The Thirty-Third AAAI Conference on Artificial Intelligence
The Thirty-First Innovative Applications of Artificial Intelligence Conference
The Ninth AAAI Symposium on Educational Advances in Artificial Intelligence.
Sponsored by the Association for the Advancement of Artificial Intelligence
Honolulu, Hawaii USA — January 27–February 1, 2019
Published by the AAAI Press, Palo Alto, California USA
Copyright © 2019,
Association for the Advancement of Artificial Intelligence
2275 East Bayshore Road, Suite 160 Palo Alto, California 94303
All rights reserved. No part of this book may be reproduced in any form by any electronic or mechanical means (including photocopying, recording, or information storage and retrieval) without permission in writing from the publisher.
10,300 pp., illus, references.
ISSN 2374-3468 (Online)
Volume 33 Number 1 (2019)
Print Version:
ISSN 2159-5399 (Print)
ISBN 978-1-57735-809-1
Open Access Date: 2019-07-23
The AAAI Conference on Artificial Intelligence promotes theoretical and applied AI research as well as intellectual interchange among researchers and practitioners. The technical program features substantial, original research and practices influencing AI's development throughout the world.
The surge in public interest in AI technologies, that we have witnessed over the past few years, continued to accelerate in 2018-2019, with the societal and economic impact of AI becoming a point of public and government discussion worldwide. AAAI-19 saw a record number of submissions and attendance numbers in the history of AAAI series of conferences. AAAI-19 continued its tradition of attracting top-quality papers from all areas of AI. Moreover, in 2019, we were excited to see increases in submissions across almost all areas and especially in reasoning under uncertainty, applications, humans and AI, as well as in the big three: machine learning, computer vision and natural language processing.
The AAAI-19 program consisted of a core technical program of original research presentations. It additionally featured a broad range of tutorials, workshops, invited talks and panels, student abstracts, a debate, and presentations by senior members. The program was rounded out by technical demonstrations, exhibits, the AI job fair, the student outreach program, and a game night. AAAI-19 continued its tradition of colocating with the long-running IAAI conference and the EAAI symposium.
Contents
AAAI Technical Track: AI and the Web
Incorporating Behavioral Constraints in Online AI Systems
Avinash Balakrishnan, Djallel Bouneffouf, Nicholas Mattei, Francesca Rossi
Pages 3-11 |
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Outlier Aware Network Embedding for Attributed Networks
Sambaran Bandyopadhyay, N. Lokesh, M. N. Murty
Pages 12-19 |
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Comparative Document Summarisation via Classification
Umanga Bista, Alexander Mathews, Minjeong Shin, Aditya Krishna Menon, Lexing Xie
Pages 20-28 |
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ColNet: Embedding the Semantics of Web Tables for Column Type Prediction
Jiaoyan Chen, Ernesto Jiménez-Ruiz, Ian Horrocks, Charles Sutton
Pages 29-36 |
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Improving One-Class Collaborative Filtering via Ranking-Based Implicit Regularizer
Jin Chen, Defu Lian, Kai Zheng
Pages 37-44 |
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Answer Identification from Product Reviews for User Questions by Multi-Task Attentive Networks
Long Chen, Ziyu Guan, Wei Zhao, Wanqing Zhao, Xiaopeng Wang, Zhou Zhao, Huan Sun
Pages 45-52 |
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Dynamic Explainable Recommendation Based on Neural Attentive Models
Xu Chen, Yongfeng Zhang, Zheng Qin
Pages 53-60 |
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DeepCF: A Unified Framework of Representation Learning and Matching Function Learning in Recommender System
Zhi-Hong Deng, Ling Huang, Chang-Dong Wang, Jian-Huang Lai, Philip S. Yu
Pages 61-68 |
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TableSense: Spreadsheet Table Detection with Convolutional Neural Networks
Haoyu Dong, Shijie Liu, Shi Han, Zhouyu Fu, Dongmei Zhang
Pages 69-76 |
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Triple Classification Using Regions and Fine-Grained Entity Typing
Tiansi Dong, Zhigang Wang, Juanzi Li, Christian Bauckhage, Armin B. Cremers
Pages 77-85 |
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Dynamic Layer Aggregation for Neural Machine Translation with Routing-by-Agreement
Zi-Yi Dou, Zhaopeng Tu, Xing Wang, Longyue Wang, Shuming Shi, Tong Zhang
Pages 86-93 |
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Deeply Fusing Reviews and Contents for Cold Start Users in Cross-Domain Recommendation Systems
Wenjing Fu, Zhaohui Peng, Senzhang Wang, Yang Xu, Jin Li
Pages 94-101 |
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Feature Sampling Based Unsupervised Semantic Clustering for Real Web Multi-View Content
Xiaolong Gong, Linpeng Huang, Fuwei Wang
Pages 102-109 |
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Cooperative Multimodal Approach to Depression Detection in Twitter
Tao Gui, Liang Zhu, Qi Zhang, Minlong Peng, Xu Zhou, Keyu Ding, Zhigang Chen
Pages 110-117 |
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Anchors Bring Ease: An Embarrassingly Simple Approach to Partial Multi-View Clustering
Jun Guo, Jiahui Ye
Pages 118-125 |
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Y2Seq2Seq: Cross-Modal Representation Learning for 3D Shape and Text by Joint Reconstruction and Prediction of View and Word Sequences
Zhizhong Han, Mingyang Shang, Xiyang Wang, Yu-Shen Liu, Matthias Zwicker
Pages 126-133 |
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Learning to Align Question and Answer Utterances in Customer Service Conversation with Recurrent Pointer Networks
Shizhu He, Kang Liu, Weiting An
Pages 134-141 |
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Exploiting Background Knowledge in Compact Answer Generation for Why-Questions
Ryu Iida, Canasai Kruengkrai, Ryo Ishida, Kentaro Torisawa, Jong-Hoon Oh, Julien Kloetzer
Pages 142-151 |
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Graph Convolutional Networks Meet Markov Random Fields: Semi-Supervised Community Detection in Attribute Networks
Di Jin, Ziyang Liu, Weihao Li, Dongxiao He, Weixiong Zhang
Pages 152-159 |
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Incorporating Network Embedding into Markov Random Field for Better Community Detection
Di Jin, Xinxin You, Weihao Li, Dongxiao He, Peng Cui, Françoise Fogelman-Soulié, Tanmoy Chakraborty
Pages 160-167 |
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Crawling the Community Structure of Multiplex Networks
Ricky Laishram, Jeremy D. Wendt, Sucheta Soundarajan
Pages 168-175 |
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Coupled CycleGAN: Unsupervised Hashing Network for Cross-Modal Retrieval
Chao Li, Cheng Deng, Lei Wang, De Xie, Xianglong Liu
Pages 176-183 |
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Supervised User Ranking in Signed Social Networks
Xiaoming Li, Hui Fang, Jie Zhang
Pages 184-191 |
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Personalized Question Routing via Heterogeneous Network Embedding
Zeyu Li, Jyun-Yu Jiang, Yizhou Sun, Wei Wang
Pages 192-199 |
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Popularity Prediction on Online Articles with Deep Fusion of Temporal Process and Content Features
Dongliang Liao, Jin Xu, Gongfu Li, Weijie Huang, Weiqing Liu, Jing Li
Pages 200-207 |
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Discrete Social Recommendation
Chenghao Liu, Xin Wang, Tao Lu, Wenwu Zhu, Jianling Sun, Steven C. H. Hoi
Pages 208-215 |
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SNR: Sub-Network Routing for Flexible Parameter Sharing in Multi-Task Learning
Jiaqi Ma, Zhe Zhao, Jilin Chen, Ang Li, Lichan Hong, Ed H. Chi
Pages 216-223 |
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DTMT: A Novel Deep Transition Architecture for Neural Machine Translation
Fandong Meng, Jinchao Zhang
Pages 224-231 |
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Multi-Perspective Relevance Matching with Hierarchical ConvNets for Social Media Search
Jinfeng Rao, Wei Yang, Yuhao Zhang, Ferhan Ture, Jimmy Lin
Pages 232-240 |
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Unsupervised Neural Machine Translation with SMT as Posterior Regularization
Shuo Ren, Zhirui Zhang, Shujie Liu, Ming Zhou, Shuai Ma
Pages 241-248 |
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Mining Entity Synonyms with Efficient Neural Set Generation
Jiaming Shen, Ruiliang Lyu, Xiang Ren, Michelle Vanni, Brian Sadler, Jiawei Han
Pages 249-256 |
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Surveys without Questions: A Reinforcement Learning Approach
Atanu R Sinha, Deepali Jain, Nikhil Sheoran, Sopan Khosla, Reshmi Sasidharan
Pages 257-264 |
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ATP: Directed Graph Embedding with Asymmetric Transitivity Preservation
Jiankai Sun, Bortik Bandyopadhyay, Armin Bashizade, Jiongqian Liang, P. Sadayappan, Srinivasan Parthasarathy
Pages 265-272 |
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Learning from Web Data Using Adversarial Discriminative Neural Networks for Fine-Grained Classification
Xiaoxiao Sun, Liyi Chen, Jufeng Yang
Pages 273-280 |
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Meimei: An Efficient Probabilistic Approach for Semantically Annotating Tables
Kunihiro Takeoka, Masafumi Oyamada, Shinji Nakadai, Takeshi Okadome
Pages 281-288 |
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DeepTileBars: Visualizing Term Distribution for Neural Information Retrieval
Zhiwen Tang, Grace Hui Yang
Pages 289-296 |
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Entity Alignment between Knowledge Graphs Using Attribute Embeddings
Bayu Distiawan Trisedya, Jianzhong Qi, Rui Zhang
Pages 297-304 |
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VistaNet: Visual Aspect Attention Network for Multimodal Sentiment Analysis
Quoc-Tuan Truong, Hady W. Lauw
Pages 305-312 |
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UGSD: User Generated Sentiment Dictionaries from Online Customer Reviews
Chun-Hsiang Wang, Kang-Chun Fan, Chuan-Ju Wang, Ming-Feng Tsai
Pages 313-320 |
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Community Detection in Social Networks Considering Topic Correlations
Yingkui Wang, Di Jin, Katarzyna Musial, Jianwu Dang
Pages 321-328 |
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Community Focusing: Yet Another Query-Dependent Community Detection
Zhuo Wang, Weiping Wang, Chaokun Wang, Xiaoyan Gu, Bo Li, Dan Meng
Pages 329-337 |
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Multi-Level Deep Cascade Trees for Conversion Rate Prediction in Recommendation System
Hong Wen, Jing Zhang, Quan Lin, Keping Yang, Pipei Huang
Pages 338-345 |
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Session-Based Recommendation with Graph Neural Networks
Shu Wu, Yuyuan Tang, Yanqiao Zhu, Liang Wang, Xing Xie, Tieniu Tan
Pages 346-353 |
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CISI-net: Explicit Latent Content Inference and Imitated Style Rendering for Image Inpainting
Jing Xiao, Liang Liao, Qiegen Liu, Ruimin Hu
Pages 354-362 |
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Structured and Sparse Annotations for Image Emotion Distribution Learning
Haitao Xiong, Hongfu Liu, Bineng Zhong, Yun Fu
Pages 363-370 |
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Multi-Interactive Memory Network for Aspect Based Multimodal Sentiment Analysis
Nan Xu, Wenji Mao, Guandan Chen
Pages 371-378 |
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Multi-View Information-Theoretic Co-Clustering for Co-Occurrence Data
Peng Xu, Zhaohong Deng, Kup-Sze Choi, Longbing Cao, Shitong Wang
Pages 379-386 |
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Context-Aware Self-Attention Networks
Baosong Yang, Jian Li, Derek F. Wong, Lidia S. Chao, Xing Wang, Zhaopeng Tu
Pages 387-394 |
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Adversarial Training for Community Question Answer Selection Based on Multi-Scale Matching
Xiao Yang, Madian Khabsa, Miaosen Wang, Wei Wang, Ahmed Hassan Awadallah, Daniel Kifer, C. Lee Giles
Pages 395-402 |
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TransNFCM: Translation-Based Neural Fashion Compatibility Modeling
Xun Yang, Yunshan Ma, Lizi Liao, Meng Wang, Tat-Seng Chua
Pages 403-410 |
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Data Augmentation Based on Adversarial Autoencoder Handling Imbalance for Learning to Rank
Qian Yu, Wai Lam
Pages 411-418 |
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Cross-Relation Cross-Bag Attention for Distantly-Supervised Relation Extraction
Yujin Yuan, Liyuan Liu, Siliang Tang, Zhongfei Zhang, Yueting Zhuang, Shiliang Pu, Fei Wu, Xiang Ren
Pages 419-426 |
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Text Assisted Insight Ranking Using Context-Aware Memory Network
Qi Zeng, Liangchen Luo, Wenhao Huang, Yang Tang
Pages 427-434 |
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Hierarchical Reinforcement Learning for Course Recommendation in MOOCs
Jing Zhang, Bowen Hao, Bo Chen, Cuiping Li, Hong Chen, Jimeng Sun
Pages 435-442 |
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Regularizing Neural Machine Translation by Target-Bidirectional Agreement
Zhirui Zhang, Shuangzhi Wu, Shujie Liu, Mu Li, Ming Zhou, Tong Xu
Pages 443-450 |
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Addressing the Under-Translation Problem from the Entropy Perspective
Yang Zhao, Jiajun Zhang, Chengqing Zong, Zhongjun He, Hua Wu
Pages 451-458 |
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Robust Online Matching with User Arrival Distribution Drift
Yu-Hang Zhou, Chen Liang, Nan Li, Cheng Yang, Shenghuo Zhu, Rong Jin
Pages 459-466 |
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AAAI Technical Track: AI for Social Impact
Predicting Hurricane Trajectories Using a Recurrent Neural Network
Sheila Alemany, Jonathan Beltran, Adrian Perez, Sam Ganzfried
Pages 468-475 |
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Automatic Detection and Compression for Passive Acoustic Monitoring of the African Forest Elephant
Johan Bjorck, Brendan H. Rappazzo, Di Chen, Richard Bernstein, Peter H. Wrege, Carla P. Gomes
Pages 476-484 |
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Gated Residual Recurrent Graph Neural Networks for Traffic Prediction
Cen Chen, Kenli Li, Sin G. Teo, Xiaofeng Zou, Kang Wang, Jie Wang, Zeng Zeng
Pages 485-492 |
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Bias Reduction via End-to-End Shift Learning: Application to Citizen Science
Di Chen, Carla P. Gomes
Pages 493-500 |
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Coverage Centrality Maximization in Undirected Networks
Gianlorenzo D’Angelo, Martin Olsen, Lorenzo Severini
Pages 501-508 |
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Bayesian Fairness
Christos Dimitrakakis, Yang Liu, David C. Parkes, Goran Radanovic
Pages 509-516 |
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Understanding Dropouts in MOOCs
Wenzheng Feng, Jie Tang, Tracy Xiao Liu
Pages 517-524 |
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Blameworthiness in Multi-Agent Settings
Meir Friedenberg, Joseph Y. Halpern
Pages 525-532 |
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Optimal Surveillance of Covert Networks by Minimizing Inverse Geodesic Length
Serge Gaspers, Kamran Najeebullah
Pages 533-540 |
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Resisting Adversarial Attacks Using Gaussian Mixture Variational Autoencoders
Partha Ghosh, Arpan Losalka, Michael J. Black
Pages 541-548 |
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Migration as Submodular Optimization
Paul Gölz, Ariel D. Procaccia
Pages 549-556 |
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PGANs: Personalized Generative Adversarial Networks for ECG Synthesis to Improve Patient-Specific Deep ECG Classification
Tomer Golany, Kira Radinsky
Pages 557-564 |
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Selecting Compliant Agents for Opt-in Micro-Tolling
Josiah P. Hanna, Guni Sharon, Stephen D. Boyles, Peter Stone
Pages 565-572 |
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HireNet: A Hierarchical Attention Model for the Automatic Analysis of Asynchronous Video Job Interviews
Léo Hemamou, Ghazi Felhi, Vincent Vandenbussche, Jean-Claude Martin, Chloé Clavel
Pages 573-581 |
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Learning Diffusions without Timestamps
Hao Huang, Qian Yan, Ting Gan, Di Niu, Wei Lu, Yunjun Gao
Pages 582-589 |
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CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison
Jeremy Irvin, Pranav Rajpurkar, Michael Ko, Yifan Yu, Silviana Ciurea-Ilcus, Chris Chute, Henrik Marklund, Behzad Haghgoo, Robyn Ball, Katie Shpanskaya, Jayne Seekins, David A. Mong, Safwan S. Halabi, Jesse K. Sandberg, Ricky Jones, David B. Larson, Curtis P. Langlotz, Bhavik N. Patel, Matthew P. Lungren, Andrew Y. Ng
Pages 590-597 |
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Evolutionarily Learning Multi-Aspect Interactions and Influences from Network Structure and Node Content
Songlei Jian, Liang Hu, Longbing Cao, Kai Lu, Hang Gao
Pages 598-605 |
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Multi-GCN: Graph Convolutional Networks for Multi-View Networks, with Applications to Global Poverty
Muhammad Raza Khan, Joshua E. Blumenstock
Pages 606-613 |
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Algorithms for Estimating Trends in Global Temperature Volatility
Arash Khodadadi, Daniel J. McDonald
Pages 614-621 |
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Allocating Interventions Based on Predicted Outcomes: A Case Study on Homelessness Services
Amanda Kube, Sanmay Das, Patrick J. Fowler
Pages 622-629 |
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ReAl-LiFE: Accelerating the Discovery of Individualized Brain Connectomes on GPUs
Sawan Kumar, Varsha Sreenivasan, Partha Talukdar, Franco Pestilli, Devarajan Sridharan
Pages 630-638 |
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Latent Dirichlet Allocation for Internet Price War
Chenchen Li, Xiang Yan, Xiaotie Deng, Yuan Qi, Wei Chu, Le Song, Junlong Qiao, Jianshan He, Junwu Xiong
Pages 639-646 |
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Deep Hierarchical Graph Convolution for Election Prediction from Geospatial Census Data
Mike Li, Elija Perrier, Chang Xu
Pages 647-654 |
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Who Blames Whom in a Crisis? Detecting Blame Ties from News Articles Using Neural Networks
Shuailong Liang, Olivia Nicol, Yue Zhang
Pages 655-662 |
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Convex Formulations for Fair Principal Component Analysis
Matt Olfat, Anil Aswani
Pages 663-670 |
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Violence Rating Prediction from Movie Scripts
Victor R. Martinez, Krishna Somandepalli, Karan Singla, Anil Ramakrishna, Yalda T. Uhls, Shrikanth Narayanan
Pages 671-678 |
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Image Aesthetic Assessment Assisted by Attributes through Adversarial Learning
Bowen Pan, Shangfei Wang, Qisheng Jiang
Pages 679-686 |
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A Model-Free Affective Reinforcement Learning Approach to Personalization of an Autonomous Social Robot Companion for Early Literacy Education
Hae Won Park, Ishaan Grover, Samuel Spaulding, Louis Gomez, Cynthia Breazeal
Pages 687-694 |
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Emergency Department Online Patient-Caregiver Scheduling
Hanan Rosemarin, Ariel Rosenfeld, Sarit Kraus
Pages 695-701 |
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Multi3Net: Segmenting Flooded Buildings via Fusion of Multiresolution, Multisensor, and Multitemporal Satellite Imagery
Tim G. J. Rudner, Marc Rußwurm, Jakub Fil, Ramona Pelich, Benjamin Bischke, Veronika Kopačková, Piotr Biliński
Pages 702-709 |
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Learning to Address Health Inequality in the United States with a Bayesian Decision Network
Tavpritesh Sethi, Anant Mittal, Shubham Maheshwari, Samarth Chugh
Pages 710-717 |
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Axiomatic Characterization of Data-Driven Influence Measures for Classification
Jakub Sliwinski, Martin Strobel, Yair Zick
Pages 718-725 |
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Hotels-50K: A Global Hotel Recognition Dataset
Abby Stylianou, Hong Xuan, Maya Shende, Jonathan Brandt, Richard Souvenir, Robert Pless
Pages 726-733 |
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A Study of Educational Data Mining: Evidence from a Thai University
Ruangsak Trakunphutthirak, Yen Cheung, Vincent C. S. Lee
Pages 734-741 |
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AutoZOOM: Autoencoder-Based Zeroth Order Optimization Method for Attacking Black-Box Neural Networks
Chun-Chen Tu, Paishun Ting, Pin-Yu Chen, Sijia Liu, Huan Zhang, Jinfeng Yi, Cho-Jui Hsieh, Shin-Ming Cheng
Pages 742-749 |
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Knowledge Tracing Machines: Factorization Machines for Knowledge Tracing
Jill-Jenn Vie, Hisashi Kashima
Pages 750-757 |
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Forbidden Nodes Aware Community Search
Chaokun Wang, Junchao Zhu
Pages 758-765 |
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Bidirectional Inference Networks:A Class of Deep Bayesian Networks for Health Profiling
Hao Wang, Chengzhi Mao, Hao He, Mingmin Zhao, Tommi S. Jaakkola, Dina Katabi
Pages 766-773 |
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DeepETA: A Spatial-Temporal Sequential Neural Network Model for Estimating Time of Arrival in Package Delivery System
Fan Wu, Lixia Wu
Pages 774-781 |
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Zero Shot Learning for Code Education: Rubric Sampling with Deep Learning Inference
Mike Wu, Milan Mosse, Noah Goodman, Chris Piech
Pages 782-790 |
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Detecting Incongruity between News Headline and Body Text via a Deep Hierarchical Encoder
Seunghyun Yoon, Kunwoo Park, Joongbo Shin, Hongjun Lim, Seungpil Won, Meeyoung Cha, Kyomin Jung
Pages 791-800 |
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EnsNet: Ensconce Text in the Wild
Shuaitao Zhang, Yuliang Liu, Lianwen Jin, Yaoxiong Huang, Songxuan Lai
Pages 801-808 |
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Weakly-Supervised Simultaneous Evidence Identification and Segmentation for Automated Glaucoma Diagnosis
Rongchang Zhao, Wangmin Liao, Beiji Zou, Zailiang Chen, Shuo Li
Pages 809-816 |
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A Neural Multi-Task Learning Framework to Jointly Model Medical Named Entity Recognition and Normalization
Sendong Zhao, Ting Liu, Sicheng Zhao, Fei Wang
Pages 817-824 |
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Exploiting Time-Series Image-to-Image Translation to Expand the Range of Wildlife Habitat Analysis
Ruobing Zheng, Ze Luo, Baoping Yan
Pages 825-832 |
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AAAI Technical Track: Applications
Adversarial Unsupervised Representation Learning for Activity Time-Series
Karan Aggarwal, Shafiq Joty, Luis Fernandez-Luque, Jaideep Srivastava
Pages 834-841 |
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Beyond Speech: Generalizing D-Vectors for Biometric Verification
Jacob Baldwin, Ryan Burnham, Andrew Meyer, Robert Dora, Robert Wright
Pages 842-849 |
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Deep Latent Generative Models for Energy Disaggregation
Gissella Bejarano, David DeFazio, Arti Ramesh
Pages 850-857 |
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Predicting Concrete and Abstract Entities in Modern Poetry
Fiammetta Caccavale, Anders Søgaard
Pages 858-864 |
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Synergistic Image and Feature Adaptation: Towards Cross-Modality Domain Adaptation for Medical Image Segmentation
Cheng Chen, Qi Dou, Hao Chen, Jing Qin, Pheng-Ann Heng
Pages 865-872 |
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Region-Based Message Exploration over Spatio-Temporal Data Streams
Lisi Chen, Shuo Shang
Pages 873-880 |
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Deriving Subgoals Autonomously to Accelerate Learning in Sparse Reward Domains
Michael Dann, Fabio Zambetta, John Thangarajah
Pages 881-889 |
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Dynamic Spatial-Temporal Graph Convolutional Neural Networks for Traffic Forecasting
Zulong Diao, Xin Wang, Dafang Zhang, Yingru Liu, Kun Xie, Shaoyao He
Pages 890-897 |
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Turbo Learning Framework for Human-Object Interactions Recognition and Human Pose Estimation
Wei Feng, Wentao Liu, Tong Li, Jing Peng, Chen Qian, Xiaolin Hu
Pages 898-905 |
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Efficient Region Embedding with Multi-View Spatial Networks: A Perspective of Locality-Constrained Spatial Autocorrelations
Yanjie Fu, Pengyang Wang, Jiadi Du, Le Wu, Xiaolin Li
Pages 906-913 |
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VidyutVanika: A Reinforcement Learning Based Broker Agent for a Power Trading Competition
Susobhan Ghosh, Easwar Subramanian, Sanjay P. Bhat, Sujit Gujar, Praveen Paruchuri
Pages 914-921 |
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Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting
Shengnan Guo, Youfang Lin, Ning Feng, Chao Song, Huaiyu Wan
Pages 922-929 |
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Deep Reinforcement Learning for Syntactic Error Repair in Student Programs
Rahul Gupta, Aditya Kanade, Shirish Shevade
Pages 930-937 |
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Exploiting Sentence Embedding for Medical Question Answering
Yu Hao, Xien Liu, Ji Wu, Ping Lv
Pages 938-945 |
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Cash-Out User Detection Based on Attributed Heterogeneous Information Network with a Hierarchical Attention Mechanism
Binbin Hu, Zhiqiang Zhang, Chuan Shi, Jun Zhou, Xiaolong Li, Yuan Qi
Pages 946-953 |
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Combo-Action: Training Agent For FPS Game with Auxiliary Tasks
Shiyu Huang, Hang Su, Jun Zhu, Ting Chen
Pages 954-961 |
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Connecting the Digital and Physical World: Improving the Robustness of Adversarial Attacks
Steve T.K. Jan, Joseph Messou, Yen-Chen Lin, Jia-Bin Huang, Gang Wang
Pages 962-969 |
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A Memetic Approach for Sequential Security Games on a Plane with Moving Targets
Jan Karwowski, Jacek Mańdziuk, Adam Żychowski, Filip Grajek, Bo An
Pages 970-977 |
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Crash to Not Crash: Learn to Identify Dangerous Vehicles Using a Simulator
Hoon Kim, Kangwook Lee, Gyeongjo Hwang, Changho Suh
Pages 978-985 |
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Traffic Updates: Saying a Lot While Revealing a Little
John Krumm, Eric Horvitz
Pages 986-995 |
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Adversarial Learning for Weakly-Supervised Social Network Alignment
Chaozhuo Li, Senzhang Wang, Yukun Wang, Philip Yu, Yanbo Liang, Yun Liu, Zhoujun Li
Pages 996-1003 |
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Learning Heterogeneous Spatial-Temporal Representation for Bike-Sharing Demand Prediction
Youru Li, Zhenfeng Zhu, Deqiang Kong, Meixiang Xu, Yao Zhao
Pages 1004-1011 |
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SEGAN: Structure-Enhanced Generative Adversarial Network for Compressed Sensing MRI Reconstruction
Zhongnian Li, Tao Zhang, Peng Wan, Daoqiang Zhang
Pages 1012-1019 |
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DeepSTN+: Context-Aware Spatial-Temporal Neural Network for Crowd Flow Prediction in Metropolis
Ziqian Lin, Jie Feng, Ziyang Lu, Yong Li, Depeng Jin
Pages 1020-1027 |
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Perceptual-Sensitive GAN for Generating Adversarial Patches
Aishan Liu, Xianglong Liu, Jiaxin Fan, Yuqing Ma, Anlan Zhang, Huiyuan Xie, Dacheng Tao
Pages 1028-1035 |
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Joint Representation Learning for Multi-Modal Transportation Recommendation
Hao Liu, Ting Li, Renjun Hu, Yanjie Fu, Jingjing Gu, Hui Xiong
Pages 1036-1043 |
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DeepFuzz: Automatic Generation of Syntax Valid C Programs for Fuzz Testing
Xiao Liu, Xiaoting Li, Rupesh Prajapati, Dinghao Wu
Pages 1044-1051 |
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Molecular Property Prediction: A Multilevel Quantum Interactions Modeling Perspective
Chengqiang Lu, Qi Liu, Chao Wang, Zhenya Huang, Peize Lin, Lixin He
Pages 1052-1060 |
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Play as You Like: Timbre-Enhanced Multi-Modal Music Style Transfer
Chien-Yu Lu, Min-Xin Xue, Chia-Che Chang, Che-Rung Lee, Li Su
Pages 1061-1068 |
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AffinityNet: Semi-Supervised Few-Shot Learning for Disease Type Prediction
Tianle Ma, Aidong Zhang
Pages 1069-1076 |
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Scalable Robust Kidney Exchange
Duncan C McElfresh, Hoda Bidkhori, John P Dickerson
Pages 1077-1084 |
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Difficulty-Aware Attention Network with Confidence Learning for Medical Image Segmentation
Dong Nie, Li Wang, Lei Xiang, Sihang Zhou, Ehsan Adeli, Dinggang Shen
Pages 1085-1092 |
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Pathological Evidence Exploration in Deep Retinal Image Diagnosis
Yuhao Niu, Lin Gu, Feng Lu, Feifan Lv, Zongji Wang, Imari Sato, Zijian Zhang, Yangyan Xiao, Xunzhang Dai, Tingting Cheng
Pages 1093-1101 |
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Building Causal Graphs from Medical Literature and Electronic Medical Records
Galia Nordon, Gideon Koren, Varda Shalev, Benny Kimelfeld, Uri Shalit, Kira Radinsky
Pages 1102-1109 |
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NeVAE: A Deep Generative Model for Molecular Graphs
Bidisha Samanta, Abir DE, Gourhari Jana, Pratim Kumar Chattaraj, Niloy Ganguly, Manuel Gomez Rodriguez
Pages 1110-1117 |
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PhoneMD: Learning to Diagnose Parkinson’s Disease from Smartphone Data
Patrick Schwab, Walter Karlen
Pages 1118-1125 |
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GAMENet: Graph Augmented MEmory Networks for Recommending Medication Combination
Junyuan Shang, Cao Xiao, Tengfei Ma, Hongyan Li, Jimeng Sun
Pages 1126-1133 |
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The Kelly Growth Optimal Portfolio with Ensemble Learning
Weiwei Shen, Bin Wang, Jian Pu, Jun Wang
Pages 1134-1141 |
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Spatiality Preservable Factored Poisson Regression for Large-Scale Fine-Grained GPS-Based Population Analysis
Masamichi Shimosaka, Yuta Hayakawa, Kota Tsubouchi
Pages 1142-1149 |
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Subtask Gated Networks for Non-Intrusive Load Monitoring
Changho Shin, Sunghwan Joo, Jaeryun Yim, Hyoseop Lee, Taesup Moon, Wonjong Rhee
Pages 1150-1157 |
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Improving Search with Supervised Learning in Trick-Based Card Games
Christopher Solinas, Douglas Rebstock, Michael Buro
Pages 1158-1165 |
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Exploiting the Contagious Effect for Employee Turnover Prediction
Mingfei Teng, Hengshu Zhu, Chuanren Liu, Chen Zhu, Hui Xiong
Pages 1166-1173 |
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PerformanceNet: Score-to-Audio Music Generation with Multi-Band Convolutional Residual Network
Bryan Wang, Yi-Hsuan Yang
Pages 1174-1181 |
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Differentially Private Empirical Risk Minimization with Smooth Non-Convex Loss Functions: A Non-Stationary View
Di Wang, Jinhui Xu
Pages 1182-1189 |
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Private Model Compression via Knowledge Distillation
Ji Wang, Weidong Bao, Lichao Sun, Xiaomin Zhu, Bokai Cao, Philip S. Yu
Pages 1190-1197 |
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Functional Connectivity Network Analysis with Discriminative Hub Detection for Brain Disease Identification
Mingliang Wang, Jiashuang Huang, Mingxia Liu, Daoqiang Zhang
Pages 1198-1205 |
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Hierarchical Macro Strategy Model for MOBA Game AI
Bin Wu
Pages 1206-1213 |
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G2C: A Generator-to-Classifier Framework Integrating Multi-Stained Visual Cues for Pathological Glomerulus Classification
Bingzhe Wu, Xiaolu Zhang, Shiwan Zhao, Lingxi Xie, Caihong Zeng, Zhihong Liu, Guangyu Sun
Pages 1214-1221 |
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On Strength Adjustment for MCTS-Based Programs
I-Chen Wu, Ti-Rong Wu, An-Jen Liu, Hung Guei, Tinghan Wei
Pages 1222-1229 |
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A2-Net: Molecular Structure Estimation from Cryo-EM Density Volumes
Kui Xu, Zhe Wang, Jianping Shi, Hongsheng Li, Qiangfeng Cliff Zhang
Pages 1230-1237 |
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TET-GAN: Text Effects Transfer via Stylization and Destylization
Shuai Yang, Jiaying Liu, Wenjing Wang, Zongming Guo
Pages 1238-1245 |
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Learning Phenotypes and Dynamic Patient Representations via RNN Regularized Collective Non-Negative Tensor Factorization
Kejing Yin, Dong Qian, William K. Cheung, Benjamin C. M. Fung, Jonathan Poon
Pages 1246-1253 |
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MetaStyle: Three-Way Trade-off among Speed, Flexibility, and Quality in Neural Style Transfer
Chi Zhang, Yixin Zhu, Song-Chun Zhu
Pages 1254-1261 |
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Optimal Interdiction of Urban Criminals with the Aid of Real-Time Information
Youzhi Zhang, Qingyu Guo, Bo An, Long Tran-Thanh, Nicholas R. Jennings
Pages 1262-1269 |
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Incorporating Semantic Similarity with Geographic Correlation for Query-POI Relevance Learning
Ji Zhao, Dan Peng, Chuhan Wu, Huan Chen, Meiyu Yu, Wanji Zheng, Li Ma, Hua Chai, Jieping Ye, Xiaohu Qie
Pages 1270-1277 |
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SAFE: A Neural Survival Analysis Model for Fraud Early Detection
Panpan Zheng, Shuhan Yuan, Xintao Wu
Pages 1278-1285 |
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One-Class Adversarial Nets for Fraud Detection
Panpan Zheng, Shuhan Yuan, Xintao Wu, Jun Li, Aidong Lu
Pages 1286-1293 |
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DeepDPM: Dynamic Population Mapping via Deep Neural Network
Zefang Zong, Jie Feng, Kechun Liu, Hongzhi Shi, Yong Li
Pages 1294-1301 |
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AAAI Technical Track: Cognitive Modeling
Cognitive Deficit of Deep Learning in Numerosity
Xiaolin Wu, Xi Zhang, Xiao Shu
Pages 1303-1310 |
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Direct Training for Spiking Neural Networks: Faster, Larger, Better
Yujie Wu, Lei Deng, Guoqi Li, Jun Zhu, Yuan Xie, Luping Shi
Pages 1311-1318 |
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TDSNN: From Deep Neural Networks to Deep Spike Neural Networks with Temporal-Coding
Lei Zhang, Shengyuan Zhou, Tian Zhi, Zidong Du, Yunji Chen
Pages 1319-1326 |
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MPD-AL: An Efficient Membrane Potential Driven Aggregate-Label Learning Algorithm for Spiking Neurons
Malu Zhang, Jibin Wu, Yansong Chua, Xiaoling Luo, Zihan Pan, Dan Liu, Haizhou Li
Pages 1327-1334 |
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AAAI Technical Track: Cognitive Systems
Human-Like Sketch Object Recognition via Analogical Learning
Kezhen Chen, Irina Rabkina, Matthew D. McLure, Kenneth D. Forbus
Pages 1336-1343 |
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Attentive Tensor Product Learning
Qiuyuan Huang, Li Deng, Dapeng Wu, Chang Liu, Xiaodong He
Pages 1344-1351 |
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Scalable Recollections for Continual Lifelong Learning
Matthew Riemer, Tim Klinger, Djallel Bouneffouf, Michele Franceschini
Pages 1352-1359 |
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Simulation-Based Approach to Efficient Commonsense Reasoning in Very Large Knowledge Bases
Abhishek Sharma, Keith M. Goolsbey
Pages 1360-1367 |
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Modelling Autobiographical Memory Loss across Life Span
Di Wang, Ah-Hwee Tan, Chunyan Miao, Ahmed A. Moustafa
Pages 1368-1375 |
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AAAI Technical Track: Computational Sustainability
Deep Bayesian Optimization on Attributed Graphs
Jiaxu Cui, Bo Yang, Xia Hu
Pages 1377-1384 |
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Interpretable Predictive Modeling for Climate Variables with Weighted Lasso
Sijie He, Xinyan Li, Vidyashankar Sivakumar, Arindam Banerjee
Pages 1385-1392 |
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A Deep Reinforcement Learning Framework for Rebalancing Dockless Bike Sharing Systems
Ling Pan, Qingpeng Cai, Zhixuan Fang, Pingzhong Tang, Longbo Huang
Pages 1393-1400 |
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Deep Reinforcement Learning for Green Security Games with Real-Time Information
Yufei Wang, Zheyuan Ryan Shi, Lantao Yu, Yi Wu, Rohit Singh, Lucas Joppa, Fei Fang
Pages 1401-1408 |
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A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data
Chuxu Zhang, Dongjin Song, Yuncong Chen, Xinyang Feng, Cristian Lumezanu, Wei Cheng, Jingchao Ni, Bo Zong, Haifeng Chen, Nitesh V. Chawla
Pages 1409-1416 |
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AAAI Technical Track: Constraint Satisfaction and Optimization
Learning Optimal and Fair Decision Trees for Non-Discriminative Decision-Making
Sina Aghaei, Mohammad Javad Azizi, Phebe Vayanos
Pages 1418-1426 |
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Clairvoyant Restarts in Branch-and-Bound Search Using Online Tree-Size Estimation
Daniel Anderson, Gregor Hendel, Pierre Le Bodic, Merlin Viernickel
Pages 1427-1434 |
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A SAT+CAS Approach to Finding Good Matrices: New Examples and Counterexamples
Curtis Bright, Dragomir Ž. Ðoković, Ilias Kotsireas, Vijay Ganesh
Pages 1435-1442 |
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Improving Optimization Bounds Using Machine Learning: Decision Diagrams Meet Deep Reinforcement Learning
Quentin Cappart, Emmanuel Goutierre, David Bergman, Louis-Martin Rousseau
Pages 1443-1451 |
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Model-Based Diagnosis of Hybrid Systems Using Satisfiability Modulo Theory
Alexander Diedrich, Alexander Maier, Oliver Niggemann
Pages 1452-1459 |
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On Geometric Alignment in Low Doubling Dimension
Hu Ding, Mingquan Ye
Pages 1460-1467 |
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A Nonconvex Projection Method for Robust PCA
Aritra Dutta, Filip Hanzely, Peter Richtàrik
Pages 1468-1476 |
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Solving Integer Quadratic Programming via Explicit and Structural Restrictions
Eduard Eiben, Robert Ganian, Dusan Knop, Sebastian Ordyniak
Pages 1477-1484 |
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Stochastic Submodular Maximization with Performance-Dependent Item Costs
Takuro Fukunaga, Takuya Konishi, Sumio Fujita, Ken-ichi Kawarabayashi
Pages 1485-1494 |
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Constraint-Based Sequential Pattern Mining with Decision Diagrams
Amin Hosseininasab, Willem-Jan van Hoeve, Andre A. Cire
Pages 1495-1502 |
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Faster Gradient-Free Proximal Stochastic Methods for Nonconvex Nonsmooth Optimization
Feihu Huang, Bin Gu, Zhouyuan Huo, Songcan Chen, Heng Huang
Pages 1503-1510 |
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Abduction-Based Explanations for Machine Learning Models
Alexey Ignatiev, Nina Narodytska, Joao Marques-Silva
Pages 1511-1519 |
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Separator-Based Pruned Dynamic Programming for Steiner Tree
Yoichi Iwata, Takuto Shigemura
Pages 1520-1527 |
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Asynchronous Delay-Aware Accelerated Proximal Coordinate Descent for Nonconvex Nonsmooth Problems
Ehsan Kazemi, Liqiang Wang
Pages 1528-1535 |
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A Recursive Algorithm for Projected Model Counting
Jean-Marie Lagniez, Pierre Marquis
Pages 1536-1543 |
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RSA: Byzantine-Robust Stochastic Aggregation Methods for Distributed Learning from Heterogeneous Datasets
Liping Li, Wei Xu, Tianyi Chen, Georgios B. Giannakis, Qing Ling
Pages 1544-1551 |
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Adaptive Proximal Average Based Variance Reducing Stochastic Methods for Optimization with Composite Regularization
Jingchang Liu, Linli Xu, Junliang Guo, Xin Sheng
Pages 1552-1559 |
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Automatic Construction of Parallel Portfolios via Explicit Instance Grouping
Shengcai Liu, Ke Tang, Xin Yao
Pages 1560-1567 |
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On Sampling Complexity of the Semidefinite Affine Rank Feasibility Problem
Igor Molybog, Javad Lavaei
Pages 1568-1575 |
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Revisiting Projection-Free Optimization for Strongly Convex Constraint Sets
Jarrid Rector-Brooks, Jun-Kun Wang, Barzan Mozafari
Pages 1576-1583 |
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A PSPACE Subclass of Dependency Quantified Boolean Formulas and Its Effective Solving
Christoph Scholl, Jie-Hong Roland Jiang, Ralf Wimmer, Aile Ge-Ernst
Pages 1584-1591 |
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BIRD: Engineering an Efficient CNF-XOR SAT Solver and Its Applications to Approximate Model Counting
Mate Soos, Kuldeep S. Meel
Pages 1592-1599 |
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Algorithms for Average Regret Minimization
Sabine Storandt, Stefan Funke
Pages 1600-1607 |
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Concurrency Debugging with MaxSMT
Miguel Terra-Neves, Nuno Machado, Ines Lynce, Vasco Manquinho
Pages 1608-1616 |
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Bayesian Functional Optimisation with Shape Prior
Pratibha Vellanki, Santu Rana, Sunil Gupta, David Rubin de Celis Leal, Alessandra Sutti, Murray Height, Svetha Venkatesh
Pages 1617-1624 |
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Learning Optimal Classification Trees Using a Binary Linear Program Formulation
Sicco Verwer, Yingqian Zhang
Pages 1625-1632 |
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Asynchronous Proximal Stochastic Gradient Algorithm for Composition Optimization Problems
Pengfei Wang, Risheng Liu, Nenggan Zheng, Zhefeng Gong
Pages 1633-1640 |
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Low-Rank Semidefinite Programming for the MAX2SAT Problem
Po-Wei Wang, J. Zico Kolter
Pages 1641-1649 |
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Task Embedded Coordinate Update: A Realizable Framework for Multivariate Non-Convex Optimization
Yiyang Wang, Risheng Liu, Long Ma, Xiaoliang Song
Pages 1650-1657 |
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Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization
Bryan Wilder, Bistra Dilkina, Milind Tambe
Pages 1658-1665 |
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Adding Constraints to Bayesian Inverse Problems
Jiacheng Wu, Jian-Xun Wang, Shawn C. Shadden
Pages 1666-1673 |
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Optimizing in the Dark: Learning an Optimal Solution through a Simple Request Interface
Qiao Xiang, Haitao Yu, James Aspnes, Franck Le, Linghe Kong, Y. Richard Yang
Pages 1674-1681 |
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Generalized Batch Normalization: Towards Accelerating Deep Neural Networks
Xiaoyong Yuan, Zheng Feng, Matthew Norton, Xiaolin Li
Pages 1682-1689 |
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AAAI Technical Track: Game Playing and Interactive Entertainment
Tackling Sparse Rewards in Real-Time Games with Statistical Forward Planning Methods
Raluca D. Gaina, Simon M. Lucas, Diego Pérez-Liébana
Pages 1691-1698 |
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Regular Boardgames
Jakub Kowalski, Maksymilian Mika, Jakub Sutowicz, Marek Szykuła
Pages 1699-1706 |
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3D Face Synthesis Driven by Personality Impression
Yining Lang, Wei Liang, Yujia Wang, Lap-Fai Yu
Pages 1707-1714 |
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Learning to Write Stories with Thematic Consistency and Wording Novelty
Juntao Li, Lidong Bing, Lisong Qiu, Dongmin Chen, Dongyan Zhao, Rui Yan
Pages 1715-1722 |
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AAAI Technical Track: Game Theory and Economic Paradigms
The Pure Price of Anarchy of Pool Block Withholding Attacks in Bitcoin Mining
Colleen Alkalay-Houlihan, Nisarg Shah
Pages 1724-1731 |
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Fair Division with a Secretive Agent
Eshwar Ram Arunachaleswaran, Siddharth Barman, Nidhi Rathi
Pages 1732-1739 |
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Pareto Optimal Allocation under Compact Uncertain Preferences
Haris Aziz, Peter Biro, Ronald de Haan, Baharak Rastegari
Pages 1740-1747 |
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On the Proximity of Markets with Integral Equilibria
Siddharth Barman, Sanath Kumar Krishnamurthy
Pages 1748-1755 |
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Unknown Agents in Friends Oriented Hedonic Games: Stability and Complexity
Nathanaël Barrot, Kazunori Ota, Yuko Sakurai, Makoto Yokoo
Pages 1756-1763 |
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Generalized Distance Bribery
Dorothea Baumeister, Tobias Hogrebe, Lisa Rey
Pages 1764-1771 |
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From Recommendation Systems to Facility Location Games
Omer Ben-Porat, Gregory Goren, Itay Rosenberg, Moshe Tennenholtz
Pages 1772-1779 |
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Convergence of Learning Dynamics in Information Retrieval Games
Omer Ben-Porat, Itay Rosenberg, Tennenholtz
Pages 1780-1787 |
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Low-Distortion Social Welfare Functions
Gerdus Benadè, Ariel D. Procaccia, Mingda Qiao
Pages 1788-1795 |
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On Rational Delegations in Liquid Democracy
Daan Bloembergen, Davide Grossi, Martin Lackner
Pages 1796-1803 |
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Primarily about Primaries
Allan Borodin, Omer Lev, Nisarg Shah, Tyrone Strangway
Pages 1804-1811 |
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Walrasian Dynamics in Multi-Unit Markets
Simina Brânzei, Aris Filos-Ratsikas
Pages 1812-1819 |
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Fast Iterative Combinatorial Auctions via Bayesian Learning
Gianluca Brero, Sébastien Lahaie, Sven Seuken
Pages 1820-1828 |
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Solving Imperfect-Information Games via Discounted Regret Minimization
Noam Brown, Tuomas Sandholm
Pages 1829-1836 |
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Partial Verification as a Substitute for Money
Sofia Ceppi, Ian Kash, Rafael Frongillo
Pages 1837-1844 |
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Randomized Wagering Mechanisms
Yiling Chen, Yang Liu, Juntao Wang
Pages 1845-1852 |
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Group Fairness for the Allocation of Indivisible Goods
Vincent Conitzer, Rupert Freeman, Nisarg Shah, Jennifer Wortman Vaughan
Pages 1853-1860 |
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Solving Large Extensive-Form Games with Strategy Constraints
Trevor Davis, Kevin Waugh, Michael Bowling
Pages 1861-1868 |
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On the Complexity of the Inverse Semivalue Problem for Weighted Voting Games
Ilias Diakonikolas, Chrystalla Pavlou
Pages 1869-1876 |
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Balancing Relevance and Diversity in Online Bipartite Matching via Submodularity
John P. Dickerson, Karthik Abinav Sankararaman, Aravind Srinivasan, Pan Xu
Pages 1877-1884 |
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Online Pandora’s Boxes and Bandits
Hossein Esfandiari, MohammadTaghi HajiAghayi, Brendan Lucier, Michael Mitzenmacher
Pages 1885-1892 |
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Random Dictators with a Random Referee: Constant Sample Complexity Mechanisms for Social Choice
Brandon Fain, Ashish Goel, Kamesh Munagala, Nina Prabhu
Pages 1893-1900 |
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Approximation and Hardness of Shift-Bribery
Piotr Faliszewski, Pasin Manurangsi, Krzysztof Sornat
Pages 1901-1908 |
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How Similar Are Two Elections?
Piotr Faliszewski, Piotr Skowron, Arkadii Slinko, Stanisław Szufa, Nimrod Talmon
Pages 1909-1916 |
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Online Convex Optimization for Sequential Decision Processes and Extensive-Form Games
Gabriele Farina, Christian Kroer, Tuomas Sandholm
Pages 1917-1925 |
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An Improved Quasi-Polynomial Algorithm for Approximate Well-Supported Nash Equilibria
Michail Fasoulakis, Evangelos Markakis
Pages 1926-1932 |
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Very Hard Electoral Control Problems
Zack Fitzsimmons, Edith Hemaspaandra, Alexander Hoover, David E. Narváez
Pages 1933-1940 |
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Fair Knapsack
Till Fluschnik, Piotr Skowron, Mervin Triphaus, Kai Wilker
Pages 1941-1948 |
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A Bridge between Liquid and Social Welfare in Combinatorial Auctions with Submodular Bidders
Dimitris Fotakis, Kyriakos Lotidis, Chara Podimata
Pages 1949-1956 |
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An Equivalence between Wagering and Fair-Division Mechanisms
Rupert Freeman, David M. Pennock, Jennifer Wortman Vaughan
Pages 1957-1964 |
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Fair and Efficient Memory Sharing: Confronting Free Riders
Eric J. Friedman, Vasilis Gkatzelis, Christos-Alexandros Psomas, Scott Shenker
Pages 1965-1972 |
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Multi-Unit Bilateral Trade
Matthias Gerstgrasser, Paul W. Goldberg, Bart de Keijzer, Philip Lazos, Alexander Skopalik
Pages 1973-1980 |
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On the Distortion Value of the Elections with Abstention
Mohammad Ghodsi, Mohamad Latifian, Masoud Seddighin
Pages 1981-1988 |
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Pareto Efficient Auctions with Interest Rates
Gagan Goel, Vahab Mirrokni, Renato Paes Leme
Pages 1989-1995 |
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Deep Bayesian Trust: A Dominant and Fair Incentive Mechanism for Crowd
Naman Goel, Boi Faltings
Pages 1996-2003 |
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You Get What You Share: Incentives for a Sharing Economy
Sreenivas Gollapudi, Kostas Kollias, Debmalya Panigrahi
Pages 2004-2011 |
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Computing the Yolk in Spatial Voting Games without Computing Median Lines
Joachim Gudmundsson, Sampson Wong
Pages 2012-2019 |
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On the Inducibility of Stackelberg Equilibrium for Security Games
Qingyu Guo, Jiarui Gan, Fei Fang, Long Tran-Thanh, Milind Tambe, Bo An
Pages 2020-2028 |
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Solving Partially Observable Stochastic Games with Public Observations
Karel Horák, Branislav Bošanský
Pages 2029-2036 |
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Object Reachability via Swaps along a Line
Sen Huang, Mingyu Xiao
Pages 2037-2044 |
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Pareto-Optimal Allocation of Indivisible Goods with Connectivity Constraints
Ayumi Igarashi, Dominik Peters
Pages 2045-2052 |
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Forming Probably Stable Communities with Limited Interactions
Ayumi Igarashi, Jakub Sliwinski, Yair Zick
Pages 2053-2060 |
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Approximate Inference of Outcomes in Probabilistic Elections
Batya Kenig, Benny Kimelfeld
Pages 2061-2068 |
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“Reverse Gerrymandering”: Manipulation in Multi-Group Decision Making
Omer Lev, Yoad Lewenberg
Pages 2069-2076 |
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Heuristic Voting as Ordinal Dominance Strategies
Omer Lev, Reshef Meir, Svetlana Obraztsova, Maria Polukarov
Pages 2077-2084 |
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Cooperation Enforcement and Collusion Resistance in Repeated Public Goods Games
Kai Li, Dong Hao
Pages 2085-2092 |
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Revenue Enhancement via Asymmetric Signaling in Interdependent-Value Auctions
Zhuoshu Li, Sanmay Das
Pages 2093-2100 |
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Dynamic Contracting under Positive Commitment
Ilan Lobel, Renato Paes Leme
Pages 2101-2108 |
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When Do Envy-Free Allocations Exist?
Pasin Manurangsi, Warut Suksompong
Pages 2109-2116 |
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Quasi-Perfect Stackelberg Equilibrium
Alberto Marchesi, Gabriele Farina, Christian Kroer, Nicola Gatti, Tuomas Sandholm
Pages 2117-2124 |
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Optimal Dynamic Auctions Are Virtual Welfare Maximizers
Vahab Mirrokni, Renato Paes Leme, Pingzhong Tang, Song Zuo
Pages 2125-2132 |
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Deception in Finitely Repeated Security Games
Thanh H. Nguyen, Yongzhao Wang, Arunesh Sinha, Michael P. Wellman
Pages 2133-2140 |
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Fairly Allocating Many Goods with Few Queries
Hoon Oh, Ariel D. Procaccia, Warut Suksompong
Pages 2141-2148 |
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Learning Optimal Strategies to Commit To
Binghui Peng, Weiran Shen, Pingzhong Tang, Song Zuo
Pages 2149-2156 |
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Variance Reduction in Monte Carlo Counterfactual Regret Minimization (VR-MCCFR) for Extensive Form Games Using Baselines
Martin Schmid, Neil Burch, Marc Lanctot, Matej Moravcik, Rudolf Kadlec, Michael Bowling
Pages 2157-2164 |
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Mechanism Design for Multi-Type Housing Markets with Acceptable Bundles
Sujoy Sikdar, Sibel Adalı Lirong Xia
Pages 2165-2172 |
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Learning Deviation Payoffs in Simulation-Based Games
Samuel Sokota, Caleb Ho, Bryce Wiedenbeck
Pages 2173-2180 |
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A Framework for Approval-Based Budgeting Methods
Nimrod Talmon, Piotr Faliszewski
Pages 2181-2188 |
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Practical Algorithms for Multi-Stage Voting Rules with Parallel Universes Tiebreaking
Jun Wang, Sujoy Sikdar, Tyler Shepherd, Zhibing Zhao, Chunheng Jiang, Lirong Xia
Pages 2189-2196 |
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Random Walk Decay Centrality
Tomasz Wąs, Talal Rahwan, Oskar Skibski
Pages 2197-2204 |
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Poll-Confident Voters in Iterative Voting
Anaëlle Wilczynski
Pages 2205-2212 |
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Defending Elections against Malicious Spread of Misinformation
Bryan Wilder, Yevgeniy Vorobeychik
Pages 2213-2220 |
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A Unified Approach to Online Matching with Conflict-Aware Constraints
Pan Xu, Yexuan Shi, Hao Cheng, John Dickerson, Karthik Abinav Sankararaman, Aravind Srinivasan, Yongxin Tong, Leonidas Tsepenekas
Pages 2221-2228 |
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A Better Algorithm for Societal Tradeoffs
Hanrui Zhang, Yu Cheng, Vincent Conitzer
Pages 2229-2236 |
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A PAC Framework for Aggregating Agents’ Judgments
Hanrui Zhang, Vincent Conitzer
Pages 2237-2244 |
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Preference-Aware Task Assignment in On-Demand Taxi Dispatching: An Online Stable Matching Approach
Boming Zhao, Pan Xu, Yexuan Shi, Yongxin Tong, Zimu Zhou, Yuxiang Zeng
Pages 2245-2252 |
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Distributionally Adversarial Attack
Tianhang Zheng, Changyou Chen, Kui Ren
Pages 2253-2260 |
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AAAI Technical Track: Heuristic Search and Optimization
A Two-Individual Based Evolutionary Algorithm for the Flexible Job Shop Scheduling Problem
Junwen Ding, Zhipeng Lü, Chu-Min Li, Liji Shen, Liping Xu, Fred Glover
Pages 2262-2271 |
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Greedy Maximization of Functions with Bounded Curvature under Partition Matroid Constraints
Tobias Friedrich, Andreas Göbel, Frank Neumann, Francesco Quinzan, Ralf Rothenberger
Pages 2272-2279 |
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Heuristic Search Algorithm for Dimensionality Reduction Optimally Combining Feature Selection and Feature Extraction
Baokun He, Swair Shah, Crystal Maung, Gordon Arnold, Guihong Wan, Haim Schweitzer
Pages 2280-2287 |
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On the Optimal Efficiency of Cost-Algebraic A*
Robert C. Holte, Sandra Zilles
Pages 2288-2295 |
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Running Time Analysis of MOEA/D with Crossover on Discrete Optimization Problem
Zhengxin Huang, Yuren Zhou, Zefeng Chen, Xiaoyu He
Pages 2296-2303 |
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Bézier Simplex Fitting: Describing Pareto Fronts of Simplicial Problems with Small Samples in Multi-Objective Optimization
Ken Kobayashi, Naoki Hamada, Akiyoshi Sannai, Akinori Tanaka, Kenichi Bannai, Masashi Sugiyama
Pages 2304-2313 |
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Fine-Grained Search Space Classification for Hard Enumeration Variants of Subset Problems
Juho Lauri, Sourav Dutta
Pages 2314-2321 |
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On the Time Complexity of Algorithm Selection Hyper-Heuristics for Multimodal Optimisation
Andrei Lissovoi, Pietro S. Oliveto, John Alasdair Warwicker
Pages 2322-2329 |
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Evolving Action Abstractions for Real-Time Planning in Extensive-Form Games
Julian R. H. Mariño, Rubens O. Moraes, Claudio Toledo, Levi H. S. Lelis
Pages 2330-2337 |
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Real-Time Planning as Decision-Making under Uncertainty
Andrew Mitchell, Wheeler Ruml, Fabian Spaniol, Jorg Hoffmann, Marek Petrik
Pages 2338-2345 |
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Evolving Solutions to Community-Structured Satisfiability Formulas
Frank Neumann, Andrew M. Sutton
Pages 2346-2353 |
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Pareto Optimization for Subset Selection with Dynamic Cost Constraints
Vahid Roostapour, Aneta Neumann, Frank Neumann, Tobias Friedrich
Pages 2354-2361 |
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Stepping Stones to Inductive Synthesis of Low-Level Looping Programs
Christopher D. Rosin
Pages 2362-2370 |
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Allocating Planning Effort When Actions Expire
Shahaf S. Shperberg, Andrew Coles, Bence Cserna, Erez Karpas, Wheeler Ruml, Solomon E. Shimony
Pages 2371-2378 |
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Enriching Non-Parametric Bidirectional Search Algorithms
Shahaf S. Shperberg, Ariel Felner, Nathan R. Sturtevant, Solomon E. Shimony, Avi Hayoun
Pages 2379-2386 |
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Bounded Suboptimal Search with Learned Heuristics for Multi-Agent Systems
Markus Spies, Marco Todescato, Hannes Becker, Patrick Kesper, Nicolai Waniek, Meng Guo
Pages 2387-2394 |
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An Improved Generic Bet-and-Run Strategy with Performance Prediction for Stochastic Local Search
Thomas Weise, Zijun Wu, Markus Wagner
Pages 2395-2402 |
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Fuzzy-Classification Assisted Solution Preselection in Evolutionary Optimization
Aimin Zhou, Jinyuan Zhang, Jianyong Sun, Guixu Zhang
Pages 2403-2410 |
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AAAI Technical Track: Human-AI Collaboration
One-Network Adversarial Fairness
Tameem Adel, Isabel Valera, Zoubin Ghahramani, Adrian Weller
Pages 2412-2420 |
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Making Money from What You Know - How to Sell Information?
Shani Alkoby, Zihe Wang, David Sarne, Pingzhong Tang
Pages 2421-2428 |
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Updates in Human-AI Teams: Understanding and Addressing the Performance/Compatibility Tradeoff
Gagan Bansal, Besmira Nushi, Ece Kamar, Daniel S. Weld, Walter S. Lasecki, Eric Horvitz
Pages 2429-2437 |
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Human-in-the-Loop Feature Selection
Alvaro H. C. Correia, Freddy Lecue
Pages 2438-2445 |
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Verifying Robustness of Gradient Boosted Models
Gil Einziger, Maayan Goldstein, Yaniv Sa’ar, Itai Segall
Pages 2446-2453 |
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Counterfactual Randomization: Rescuing Experimental Studies from Obscured Confounding
Andrew Forney, Elias Bareinboim
Pages 2454-2461 |
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Efficiently Combining Human Demonstrations and Interventions for Safe Training of Autonomous Systems in Real-Time
Vinicius G. Goecks, Gregory M. Gremillion, Vernon J. Lawhern, John Valasek, Nicholas R. Waytowich
Pages 2462-2470 |
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Task Transfer by Preference-Based Cost Learning
Mingxuan Jing, Xiaojian Ma, Wenbing Huang, Fuchun Sun, Huaping Liu
Pages 2471-2478 |
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A Unified Framework for Planning in Adversarial and Cooperative Environments
Anagha Kulkarni, Siddharth Srivastava, Subbarao Kambhampati
Pages 2479-2487 |
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RGBD Based Gaze Estimation via Multi-Task CNN
Dongze Lian, Ziheng Zhang, Weixin Luo, Lina Hu, Minye Wu, Zechao Li, Jingyi Yu, Shenghua Gao
Pages 2488-2495 |
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Deep Neural Networks Constrained by Decision Rules
Yuzuru Okajima, Kunihiko Sadamasa
Pages 2496-2505 |
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Geometry-Aware Face Completion and Editing
Linsen Song, Jie Cao, Lingxiao Song, Yibo Hu, Ran He
Pages 2506-2513 |
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Generation of Policy-Level Explanations for Reinforcement Learning
Nicholay Topin, Manuela Veloso
Pages 2514-2521 |
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Learning Models of Sequential Decision-Making with Partial Specification of Agent Behavior
Vaibhav V. Unhelkar, Julie A. Shah
Pages 2522-2530 |
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Augmenting Markov Decision Processes with Advising
Loïs Vanhée, Laurent Jeanpierre, Abdel-Illah Mouaddib
Pages 2531-2538 |
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FLEX: Faithful Linguistic Explanations for Neural Net Based Model Decisions
Sandareka Wickramanayake, Wynne Hsu, Mong Li Lee
Pages 2539-2546 |
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Interactive Semantic Parsing for If-Then Recipes via Hierarchical Reinforcement Learning
Ziyu Yao, Xiujun Li, Jianfeng Gao, Brian Sadler, Huan Sun
Pages 2547-2554 |
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AAAI Technical Track: Humans and AI
Deep Transformation Method for Discriminant Analysis of Multi-Channel Resting State fMRI
Abhay M S Aradhya, Aditya Joglekar, Sundaram Suresh, M. Pratama
Pages 2556-2563 |
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AI-Sketcher : A Deep Generative Model for Producing High-Quality Sketches
Nan Cao, Xin Yan, Yang Shi, Chaoran Chen
Pages 2564-2571 |
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Election with Bribed Voter Uncertainty: Hardness and Approximation Algorithm
Lin Chen, Lei Xu, Shouhuai Xu, Zhimin Gao, Weidong Shi
Pages 2572-2579 |
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Human Motion Prediction via Learning Local Structure Representations and Temporal Dependencies
Xiao Guo, Jongmoo Choi
Pages 2580-2587 |
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Lipper: Synthesizing Thy Speech Using Multi-View Lipreading
Yaman Kumar, Rohit Jain, Khwaja Mohd. Salik, Rajiv Ratn Shah, Yifang Yin, Roger Zimmermann
Pages 2588-2595 |
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Goal-Oriented Dialogue Policy Learning from Failures
Keting Lu, Shiqi Zhang, Xiaoping Chen
Pages 2596-2603 |
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Be Inaccurate but Don’t Be Indecisive: How Error Distribution Can Affect User Experience
Rafael R. Padovani, Lucas N. Ferreira, Levi H. S. Lelis
Pages 2604-2611 |
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Consensual Affine Transformations for Partial Valuation Aggregation
Hermann Schichl, Meinolf Sellmann
Pages 2612-2619 |
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CycleEmotionGAN: Emotional Semantic Consistency Preserved CycleGAN for Adapting Image Emotions
Sicheng Zhao, Chuang Lin, Pengfei Xu, Sendong Zhao, Yuchen Guo, Ravi Krishna, Guiguang Ding, Kurt Keutzer
Pages 2620-2627 |
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AAAI Technical Track: Human-Computation and Crowd Sourcing
Preference-Aware Task Assignment in Spatial Crowdsourcing
Yan Zhao, Jinfu Xia, Guanfeng Liu, Han Su, Defu Lian, Shuo Shang, Kai Zheng
Pages 2629-2636 |
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AAAI Technical Track: Knowledge Representation and Reasoning
Satisfiability in Strategy Logic Can Be Easier than Model Checking
Erman Acar, Massimo Benerecetti, Fabio Mogavero
Pages 2638-2645 |
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Unbounded Orchestrations of Transducers for Manufacturing
Natasha Alechina, Tomáš Brázdil, Giuseppe De Giacomo, Paolo Felli, Brian Logan, Moshe Y. Vardi
Pages 2646-2653 |
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Relaxing and Restraining Queries for OBDA
Medina Andreşel, Yazmín Ibáñez-García, Magdalena Ortiz, Mantas šimkus
Pages 2654-2661 |
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Certifying the True Error: Machine Learning in Coq with Verified Generalization Guarantees
Alexander Bagnall, Gordon Stewart
Pages 2662-2669 |
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Extension Removal in Abstract Argumentation – An Axiomatic Approach
Ringo Baumann, Gerhard Brewka
Pages 2670-2677 |
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Abstracting Causal Models
Sander Beckers, Joseph Y. Halpern
Pages 2678-2685 |
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Weighted Abstract Dialectical Frameworks through the Lens of Approximation Fixpoint Theory
Bart Bogaerts
Pages 2686-2693 |
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Enhancing Lazy Grounding with Lazy Normalization in Answer-Set Programming
Jori Bomanson, Tomi Janhunen, Antonius Weinzierl
Pages 2694-2702 |
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Learning Features and Abstract Actions for Computing Generalized Plans
Blai Bonet, Guillem Francès, Hector Geffner
Pages 2703-2710 |
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Ontology-Mediated Query Answering over Log-Linear Probabilistic Data
Stefan Borgwardt, İsmail İlkan Ceylan, Thomas Lukasiewicz
Pages 2711-2718 |
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Querying Attributed DL-Lite Ontologies Using Provenance Semirings
Camille Bourgaux, Ana Ozaki
Pages 2719-2726 |
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Model-Based Diagnosis for Cyber-Physical Production Systems Based on Machine Learning and Residual-Based Diagnosis Models
Andreas Bunte, Benno Stein, Oliver Niggemann
Pages 2727-2735 |
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From Horn-SRIQ to Datalog: A Data-Independent Transformation That Preserves Assertion Entailment
David Carral, Larry González, Patrick Koopmann
Pages 2736-2743 |
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Identification of Causal Effects in the Presence of Selection Bias
Juan D. Correa, Jin Tian, Elias Bareinboim
Pages 2744-2751 |
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Argumentation for Explainable Scheduling
Kristijonas čyras, Dimitrios Letsios, Ruth Misener, Francesca Toni
Pages 2752-2759 |
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Approximate Stream Reasoning with Metric Temporal Logic under Uncertainty
Daniel de Leng, Fredrik Heintz
Pages 2760-2767 |
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ABox Abduction via Forgetting in ALC
Warren Del-Pinto, Renate A. Schmidt
Pages 2768-2775 |
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Qualitative Spatial Logic over 2D Euclidean Spaces Is Not Finitely Axiomatisable
Heshan Du, Natasha Alechina
Pages 2776-2783 |
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Validation of Growing Knowledge Graphs by Abductive Text Evidences
Jianfeng Du, Jeff Z. Pan, Sylvia Wang, Kunxun Qi, Yuming Shen, Yu Deng
Pages 2784-2791 |
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On Structured Argumentation with Conditional Preferences
Phan Minh Dung, Phan Minh Thang, Tran Cao Son
Pages 2792-2800 |
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Complexity of Abstract Argumentation under a Claim-Centric View
Wolfgang Dvořák, Stefan Woltran
Pages 2801-2808 |
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Strong Equivalence for Epistemic Logic Programs Made Easy
Wolfgang Faber, Michael Morak, Stefan Woltran
Pages 2809-2816 |
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Disjunctive Normal Form for Multi-Agent Modal Logics Based on Logical Separability
Liangda Fang, Kewen Wang, Zhe Wang, Ximing Wen
Pages 2817-2826 |
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Counting Complexity for Reasoning in Abstract Argumentation
Johannes K. Fichte, Markus Hecher, Arne Meier
Pages 2827-2834 |
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A Sequential Set Generation Method for Predicting Set-Valued Outputs
Tian Gao, Jie Chen, Vijil Chenthamarakshan, Michael Witbrock
Pages 2835-2842 |
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Forgetting in Modular Answer Set Programming
Ricardo Gonçalves, Tomi Janhunen, Matthias Knorr, João Leite, Stefan Woltran
Pages 2843-2850 |
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Partial Awareness
Joseph Y. Halpern, Evan Piermont
Pages 2851-2858 |
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Modular Materialisation of Datalog Programs
Pan Hu, Boris Motik, Ian Horrocks
Pages 2859-2866 |
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Bi-Kronecker Functional Decision Diagrams: A Novel Canonical Representation of Boolean Functions
Xuanxiang Huang, Kehang Fang, Liangda Fang, Qingliang Chen, Zhao-Rong Lai, Linfeng Wei
Pages 2867-2875 |
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Minimum Intervention Cover of a Causal Graph
Saravanan Kandasamy, Arnab Bhattacharyya, Vasant G. Honavar
Pages 2876-2885 |
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Knowledge Refinement via Rule Selection
Phokion G. Kolaitis, Lucian Popa, Kun Qian
Pages 2886-2894 |
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LENA: Locality-Expanded Neural Embedding for Knowledge Base Completion
Fanshuang Kong, Richong Zhang, Yongyi Mao, Ting Deng
Pages 2895-2902 |
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Ontology-Based Query Answering for Probabilistic Temporal Data
Patrick Koopmann
Pages 2903-2910 |
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Combining Deep Learning and Qualitative Spatial Reasoning to Learn Complex Structures from Sparse Examples with Noise
Nikhil Krishnaswamy, Scott Friedman, James Pustejovsky
Pages 2911-2918 |
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Representing and Learning Grammars in Answer Set Programming
Mark Law, Alessandra Russo, Elisa Bertino, Krysia Broda, Jorge Lobo
Pages 2919-2928 |
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Multi-Context System for Optimization Problems
Tiep Le, Tran Cao Son, Enrico Pontelli
Pages 2929-2937 |
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Reasoning over Assumption-Based Argumentation Frameworks via Direct Answer Set Programming Encodings
Tuomo Lehtonen, Johannes P. Wallner, Matti Järvisalo
Pages 2938-2945 |
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SAT-Based Explicit LTLf Satisfiability Checking
Jianwen Li, Kristin Y. Rozier, Geguang Pu, Yueling Zhang, Moshe Y. Vardi
Pages 2946-2953 |
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Implanting Rational Knowledge into Distributed Representation at Morpheme Level
Zi Lin, Yang Liu
Pages 2954-2961 |
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Complexity of Inconsistency-Tolerant Query Answering in Datalog+/– under Cardinality-Based Repairs
Thomas Lukasiewicz, Enrico Malizia, Andrius Vaicenavičius
Pages 2962-2969 |
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SDRL: Interpretable and Data-Efficient Deep Reinforcement Learning Leveraging Symbolic Planning
Daoming Lyu, Fangkai Yang, Bo Liu, Steven Gustafson
Pages 2970-2977 |
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Less but Better: Generalization Enhancement of Ordinal Embedding via Distributional Margin
Ke Ma, Qianqian Xu, Zhiyong Yang, Xiaochun Cao
Pages 2978-2985 |
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Group Decision Diagram (GDD): A Compact Representation for Permutations
Takanori Maehara, Yuma Inoue
Pages 2986-2994 |
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On Limited Conjunctions and Partial Features in Parameter-Tractable Feature Logics
Stephanie McIntyre, Alexander Borgida, David Toman, Grant Weddell
Pages 2995-3002 |
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Declarative Question Answering over Knowledge Bases Containing Natural Language Text with Answer Set Programming
Arindam Mitra, Peter Clark, Oyvind Tafjord, Chitta Baral
Pages 3003-3010 |
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Blameworthiness in Strategic Games
Pavel Naumov, Jia Tao
Pages 3011-3018 |
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Belief Change and Non-Monotonic Reasoning Sans Compactness
Jandson S. Ribeiro, Abhaya Nayak, Renata Wassermann
Pages 3019-3026 |
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ATOMIC: An Atlas of Machine Commonsense for If-Then Reasoning
Maarten Sap, Ronan Le Bras, Emily Allaway, Chandra Bhagavatula, Nicholas Lourie, Hannah Rashkin, Brendan Roof, Noah A. Smith, Yejin Choi
Pages 3027-3035 |
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Efficient Concept Induction for Description Logics
Md Kamruzzaman Sarker, Pascal Hitzler
Pages 3036-3043 |
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An Open-World Extension to Knowledge Graph Completion Models
Haseeb Shah, Johannes Villmow, Adrian Ulges, Ulrich Schwanecke, Faisal Shafait
Pages 3044-3051 |
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Induction of Non-Monotonic Logic Programs to Explain Boosted Tree Models Using LIME
Farhad Shakerin, Gopal Gupta
Pages 3052-3059 |
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End-to-End Structure-Aware Convolutional Networks for Knowledge Base Completion
Chao Shang, Yun Tang, Jing Huang, Jinbo Bi, Xiaodong He, Bowen Zhou
Pages 3060-3067 |
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Amalgamating Knowledge towards Comprehensive Classification
Chengchao Shen, Xinchao Wang, Jie Song, Li Sun, Mingli Song
Pages 3068-3075 |
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Iterated Belief Base Revision: A Dynamic Epistemic Logic Approach
Marlo Souza, álvaro Moreira, Renata Vieira
Pages 3076-3083 |
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Safe Partial Diagnosis from Normal Observations
Roni Stern, Brendan Juba
Pages 3084-3091 |
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Reasoning over Streaming Data in Metric Temporal Datalog
Przemysław Andrzej Wałęga, Mark Kaminski, Bernardo Cuenca Grau
Pages 3092-3099 |
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TransGate: Knowledge Graph Embedding with Shared Gate Structure
Jun Yuan, Neng Gao, Ji Xiang
Pages 3100-3107 |
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Recursively Learning Causal Structures Using Regression-Based Conditional Independence Test
Hao Zhang, Shuigeng Zhou, Chuanxu Yan, Jihong Guan, Xin Wang
Pages 3108-3115 |
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Tracking Logical Difference in Large-Scale Ontologies: A Forgetting-Based Approach
Yizheng Zhao, Ghadah Alghamdi, Renate A. Schmidt, Hao Feng, Giorgos Stoilos, Damir Juric, Mohammad Khodadadi
Pages 3116-3124 |
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On Completing Sparse Knowledge Base with Transitive Relation Embedding
Zili Zhou, Shaowu Liu, Guandong Xu, Wu Zhang
Pages 3125-3132 |
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AAAI Technical Track: Machine Learning
State Abstraction as Compression in Apprenticeship Learning
David Abel, Dilip Arumugam, Kavosh Asadi, Yuu Jinnai, Michael L. Littman, Lawson L.S. Wong
Pages 3134-3142 |
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An Exponential Tail Bound for the Deleted Estimate
Karim Abou–Moustafa, Csaba Szepesvári
Pages 3143-3150 |
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Model Learning for Look-Ahead Exploration in Continuous Control
Arpit Agarwal, Katharina Muelling, Katerina Fragkiadaki
Pages 3151-3158 |
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Character-Level Language Modeling with Deeper Self-Attention
Rami Al-Rfou, Dokook Choe, Noah Constant, Mandy Guo, Llion Jones
Pages 3159-3166 |
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Attacking Data Transforming Learners at Training Time
Scott Alfeld, Ara Vartanian, Lucas Newman-Johnson, Benjamin I.P. Rubinstein
Pages 3167-3174 |
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Hyperprior Induced Unsupervised Disentanglement of Latent Representations
Abdul Fatir Ansari, Harold Soh
Pages 3175-3182 |
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Adversarial Label Learning
Chidubem Arachie, Bert Huang
Pages 3183-3190 |
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Robust Negative Sampling for Network Embedding
Mohammadreza Armandpour, Patrick Ding, Jianhua Huang, Xia Hu
Pages 3191-3198 |
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Random Feature Maps for the Itemset Kernel
Kyohei Atarashi, Subhransu Maji, Satoshi Oyama
Pages 3199-3206 |
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High Dimensional Clustering with r-nets
Georgia Avarikioti, Alain Ryser, Yuyi Wang, Roger Wattenhofer
Pages 3207-3214 |
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Mode Variational LSTM Robust to Unseen Modes of Variation: Application to Facial Expression Recognition
Wissam J. Baddar, Yong Man Ro
Pages 3215-3223 |
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Enhanced Random Forest Algorithms for Partially Monotone Ordinal Classification
Christopher Bartley, Wei Liu, Mark Reynolds
Pages 3224-3231 |
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Online Learning from Data Streams with Varying Feature Spaces
Ege Beyazit, Jeevithan Alagurajah, Xindong Wu
Pages 3232-3239 |
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CNN-Cert: An Efficient Framework for Certifying Robustness of Convolutional Neural Networks
Akhilan Boopathy, Tsui-Wei Weng, Pin-Yu Chen, Sijia Liu, Luca Daniel
Pages 3240-3247 |
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Deep Convolutional Sum-Product Networks
Cory J. Butz, Jhonatan S. Oliveira, André E. dos Santos, André L. Teixeira
Pages 3248-3255 |
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FRAME Revisited: An Interpretation View Based on Particle Evolution
Xu Cai, Yang Wu, Guanbin Li, Ziliang Chen, Liang Lin
Pages 3256-3263 |
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Dynamic Learning of Sequential Choice Bandit Problem under Marketing Fatigue
Junyu Cao, Wei Sun
Pages 3264-3271 |
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Adversarial Learning of Semantic Relevance in Text to Image Synthesis
Miriam Cha, Youngjune L. Gwon, H. T. Kung
Pages 3272-3279 |
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Towards Non-Saturating Recurrent Units for Modelling Long-Term Dependencies
Sarath Chandar, Chinnadhurai Sankar, Eugene Vorontsov, Samira Ebrahimi Kahou, Yoshua Bengio
Pages 3280-3287 |
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Disjoint Label Space Transfer Learning with Common Factorised Space
Xiaobin Chang, Yongxin Yang, Tao Xiang, Timothy M. Hospedales
Pages 3288-3295 |
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Joint Domain Alignment and Discriminative Feature Learning for Unsupervised Deep Domain Adaptation
Chao Chen, Zhihong Chen, Boyuan Jiang, Xinyu Jin
Pages 3296-3303 |
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Two-Stage Label Embedding via Neural Factorization Machine for Multi-Label Classification
Chen Chen, Haobo Wang, Weiwei Liu, Xingyuan Zhao, Tianlei Hu, Gang Chen
Pages 3304-3311 |
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Large-Scale Interactive Recommendation with Tree-Structured Policy Gradient
Haokun Chen, Xinyi Dai, Han Cai, Weinan Zhang, Xuejian Wang, Ruiming Tang, Yuzhou Zhang, Yong Yu
Pages 3312-3320 |
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Distributionally Robust Semi-Supervised Learning for People-Centric Sensing
Kaixuan Chen, Lina Yao, Dalin Zhang, Xiaojun Chang, Guodong Long, Sen Wang
Pages 3321-3328 |
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Deep Neural Network Quantization via Layer-Wise Optimization Using Limited Training Data
Shangyu Chen, Wenya Wang, Sinno Jialin Pan
Pages 3329-3336 |
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EA-CG: An Approximate Second-Order Method for Training Fully-Connected Neural Networks
Sheng-Wei Chen, Chun-Nan Chou, Edward Y. Chang
Pages 3337-3346 |
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Data-Adaptive Metric Learning with Scale Alignment
Shuo Chen, Chen Gong, Jian Yang, Ying Tai, Le Hui, Jun Li
Pages 3347-3354 |
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A Layer Decomposition-Recomposition Framework for Neuron Pruning towards Accurate Lightweight Networks
Weijie Chen, Yuan Zhang, Di Xie, Shiliang Pu
Pages 3355-3362 |
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Embedding Uncertain Knowledge Graphs
Xuelu Chen, Muhao Chen, Weijia Shi, Yizhou Sun, Carlo Zaniolo
Pages 3363-3370 |
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Tensor Decomposition for Multilayer Networks Clustering
Zitai Chen, Chuan Chen, Zibin Zheng, Yi Zhu
Pages 3371-3378 |
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Image Block Augmentation for One-Shot Learning
Zitian Chen, Yanwei Fu, Kaiyu Chen, Yu-Gang Jiang
Pages 3379-3386 |
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End-to-End Safe Reinforcement Learning through Barrier Functions for Safety-Critical Continuous Control Tasks
Richard Cheng, Gábor Orosz, Richard M. Murray, Joel W. Burdick
Pages 3387-3395 |
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Utilizing Class Information for Deep Network Representation Shaping
Daeyoung Choi, Wonjong Rhee
Pages 3396-3403 |
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Diverse Exploration via Conjugate Policies for Policy Gradient Methods
Andrew Cohen, Xingye Qiao, Lei Yu, Elliot Way, Xiangrong Tong
Pages 3404-3411 |
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Spatially Invariant Unsupervised Object Detection with Convolutional Neural Networks
Eric Crawford, Joelle Pineau
Pages 3412-3420 |
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Efficient Online Learning for Mapping Kernels on Linguistic Structures
Giovanni Da San Martino, Alessandro Sperduti, Fabio Aiolli, Alessandro Moschitti
Pages 3421-3428 |
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Learning Segmentation Masks with the Independence Prior
Songmin Dai, Xiaoqiang Li, Lu Wang, Pin Wu, Weiqin Tong, Yimin Chen
Pages 3429-3436 |
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Inverse Abstraction of Neural Networks Using Symbolic Interpolation
Sumanth Dathathri, Sicun Gao, Richard M. Murray
Pages 3437-3444 |
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Balanced Linear Contextual Bandits
Maria Dimakopoulou, Zhengyuan Zhou, Susan Athey, Guido Imbens
Pages 3445-3453 |
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Linear Kernel Tests via Empirical Likelihood for High-Dimensional Data
Lizhong Ding, Zhi Liu, Yu Li, Shizhong Liao, Yong Liu, Peng Yang, Ge Yu, Ling Shao, Xin Gao
Pages 3454-3461 |
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Approximate Kernel Selection with Strong Approximate Consistency
Lizhong Ding, Yong Liu, Shizhong Liao, Yu Li, Peng Yang, Yijie Pan, Chao Huang, Ling Shao, Xin Gao
Pages 3462-3469 |
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On-Line Adaptative Curriculum Learning for GANs
Thang Doan, João Monteiro, Isabela Albuquerque, Bogdan Mazoure, Audrey Durand, Joelle Pineau, R. Devon Hjelm
Pages 3470-3477 |
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Multistream Classification with Relative Density Ratio Estimation
Bo Dong, Yang Gao, Swarup Chandra, Latifur Khan
Pages 3478-3485 |
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Single-Label Multi-Class Image Classification by Deep Logistic Regression
Qi Dong, Xiatian Zhu, Shaogang Gong
Pages 3486-3493 |
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How to Combine Tree-Search Methods in Reinforcement Learning
Yonathan Efroni, Gal Dalal, Bruno Scherrer, Shie Mannor
Pages 3494-3501 |
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Human-Like Delicate Region Erasing Strategy for Weakly Supervised Detection
Qing En, Lijuan Duan, Zhaoxiang Zhang, Xiang Bai, Yundong Zhang
Pages 3502-3509 |
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Controllable Image-to-Video Translation: A Case Study on Facial Expression Generation
Lijie Fan, Wenbing Huang, Chuang Gan, Junzhou Huang, Boqing Gong
Pages 3510-3517 |
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Partial Multi-Label Learning via Credible Label Elicitation
Jun-Peng Fang, Min-Ling Zhang
Pages 3518-3525 |
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Improved Knowledge Graph Embedding Using Background Taxonomic Information
Bahare Fatemi, Siamak Ravanbakhsh, David Poole
Pages 3526-3533 |
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Unsupervised Feature Selection by Pareto Optimization
Chao Feng, Chao Qian, Ke Tang
Pages 3534-3541 |
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Partial Label Learning with Self-Guided Retraining
Lei Feng, Bo An
Pages 3542-3549 |
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Collaboration Based Multi-Label Learning
Lei Feng, Bo An, Shuo He
Pages 3550-3557 |
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Hypergraph Neural Networks
Yifan Feng, Haoxuan You, Zizhao Zhang, Rongrong Ji, Yue Gao
Pages 3558-3565 |
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Transductive Bounds for the Multi-Class Majority Vote Classifier
Vasilii Feofanov, Emilie Devijver, Massih-Reza Amini
Pages 3566-3573 |
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The Goldilocks Zone: Towards Better Understanding of Neural Network Loss Landscapes
Stanislav Fort, Adam Scherlis
Pages 3574-3581 |
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Combined Reinforcement Learning via Abstract Representations
Vincent Francois-Lavet, Yoshua Bengio, Doina Precup, Joelle Pineau
Pages 3582-3589 |
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Efficient Data Point Pruning for One-Class SVM
Yasuhiro Fujiwara, Sekitoshi Kanai, Junya Arai, Yasutoshi Ida, Naonori Ueda
Pages 3590-3597 |
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Fully Convolutional Network with Multi-Step Reinforcement Learning for Image Processing
Ryosuke Furuta, Naoto Inoue, Toshihiko Yamasaki
Pages 3598-3605 |
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Bayesian Posterior Approximation via Greedy Particle Optimization
Futoshi Futami, Zhenghang Cui, Issei Sato, Masashi Sugiyama
Pages 3606-3613 |
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Towards Reliable Learning for High Stakes Applications
Jinyang Gao, Junjie Yao, Yingxia Shao
Pages 3614-3621 |
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Explainable Recommendation through Attentive Multi-View Learning
Jingyue Gao, Xiting Wang, Yasha Wang, Xing Xie
Pages 3622-3629 |
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Wasserstein Soft Label Propagation on Hypergraphs: Algorithm and Generalization Error Bounds
Tingran Gao, Shahab Asoodeh, Yi Huang, James Evans
Pages 3630-3637 |
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Incomplete Label Multi-Task Deep Learning for Spatio-Temporal Event Subtype Forecasting
Yuyang Gao, Liang Zhao, Lingfei Wu, Yanfang Ye, Hui Xiong, Chaowei Yang
Pages 3638-3646 |
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Off-Policy Deep Reinforcement Learning by Bootstrapping the Covariate Shift
Carles Gelada, Marc G. Bellemare
Pages 3647-3655 |
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Spatiotemporal Multi-Graph Convolution Network for Ride-Hailing Demand Forecasting
Xu Geng, Yaguang Li, Leye Wang, Lingyu Zhang, Qiang Yang, Jieping Ye, Yan Liu
Pages 3656-3663 |
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Counting and Sampling from Markov Equivalent DAGs Using Clique Trees
AmirEmad Ghassami, Saber Salehkaleybar, Negar Kiyavash, Kun Zhang
Pages 3664-3671 |
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Eliminating Latent Discrimination: Train Then Mask
Soheil Ghili, Ehsan Kazemi, Amin Karbasi
Pages 3672-3680 |
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Interpretation of Neural Networks Is Fragile
Amirata Ghorbani, Abubakar Abid, James Zou
Pages 3681-3688 |
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Using Benson’s Algorithm for Regularization Parameter Tracking
Joachim Giesen, Sören Laue, Andreas Löhne, Christopher Schneider
Pages 3689-3696 |
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Scalable and Efficient Pairwise Learning to Achieve Statistical Accuracy
Bin Gu, Zhouyuan Huo, Heng Huang
Pages 3697-3704 |
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AFS: An Attention-Based Mechanism for Supervised Feature Selection
Ning Gui, Danni Ge, Ziyin Hu
Pages 3705-3713 |
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MixUp as Locally Linear Out-of-Manifold Regularization
Hongyu Guo, Yongyi Mao, Richong Zhang
Pages 3714-3722 |
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Non-Autoregressive Neural Machine Translation with Enhanced Decoder Input
Junliang Guo, Xu Tan, Di He, Tao Qin, Linli Xu, Tie-Yan Liu
Pages 3723-3730 |
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Smooth Deep Image Generator from Noises
Tianyu Guo, Chang Xu, Boxin Shi, Chao Xu, Dacheng Tao
Pages 3731-3738 |
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Hybrid Reinforcement Learning with Expert State Sequences
Xiaoxiao Guo, Shiyu Chang, Mo Yu, Gerald Tesauro, Murray Campbell
Pages 3739-3746 |
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Distributional Semantics Meets Multi-Label Learning
Vivek Gupta, Rahul Wadbude, Nagarajan Natarajan, Harish Karnick, Prateek Jain, Piyush Rai
Pages 3747-3754 |
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Temporal Anomaly Detection: Calibrating the Surprise
Eyal Gutflaish, Aryeh Kontorovich, Sivan Sabato, Ofer Biller, Oded Sofer
Pages 3755-3762 |
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Efficient and Scalable Multi-Task Regression on Massive Number of Tasks
Xiao He, Francesco Alesiani, Ammar Shaker
Pages 3763-3770 |
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Knowledge Distillation with Adversarial Samples Supporting Decision Boundary
Byeongho Heo, Minsik Lee, Sangdoo Yun, Jin Young Choi
Pages 3771-3778 |
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Knowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons
Byeongho Heo, Minsik Lee, Sangdoo Yun, Jin Young Choi
Pages 3779-3787 |
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The SpectACl of Nonconvex Clustering: A Spectral Approach to Density-Based Clustering
Sibylle Hess, Wouter Duivesteijn, Philipp Honysz, Katharina Morik
Pages 3788-3795 |
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Multi-Task Deep Reinforcement Learning with PopArt
Matteo Hessel, Hubert Soyer, Lasse Espeholt, Wojciech Czarnecki, Simon Schmitt, Hado van Hasselt
Pages 3796-3803 |
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Interaction-Aware Factorization Machines for Recommender Systems
Fuxing Hong, Dongbo Huang, Ge Chen
Pages 3804-3811 |
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Learning Anytime Predictions in Neural Networks via Adaptive Loss Balancing
Hanzhang Hu, Debadeepta Dey, Martial Hebert, J. Andrew Bagnell
Pages 3812-3821 |
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Learning to Adaptively Scale Recurrent Neural Networks
Hao Hu, Liqiang Wang, Guo-Jun Qi
Pages 3822-3829 |
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HERS: Modeling Influential Contexts with Heterogeneous Relations for Sparse and Cold-Start Recommendation
Liang Hu, Songlei Jian, Longbing Cao, Zhiping Gu, Qingkui Chen, Artak Amirbekyan
Pages 3830-3837 |
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One-Pass Incomplete Multi-View Clustering
Menglei Hu, Songcan Chen
Pages 3838-3845 |
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Multi-Fidelity Automatic Hyper-Parameter Tuning via Transfer Series Expansion
Yi-Qi Hu, Yang Yu, Wei-Wei Tu, Qiang Yang, Yuqiang Chen, Wenyuan Dai
Pages 3846-3853 |
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Efficient Quantization for Neural Networks with Binary Weights and Low Bitwidth Activations
Kun Huang, Bingbing Ni, Xiaokang Yang
Pages 3854-3861 |
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Efficient Identification of Approximate Best Configuration of Training in Large Datasets
Silu Huang, Chi Wang, Bolin Ding, Surajit Chaudhuri
Pages 3862-3869 |
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Bootstrap Estimated Uncertainty of the Environment Model for Model-Based Reinforcement Learning
Wenzhen Huang, Junge Zhang, Kaiqi Huang
Pages 3870-3877 |
PDF
Large-Scale Heterogeneous Feature Embedding
Xiao Huang, Qingquan Song, Fan Yang, Xia Hu
Pages 3878-3885 |
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Manifold-Valued Image Generation with Wasserstein Generative Adversarial Nets
Zhiwu Huang, Jiqing Wu, Luc Van Gool
Pages 3886-3893 |
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Inter-Class Angular Loss for Convolutional Neural Networks
Le Hui, Xiang Li, Chen Gong, Meng Fang, Joey Tianyi Zhou, Jian Yang
Pages 3894-3901 |
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Tensorial Change Analysis Using Probabilistic Tensor Regression
Tsuyoshi Idé
Pages 3902-3909 |
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Complex Moment-Based Supervised Eigenmap for Dimensionality Reduction
Akira Imakura, Momo Matsuda, Xiucai Ye, Tetsuya Sakurai
Pages 3910-3918 |
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Estimating the Causal Effect from Partially Observed Time Series
Akane Iseki, Yusuke Mukuta, Yoshitaka Ushiku, Tatsuya Harada
Pages 3919-3926 |
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TAPAS: Train-Less Accuracy Predictor for Architecture Search
R. Istrate, F. Scheidegger, G. Mariani, D. Nikolopoulos, C. Bekas, A. C. I. Malossi
Pages 3927-3934 |
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Neural Collective Graphical Models for Estimating Spatio-Temporal Population Flow from Aggregated Data
Tomoharu Iwata, Hitoshi Shimizu
Pages 3935-3942 |
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Meta-Descent for Online, Continual Prediction
Andrew Jacobsen, Matthew Schlegel, Cameron Linke, Thomas Degris, Adam White, Martha White
Pages 3943-3950 |
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Model-Free IRL Using Maximum Likelihood Estimation
Vinamra Jain, Prashant Doshi, Bikramjit Banerjee
Pages 3951-3958 |
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Classification with Costly Features Using Deep Reinforcement Learning
Jaromír Janisch, Tomáš Pevný, Viliam Lisý
Pages 3959-3966 |
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Tile2Vec: Unsupervised Representation Learning for Spatially Distributed Data
Neal Jean, Sherrie Wang, Anshul Samar, George Azzari, David Lobell, Stefano Ermon
Pages 3967-3974 |
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Multi-Dimensional Classification via kNN Feature Augmentation
Bin-Bin Jia, Min-Ling Zhang
Pages 3975-3982 |
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Joint Semi-Supervised Feature Selection and Classification through Bayesian Approach
Bingbing Jiang, Xingyu Wu, Kui Yu, Huanhuan Chen
Pages 3983-3990 |
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Fast Incremental SVDD Learning Algorithm with the Gaussian Kernel
Hansi Jiang, Haoyu Wang, Wenhao Hu, Deovrat Kakde, Arin Chaudhuri
Pages 3991-3998 |
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Non-Asymptotic Uniform Rates of Consistency for k-NN Regression
Heinrich Jiang
Pages 3999-4006 |
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Gaussian-Induced Convolution for Graphs
Jiatao Jiang, Zhen Cui, Chunyan Xu, Jian Yang
Pages 4007-4014 |
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SCFont: Structure-Guided Chinese Font Generation via Deep Stacked Networks
Yue Jiang, Zhouhui Lian, Yingmin Tang, Jianguo Xiao
Pages 4015-4022 |
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Estimating the Days to Success of Campaigns in Crowdfunding: A Deep Survival Perspective
Binbin Jin, Hongke Zhao, Enhong Chen, Qi Liu, Yong Ge
Pages 4023-4030 |
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DoPAMINE: Double-Sided Masked CNN for Pixel Adaptive Multiplicative Noise Despeckling
Sunghwan Joo, Sungmin Cha, Taesup Moon
Pages 4031-4038 |
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Precision-Recall versus Accuracy and the Role of Large Data Sets
Brendan Juba, Hai S. Le
Pages 4039-4048 |
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Dimension-Free Error Bounds from Random Projections
Ata Kabán
Pages 4049-4056 |
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Similarity Learning via Kernel Preserving Embedding
Zhao Kang, Yiwei Lu, Yuanzhang Su, Changsheng Li, Zenglin Xu
Pages 4057-4064 |
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Guided Dropout
Rohit Keshari, Richa Singh, Mayank Vatsa
Pages 4065-4072 |
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Mixture of Expert/Imitator Networks: Scalable Semi-Supervised Learning Framework
Shun Kiyono, Jun Suzuki, Kentaro Inui
Pages 4073-4081 |
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Exploiting Class Learnability in Noisy Data
Matthew Klawonn, Eric Heim, James Hendler
Pages 4082-4089 |
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Active Generative Adversarial Network for Image Classification
Quan Kong, Bin Tong, Martin Klinkigt, Yuki Watanabe, Naoto Akira, Tomokazu Murakami
Pages 4090-4097 |
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On-Line Learning of Linear Dynamical Systems: Exponential Forgetting in Kalman Filters
Mark Kozdoba, Jakub Marecek, Tigran Tchrakian, Shie Mannor
Pages 4098-4105 |
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Unsupervised Domain Adaptation by Matching Distributions Based on the Maximum Mean Discrepancy via Unilateral Transformations
Atsutoshi Kumagai, Tomoharu Iwata
Pages 4106-4113 |
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Multi-Source Neural Variational Inference
Richard Kurle, Stephan Günnemann, Patrick van der Smagt
Pages 4114-4121 |
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Unsupervised Domain Adaptation Based on Source-Guided Discrepancy
Seiichi Kuroki, Nontawat Charoenphakdee, Han Bao, Junya Honda, Issei Sato, Masashi Sugiyama
Pages 4122-4129 |
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TransConv: Relationship Embedding in Social Networks
Yi-Yu Lai, Jennifer Neville, Dan Goldwasser
Pages 4130-4138 |
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Accurate and Interpretable Factorization Machines
Liang Lan, Yu Geng
Pages 4139-4146 |
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Gradient-Based Inference for Networks with Output Constraints
Jay Yoon Lee, Sanket Vaibhav Mehta, Michael Wick, Jean-Baptiste Tristan, Jaime Carbonell
Pages 4147-4154 |
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Understanding Learned Models by Identifying Important Features at the Right Resolution
Kyubin Lee, Akshay Sood, Mark Craven
Pages 4155-4163 |
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Structural Causal Bandits with Non-Manipulable Variables
Sanghack Lee, Elias Bareinboim
Pages 4164-4172 |
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Communication-Efficient Stochastic Gradient MCMC for Neural Networks
Chunyuan Li, Changyou Chen, Yunchen Pu, Ricardo Henao, Lawrence Carin
Pages 4173-4180 |
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Lifted Proximal Operator Machines
Jia Li, Cong Fang, Zhouchen Lin
Pages 4181-4188 |
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From Zero-Shot Learning to Cold-Start Recommendation
Jingjing Li, Mengmeng Jing, Ke Lu, Lei Zhu, Yang Yang, Zi Huang
Pages 4189-4196 |
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X-DMM: Fast and Scalable Model Based Text Clustering
Linwei Li, Liangchen Guo, Zhenying He, Yinan Jing, X. Sean Wang
Pages 4197-4204 |
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Sign-Full Random Projections
Ping Li
Pages 4205-4212 |
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Robust Multi-Agent Reinforcement Learning via Minimax Deep Deterministic Policy Gradient
Shihui Li, Yi Wu, Xinyue Cui, Honghua Dong, Fei Fang, Stuart Russell
Pages 4213-4220 |
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Spectral Clustering in Heterogeneous Information Networks
Xiang Li, Ben Kao, Zhaochun Ren, Dawei Yin
Pages 4221-4228 |
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Learning Adaptive Random Features
Yanjun Li, Kai Zhang, Jun Wang, Sanjiv Kumar
Pages 4229-4236 |
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Towards Automated Semi-Supervised Learning
Yu-Feng Li, Hai Wang, Tong Wei, Wei-Wei Tu
Pages 4237-4244 |
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Learning Disentangled Representation with Pairwise Independence
Zejian Li, Yongchuan Tang, Wei Li, Yongxing He
Pages 4245-4252 |
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Exploiting Coarse-to-Fine Task Transfer for Aspect-Level Sentiment Classification
Zheng Li, Ying Wei, Yu Zhang, Xiang Zhang, Xin Li
Pages 4253-4260 |
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SepNE: Bringing Separability to Network Embedding
Ziyao Li, Liang Zhang, Guojie Song
Pages 4261-4268 |
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Collaborative, Dynamic and Diversified User Profiling
Shangsong Liang
Pages 4269-4276 |
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Learning Logistic Circuits
Yitao Liang, Guy Van den Broeck
Pages 4277-4286 |
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CircConv: A Structured Convolution with Low Complexity
Siyu Liao, Bo Yuan
Pages 4287-4294 |
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Evolutionary Manytasking Optimization Based on Symbiosis in Biocoenosis
Rung-Tzuo Liaw, Chuan-Kang Ting
Pages 4295-4303 |
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Non-Compensatory Psychological Models for Recommender Systems
Chen Lin, Xiaolin Shen, Si Chen, Muhua Zhu, Yanghua Xiao
Pages 4304-4311 |
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Which Factorization Machine Modeling Is Better: A Theoretical Answer with Optimal Guarantee
Ming Lin, Shuang Qiu, Jieping Ye, Xiaomin Song, Qi Qian, Liang Sun, Shenghuo Zhu, Rong Jin
Pages 4312-4319 |
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MFPCA: Multiscale Functional Principal Component Analysis
Zhenhua Lin, Hongtu Zhu
Pages 4320-4327 |
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Learning Plackett-Luce Mixtures from Partial Preferences
Ao Liu, Zhibing Zhao, Chao Liao, Pinyan Lu, Lirong Xia
Pages 4328-4335 |
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Near-Neighbor Methods in Random Preference Completion
Ao Liu, Qiong Wu, Zhenming Liu, Lirong Xia
Pages 4336-4343 |
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Scale Invariant Fully Convolutional Network: Detecting Hands Efficiently
Dan Liu, Dawei Du, Libo Zhang, Tiejian Luo, Yanjun Wu, Feiyue Huang, Siwei Lyu
Pages 4344-4351 |
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Trust Region Evolution Strategies
Guoqing Liu, Li Zhao, Feidiao Yang, Jiang Bian, Tao Qin, Nenghai Yu, Tie-Yan Liu
Pages 4352-4359 |
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Learning Multi-Task Communication with Message Passing for Sequence Learning
Pengfei Liu, Jie Fu, Yue Dong, Xipeng Qiu, Jackie Chi Kit Cheung
Pages 4360-4367 |
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A Theoretically Guaranteed Deep Optimization Framework for Robust Compressive Sensing MRI
Risheng Liu, Yuxi Zhang, Shichao Cheng, Xin Fan, Zhongxuan Luo
Pages 4368-4375 |
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A Bandit Approach to Maximum Inner Product Search
Rui Liu, Tianyi Wu, Barzan Mozafari
Pages 4376-4383 |
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The Utility of Sparse Representations for Control in Reinforcement Learning
Vincent Liu, Raksha Kumaraswamy, Lei Le, Martha White
Pages 4384-4391 |
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Efficient and Effective Incomplete Multi-View Clustering
Xinwang Liu, Xinzhong Zhu, Miaomiao Li, Chang Tang, En Zhu, Jianping Yin, Wen Gao
Pages 4392-4399 |
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Ranking-Based Deep Cross-Modal Hashing
Xuanwu Liu, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Yazhou Ren, Maozu Guo
Pages 4400-4407 |
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Adaptive Sparse Confidence-Weighted Learning for Online Feature Selection
Yanbin Liu, Yan Yan, Ling Chen, Yahong Han, Yi Yang
Pages 4408-4415 |
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Active Sampling for Open-Set Classification without Initial Annotation
Zhao-Yang Liu, Sheng-Jun Huang
Pages 4416-4423 |
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GeniePath: Graph Neural Networks with Adaptive Receptive Paths
Ziqi Liu, Chaochao Chen, Longfei Li, Jun Zhou, Xiaolong Li, Le Song, Yuan Qi
Pages 4424-4431 |
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Guiding the One-to-One Mapping in CycleGAN via Optimal Transport
Guansong Lu, Zhiming Zhou, Yuxuan Song, Kan Ren, Yong Yu
Pages 4432-4439 |
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Super Sparse Convolutional Neural Networks
Yao Lu, Guangming Lu, Bob Zhang, Yuanrong Xu, Jinxing Li
Pages 4440-4447 |
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Block Belief Propagation for Parameter Learning in Markov Random Fields
You Lu, Zhiyuan Liu, Bert Huang
Pages 4448-4455 |
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Relation Structure-Aware Heterogeneous Information Network Embedding
Yuanfu Lu, Chuan Shi, Linmei Hu, Zhiyuan Liu
Pages 4456-4463 |
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Scaling-Up Split-Merge MCMC with Locality Sensitive Sampling (LSS)
Chen Luo, Anshumali Shrivastava
Pages 4464-4471 |
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Orthogonality-Promoting Dictionary Learning via Bayesian Inference
Lei Luo, Jie Xu, Cheng Deng, Heng Huang
Pages 4472-4479 |
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Robust Metric Learning on Grassmann Manifolds with Generalization Guarantees
Lei Luo, Jie Xu, Cheng Deng, Heng Huang
Pages 4480-4487 |
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Bias-Variance Trade-Off in Hierarchical Probabilistic Models Using Higher-Order Feature Interactions
Simon Luo, Mahito Sugiyama
Pages 4488-4495 |
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Distributed PageRank Computation: An Improved Theoretical Study
Siqiang Luo
Pages 4496-4503 |
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A Comparative Analysis of Expected and Distributional Reinforcement Learning
Clare Lyle, Marc G. Bellemare, Pablo Samuel Castro
Pages 4504-4511 |
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State-Augmentation Transformations for Risk-Sensitive Reinforcement Learning
Shuai Ma, Jia Yuan Yu
Pages 4512-4519 |
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LabelForest: Non-Parametric Semi-Supervised Learning for Activity Recognition
Yuchao Ma, Hassan Ghasemzadeh
Pages 4520-4527 |
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Complex Unitary Recurrent Neural Networks Using Scaled Cayley Transform
Kehelwala D. G. Maduranga, Kyle E. Helfrich, Qiang Ye
Pages 4528-4535 |
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The Curse of Concentration in Robust Learning: Evasion and Poisoning Attacks from Concentration of Measure
Saeed Mahloujifar, Dimitrios I. Diochnos, Mohammad Mahmoody
Pages 4536-4543 |
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A Distillation Approach to Data Efficient Individual Treatment Effect Estimation
Maggie Makar, Adith Swaminathan, Emre Kıcıman
Pages 4544-4551 |
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DyS: A Framework for Mixture Models in Quantification
André Maletzke, Denis dos Reis, Everton Cherman, Gustavo Batista
Pages 4552-4560 |
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Towards Better Interpretability in Deep Q-Networks
Raghuram Mandyam Annasamy, Katia Sycara
Pages 4561-4569 |
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Cost-Sensitive Learning to Rank
Ryan McBride, Ke Wang, Zhouyang Ren, Wenyuan Li
Pages 4570-4577 |
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A Two-Stream Mutual Attention Network for Semi-Supervised Biomedical Segmentation with Noisy Labels
Shaobo Min, Xuejin Chen, Zheng-Jun Zha, Feng Wu, Yongdong Zhang
Pages 4578-4585 |
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A Probabilistic Derivation of LASSO and L12-Norm Feature Selections
Di Ming, Chris Ding, Feiping Nie
Pages 4586-4593 |
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Cogra: Concept-Drift-Aware Stochastic Gradient Descent for Time-Series Forecasting
Kohei Miyaguchi, Hiroshi Kajino
Pages 4594-4601 |
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Weisfeiler and Leman Go Neural: Higher-Order Graph Neural Networks
Christopher Morris, Martin Ritzert, Matthias Fey, William L. Hamilton, Jan Eric Lenssen, Gaurav Rattan, Martin Grohe
Pages 4602-4609 |
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ClusterGAN: Latent Space Clustering in Generative Adversarial Networks
Sudipto Mukherjee, Himanshu Asnani, Eugene Lin, Sreeram Kannan
Pages 4610-4617 |
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Subspace Selection via DR-Submodular Maximization on Lattices
So Nakashima, Takanori Maehara
Pages 4618-4625 |
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Number Sequence Prediction Problems for Evaluating Computational Powers of Neural Networks
Hyoungwook Nam, Segwang Kim, Kyomin Jung
Pages 4626-4633 |
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Efficient Counterfactual Learning from Bandit Feedback
Yusuke Narita, Shota Yasui, Kohei Yata
Pages 4634-4641 |
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Multigrid Backprojection Super–Resolution and Deep Filter Visualization
Pablo Navarrete Michelini, Hanwen Liu, Dan Zhu
Pages 4642-4650 |
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Biologically Motivated Algorithms for Propagating Local Target Representations
Alexander G. Ororbia, Ankur Mali
Pages 4651-4658 |
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Determinantal Reinforcement Learning
Takayuki Osogami, Rudy Raymond
Pages 4659-4666 |
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Non-Parametric Transformation Networks for Learning General Invariances from Data
Dipan K. Pal, Marios Savvides
Pages 4667-4674 |
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Policy Optimization with Model-Based Explorations
Feiyang Pan, Qingpeng Cai, An-Xiang Zeng, Chun-Xiang Pan, Qing Da, Hualin He, Qing He, Pingzhong Tang
Pages 4675-4682 |
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Compressing Recurrent Neural Networks with Tensor Ring for Action Recognition
Yu Pan, Jing Xu, Maolin Wang, Jinmian Ye, Fei Wang, Kun Bai, Zenglin Xu
Pages 4683-4690 |
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On Reinforcement Learning for Full-Length Game of StarCraft
Zhen-Jia Pang, Ruo-Ze Liu, Zhou-Yu Meng, Yi Zhang, Yang Yu, Tong Lu
Pages 4691-4698 |
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Adversarial Dropout for Recurrent Neural Networks
Sungrae Park, Kyungwoo Song, Mingi Ji, Wonsung Lee, Il-Chul Moon
Pages 4699-4706 |
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Trainable Undersampling for Class-Imbalance Learning
Minlong Peng, Qi Zhang, Xiaoyu Xing, Tao Gui, Xuanjing Huang, Yu-Gang Jiang, Keyu Ding, Zhigang Chen
Pages 4707-4714 |
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Exploiting Synthetically Generated Data with Semi-Supervised Learning for Small and Imbalanced Datasets
M. Peréz-Ortiz, P. Tiňo, R. Mantiuk, C. Hervás-Martínez
Pages 4715-4722 |
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Interpretable Preference Learning: A Game Theoretic Framework for Large Margin On-Line Feature and Rule Learning
Mirko Polato, Fabio Aiolli
Pages 4723-4730 |
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Learning to Solve NP-Complete Problems: A Graph Neural Network for Decision TSP
Marcelo Prates, Pedro H. C. Avelar, Henrique Lemos, Luis C. Lamb, Moshe Y. Vardi
Pages 4731-4738 |
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Robust Optimization over Multiple Domains
Qi Qian, Shenghuo Zhu, Jiasheng Tang, Rong Jin, Baigui Sun, Hao Li
Pages 4739-4746 |
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Composite Binary Decomposition Networks
You Qiaoben, Zheng Wang, Jianguo Li, Yinpeng Dong, Yu-Gang Jiang, Jun Zhu
Pages 4747-4754 |
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Nearest-Neighbour-Induced Isolation Similarity and Its Impact on Density-Based Clustering
Xiaoyu Qin, Kai Ming Ting, Ye Zhu, Vincent CS Lee
Pages 4755-4762 |
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Training Complex Models with Multi-Task Weak Supervision
Alexander Ratner, Braden Hancock, Jared Dunnmon, Frederic Sala, Shreyash Pandey, Christopher Ré
Pages 4763-4771 |
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Explicitly Imposing Constraints in Deep Networks via Conditional Gradients Gives Improved Generalization and Faster Convergence
Sathya N. Ravi, Tuan Dinh, Vishnu Suresh Lokhande, Vikas Singh
Pages 4772-4779 |
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Regularized Evolution for Image Classifier Architecture Search
Esteban Real, Alok Aggarwal, Yanping Huang, Quoc V. Le
Pages 4780-4789 |
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On Fair Cost Sharing Games in Machine Learning
Ievgen Redko, Charlotte Laclau
Pages 4790-4797 |
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Deep Recurrent Survival Analysis
Kan Ren, Jiarui Qin, Lei Zheng, Zhengyu Yang, Weinan Zhang, Lin Qiu, Yong Yu
Pages 4798-4805 |
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RepeatNet: A Repeat Aware Neural Recommendation Machine for Session-Based Recommendation
Pengjie Ren, Zhumin Chen, Jing Li, Zhaochun Ren, Jun Ma, Maarten de Rijke
Pages 4806-4813 |
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Devil in the Details: Towards Accurate Single and Multiple Human Parsing
Tao Ruan, Ting Liu, Zilong Huang, Yunchao Wei, Shikui Wei, Yao Zhao
Pages 4814-4821 |
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Latent Multi-Task Architecture Learning
Sebastian Ruder, Joachim Bingel, Isabelle Augenstein, Anders Søgaard
Pages 4822-4829 |
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How Many Pairwise Preferences Do We Need to Rank a Graph Consistently?
Aadirupa Saha, Rakesh Shivanna, Chiranjib Bhattacharyya
Pages 4830-4837 |
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Covariate Shift Adaptation on Learning from Positive and Unlabeled Data
Tomoya Sakai, Nobuyuki Shimizu
Pages 4838-4845 |
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Granger-Causal Attentive Mixtures of Experts: Learning Important Features with Neural Networks
Patrick Schwab, Djordje Miladinovic, Walter Karlen
Pages 4846-4853 |
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Congestion Graphs for Automated Time Predictions
Arik Senderovich, J. Christopher Beck, Avigdor Gal, Matthias Weidlich
Pages 4854-4861 |
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Unsupervised Learning with Contrastive Latent Variable Models
Kristen A. Severson, Soumya Ghosh, Kenney Ng
Pages 4862-4869 |
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Sparse Reject Option Classifier Using Successive Linear Programming
Kulin Shah, Naresh Manwani
Pages 4870-4877 |
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Geometric Hawkes Processes with Graph Convolutional Recurrent Neural Networks
Jin Shang, Mingxuan Sun
Pages 4878-4885 |
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MEAL: Multi-Model Ensemble via Adversarial Learning
Zhiqiang Shen, Zhankui He, Xiangyang Xue
Pages 4886-4893 |
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Multi-View Anomaly Detection: Neighborhood in Locality Matters
Xiang-Rong Sheng, De-Chuan Zhan, Su Lu, Yuan Jiang
Pages 4894-4901 |
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Virtual-Taobao: Virtualizing Real-World Online Retail Environment for Reinforcement Learning
Jing-Cheng Shi, Yang Yu, Qing Da, Shi-Yong Chen, An-Xiang Zeng
Pages 4902-4909 |
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Automatic Code Review by Learning the Revision of Source Code
Shu-Ting Shi, Ming Li, David Lo, Ferdian Thung, Xuan Huo
Pages 4910-4917 |
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Sublinear Time Numerical Linear Algebra for Structured Matrices
Xiaofei Shi, David P. Woodruff
Pages 4918-4925 |
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Label Embedding with Partial Heterogeneous Contexts
Yaxin Shi, Donna Xu, Yuangang Pan, Ivor W. Tsang, Shirui Pan
Pages 4926-4933 |
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Evaluating Recommender System Stability with Influence-Guided Fuzzing
David Shriver, Sebastian Elbaum, Matthew B. Dwyer, David S. Rosenblum
Pages 4934-4942 |
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Sensitivity Analysis of Deep Neural Networks
Hai Shu, Hongtu Zhu
Pages 4943-4950 |
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Transferable Curriculum for Weakly-Supervised Domain Adaptation
Yang Shu, Zhangjie Cao, Mingsheng Long, Jianmin Wang
Pages 4951-4958 |
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Unsupervised Transfer Learning for Spoken Language Understanding in Intelligent Agents
Aditya Siddhant, Anuj Goyal, Angeliki Metallinou
Pages 4959-4966 |
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Safe Policy Improvement with Baseline Bootstrapping in Factored Environments
Thiago D. Simão, Matthijs T. J. Spaan
Pages 4967-4974 |
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Composable Modular Reinforcement Learning
Christopher Simpkins, Charles Isbell
Pages 4975-4982 |
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Hierarchical Context Enabled Recurrent Neural Network for Recommendation
Kyungwoo Song, Mingi Ji, Sungrae Park, Il-Chul Moon
Pages 4983-4991 |
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Diversity-Driven Extensible Hierarchical Reinforcement Learning
Yuhang Song, Jianyi Wang, Thomas Lukasiewicz, Zhenghua Xu, Mai Xu
Pages 4992-4999 |
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On the Persistence of Clustering Solutions and True Number of Clusters in a Dataset
Amber Srivastava, Mayank Baranwal, Srinivasa Salapaka
Pages 5000-5007 |
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Soft Facial Landmark Detection by Label Distribution Learning
Kai Su, Xin Geng
Pages 5008-5015 |
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Partial Multi-Label Learning by Low-Rank and Sparse Decomposition
Lijuan Sun, Songhe Feng, Tao Wang, Congyan Lang, Yi Jin
Pages 5016-5023 |
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Multi-Precision Quantized Neural Networks via Encoding Decomposition of {-1,+1}
Qigong Sun, Fanhua Shang, Kang Yang, Xiufang Li, Yan Ren, Licheng Jiao
Pages 5024-5032 |
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Non-Ergodic Convergence Analysis of Heavy-Ball Algorithms
Tao Sun, Penghang Yin, Dongsheng Li, Chun Huang, Lei Guan, Hao Jiang
Pages 5033-5040 |
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Network Structure and Transfer Behaviors Embedding via Deep Prediction Model
Xin Sun, Zenghui Song, Junyu Dong, Yongbo Yu, Claudia Plant, Christian Böhm
Pages 5041-5048 |
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Learning Vine Copula Models for Synthetic Data Generation
Yi Sun, Alfredo Cuesta-Infante, Kalyan Veeramachaneni
Pages 5049-5057 |
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Matrix Completion for Graph-Based Deep Semi-Supervised Learning
Fariborz Taherkhani, Hadi Kazemi, Nasser M. Nasrabadi
Pages 5058-5065 |
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Variational Autoencoder with Implicit Optimal Priors
Hiroshi Takahashi, Tomoharu Iwata, Yuki Yamanaka, Masanori Yamada, Satoshi Yagi
Pages 5066-5073 |
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Character n-Gram Embeddings to Improve RNN Language Models
Sho Takase, Jun Suzuki, Masaaki Nagata
Pages 5074-5082 |
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Coreset Stochastic Variance-Reduced Gradient with Application to Optimal Margin Distribution Machine
Zhi-Hao Tan, Teng Zhang, Wei Wang
Pages 5083-5090 |
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Refining Coarse-Grained Spatial Data Using Auxiliary Spatial Data Sets with Various Granularities
Yusuke Tanaka, Tomoharu Iwata, Toshiyuki Tanaka, Takeshi Kurashima, Maya Okawa, Hiroyuki Toda
Pages 5091-5099 |
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Cross-View Local Structure Preserved Diversity and Consensus Learning for Multi-View Unsupervised Feature Selection
Chang Tang, Xinzhong Zhu, Xinwang Liu, Lizhe Wang
Pages 5101-5108 |
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An Integral Tag Recommendation Model for Textual Content
Shijie Tang, Yuan Yao, Suwei Zhang, Feng Xu, Tianxiao Gu, Hanghang Tong, Xiaohui Yan, Jian Lu
Pages 5109-5116 |
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Self-Paced Active Learning: Query the Right Thing at the Right Time
Ying-Peng Tang, Sheng-Jun Huang
Pages 5117-5124 |
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A Radical-Aware Attention-Based Model for Chinese Text Classification
Hanqing Tao, Shiwei Tong, Hongke Zhao, Tong Xu, Binbin Jin, Qi Liu
Pages 5125-5132 |
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Optimization of Hierarchical Regression Model with Application to Optimizing Multi-Response Regression K-ary Trees
Pooya Tavallali, Peyman Tavallali, Mukesh Singhal
Pages 5133-5142 |
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Holographic Factorization Machines for Recommendation
Yi Tay, Shuai Zhang, Anh Tuan Luu, Siu Cheung Hui, Lina Yao, Tran Dang Quang Vinh
Pages 5143-5150 |
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Clipped Matrix Completion: A Remedy for Ceiling Effects
Takeshi Teshima, Miao Xu, Issei Sato, Masashi Sugiyama
Pages 5151-5158 |
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A Non–Convex Optimization Approach to Correlation Clustering
Erik Thiel, Morteza Haghir Chehreghani, Devdatt Dubhashi
Pages 5159-5166 |
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Learning Competitive and Discriminative Reconstructions for Anomaly Detection
Kai Tian, Shuigeng Zhou, Jianping Fan, Jihong Guan
Pages 5167-5174 |
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Natural Option Critic
Saket Tiwari, Philip S. Thomas
Pages 5175-5182 |
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Learning Triggers for Heterogeneous Treatment Effects
Christopher Tran, Elena Zheleva
Pages 5183-5190 |
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Improving GAN with Neighbors Embedding and Gradient Matching
Ngoc-Trung Tran, Tuan-Anh Bui, Ngai-Man Cheung
Pages 5191-5198 |
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Predicting Urban Dispersal Events: A Two-Stage Framework through Deep Survival Analysis on Mobility Data
Amin Vahedian, Xun Zhou, Ling Tong, W. Nick Street, Yanhua Li
Pages 5199-5206 |
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Automatic Bayesian Density Analysis
Antonio Vergari, Alejandro Molina, Robert Peharz, Zoubin Ghahramani, Kristian Kersting, Isabel Valera
Pages 5207-5215 |
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Robust Anomaly Detection in Videos Using Multilevel Representations
Hung Vu, Tu Dinh Nguyen, Trung Le, Wei Luo, Dinh Phung
Pages 5216-5223 |
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CAMO: A Collaborative Ranking Method for Content Based Recommendation
Chengwei Wang, Tengfei Zhou, Chen Chen, Tianlei Hu, Gang Chen
Pages 5224-5231 |
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Video Inpainting by Jointly Learning Temporal Structure and Spatial Details
Chuan Wang, Haibin Huang, Xiaoguang Han, Jue Wang
Pages 5232-5239 |
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Bounding Uncertainty for Active Batch Selection
Hanmo Wang, Runwu Zhou, Yi-Dong Shen
Pages 5240-5247 |
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Adversarial Binary Collaborative Filtering for Implicit Feedback
Haoyu Wang, Nan Shao, Defu Lian
Pages 5248-5255 |
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Theoretical Analysis of Label Distribution Learning
Jing Wang, Xin Geng
Pages 5256-5263 |
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Orderly Subspace Clustering
Jing Wang, Atsushi Suzuki, Linchuan Xu, Feng Tian, Liang Yang, Kenji Yamanishi
Pages 5264-5272 |
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SVM-Based Deep Stacking Networks
Jingyuan Wang, Kai Feng, Junjie Wu
Pages 5273-5280 |
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An Efficient Approach to Informative Feature Extraction from Multimodal Data
Lichen Wang, Jiaxiang Wu, Shao-Lun Huang, Lizhong Zheng, Xiangxiang Xu, Lin Zhang, Junzhou Huang
Pages 5281-5288 |
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Scalable Distributed DL Training: Batching Communication and Computation
Shaoqi Wang, Aidi Pi, Xiaobo Zhou
Pages 5289-5296 |
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HyperAdam: A Learnable Task-Adaptive Adam for Network Training
Shipeng Wang, Jian Sun, Zongben Xu
Pages 5297-5304 |
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A Sharper Generalization Bound for Divide-and-Conquer Ridge Regression
Shusen Wang
Pages 5305-5312 |
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Robustness Can Be Cheap: A Highly Efficient Approach to Discover Outliers under High Outlier Ratios
Siqi Wang, En Zhu, Xiping Hu, Xinwang Liu, Qiang Liu, Jianping Yin, Fei Wang
Pages 5313-5320 |
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SCNN: A General Distribution Based Statistical Convolutional Neural Network with Application to Video Object Detection
Tianchen Wang, Jinjun Xiong, Xiaowei Xu, Yiyu Shi
Pages 5321-5328 |
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Explainable Reasoning over Knowledge Graphs for Recommendation
Xiang Wang, Dingxian Wang, Canran Xu, Xiangnan He, Yixin Cao, Tat-Seng Chua
Pages 5329-5336 |
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Hyperbolic Heterogeneous Information Network Embedding
Xiao Wang, Yiding Zhang, Chuan Shi
Pages 5337-5344 |
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Transferable Attention for Domain Adaptation
Ximei Wang, Liang Li, Weirui Ye, Mingsheng Long, Jianmin Wang
Pages 5345-5352 |
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Multiple Independent Subspace Clusterings
Xing Wang, Jun Wang, Carlotta Domeniconi, Guoxian Yu, Guoqiang Xiao, Maozu Guo
Pages 5353-5360 |
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Deep Metric Learning by Online Soft Mining and Class-Aware Attention
Xinshao Wang, Yang Hua, Elyor Kodirov, Guosheng Hu, Neil M. Robertson
Pages 5361-5368 |
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Universal Approximation Property and Equivalence of Stochastic Computing-Based Neural Networks and Binary Neural Networks
Yanzhi Wang, Zheng Zhan, Liang Zhao, Jian Tang, Siyue Wang, Jiayu Li, Bo Yuan, Wujie Wen, Xue Lin
Pages 5369-5376 |
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Non-Autoregressive Machine Translation with Auxiliary Regularization
Yiren Wang, Fei Tian, Di He, Tao Qin, ChengXiang Zhai, Tie-Yan Liu
Pages 5377-5384 |
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Learning Compact Model for Large-Scale Multi-Label Data
Tong Wei, Yu-Feng Li
Pages 5385-5392 |
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Unified Embedding Alignment with Missing Views Inferring for Incomplete Multi-View Clustering
Jie Wen, Zheng Zhang, Yong Xu, Bob Zhang, Lunke Fei, Hong Liu
Pages 5393-5400 |
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Exploiting Local Feature Patterns for Unsupervised Domain Adaptation
Jun Wen, Risheng Liu, Nenggan Zheng, Qian Zheng, Zhefeng Gong, Junsong Yuan
Pages 5401-5408 |
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RobustSTL: A Robust Seasonal-Trend Decomposition Algorithm for Long Time Series
Qingsong Wen, Jingkun Gao, Xiaomin Song, Liang Sun, Huan Xu, Shenghuo Zhu
Pages 5409-5416 |
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Efficient Gaussian Process Classification Using Pólya-Gamma Data Augmentation
Florian Wenzel, Théo Galy-Fajou, Christan Donner, Marius Kloft, Manfred Opper
Pages 5417-5424 |
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How Does Knowledge of the AUC Constrain the Set of Possible Ground-Truth Labelings?
Jacob Whitehill
Pages 5425-5432 |
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Uncovering Specific-Shape Graph Anomalies in Attributed Graphs
Nannan Wu, Wenjun Wang, Feng Chen, Jianxin Li, Bo Li, Jinpeng Huai
Pages 5433-5440 |
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Point Cloud Processing via Recurrent Set Encoding
Pengxiang Wu, Chao Chen, Jingru Yi, Dimitris Metaxas
Pages 5441-5449 |
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Improving Domain-Specific Classification by Collaborative Learning with Adaptation Networks
Si Wu, Jian Zhong, Wenming Cao, Rui Li, Zhiwen Yu, Hau-San Wong
Pages 5450-5457 |
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Modelling of Bi-Directional Spatio-Temporal Dependence and Users’ Dynamic Preferences for Missing POI Check-In Identification
Dongbo Xi, Fuzhen Zhuang, Yanchi Liu, Jingjing Gu, Hui Xiong, Qing He
Pages 5458-5465 |
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Tied Transformers: Neural Machine Translation with Shared Encoder and Decoder
Yingce Xia, Tianyu He, Xu Tan, Fei Tian, Di He, Tao Qin
Pages 5466-5473 |
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Bayesian Deep Collaborative Matrix Factorization
Teng Xiao, Shangsong Liang, Weizhou Shen, Zaiqiao Meng
Pages 5474-5481 |
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RS3CIS: Robust Single-Step Spectral Clustering with Intrinsic Subspace
Yun Xiao, Pengzhen Ren, Zhihui Li, Xiaojiang Chen, Xin Wang, Dingyi Fang
Pages 5482-5489 |
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Understanding Persuasion Cascades in Online Product Rating Systems
Hong Xie, Yongkun Li, John C.S. Lui
Pages 5490-5497 |
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Learning Dynamic Generator Model by Alternating Back-Propagation through Time
Jianwen Xie, Ruiqi Gao, Zilong Zheng, Song-Chun Zhu, Ying Nian Wu
Pages 5498-5507 |
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Multi-View Multi-Instance Multi-Label Learning Based on Collaborative Matrix Factorization
Yuying Xing, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Zili Zhang, Maozu Guo
Pages 5508-5515 |
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SpHMC: Spectral Hamiltonian Monte Carlo
Haoyi Xiong, Kafeng Wang, Jiang Bian, Zhanxing Zhu, Cheng-Zhong Xu, Zhishan Guo, Jun Huan
Pages 5516-5524 |
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Modeling Local Dependence in Natural Language with Multi-Channel Recurrent Neural Networks
Chang Xu, Weiran Huang, Hongwei Wang, Gang Wang, Tie-Yan Liu
Pages 5525-5532 |
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Hierarchical Classification Based on Label Distribution Learning
Changdong Xu, Xin Geng
Pages 5533-5540 |
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Embedding-Based Complex Feature Value Coupling Learning for Detecting Outliers in Non-IID Categorical Data
Hongzuo Xu, Yongjun Wang, Zhiyue Wu, Yijie Wang
Pages 5541-5548 |
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Dueling Bandits with Qualitative Feedback
Liyuan Xu, Junya Honda, Masashi Sugiyama
Pages 5549-5556 |
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Partial Label Learning via Label Enhancement
Ning Xu, Jiaqi Lv, Xin Geng
Pages 5557-5564 |
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Data-Distortion Guided Self-Distillation for Deep Neural Networks
Ting-Bing Xu, Cheng-Lin Liu
Pages 5565-5572 |
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Task-Driven Common Representation Learning via Bridge Neural Network
Yao Xu, Xueshuang Xiang, Meiyu Huang
Pages 5573-5580 |
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Self-Ensembling Attention Networks: Addressing Domain Shift for Semantic Segmentation
Yonghao Xu, Bo Du, Lefei Zhang, Qian Zhang, Guoli Wang, Liangpei Zhang
Pages 5581-5588 |
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Active Learning of Multi-Class Classification Models from Ordered Class Sets
Yanbing Xue, Milos Hauskrecht
Pages 5589-5596 |
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Frame and Feature-Context Video Super-Resolution
Bo Yan, Chuming Lin, Weimin Tan
Pages 5597-5604 |
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Oversampling for Imbalanced Data via Optimal Transport
Yuguang Yan, Mingkui Tan, Yanwu Xu, Jiezhang Cao, Michael Ng, Huaqing Min, Qingyao Wu
Pages 5605-5612 |
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Cross-Domain Visual Representations via Unsupervised Graph Alignment
Baoyao Yang, Pong C. Yuen
Pages 5613-5620 |
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Weighted Oblique Decision Trees
Bin-Bin Yang, Song-Qing Shen, Wei Gao
Pages 5621-5627 |
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Training Deep Neural Networks in Generations: A More Tolerant Teacher Educates Better Students
Chenglin Yang, Lingxi Xie, Siyuan Qiao, Alan L. Yuille
Pages 5628-5635 |
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Confidence Weighted Multitask Learning
Peng Yang, Peilin Zhao, Jiayu Zhou, Xin Gao
Pages 5636-5643 |
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Unsupervised Fake News Detection on Social Media: A Generative Approach
Shuo Yang, Kai Shu, Suhang Wang, Renjie Gu, Fan Wu, Huan Liu
Pages 5644-5651 |
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Deep Robust Unsupervised Multi-Modal Network
Yang Yang, Yi-Feng Wu, De-Chuan Zhan, Zhi-Bin Liu, Yuan Jiang
Pages 5652-5659 |
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Learning Personalized Attribute Preference via Multi-Task AUC Optimization
Zhiyong Yang, Qianqian Xu, Xiaochun Cao, Qingming Huang
Pages 5660-5667 |
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Revisiting Spatial-Temporal Similarity: A Deep Learning Framework for Traffic Prediction
Huaxiu Yao, Xianfeng Tang, Hua Wei, Guanjie Zheng, Zhenhui Li
Pages 5668-5675 |
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Balanced Sparsity for Efficient DNN Inference on GPU
Zhuliang Yao, Shijie Cao, Wencong Xiao, Chen Zhang, Lanshun Nie
Pages 5676-5683 |
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Iterative Classroom Teaching
Teresa Yeo, Parameswaran Kamalaruban, Adish Singla, Arpit Merchant, Thibault Asselborn, Louis Faucon, Pierre Dillenbourg, Volkan Cevher
Pages 5684-5692 |
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Parallel Restarted SGD with Faster Convergence and Less Communication: Demystifying Why Model Averaging Works for Deep Learning
Hao Yu, Sen Yang, Shenghuo Zhu
Pages 5693-5700 |
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Network Recasting: A Universal Method for Network Architecture Transformation
Joonsang Yu, Sungbum Kang, Kiyoung Choi
Pages 5701-5708 |
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Multi-Order Attentive Ranking Model for Sequential Recommendation
Lu Yu, Chuxu Zhang, Shangsong Liang, Xiangliang Zhang
Pages 5709-5716 |
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Interpreting Deep Models for Text Analysis via Optimization and Regularization Methods
Hao Yuan, Yongjun Chen, Xia Hu, Shuiwang Ji
Pages 5717-5724 |
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f-Similarity Preservation Loss for Soft Labels: A Demonstration on Cross-Corpus Speech Emotion Recognition
Biqiao Zhang, Yuqing Kong, Georg Essl, Emily Mower Provost
Pages 5725-5732 |
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Partially Observable Multi-Sensor Sequential Change Detection: A Combinatorial Multi-Armed Bandit Approach
Chen Zhang, Steven C.H. Hoi
Pages 5733-5740 |
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Active Mini-Batch Sampling Using Repulsive Point Processes
Cheng Zhang, Cengiz öztireli, Stephan Mandt, Giampiero Salvi
Pages 5741-5748 |
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Learning Set Functions with Limited Complementarity
Hanrui Zhang
Pages 5749-5756 |
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RecurJac: An Efficient Recursive Algorithm for Bounding Jacobian Matrix of Neural Networks and Its Applications
Huan Zhang, Pengchuan Zhang, Cho-Jui Hsieh
Pages 5757-5764 |
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A Powerful Global Test Statistic for Functional Statistical Inference
Jingwen Zhang, Joseph Ibrahim, Tengfei Li, Hongtu Zhu
Pages 5765-5772 |
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Interactive Attention Transfer Network for Cross-Domain Sentiment Classification
Kai Zhang, Hefu Zhang, Qi Liu, Hongke Zhao, Hengshu Zhu, Enhong Chen
Pages 5773-5780 |
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Learning to Communicate and Solve Visual Blocks-World Tasks
Qi Zhang, Richard Lewis, Satinder Singh, Edmund Durfee
Pages 5781-5788 |
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ACE: An Actor Ensemble Algorithm for Continuous Control with Tree Search
Shangtong Zhang, Hengshuai Yao
Pages 5789-5796 |
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QUOTA: The Quantile Option Architecture for Reinforcement Learning
Shangtong Zhang, Hengshuai Yao
Pages 5797-5804 |
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Hashtag Recommendation for Photo Sharing Services
Suwei Zhang, Yuan Yao, Feng Xu, Hanghang Tong, Xiaohui Yan, Jian Lu
Pages 5805-5812 |
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Find Me if You Can: Deep Software Clone Detection by Exploiting the Contest between the Plagiarist and the Detector
Yan-Ya Zhang, Ming Li
Pages 5813-5820 |
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CAFE: Adaptive VDI Workload Prediction with Multi-Grained Features
Yao Zhang, Wen-Ping Fan, Xuan Wu, Hua Chen, Bin-Yang Li, Min-Ling Zhang
Pages 5821-5828 |
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Bayesian Graph Convolutional Neural Networks for Semi-Supervised Classification
Yingxue Zhang, Soumyasundar Pal, Mark Coates, Deniz Ustebay
Pages 5829-5836 |
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Learning (from) Deep Hierarchical Structure among Features
Yu Zhang, Lei Han
Pages 5837-5844 |
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Learning Uniform Semantic Features for Natural Language and Programming Language Globally, Locally and Sequentially
Yudong Zhang, Wenhao Zheng, Ming Li
Pages 5845-5852 |
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SADIH: Semantic-Aware DIscrete Hashing
Zheng Zhang, Guo-sen Xie, Yang Li, Sheng Li, Zi Huang
Pages 5853-5860 |
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Submodular Optimization over Streams with Inhomogeneous Decays
Junzhou Zhao, Shuo Shang, Pinghui Wang, John C.S. Lui, Xiangliang Zhang
Pages 5861-5868 |
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The Adversarial Attack and Detection under the Fisher Information Metric
Chenxiao Zhao, P. Thomas Fletcher, Mixue Yu, Yaxin Peng, Guixu Zhang, Chaomin Shen
Pages 5869-5876 |
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Where to Go Next: A Spatio-Temporal Gated Network for Next POI Recommendation
Pengpeng Zhao, Haifeng Zhu, Yanchi Liu, Jiajie Xu, Zhixu Li, Fuzhen Zhuang, Victor S. Sheng, Xiaofang Zhou
Pages 5877-5884 |
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InfoVAE: Balancing Learning and Inference in Variational Autoencoders
Shengjia Zhao, Jiaming Song, Stefano Ermon
Pages 5885-5892 |
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Self-Adversarially Learned Bayesian Sampling
Yang Zhao, Jianyi Zhang, Changyou Chen
Pages 5893-5900 |
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Biomedical Image Segmentation via Representative Annotation
Hao Zheng, Lin Yang, Jianxu Chen, Jun Han, Yizhe Zhang, Peixian Liang, Zhuo Zhao, Chaoli Wang, Danny Z. Chen
Pages 5901-5908 |
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A New Ensemble Learning Framework for 3D Biomedical Image Segmentation
Hao Zheng, Yizhe Zhang, Lin Yang, Peixian Liang, Zhuo Zhao, Chaoli Wang, Danny Z. Chen
Pages 5909-5916 |
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Understanding VAEs in Fisher-Shannon Plane
Huangjie Zheng, Jiangchao Yao, Ya Zhang, Ivor W. Tsang, Jia Wang
Pages 5917-5924 |
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Capacity Control of ReLU Neural Networks by Basis-Path Norm
Shuxin Zheng, Qi Meng, Huishuai Zhang, Wei Chen, Nenghai Yu, Tie-Yan Liu
Pages 5925-5932 |
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Self-Supervised Mixture-of-Experts by Uncertainty Estimation
Zhuobin Zheng, Chun Yuan, Xinrui Zhu, Zhihui Lin, Yangyang Cheng, Cheng Shi, Jiahui Ye
Pages 5933-5940 |
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Deep Interest Evolution Network for Click-Through Rate Prediction
Guorui Zhou, Na Mou, Ying Fan, Qi Pi, Weijie Bian, Chang Zhou, Xiaoqiang Zhu, Kun Gai
Pages 5941-5948 |
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An Efficient Compressive Convolutional Network for Unified Object Detection and Image Compression
Xichuan Zhou, Lang Xu, Shujun Liu, Yingcheng Lin, Lei Zhang, Cheng Zhuo
Pages 5949-5956 |
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Communication-Optimal Distributed Dynamic Graph Clustering
Chun Jiang Zhu, Tan Zhu, Kam-Yiu Lam, Song Han, Jinbo Bi
Pages 5957-5964 |
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A Domain Generalization Perspective on Listwise Context Modeling
Lin Zhu, Yihong Chen, Bowen He
Pages 5965-5972 |
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DAN: Deep Attention Neural Network for News Recommendation
Qiannan Zhu, Xiaofei Zhou, Zeliang Song, Jianlong Tan, Li Guo
Pages 5973-5980 |
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Residual Invertible Spatio-Temporal Network for Video Super-Resolution
Xiaobin Zhu, Zhuangzi Li, Xiao-Yu Zhang, Changsheng Li, Yaqi Liu, Ziyu Xue
Pages 5981-5988 |
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Aligning Domain-Specific Distribution and Classifier for Cross-Domain Classification from Multiple Sources
Yongchun Zhu, Fuzhen Zhuang, Deqing Wang
Pages 5989-5996 |
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Consensus Adversarial Domain Adaptation
Han Zou, Yuxun Zhou, Jianfei Yang, Huihan Liu, Hari Prasanna Das, Costas J. Spanos
Pages 5997-6004 |
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AAAI Technical Track: Multiagent Systems
Verification of RNN-Based Neural Agent-Environment Systems
Michael E. Akintunde, Andreea Kevorchian, Alessio Lomuscio, Edoardo Pirovano
Pages 6006-6013 |
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Bayesian Execution Skill Estimation
Christopher Archibald, Delma Nieves-Rivera
Pages 6014-6021 |
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Consensus in Opinion Formation Processes in Fully Evolving Environments
Vincenzo Auletta, Angelo Fanelli, Diodato Ferraioli
Pages 6022-6029 |
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An Abstraction-Based Method for Verifying Strategic Properties in Multi-Agent Systems with Imperfect Information
Francesco Belardinelli, Alessio Lomuscio, Vadim Malvone
Pages 6030-6037 |
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A Generic Approach to Accelerating Belief Propagation Based Incomplete Algorithms for DCOPs via a Branch-and-Bound Technique
Ziyu Chen, Xingqiong Jiang, Yanchen Deng, Dingding Chen, Zhongshi He
Pages 6038-6045 |
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Distributed Community Detection via Metastability of the 2-Choices Dynamics
Emilio Cruciani, Emanuele Natale, Giacomo Scornavacca
Pages 6046-6053 |
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Successor Features Based Multi-Agent RL for Event-Based Decentralized MDPs
Tarun Gupta, Akshat Kumar, Praveen Paruchuri
Pages 6054-6061 |
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IPOMDP-Net: A Deep Neural Network for Partially Observable Multi-Agent Planning Using Interactive POMDPs
Yanlin Han, Piotr Gmytrasiewicz
Pages 6062-6069 |
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General Robustness Evaluation of Incentive Mechanism against Bounded Rationality Using Continuum-Armed Bandits
Zehong Hu, Jie Zhang, Zhao Li
Pages 6070-6078 |
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Message-Dropout: An Efficient Training Method for Multi-Agent Deep Reinforcement Learning
Woojun Kim, Myungsik Cho, Youngchul Sung
Pages 6079-6086 |
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Symmetry-Breaking Constraints for Grid-Based Multi-Agent Path Finding
Jiaoyang Li, Daniel Harabor, Peter J. Stuckey, Hang Ma, Sven Koenig
Pages 6087-6095 |
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Multi-Agent Discussion Mechanism for Natural Language Generation
Xu Li, Mingming Sun, Ping Li
Pages 6096-6103 |
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Large Scale Learning of Agent Rationality in Two-Player Zero-Sum Games
Chun Kai Ling, Fei Fang, J. Zico Kolter
Pages 6104-6111 |
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Leveraging Observations in Bandits: Between Risks and Benefits
Andrei Lupu, Audrey Durand, Doina Precup
Pages 6112-6119 |
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TrafficPredict: Trajectory Prediction for Heterogeneous Traffic-Agents
Yuexin Ma, Xinge Zhu, Sibo Zhang, Ruigang Yang, Wenping Wang, Dinesh Manocha
Pages 6120-6127 |
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Learning to Teach in Cooperative Multiagent Reinforcement Learning
Shayegan Omidshafiei, Dong-Ki Kim, Miao Liu, Gerald Tesauro, Matthew Riemer, Christopher Amato, Murray Campbell, Jonathan P. How
Pages 6128-6136 |
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Overcoming Blind Spots in the Real World: Leveraging Complementary Abilities for Joint Execution
Ramya Ramakrishnan, Ece Kamar, Besmira Nushi, Debadeepta Dey, Julie Shah, Eric Horvitz
Pages 6137-6145 |
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Evolution of Collective Fairness in Hybrid Populations of Humans and Agents
Fernando P. Santos, Jorge M. Pacheco, Ana Paiva, Francisco C. Santos
Pages 6146-6153 |
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Multi-Winner Contests for Strategic Diffusion in Social Networks
Wen Shen, Yang Feng, Cristina V. Lopes
Pages 6154-6162 |
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Theory of Minds: Understanding Behavior in Groups through Inverse Planning
Michael Shum, Max Kleiman-Weiner, Michael L. Littman, Joshua B. Tenenbaum
Pages 6163-6170 |
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Multiagent Decision Making For Maritime Traffic Management
Arambam James Singh, Duc Thien Nguyen, Akshat Kumar, Hoong Chuin Lau
Pages 6171-6178 |
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Probabilistic Alternating-Time µ-Calculus
Fu Song, Yedi Zhang, Taolue Chen, Yu Tang, Zhiwu Xu
Pages 6179-6186 |
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AAAI Technical Track: Natural Language Processing
Enriching Word Embeddings with a Regressor Instead of Labeled Corpora
Mohamed Abdalla, Magnus Sahlgren, Graeme Hirst
Pages 6188-6195 |
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Online Embedding Compression for Text Classification Using Low Rank Matrix Factorization
Anish Acharya, Rahul Goel, Angeliki Metallinou, Inderjit Dhillon
Pages 6196-6203 |
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Antonym-Synonym Classification Based on New Sub-Space Embeddings
Muhammad Asif Ali, Yifang Sun, Xiaoling Zhou, Wei Wang, Xiang Zhao
Pages 6204-6211 |
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AutoSense Model for Word Sense Induction
Reinald Kim Amplayo, Seung-won Hwang, Min Song
Pages 6212-6219 |
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Re-Evaluating ADEM: A Deeper Look at Scoring Dialogue Responses
Ananya B. Sai, Mithun Das Gupta, Mitesh M. Khapra, Mukundhan Srinivasan
Pages 6220-6227 |
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Automated Rule Base Completion as Bayesian Concept Induction
Zied Bouraoui, Steven Schockaert
Pages 6228-6235 |
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GRN: Gated Relation Network to Enhance Convolutional Neural Network for Named Entity Recognition
Hui Chen, Zijia Lin, Guiguang Ding, Jianguang Lou, Yusen Zhang, Borje Karlsson
Pages 6236-6243 |
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Incorporating Structured Commonsense Knowledge in Story Completion
Jiaao Chen, Jianshu Chen, Zhou Yu
Pages 6244-6251 |
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Deep Short Text Classification with Knowledge Powered Attention
Jindong Chen, Yizhou Hu, Jingping Liu, Yanghua Xiao, Haiyun Jiang
Pages 6252-6259 |
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Transfer Learning for Sequence Labeling Using Source Model and Target Data
Lingzhen Chen, Alessandro Moschitti
Pages 6260-6267 |
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Title-Guided Encoding for Keyphrase Generation
Wang Chen, Yifan Gao, Jiani Zhang, Irwin King, Michael R. Lyu
Pages 6268-6275 |
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Convolutional Spatial Attention Model for Reading Comprehension with Multiple-Choice Questions
Zhipeng Chen, Yiming Cui, Wentao Ma, Shijin Wang, Guoping Hu
Pages 6276-6283 |
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Implicit Argument Prediction as Reading Comprehension
Pengxiang Cheng, Katrin Erk
Pages 6284-6291 |
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Recurrent Stacking of Layers for Compact Neural Machine Translation Models
Raj Dabre, Atsushi Fujita
Pages 6292-6299 |
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Joint Extraction of Entities and Overlapping Relations Using Position-Attentive Sequence Labeling
Dai Dai, Xinyan Xiao, Yajuan Lyu, Shan Dou, Qiaoqiao She, Haifeng Wang
Pages 6300-6308 |
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What Is One Grain of Sand in the Desert? Analyzing Individual Neurons in Deep NLP Models
Fahim Dalvi, Nadir Durrani, Hassan Sajjad, Yonatan Belinkov, Anthony Bau, James Glass
Pages 6309-6317 |
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Multi-Task Learning with Multi-View Attention for Answer Selection and Knowledge Base Question Answering
Yang Deng, Yuexiang Xie, Yaliang Li, Min Yang, Nan Du, Wei Fan, Kai Lei, Ying Shen
Pages 6318-6325 |
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Training Temporal Word Embeddings with a Compass
Valerio Di Carlo, Federico Bianchi, Matteo Palmonari
Pages 6326-6334 |
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A Pattern-Based Approach to Recognizing Time Expressions
Wentao Ding, Guanji Gao, Linfeng Shi, Yuzhong Qu
Pages 6335-6342 |
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From Independent Prediction to Reordered Prediction: Integrating Relative Position and Global Label Information to Emotion Cause Identification
Zixiang Ding, Huihui He, Mengran Zhang, Rui Xia
Pages 6343-6350 |
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Adapting Translation Models for Transcript Disfluency Detection
Qianqian Dong, Feng Wang, Zhen Yang, Wei Chen, Shuang Xu, Bo Xu
Pages 6351-6358 |
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Explicit Interaction Model towards Text Classification
Cunxiao Du, Zhaozheng Chen, Fuli Feng, Lei Zhu, Tian Gan, Liqiang Nie
Pages 6359-6366 |
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“Bilingual Expert” Can Find Translation Errors
Kai Fan, Jiayi Wang, Bo Li, Fengming Zhou, Boxing Chen, Luo Si
Pages 6367-6374 |
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EA Reader: Enhance Attentive Reader for Cloze-Style Question Answering via Multi-Space Context Fusion
Chengzhen Fu, Yan Zhang
Pages 6375-6382 |
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Generating Multiple Diverse Responses for Short-Text Conversation
Jun Gao, Wei Bi, Xiaojiang Liu, Junhui Li, Shuming Shi
Pages 6383-6390 |
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Structured Two-Stream Attention Network for Video Question Answering
Lianli Gao, Pengpeng Zeng, Jingkuan Song, Yuan-Fang Li, Wu Liu, Tao Mei, Heng Tao Shen
Pages 6391-6398 |
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Abstractive Text Summarization by Incorporating Reader Comments
Shen Gao, Xiuying Chen, Piji Li, Zhaochun Ren, Lidong Bing, Dongyan Zhao, Rui Yan
Pages 6399-6406 |
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Hybrid Attention-Based Prototypical Networks for Noisy Few-Shot Relation Classification
Tianyu Gao, Xu Han, Zhiyuan Liu, Maosong Sun
Pages 6407-6414 |
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Predicting and Analyzing Language Specificity in Social Media Posts
Yifan Gao, Yang Zhong, Daniel Preoţiuc-Pietro, Junyi Jessy Li
Pages 6415-6422 |
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Generating Distractors for Reading Comprehension Questions from Real Examinations
Yifan Gao, Lidong Bing, Piji Li, Irwin King, Michael R. Lyu
Pages 6423-6430 |
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Kernelized Hashcode Representations for Relation Extraction
Sahil Garg, Aram Galstyan, Greg Ver Steeg, Irina Rish, Guillermo Cecchi, Shuyang Gao
Pages 6431-6440 |
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MNCN: A Multilingual Ngram-Based Convolutional Network for Aspect Category Detection in Online Reviews
Erfan Ghadery, Sajad Movahedi, Heshaam Faili, Azadeh Shakery
Pages 6441-6448 |
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Sentence-Wise Smooth Regularization for Sequence to Sequence Learning
Chengyue Gong, Xu Tan, Di He, Tao Qin
Pages 6449-6456 |
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Switch-LSTMs for Multi-Criteria Chinese Word Segmentation
Jingjing Gong, Xinchi Chen, Tao Gui, Xipeng Qiu
Pages 6457-6464 |
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Deep Cascade Multi-Task Learning for Slot Filling in Online Shopping Assistant
Yu Gong, Xusheng Luo, Yu Zhu, Wenwu Ou, Zhao Li, Muhua Zhu, Kenny Q. Zhu, Lu Duan, Xi Chen
Pages 6465-6472 |
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Story Ending Generation with Incremental Encoding and Commonsense Knowledge
Jian Guan, Yansen Wang, Minlie Huang
Pages 6473-6480 |
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Long Short-Term Memory with Dynamic Skip Connections
Tao Gui, Qi Zhang, Lujun Zhao, Yaosong Lin, Minlong Peng, Jingjing Gong, Xuanjing Huang
Pages 6481-6488 |
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Gaussian Transformer: A Lightweight Approach for Natural Language Inference
Maosheng Guo, Yu Zhang, Ting Liu
Pages 6489-6496 |
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GIRNet: Interleaved Multi-Task Recurrent State Sequence Models
Divam Gupta, Tanmoy Chakraborty, Soumen Chakrabarti
Pages 6497-6504 |
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Document Informed Neural Autoregressive Topic Models with Distributional Prior
Pankaj Gupta, Yatin Chaudhary, Florian Buettner, Hinrich Schütze
Pages 6505-6512 |
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Neural Relation Extraction within and across Sentence Boundaries
Pankaj Gupta, Subburam Rajaram, Hinrich Schütze, Thomas Runkler
Pages 6513-6520 |
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PARABANK: Monolingual Bitext Generation and Sentential Paraphrasing via Lexically-Constrained Neural Machine Translation
J. Edward Hu, Rachel Rudinger, Matt Post, Benjamin Van Durme
Pages 6521-6528 |
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Read + Verify: Machine Reading Comprehension with Unanswerable Questions
Minghao Hu, Furu Wei, Yuxing Peng, Zhen Huang, Nan Yang, Dongsheng Li
Pages 6529-6537 |
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Recurrent Poisson Process Unit for Speech Recognition
Hengguan Huang, Hao Wang, Brian Mak
Pages 6538-6545 |
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Dictionary-Guided Editing Networks for Paraphrase Generation
Shaohan Huang, Yu Wu, Furu Wei, Zhongzhi Luan
Pages 6546-6553 |
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Unsupervised Controllable Text Formalization
Parag Jain, Abhijit Mishra, Amar Prakash Azad, Karthik Sankaranarayanan
Pages 6554-6561 |
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Word Embedding as Maximum A Posteriori Estimation
Shoaib Jameel, Zihao Fu, Bei Shi, Wai Lam, Steven Schockaert
Pages 6562-6569 |
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Understanding Actors and Evaluating Personae with Gaussian Embeddings
Hannah Kim, Denys Katerenchuk, Daniel Billet, Jun Huan, Haesun Park, Boyang Li
Pages 6570-6577 |
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Predicting the Argumenthood of English Prepositional Phrases
Najoung Kim, Kyle Rawlins, Benjamin Van Durme, Paul Smolensky
Pages 6578-6585 |
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Semantic Sentence Matching with Densely-Connected Recurrent and Co-Attentive Information
Seonhoon Kim, Inho Kang, Nojun Kwak
Pages 6586-6593 |
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Dynamic Compositionality in Recursive Neural Networks with Structure-Aware Tag Representations
Taeuk Kim, Jihun Choi, Daniel Edmiston, Sanghwan Bae, Sang-goo Lee
Pages 6594-6601 |
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Improving Neural Question Generation Using Answer Separation
Yanghoon Kim, Hwanhee Lee, Joongbo Shin, Kyomin Jung
Pages 6602-6609 |
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Domain Agnostic Real-Valued Specificity Prediction
Wei-Jen Ko, Greg Durrett, Junyi Jessy Li
Pages 6610-6617 |
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Neural Machine Translation with Adequacy-Oriented Learning
Xiang Kong, Zhaopeng Tu, Shuming Shi, Eduard Hovy, Tong Zhang
Pages 6618-6625 |
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Fast and Simple Mixture of Softmaxes with BPE and Hybrid-LightRNN for Language Generation
Xiang Kong, Qizhe Xie, Zihang Dai, Eduard Hovy
Pages 6626-6633 |
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Lattice CNNs for Matching Based Chinese Question Answering
Yuxuan Lai, Yansong Feng, Xiaohan Yu, Zheng Wang, Kun Xu, Dongyan Zhao
Pages 6634-6641 |
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Zero-Shot Adaptive Transfer for Conversational Language Understanding
Sungjin Lee, Rahul Jha
Pages 6642-6649 |
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A Human-Like Semantic Cognition Network for Aspect-Level Sentiment Classification
Zeyang Lei, Yujiu Yang, Min Yang, Wei Zhao, Jun Guo, Yi Liu
Pages 6650-6657 |
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Dependency Grammar Induction with a Neural Variational Transition-Based Parser
Bowen Li, Jianpeng Cheng, Yang Liu, Frank Keller
Pages 6658-6665 |
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Knowledge-Driven Encode, Retrieve, Paraphrase for Medical Image Report Generation
Christy Y. Li, Xiaodan Liang, Zhiting Hu, Eric P. Xing
Pages 6666-6673 |
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What Should I Learn First: Introducing LectureBank for NLP Education and Prerequisite Chain Learning
Irene Li, Alexander R. Fabbri, Robert R. Tung, Dragomir R. Radev
Pages 6674-6681 |
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Differentiated Distribution Recovery for Neural Text Generation
Jianing Li, Yanyan Lan, Jiafeng Guo, Jun Xu, Xueqi Cheng
Pages 6682-6689 |
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Towards Personalized Review Summarization via User-Aware Sequence Network
Junjie Li, Haoran Li, Chengqing Zong
Pages 6690-6697 |
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Insufficient Data Can Also Rock! Learning to Converse Using Smaller Data with Augmentation
Juntao Li, Lisong Qiu, Bo Tang, Dongmin Chen, Dongyan Zhao, Rui Yan
Pages 6698-6705 |
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Neural Speech Synthesis with Transformer Network
Naihan Li, Shujie Liu, Yanqing Liu, Sheng Zhao, Ming Liu
Pages 6706-6713 |
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A Unified Model for Opinion Target Extraction and Target Sentiment Prediction
Xin Li, Lidong Bing, Piji Li, Wai Lam
Pages 6714-6721 |
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Dialogue Generation: From Imitation Learning to Inverse Reinforcement Learning
Ziming Li, Julia Kiseleva, Maarten de Rijke
Pages 6722-6729 |
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Dependency or Span, End-to-End Uniform Semantic Role Labeling
Zuchao Li, Shexia He, Hai Zhao, Yiqing Zhang, Zhuosheng Zhang, Xi Zhou, Xiang Zhou
Pages 6730-6737 |
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A Generalized Idiom Usage Recognition Model Based on Semantic Compatibility
Changsheng Liu, Rebecca Hwa
Pages 6738-6745 |
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Leveraging Web Semantic Knowledge in Word Representation Learning
Haoyan Liu, Lei Fang, Jian-Guang Lou, Zhoujun Li
Pages 6746-6753 |
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Exploiting the Ground-Truth: An Adversarial Imitation Based Knowledge Distillation Approach for Event Detection
Jian Liu, Yubo Chen, Kang Liu
Pages 6754-6761 |
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Contextualized Non-Local Neural Networks for Sequence Learning
Pengfei Liu, Shuaichen Chang, Xuanjing Huang, Jian Tang, Jackie Chi Kit Cheung
Pages 6762-6769 |
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FANDA: A Novel Approach to Perform Follow-Up Query Analysis
Qian Liu, Bei Chen, Jian-Guang Lou, Ge Jin, Dongmei Zhang
Pages 6770-6777 |
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Unsupervised Post-Processing of Word Vectors via Conceptor Negation
Tianlin Liu, Lyle Ungar, João Sedoc
Pages 6778-6785 |
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Hierarchical Encoder with Auxiliary Supervision for Neural Table-to-Text Generation: Learning Better Representation for Tables
Tianyu Liu, Fuli Luo, Qiaolin Xia, Shuming Ma, Baobao Chang, Zhifang Sui
Pages 6786-6793 |
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Learning Personalized End-to-End Goal-Oriented Dialog
Liangchen Luo, Wenhao Huang, Qi Zeng, Zaiqing Nie, Xu Sun
Pages 6794-6801 |
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SAM-Net: Integrating Event-Level and Chain-Level Attentions to Predict What Happens Next
Shangwen Lv, Wanhui Qian, Longtao Huang, Jizhong Han, Songlin Hu
Pages 6802-6809 |
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LiveBot: Generating Live Video Comments Based on Visual and Textual Contexts
Shuming Ma, Lei Cui, Damai Dai, Furu Wei, Xu Sun
Pages 6810-6817 |
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DialogueRNN: An Attentive RNN for Emotion Detection in Conversations
Navonil Majumder, Soujanya Poria, Devamanyu Hazarika, Rada Mihalcea, Alexander Gelbukh, Erik Cambria
Pages 6818-6825 |
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Weakly-Supervised Hierarchical Text Classification
Yu Meng, Jiaming Shen, Chao Zhang, Jiawei Han
Pages 6826-6833 |
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CGMH: Constrained Sentence Generation by Metropolis-Hastings Sampling
Ning Miao, Hao Zhou, Lili Mou, Rui Yan, Lei Li
Pages 6834-6842 |
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Spell Once, Summon Anywhere: A Two-Level Open-Vocabulary Language Model
Sabrina J. Mielke, Jason Eisner
Pages 6843-6850 |
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One for All: Neural Joint Modeling of Entities and Events
Trung Minh Nguyen, Thien Huu Nguyen
Pages 6851-6858 |
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Combining Fact Extraction and Verification with Neural Semantic Matching Networks
Yixin Nie, Haonan Chen, Mohit Bansal
Pages 6859-6866 |
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Analyzing Compositionality-Sensitivity of NLI Models
Yixin Nie, Yicheng Wang, Mohit Bansal
Pages 6867-6874 |
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HAS-QA: Hierarchical Answer Spans Model for Open-Domain Question Answering
Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Lixin Su, Xueqi Cheng
Pages 6875-6882 |
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Paraphrase Diversification Using Counterfactual Debiasing
Sunghyun Park, Seung-won Hwang, Fuxiang Chen, Jaegul Choo, Jung-Woo Ha, Sunghun Kim, Jinyeong Yim
Pages 6883-6891 |
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Found in Translation: Learning Robust Joint Representations by Cyclic Translations between Modalities
Hai Pham, Paul Pu Liang, Thomas Manzini, Louis-Philippe Morency, Barnabás Póczos
Pages 6892-6899 |
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Unseen Word Representation by Aligning Heterogeneous Lexical Semantic Spaces
Victor Prokhorov, Mohammad Taher Pilehvar, Dimitri Kartsaklis, Pietro Lio, Nigel Collier
Pages 6900-6907 |
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Data-to-Text Generation with Content Selection and Planning
Ratish Puduppully, Li Dong, Mirella Lapata
Pages 6908-6915 |
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Jointly Learning to Label Sentences and Tokens
Marek Rei, Anders Søgaard
Pages 6916-6923 |
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Zero-Shot Neural Transfer for Cross-Lingual Entity Linking
Shruti Rijhwani, Jiateng Xie, Graham Neubig, Jaime Carbonell
Pages 6924-6931 |
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COALA: A Neural Coverage-Based Approach for Long Answer Selection with Small Data
Andreas Rücklé, Nafise Sadat Moosavi, Iryna Gurevych
Pages 6932-6939 |
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Revisiting LSTM Networks for Semi-Supervised Text Classification via Mixed Objective Function
Devendra Singh Sachan, Manzil Zaheer, Ruslan Salakhutdinov
Pages 6940-6948 |
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A Hierarchical Multi-Task Approach for Learning Embeddings from Semantic Tasks
Victor Sanh, Thomas Wolf, Sebastian Ruder
Pages 6949-6956 |
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On Resolving Ambiguous Anaphoric Expressions in Imperative Discourse
Vasanth Sarathy, Matthias Scheutz
Pages 6957-6964 |
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Learning Semantic Representations for Novel Words: Leveraging Both Form and Context
Timo Schick, Hinrich Schütze
Pages 6965-6973 |
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Challenges in the Automatic Analysis of Students’ Diagnostic Reasoning
Claudia Schulz, Christian M. Meyer, Iryna Gurevych
Pages 6974-6981 |
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Analysis of Joint Multilingual Sentence Representations and Semantic K-Nearest Neighbor Graphs
Holger Schwenk, Douwe Kiela, Matthijs Douze
Pages 6982-6990 |
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Learning to Embed Sentences Using Attentive Recursive Trees
Jiaxin Shi, Lei Hou, Juanzi Li, Zhiyuan Liu, Hanwang Zhang
Pages 6991-6998 |
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DeepChannel: Salience Estimation by Contrastive Learning for Extractive Document Summarization
Jiaxin Shi, Chen Liang, Lei Hou, Juanzi Li, Zhiyuan Liu, Hanwang Zhang
Pages 6999-7006 |
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A Deep Sequential Model for Discourse Parsing on Multi-Party Dialogues
Zhouxing Shi, Minlie Huang
Pages 7007-7014 |
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GlobalTrait: Personality Alignment of Multilingual Word Embeddings
Farhad Bin Siddique, Dario Bertero, Pascale Fung
Pages 7015-7022 |
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Exploring Knowledge Graphs in an Interpretable Composite Approach for Text Entailment
Vivian S. Silva, André Freitas, Siegfried Handschuh
Pages 7023-7030 |
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Fast PMI-Based Word Embedding with Efficient Use of Unobserved Patterns
Behrouz Haji Soleimani, Stan Matwin
Pages 7031-7038 |
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Distantly Supervised Entity Relation Extraction with Adapted Manual Annotations
Changzhi Sun, Yuanbin Wu
Pages 7039-7046 |
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Towards Sentence-Level Brain Decoding with Distributed Representations
Jingyuan Sun, Shaonan Wang, Jiajun Zhang, Chengqing Zong
Pages 7047-7054 |
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A Grammar-Based Structural CNN Decoder for Code Generation
Zeyu Sun, Qihao Zhu, Lili Mou, Yingfei Xiong, Ge Li, Lu Zhang
Pages 7055-7062 |
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QUAREL: A Dataset and Models for Answering Questions about Qualitative Relationships
Oyvind Tafjord, Peter Clark, Matt Gardner, Wen-tau Yih, Ashish Sabharwal
Pages 7063-7071 |
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A Hierarchical Framework for Relation Extraction with Reinforcement Learning
Ryuichi Takanobu, Tianyang Zhang, Jiexi Liu, Minlie Huang
Pages 7072-7079 |
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Jointly Extracting Multiple Triplets with Multilayer Translation Constraints
Zhen Tan, Xiang Zhao, Wei Wang, Weidong Xiao
Pages 7080-7087 |
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Multi-Matching Network for Multiple Choice Reading Comprehension
Min Tang, Jiaran Cai, Hankz Hankui Zhuo
Pages 7088-7095 |
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Generating Live Soccer-Match Commentary from Play Data
Yasufumi Taniguchi, Yukun Feng, Hiroya Takamura, Manabu Okumura
Pages 7096-7103 |
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Near-Lossless Binarization of Word Embeddings
Julien Tissier, Christophe Gravier, Amaury Habrard
Pages 7104-7111 |
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CompareLDA: A Topic Model for Document Comparison
Maksim Tkachenko, Hady W. Lauw
Pages 7112-7119 |
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A Natural Language Corpus of Common Grounding under Continuous and Partially-Observable Context
Takuma Udagawa, Akiko Aizawa
Pages 7120-7127 |
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Improving Hypernymy Prediction via Taxonomy Enhanced Adversarial Learning
Chengyu Wang, Xiaofeng He, Aoying Zhou
Pages 7128-7135 |
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What if We Simply Swap the Two Text Fragments? A Straightforward yet Effective Way to Test the Robustness of Methods to Confounding Signals in Nature Language Inference Tasks
Haohan Wang, Da Sun, Eric P. Xing
Pages 7136-7143 |
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Template-Based Math Word Problem Solvers with Recursive Neural Networks
Lei Wang, Dongxiang Zhang, Jipeng Zhang, Xing Xu, Lianli Gao, Bing Tian Dai, Heng Tao Shen
Pages 7144-7151 |
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Logic Attention Based Neighborhood Aggregation for Inductive Knowledge Graph Embedding
Peifeng Wang, Jialong Han, Chenliang Li, Rong Pan
Pages 7152-7159 |
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Chinese NER with Height-Limited Constituent Parsing
Rui Wang, Xin Xin, Wei Chang, Kun Ming, Biao Li, Xin Fan
Pages 7160-7167 |
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A Multi-Agent Communication Framework for Question-Worthy Phrase Extraction and Question Generation
Siyuan Wang, Zhongyu Wei, Zhihao Fan, Yang Liu, Xuanjing Huang
Pages 7168-7175 |
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A Task in a Suit and a Tie: Paraphrase Generation with Semantic Augmentation
Su Wang, Rahul Gupta, Nancy Chang, Jason Baldridge
Pages 7176-7183 |
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Hierarchical Attention Networks for Sentence Ordering
Tianming Wang, Xiaojun Wan
Pages 7184-7191 |
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Transferable Interactive Memory Network for Domain Adaptation in Fine-Grained Opinion Extraction
Wenya Wang, Sinno Jialin Pan
Pages 7192-7199 |
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Unsupervised Learning Helps Supervised Neural Word Segmentation
Xiaobin Wang, Deng Cai, Linlin Li, Guangwei Xu, Hai Zhao, Luo Si
Pages 7200-7207 |
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Improving Natural Language Inference Using External Knowledge in the Science Questions Domain
Xiaoyan Wang, Pavan Kapanipathi, Ryan Musa, Mo Yu, Kartik Talamadupula, Ibrahim Abdelaziz, Maria Chang, Achille Fokoue, Bassem Makni, Nicholas Mattei, Michael Witbrock
Pages 7208-7215 |
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Words Can Shift: Dynamically Adjusting Word Representations Using Nonverbal Behaviors
Yansen Wang, Ying Shen, Zhun Liu, Paul Pu Liang, Amir Zadeh, Louis-Philippe Morency
Pages 7216-7223 |
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A Deep Reinforcement Learning Based Multi-Step Coarse to Fine Question Answering (MSCQA) System
Yu Wang, Hongxia Jin
Pages 7224-7232 |
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When Do Words Matter? Understanding the Impact of Lexical Choice on Audience Perception Using Individual Treatment Effect Estimation
Zhao Wang, Aron Culotta
Pages 7233-7240 |
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Better Fine-Tuning via Instance Weighting for Text Classification
Zhi Wang, Wei Bi, Yan Wang, Xiaojiang Liu
Pages 7241-7248 |
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A Topic-Aware Reinforced Model for Weakly Supervised Stance Detection
Penghui Wei, Wenji Mao, Guandan Chen
Pages 7249-7256 |
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Translating with Bilingual Topic Knowledge for Neural Machine Translation
Xiangpeng Wei, Yue Hu, Luxi Xing, Yipeng Wang, Li Gao
Pages 7257-7264 |
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Reverse-Engineering Satire, or “Paper on Computational Humor Accepted despite Making Serious Advances”
Robert West, Eric Horvitz
Pages 7265-7272 |
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Improving Distantly Supervised Relation Extraction with Neural Noise Converter and Conditional Optimal Selector
Shanchan Wu, Kai Fan, Qiong Zhang
Pages 7273-7280 |
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Response Generation by Context-Aware Prototype Editing
Yu Wu, Furu Wei, Shaohan Huang, Yunli Wang, Zhoujun Li, Ming Zhou
Pages 7281-7288 |
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Switch-Based Active Deep Dyna-Q: Efficient Adaptive Planning for Task-Completion Dialogue Policy Learning
Yuexin Wu, Xiujun Li, Jingjing Liu, Jianfeng Gao, Yiming Yang
Pages 7289-7296 |
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Graph Based Translation Memory for Neural Machine Translation
Mengzhou Xia, Guoping Huang, Lemao Liu, Shuming Shi
Pages 7297-7304 |
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Syntax-Aware Neural Semantic Role Labeling
Qingrong Xia, Zhenghua Li, Min Zhang, Meishan Zhang, Guohong Fu, Rui Wang, Luo Si
Pages 7305-7313 |
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Adaptive Region Embedding for Text Classification
Liuyu Xiang, Xiaoming Jin, Lan Yi, Guiguang Ding
Pages 7314-7321 |
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Quantifying Uncertainties in Natural Language Processing Tasks
Yijun Xiao, William Yang Wang
Pages 7322-7329 |
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Distributed Representation of Words in Cause and Effect Spaces
Zhipeng Xie, Feiteng Mu
Pages 7330-7337 |
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Modeling Coherence for Discourse Neural Machine Translation
Hao Xiong, Zhongjun He, Hua Wu, Haifeng Wang
Pages 7338-7345 |
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End-to-End Knowledge-Routed Relational Dialogue System for Automatic Diagnosis
Lin Xu, Qixian Zhou, Ke Gong, Xiaodan Liang, Jianheng Tang, Liang Lin
Pages 7346-7353 |
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A Deep Cascade Model for Multi-Document Reading Comprehension
Ming Yan, Jiangnan Xia, Chen Wu, Bin Bi, Zhongzhou Zhao, Ji Zhang, Luo Si, Rui Wang, Wei Wang, Haiqing Chen
Pages 7354-7361 |
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Exploring Human-Like Reading Strategy for Abstractive Text Summarization
Min Yang, Qiang Qu, Wenting Tu, Ying Shen, Zhou Zhao, Xiaojun Chen
Pages 7362-7369 |
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Graph Convolutional Networks for Text Classification
Liang Yao, Chengsheng Mao, Yuan Luo
Pages 7370-7377 |
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Plan-and-Write: Towards Better Automatic Storytelling
Lili Yao, Nanyun Peng, Ralph Weischedel, Kevin Knight, Dongyan Zhao, Rui Yan
Pages 7378-7385 |
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ScisummNet: A Large Annotated Corpus and Content-Impact Models for Scientific Paper Summarization with Citation Networks
Michihiro Yasunaga, Jungo Kasai, Rui Zhang, Alexander R. Fabbri, Irene Li, Dan Friedman, Dragomir R. Radev
Pages 7386-7393 |
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TopicEq: A Joint Topic and Mathematical Equation Model for Scientific Texts
Michihiro Yasunaga, John D. Lafferty
Pages 7394-7401 |
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Data Augmentation for Spoken Language Understanding via Joint Variational Generation
Kang Min Yoo, Youhyun Shin, Sang-goo Lee
Pages 7402-7409 |
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Combining Axiom Injection and Knowledge Base Completion for Efficient Natural Language Inference
Masashi Yoshikawa, Koji Mineshima, Hiroshi Noji, Daisuke Bekki
Pages 7410-7417 |
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Distant Supervision for Relation Extraction with Linear Attenuation Simulation and Non-IID Relevance Embedding
Changsen Yuan, Heyan Huang, Chong Feng, Xiao Liu, Xiaochi Wei
Pages 7418-7425 |
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Exploring Answer Stance Detection with Recurrent Conditional Attention
Jianhua Yuan, Yanyan Zhao, Jingfang Xu, Bing Qin
Pages 7426-7433 |
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Bidirectional Transition-Based Dependency Parsing
Yunzhe Yuan, Yong Jiang, Kewei Tu
Pages 7434-7441 |
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DRr-Net: Dynamic Re-Read Network for Sentence Semantic Matching
Kun Zhang, Guangyi Lv, Linyuan Wang, Le Wu, Enhong Chen, Fangzhao Wu, Xing Xie
Pages 7442-7449 |
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A Generalized Language Model in Tensor Space
Lipeng Zhang, Peng Zhang, Xindian Ma, Shuqin Gu, Zhan Su, Dawei Song
Pages 7450-7458 |
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Generating Chinese Ci with Designated Metrical Structure
Richong Zhang, Xinyu Liu, Xinwei Chen, Zhiyuan Hu, Zhaoqing Xu, Yongyi Mao
Pages 7459-7467 |
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A Neural Network Approach to Verb Phrase Ellipsis Resolution
Wei-Nan Zhang, Yue Zhang, Yuanxing Liu, Donglin Di, Ting Liu
Pages 7468-7475 |
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Generating Character Descriptions for Automatic Summarization of Fiction
Weiwei Zhang, Jackie Chi Kit Cheung, Joel Oren
Pages 7476-7483 |
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Multi-Labeled Relation Extraction with Attentive Capsule Network
Xinsong Zhang, Pengshuai Li, Weijia Jia, Hai Zhao
Pages 7484-7491 |
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An Affect-Rich Neural Conversational Model with Biased Attention and Weighted Cross-Entropy Loss
Peixiang Zhong, Di Wang, Chunyan Miao
Pages 7492-7500 |
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AAAI Technical Track: Planning, Routing, and Scheduling
Plan-Length Bounds: Beyond 1-Way Dependency
Mohammad Abdulaziz
Pages 7502-7510 |
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Measurement Maximizing Adaptive Sampling with Risk Bounding Functions
Benjamin Ayton, Brian Williams, Richard Camilli
Pages 7511-7519 |
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Bringing Order to Chaos – A Compact Representation of Partial Order in SAT-Based HTN Planning
Gregor Behnke, Daniel Höller, Susanne Biundo
Pages 7520-7529 |
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Deep Reactive Policies for Planning in Stochastic Nonlinear Domains
Thiago P. Bueno, Leliane N. de Barros, Denis D. Mauá, Scott Sanner
Pages 7530-7537 |
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Robustness Envelopes for Temporal Plans
Michael Cashmore, Alessandro Cimatti, Daniele Magazzeni, Andrea Micheli, Parisa Zehtabi
Pages 7538-7545 |
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Improving Domain-Independent Planning via Critical Section Macro-Operators
Lukáš Chrpa, Mauro Vallati
Pages 7546-7553 |
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Efficient Temporal Planning Using Metastates
Amanda Coles, Andrew Coles, J. Christopher Beck
Pages 7554-7561 |
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Efficiently Reasoning with Interval Constraints in Forward Search Planning
Amanda Coles, Andrew Coles, Moises Martinez, Emre Savas, Juan Manuel Delfa, Tomás de la Rosa, Yolanda E-Martín, Angel García-Olaya
Pages 7562-7569 |
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Learning Resource Allocation and Pricing for Cloud Profit Maximization
Bingqian Du, Chuan Wu, Zhiyi Huang
Pages 7570-7577 |
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Refining Abstraction Heuristics during Real-Time Planning
Rebecca Eifler, Maximilian Fickert, Jörg Hoffmann, Wheeler Ruml
Pages 7578-7585 |
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Operator Mutexes and Symmetries for Simplifying Planning Tasks
Daniel Fišer, álvaro Torralba, Alexander Shleyfman
Pages 7586-7593 |
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Solving Multiagent Planning Problems with Concurrent Conditional Effects
Daniel Furelos-Blanco, Anders Jonsson
Pages 7594-7601 |
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Learning How to Ground a Plan – Partial Grounding in Classical Planning
Daniel Gnad, álvaro Torralba, Martín Domínguez, Carlos Areces, Facundo Bustos
Pages 7602-7609 |
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Generalized Planning via Abstraction: Arbitrary Numbers of Objects
León Illanes, Sheila A. McIlraith
Pages 7610-7618 |
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Red-Black Heuristics for Planning Tasks with Conditional Effects
Michael Katz
Pages 7619-7626 |
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Multi-Agent Path Finding for Large Agents
Jiaoyang Li, Pavel Surynek, Ariel Felner, Hang Ma, T. K. Satish Kumar, Sven Koenig
Pages 7627-7634 |
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Moral Permissibility of Action Plans
Felix Lindner, Robert Mattmüller, Bernhard Nebel
Pages 7635-7642 |
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Searching with Consistent Prioritization for Multi-Agent Path Finding
Hang Ma, Daniel Harabor, Peter J. Stuckey, Jiaoyang Li, Sven Koenig
Pages 7643-7650 |
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Lifelong Path Planning with Kinematic Constraints for Multi-Agent Pickup and Delivery
Hang Ma, Wolfgang Hönig, T. K. Satish Kumar, Nora Ayanian, Sven Koenig
Pages 7651-7658 |
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Performance Guarantees for Homomorphisms beyond Markov Decision Processes
Sultan Javed Majeed, Marcus Hutter
Pages 7659-7666 |
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Sliding Window Temporal Graph Coloring
George B. Mertzios, Hendrik Molter, Viktor Zamaraev
Pages 7667-7674 |
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Temporal Planning with Temporal Metric Trajectory Constraints
Andrea Micheli, Enrico Scala
Pages 7675-7682 |
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Automated Verification of Social Laws for Continuous Time Multi-Robot Systems
Ronen Nir, Erez Karpas
Pages 7683-7690 |
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Acting and Planning Using Operational Models
Sunandita Patra, Malik Ghallab, Dana Nau, Paolo Traverso
Pages 7691-7698 |
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Distribution-Based Semi-Supervised Learning for Activity Recognition
Hangwei Qian, Sinno Jialin Pan, Chunyan Miao
Pages 7699-7706 |
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An Innovative Genetic Algorithm for the Quantum Circuit Compilation Problem
Riccardo Rasconi, Angelo Oddi
Pages 7707-7714 |
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Deep Learning for Cost-Optimal Planning: Task-Dependent Planner Selection
Silvan Sievers, Michael Katz, Shirin Sohrabi, Horst Samulowitz, Patrick Ferber
Pages 7715-7723 |
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Rotational Diversity in Multi-Cycle Assignment Problems
Helge Spieker, Arnaud Gotlieb, Morten Mossige
Pages 7724-7731 |
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Online Multi-Agent Pathfinding
Jiří švancara, Marek Vlk, Roni Stern, Dor Atzmon, Roman Barták
Pages 7732-7739 |
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AAAI Technical Track: Reasoning under Uncertainty
Active Preference Learning Based on Generalized Gini Functions: Application to the Multiagent Knapsack Problem
Nadjet Bourdache, Patrice Perny
Pages 7741-7748 |
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Machine Teaching for Inverse Reinforcement Learning: Algorithms and Applications
Daniel S. Brown, Scott Niekum
Pages 7749-7758 |
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Robustness Guarantees for Bayesian Inference with Gaussian Processes
Luca Cardelli, Marta Kwiatkowska, Luca Laurenti, Andrea Patane
Pages 7759-7768 |
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Probabilistic Logic Programming with Beta-Distributed Random Variables
Federico Cerutti, Lance Kaplan, Angelika Kimmig, Murat Şensoy
Pages 7769-7776 |
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On Testing of Uniform Samplers
Sourav Chakraborty, Kuldeep S. Meel
Pages 7777-7784 |
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On the Hardness of Probabilistic Inference Relaxations
Supratik Chakraborty, Kuldeep S. Meel, Moshe Y. Vardi
Pages 7785-7792 |
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Learning Diverse Bayesian Networks
Cong Chen, Changhe Yuan
Pages 7793-7800 |
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Path-Specific Counterfactual Fairness
Silvia Chiappa
Pages 7801-7808 |
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Efficient Optimal Approximation of Discrete Random Variables for Estimation of Probabilities of Missing Deadlines
Liat Cohen, Gera Weiss
Pages 7809-7815 |
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Fast Relational Probabilistic Inference and Learning: Approximate Counting via Hypergraphs
Mayukh Das, Devendra Singh Dhami, Gautam Kunapuli, Kristian Kersting, Sriraam Natarajan
Pages 7816-7824 |
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Exact and Approximate Weighted Model Integration with Probability Density Functions Using Knowledge Compilation
Pedro Zuidberg Dos Martires, Anton Dries, Luc De Raedt
Pages 7825-7833 |
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Marginal Inference in Continuous Markov Random Fields Using Mixtures
Yuanzhen Guo, Hao Xiong, Nicholas Ruozzi
Pages 7834-7841 |
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A Generative Model for Dynamic Networks with Applications
Shubham Gupta, Gaurav Sharma, Ambedkar Dukkipati
Pages 7842-7849 |
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Collective Online Learning of Gaussian Processes in Massive Multi-Agent Systems
Trong Nghia Hoang, Quang Minh Hoang, Kian Hsiang Low, Jonathan How
Pages 7850-7857 |
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MFBO-SSM: Multi-Fidelity Bayesian Optimization for Fast Inference in State-Space Models
Mahdi Imani, Seyede Fatemeh Ghoreishi, Douglas Allaire, Ulisses M. Braga-Neto
Pages 7858-7865 |
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Polynomial-Time Probabilistic Reasoning with Partial Observations via Implicit Learning in Probability Logics
Brendan Juba
Pages 7866-7875 |
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Randomized Strategies for Robust Combinatorial Optimization
Yasushi Kawase, Hanna Sumita
Pages 7876-7883 |
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Dirichlet Multinomial Mixture with Variational Manifold Regularization: Topic Modeling over Short Texts
Ximing Li, Jiaojiao Zhang, Jihong Ouyang
Pages 7884-7891 |
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Finding All Bayesian Network Structures within a Factor of Optimal
Zhenyu A. Liao, Charupriya Sharma, James Cussens, Peter van Beek
Pages 7892-7899 |
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Interleave Variational Optimization with Monte Carlo Sampling: A Tale of Two Approximate Inference Paradigms
Qi Lou, Rina Dechter, Alexander Ihler
Pages 7900-7907 |
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Robust Ordinal Embedding from Contaminated Relative Comparisons
Ke Ma, Qianqian Xu, Xiaochun Cao
Pages 7908-7915 |
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On Lifted Inference Using Neural Embeddings
Mohammad Maminur Islam, Somdeb Sarkhel, Deepak Venugopal
Pages 7916-7923 |
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Anytime Recursive Best-First Search for Bounding Marginal MAP
Radu Marinescu, Akihiro Kishimoto, Adi Botea, Rina Dechter, Alexander Ihler
Pages 7924-7932 |
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Semi-Parametric Sampling for Stochastic Bandits with Many Arms
Mingdong Ou, Nan Li, Cheng Yang, Shenghuo Zhu, Rong Jin
Pages 7933-7940 |
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Memory Bounded Open-Loop Planning in Large POMDPs Using Thompson Sampling
Thomy Phan, Lenz Belzner, Marie Kiermeier, Markus Friedrich, Kyrill Schmid, Claudia Linnhoff-Popien
Pages 7941-7948 |
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Rethinking the Discount Factor in Reinforcement Learning: A Decision Theoretic Approach
Silviu Pitis
Pages 7949-7956 |
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Structured Bayesian Networks: From Inference to Learning with Routes
Yujia Shen, Anchal Goyanka, Adnan Darwiche, Arthur Choi
Pages 7957-7965 |
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Compiling Bayesian Network Classifiers into Decision Graphs
Andy Shih, Arthur Choi, Adnan Darwiche
Pages 7966-7974 |
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Lifted Hinge-Loss Markov Random Fields
Sriram Srinivasan, Behrouz Babaki, Golnoosh Farnadi, Lise Getoor
Pages 7975-7983 |
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Counting and Sampling Markov Equivalent Directed Acyclic Graphs
Topi Talvitie, Mikko Koivisto
Pages 7984-7991 |
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Optimizing Discount and Reputation Trade-Offs in E-Commerce Systems: Characterization and Online Learning
Hong Xie, Yongkun Li, John C. S. Lui
Pages 7992-7999 |
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AAAI Technical Track: Robotics
Depth Prediction without the Sensors: Leveraging Structure for Unsupervised Learning from Monocular Videos
Vincent Casser, Soeren Pirk, Reza Mahjourian, Anelia Angelova
Pages 8001-8008 |
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MotionTransformer: Transferring Neural Inertial Tracking between Domains
Changhao Chen, Yishu Miao, Chris Xiaoxuan Lu, Linhai Xie, Phil Blunsom, Andrew Markham, Niki Trigoni
Pages 8009-8016 |
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Adversarial Actor-Critic Method for Task and Motion Planning Problems Using Planning Experience
Beomjoon Kim, Leslie Pack Kaelbling, Tomás Lozano-Pérez
Pages 8017-8024 |
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Mirroring without Overimitation: Learning Functionally Equivalent Manipulation Actions
Hangxin Liu, Chi Zhang, Yixin Zhu, Chenfanfu Jiang, Song-Chun Zhu
Pages 8025-8033 |
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Visual Place Recognition via Robustℓ2-Norm Distance Based Holism and Landmark Integration
Kai Liu, Hua Wang, Fei Han, Hao Zhang
Pages 8034-8041 |
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Deictic Image Mapping: An Abstraction for Learning Pose Invariant Manipulation Policies
Robert Platt, Colin Kohler, Marcus Gualtieri
Pages 8042-8049 |
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Personalized Robot Tutoring Using the Assistive Tutor POMDP (AT-POMDP)
Aditi Ramachandran, Sarah Strohkorb Sebo, Brian Scassellati
Pages 8050-8057 |
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That’s Mine! Learning Ownership Relations and Norms for Robots
Zhi-Xuan Tan, Jake Brawer, Brian Scassellati
Pages 8058-8065 |
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Probabilistic Model Checking of Robots Deployed in Extreme Environments
Xingyu Zhao, Valentin Robu, David Flynn, Fateme Dinmohammadi, Michael Fisher, Matt Webster
Pages 8066-8074 |
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AAAI Technical Track: Vision
TallyQA: Answering Complex Counting Questions
Manoj Acharya, Kushal Kafle, Christopher Kanan
Pages 8076-8084 |
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Densely Supervised Grasp Detector (DSGD)
Umar Asif, Jianbin Tang, Stefan Harrer
Pages 8085-8093 |
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Object Detection Based on Region Decomposition and Assembly
Seung-Hwan Bae
Pages 8094-8101 |
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BLOCK: Bilinear Superdiagonal Fusion for Visual Question Answering and Visual Relationship Detection
Hedi Ben-younes, Remi Cadene, Nicolas Thome, Matthieu Cord
Pages 8102-8109 |
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MR-NET: Exploiting Mutual Relation for Visual Relationship Detection
Yi Bin, Yang Yang, Chaofan Tao, Zi Huang, Jingjing Li, Heng Tao Shen
Pages 8110-8117 |
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Action Knowledge Transfer for Action Prediction with Partial Videos
Yijun Cai, Haoxin Li, Jian-Fang Hu, Wei-Shi Zheng
Pages 8118-8125 |
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GaitSet: Regarding Gait as a Set for Cross-View Gait Recognition
Hanqing Chao, Yiwei He, Junping Zhang, Jianfeng Feng
Pages 8126-8133 |
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Energy Confused Adversarial Metric Learning for Zero-Shot Image Retrieval and Clustering
Binghui Chen, Weihong Deng
Pages 8134-8141 |
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Improving Image Captioning with Conditional Generative Adversarial Nets
Chen Chen, Shuai Mu, Wanpeng Xiao, Zexiong Ye, Liesi Wu, Qi Ju
Pages 8142-8150 |
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Unsupervised Stylish Image Description Generation via Domain Layer Norm
Cheng-Kuan Chen, Zhufeng Pan, Ming-Yu Liu, Min Sun
Pages 8151-8158 |
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Unsupervised Meta-Learning of Figure-Ground Segmentation via Imitating Visual Effects
Ding-Jie Chen, Jui-Ting Chien, Hwann-Tzong Chen, Tyng-Luh Liu
Pages 8159-8166 |
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Temporal Deformable Convolutional Encoder-Decoder Networks for Video Captioning
Jingwen Chen, Yingwei Pan, Yehao Li, Ting Yao, Hongyang Chao, Tao Mei
Pages 8167-8174 |
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Localizing Natural Language in Videos
Jingyuan Chen, Lin Ma, Xinpeng Chen, Zequn Jie, Jiebo Luo
Pages 8175-8182 |
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Similarity Preserving Deep Asymmetric Quantization for Image Retrieval
Junjie Chen, William K. Cheung
Pages 8183-8190 |
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Motion Guided Spatial Attention for Video Captioning
Shaoxiang Chen, Yu-Gang Jiang
Pages 8191-8198 |
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Semantic Proposal for Activity Localization in Videos via Sentence Query
Shaoxiang Chen, Yu-Gang Jiang
Pages 8199-8206 |
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Unsupervised Bilingual Lexicon Induction from Mono-Lingual Multimodal Data
Shizhe Chen, Qin Jin, Alexander Hauptmann
Pages 8207-8214 |
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Learning Resolution-Invariant Deep Representations for Person Re-Identification
Yun-Chun Chen, Yu-Jhe Li, Xiaofei Du, Yu-Chiang Frank Wang
Pages 8215-8222 |
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Data Fine-Tuning
Saheb Chhabra, Puspita Majumdar, Mayank Vatsa, Richa Singh
Pages 8223-8230 |
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Selective Refinement Network for High Performance Face Detection
Cheng Chi, Shifeng Zhang, Junliang Xing, Zhen Lei, Stan Z. Li, Xudong Zou
Pages 8231-8238 |
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Residual Compensation Networks for Heterogeneous Face Recognition
Zhongying Deng, Xiaojiang Peng, Yu Qiao
Pages 8239-8246 |
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Attention-Aware Sampling via Deep Reinforcement Learning for Action Recognition
Wenkai Dong, Zhaoxiang Zhang, Tieniu Tan
Pages 8247-8254 |
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Learning a Deep Convolutional Network for Colorization in Monochrome-Color Dual-Lens System
Xuan Dong, Weixin Li, Xiaojie Wang, Yunhong Wang
Pages 8255-8262 |
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Cubic LSTMs for Video Prediction
Hehe Fan, Linchao Zhu, Yi Yang
Pages 8263-8270 |
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Fully Convolutional Video Captioning with Coarse-to-Fine and Inherited Attention
Kuncheng Fang, Lian Zhou, Cheng Jin, Yuejie Zhang, Kangnian Weng, Tao Zhang, Weiguo Fan
Pages 8271-8278 |
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MeshNet: Mesh Neural Network for 3D Shape Representation
Yutong Feng, Yifan Feng, Haoxuan You, Xibin Zhao, Yue Gao
Pages 8279-8286 |
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STA: Spatial-Temporal Attention for Large-Scale Video-Based Person Re-Identification
Yang Fu, Xiaoyang Wang, Yunchao Wei, Thomas Huang
Pages 8287-8294 |
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Horizontal Pyramid Matching for Person Re-Identification
Yang Fu, Yunchao Wei, Yuqian Zhou, Honghui Shi, Gao Huang, Xinchao Wang, Zhiqiang Yao, Thomas Huang
Pages 8295-8302 |
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I Know the Relationships: Zero-Shot Action Recognition via Two-Stream Graph Convolutional Networks and Knowledge Graphs
Junyu Gao, Tianzhu Zhang, Changsheng Xu
Pages 8303-8311 |
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Perceptual Pyramid Adversarial Networks for Text-to-Image Synthesis
Lianli Gao, Daiyuan Chen, Jingkuan Song, Xing Xu, Dongxiang Zhang, Heng Tao Shen
Pages 8312-8319 |
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Deliberate Attention Networks for Image Captioning
Lianli Gao, Kaixuan Fan, Jingkuan Song, Xianglong Liu, Xing Xu, Heng Tao Shen
Pages 8320-8327 |
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Video Imprint Segmentation for Temporal Action Detection in Untrimmed Videos
Zhanning Gao, Le Wang, Qilin Zhang, Zhenxing Niu, Nanning Zheng, Gang Hua
Pages 8328-8335 |
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No-Reference Image Quality Assessment with Reinforcement Recursive List-Wise Ranking
Jie Gu, Gaofeng Meng, Cheng Da, Shiming Xiang, Chunhong Pan
Pages 8336-8343 |
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Projection Convolutional Neural Networks for 1-bit CNNs via Discrete Back Propagation
Jiaxin Gu, Ce Li, Baochang Zhang, Jungong Han, Xianbin Cao, Jianzhuang Liu, David Doermann
Pages 8344-8351 |
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Human Action Transfer Based on 3D Model Reconstruction
Shanyan Guan, Shuo Wen, Dexin Yang, Bingbing Ni, Wendong Zhang, Jun Tang, Xiaokang Yang
Pages 8352-8359 |
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Dual-View Ranking with Hardness Assessment for Zero-Shot Learning
Yuchen Guo, Guiguang Ding, Jungong Han, Xiaohan Ding, Sicheng Zhao, Zheng Wang, Chenggang Yan, Qionghai Dai
Pages 8360-8367 |
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Depthwise Convolution Is All You Need for Learning Multiple Visual Domains
Yunhui Guo, Yandong Li, Liqiang Wang, Tajana Rosing
Pages 8368-8375 |
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View Inter-Prediction GAN: Unsupervised Representation Learning for 3D Shapes by Learning Global Shape Memories to Support Local View Predictions
Zhizhong Han, Mingyang Shang, Yu-Shen Liu, Matthias Zwicker
Pages 8376-8384 |
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HSME: Hypersphere Manifold Embedding for Visible Thermal Person Re-Identification
Yi Hao, Nannan Wang, Jie Li, Xinbo Gao
Pages 8385-8392 |
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Read, Watch, and Move: Reinforcement Learning for Temporally Grounding Natural Language Descriptions in Videos
Dongliang He, Xiang Zhao, Jizhou Huang, Fu Li, Xiao Liu, Shilei Wen
Pages 8393-8400 |
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StNet: Local and Global Spatial-Temporal Modeling for Action Recognition
Dongliang He, Zhichao Zhou, Chuang Gan, Fu Li, Xiao Liu, Yandong Li, Limin Wang, Shilei Wen
Pages 8401-8408 |
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Mono3D++: Monocular 3D Vehicle Detection with Two-Scale 3D Hypotheses and Task Priors
Tong He, Stefano Soatto
Pages 8409-8416 |
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Non-Local Context Encoder: Robust Biomedical Image Segmentation against Adversarial Attacks
Xiang He, Sibei Yang, Guanbin Li, Haofeng Li, Huiyou Chang, Yizhou Yu
Pages 8417-8424 |
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Weighted Channel Dropout for Regularization of Deep Convolutional Neural Network
Saihui Hou, Zilei Wang
Pages 8425-8432 |
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Learning to Steer by Mimicking Features from Heterogeneous Auxiliary Networks
Yuenan Hou, Zheng Ma, Chunxiao Liu, Chen Change Loy
Pages 8433-8440 |
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Attention-Based Multi-Context Guiding for Few-Shot Semantic Segmentation
Tao Hu, Pengwan Yang, Chiliang Zhang, Gang Yu, Yadong Mu, Cees G. M. Snoek
Pages 8441-8448 |
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A Novel Framework for Robustness Analysis of Visual QA Models
Jia-Hong Huang, Cuong Duc Dao, Modar Alfadly, Bernard Ghanem
Pages 8449-8456 |
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Re2EMA: Regularized and Reinitialized Exponential Moving Average for Target Model Update in Object Tracking
Jianglei Huang, Wengang Zhou
Pages 8457-8464 |
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Hierarchically Structured Reinforcement Learning for Topically Coherent Visual Story Generation
Qiuyuan Huang, Zhe Gan, Asli Celikyilmaz, Dapeng Wu, Jianfeng Wang, Xiaodong He
Pages 8465-8472 |
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A Framework to Coordinate Segmentation and Recognition
Wei Huang, Huimin Yu, Weiwei Zheng, Jing Zhang
Pages 8473-8480 |
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3D Volumetric Modeling with Introspective Neural Networks
Wenlong Huang, Brian Lai, Weijian Xu, Zhuowen Tu
Pages 8481-8488 |
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Few-Shot Image and Sentence Matching via Gated Visual-Semantic Embedding
Yan Huang, Yang Long, Liang Wang
Pages 8489-8496 |
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Attentive Temporal Pyramid Network for Dynamic Scene Classification
Yuanjun Huang, Xianbin Cao, Xiantong Zhen, Jungong Han
Pages 8497-8504 |
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DeepCCFV: Camera Constraint-Free Multi-View Convolutional Neural Network for 3D Object Retrieval
Zhengyue Huang, Zhehui Zhao, Hengguang Zhou, Xibin Zhao, Yue Gao
Pages 8505-8512 |
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MLVCNN: Multi-Loop-View Convolutional Neural Network for 3D Shape Retrieval
Jianwen Jiang, Di Bao, Ziqiang Chen, Xibin Zhao, Yue Gao
Pages 8513-8520 |
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Image Saliency Prediction in Transformed Domain: A Deep Complex Neural Network Method
Lai Jiang, Zhe Wang, Mai Xu, Zulin Wang
Pages 8521-8528 |
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Video Object Detection with Locally-Weighted Deformable Neighbors
Zhengkai Jiang, Peng Gao, Chaoxu Guo, Qian Zhang, Shiming Xiang, Chunhong Pan
Pages 8529-8536 |
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Discriminative Feature Learning for Unsupervised Video Summarization
Yunjae Jung, Donghyeon Cho, Dahun Kim, Sanghyun Woo, In So Kweon
Pages 8537-8544 |
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Self-Supervised Video Representation Learning with Space-Time Cubic Puzzles
Dahun Kim, Donghyeon Cho, In So Kweon
Pages 8545-8552 |
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BiHMP-GAN: Bidirectional 3D Human Motion Prediction GAN
Jogendra Nath Kundu, Maharshi Gor, R. Venkatesh Babu
Pages 8553-8560 |
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Spatio-Temporal Graph Routing for Skeleton-Based Action Recognition
Bin Li, Xi Li, Zhongfei Zhang, Fei Wu
Pages 8561-8568 |
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SuperVAE: Superpixelwise Variational Autoencoder for Salient Object Detection
Bo Li, Zhengxing Sun, Yuqi Guo
Pages 8569-8576 |
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Gradient Harmonized Single-Stage Detector
Buyu Li, Yu Liu, Xiaogang Wang
Pages 8577-8584 |
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Skeleton-Based Gesture Recognition Using Several Fully Connected Layers with Path Signature Features and Temporal Transformer Module
Chenyang Li, Xin Zhang, Lufan Liao, Lianwen Jin, Weixin Yang
Pages 8585-8593 |
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Semantic Relationships Guided Representation Learning for Facial Action Unit Recognition
Guanbin Li, Xin Zhu, Yirui Zeng, Qing Wang, Liang Lin
Pages 8594-8601 |
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Heterogeneous Transfer Learning via Deep Matrix Completion with Adversarial Kernel Embedding
Haoliang Li, Sinno Jialin Pan, Renjie Wan, Alex C. Kot
Pages 8602-8609 |
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Show, Attend and Read: A Simple and Strong Baseline for Irregular Text Recognition
Hui Li, Peng Wang, Chunhua Shen, Guyu Zhang
Pages 8610-8617 |
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Multi-Scale 3D Convolution Network for Video Based Person Re-Identification
Jianing Li, Shiliang Zhang, Tiejun Huang
Pages 8618-8625 |
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Meta Learning for Image Captioning
Nannan Li, Zhenzhong Chen, Shan Liu
Pages 8626-8633 |
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Visual-Semantic Graph Reasoning for Pedestrian Attribute Recognition
Qiaozhe Li, Xin Zhao, Ran He, Kaiqi Huang
Pages 8634-8641 |
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Distribution Consistency Based Covariance Metric Networks for Few-Shot Learning
Wenbin Li, Jinglin Xu, Jing Huo, Lei Wang, Yang Gao, Jiebo Luo
Pages 8642-8649 |
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Learning Object Context for Dense Captioning
Xiangyang Li, Shuqiang Jiang, Jungong Han
Pages 8650-8657 |
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Beyond RNNs: Positional Self-Attention with Co-Attention for Video Question Answering
Xiangpeng Li, Jingkuan Song, Lianli Gao, Xianglong Liu, Wenbing Huang, Xiangnan He, Chuang Gan
Pages 8658-8665 |
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Robust Estimation of Similarity Transformation for Visual Object Tracking
Yang Li, Jianke Zhu, Steven C.H. Hoi, Wenjie Song, Zhefeng Wang, Hantang Liu
Pages 8666-8673 |
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Temporal Bilinear Networks for Video Action Recognition
Yanghao Li, Sijie Song, Yuqi Li, Jiaying Liu
Pages 8674-8681 |
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Angular Triplet-Center Loss for Multi-View 3D Shape Retrieval
Zhaoqun Li, Cheng Xu, Biao Leng
Pages 8682-8689 |
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Zero-Shot Object Detection with Textual Descriptions
Zhihui Li, Lina Yao, Xiaoqin Zhang, Xianzhi Wang, Salil Kanhere, Huaxiang Zhang
Pages 8690-8697 |
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PCGAN: Partition-Controlled Human Image Generation
Dong Liang, Rui Wang, Xiaowei Tian, Cong Zou
Pages 8698-8705 |
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Unsupervised Cross-Spectral Stereo Matching by Learning to Synthesize
Mingyang Liang, Xiaoyang Guo, Hongsheng Li, Xiaogang Wang, You Song
Pages 8706-8713 |
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Scene Text Recognition from Two-Dimensional Perspective
Minghui Liao, Jian Zhang, Zhaoyi Wan, Fengming Xie, Jiajun Liang, Pengyuan Lyu, Cong Yao, Xiang Bai
Pages 8714-8721 |
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Towards Optimal Discrete Online Hashing with Balanced Similarity
Mingbao Lin, Rongrong Ji, Hong Liu, Xiaoshuai Sun, Yongjian Wu, Yunsheng Wu
Pages 8722-8729 |
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Hypergraph Optimization for Multi-Structural Geometric Model Fitting
Shuyuan Lin, Guobao Xiao, Yan Yan, David Suter, Hanzi Wang
Pages 8730-8737 |
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A Bottom-Up Clustering Approach to Unsupervised Person Re-Identification
Yutian Lin, Xuanyi Dong, Liang Zheng, Yan Yan, Yi Yang
Pages 8738-8745 |
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Learning Neural Bag-of-Matrix-Summarization with Riemannian Network
Hong Liu, Jie Li, Yongjian Wu, Rongrong Ji
Pages 8746-8753 |
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Optimal Projection Guided Transfer Hashing for Image Retrieval
Ji Liu, Lei Zhang
Pages 8754-8761 |
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Joint Dynamic Pose Image and Space Time Reversal for Human Action Recognition from Videos
Mengyuan Liu, Fanyang Meng, Chen Chen, Songtao Wu
Pages 8762-8769 |
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DDFlow: Learning Optical Flow with Unlabeled Data Distillation
Pengpeng Liu, Irwin King, Michael R. Lyu, Jia Xu
Pages 8770-8777 |
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Point2Sequence: Learning the Shape Representation of 3D Point Clouds with an Attention-Based Sequence to Sequence Network
Xinhai Liu, Zhizhong Han, Yu-Shen Liu, Matthias Zwicker
Pages 8778-8785 |
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Spatial and Temporal Mutual Promotion for Video-Based Person Re-Identification
Yiheng Liu, Zhenxun Yuan, Wengang Zhou, Houqiang Li
Pages 8786-8793 |
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Deep Video Frame Interpolation Using Cyclic Frame Generation
Yu-Lun Liu, Yi-Tung Liao, Yen-Yu Lin, Yung-Yu Chuang
Pages 8794-8802 |
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Detect or Track: Towards Cost-Effective Video Object Detection/Tracking
Hao Luo, Wenxuan Xie, Xinggang Wang, Wenjun Zeng
Pages 8803-8810 |
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Recognizing Unseen Attribute-Object Pair with Generative Model
Zhixiong Nan, Yang Liu, Nanning Zheng, Song-Chun Zhu
Pages 8811-8818 |
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CAPNet: Continuous Approximation Projection for 3D Point Cloud Reconstruction Using 2D Supervision
K. L. Navaneet, Priyanka Mandikal, Mayank Agarwal, R. Venkatesh Babu
Pages 8819-8826 |
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Dual Semi-Supervised Learning for Facial Action Unit Recognition
Guozhu Peng, Shangfei Wang
Pages 8827-8834 |
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Learning Attribute-Specific Representations for Visual Tracking
Yuankai Qi, Shengping Zhang, Weigang Zhang, Li Su, Qingming Huang, Ming-Hsuan Yang
Pages 8835-8842 |
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Weakly Supervised Scene Parsing with Point-Based Distance Metric Learning
Rui Qian, Yunchao Wei, Honghui Shi, Jiachen Li, Jiaying Liu, Thomas Huang
Pages 8843-8850 |
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MonoGRNet: A Geometric Reasoning Network for Monocular 3D Object Localization
Zengyi Qin, Jinglu Wang, Yan Lu
Pages 8851-8858 |
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Backbone Cannot Be Trained at Once: Rolling Back to Pre-Trained Network for Person Re-Identification
Youngmin Ro, Jongwon Choi, Dae Ung Jo, Byeongho Heo, Jongin Lim, Jin Young Choi
Pages 8859-8867 |
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Almost Unsupervised Learning for Dense Crowd Counting
Deepak Babu Sam, Neeraj N Sajjan, Himanshu Maurya, R. Venkatesh Babu
Pages 8868-8875 |
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KVQA: Knowledge-Aware Visual Question Answering
Sanket Shah, Anand Mishra, Naganand Yadati, Partha Pratim Talukdar
Pages 8876-8884 |
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Connecting Language to Images: A Progressive Attention-Guided Network for Simultaneous Image Captioning and Language Grounding
Lingyun Song, Jun Liu, Buyue Qian, Yihe Chen
Pages 8885-8892 |
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Towards Highly Accurate and Stable Face Alignment for High-Resolution Videos
Ying Tai, Yicong Liang, Xiaoming Liu, Lei Duan, Jilin Li, Chengjie Wang, Feiyue Huang, Yu Chen
Pages 8893-8900 |
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A Layer-Based Sequential Framework for Scene Generation with GANs
Mehmet Ozgur Turkoglu, William Thong, Luuk Spreeuwers, Berkay Kicanaoglu
Pages 8901-8908 |
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Hierarchical Photo-Scene Encoder for Album Storytelling
Bairui Wang, Lin Ma, Wei Zhang, Wenhao Jiang, Feng Zhang
Pages 8909-8916 |
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Robust Deep Co-Saliency Detection with Group Semantic
Chong Wang, Zheng-Jun Zha, Dong Liu, Hongtao Xie
Pages 8917-8924 |
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Learning Basis Representation to Refine 3D Human Pose Estimations
Chunyu Wang, Haibo Qiu, Alan L. Yuille, Wenjun Zeng
Pages 8925-8932 |
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Spatial-Temporal Person Re-Identification
Guangcong Wang, Jianhuang Lai, Peigen Huang, Xiaohua Xie
Pages 8933-8940 |
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Deep Single-View 3D Object Reconstruction with Visual Hull Embedding
Hanqing Wang, Jiaolong Yang, Wei Liang, Xin Tong
Pages 8941-8948 |
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MVPNet: Multi-View Point Regression Networks for 3D Object Reconstruction from A Single Image
Jinglu Wang, Bo Sun, Yan Lu
Pages 8949-8956 |
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Hierarchical Attention Network for Image Captioning
Weixuan Wang, Zhihong Chen, Haifeng Hu
Pages 8957-8964 |
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Learning to Compose Topic-Aware Mixture of Experts for Zero-Shot Video Captioning
Xin Wang, Jiawei Wu, Da Zhang, Yu Su, William Yang Wang
Pages 8965-8972 |
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Sparse Adversarial Perturbations for Videos
Xingxing Wei, Jun Zhu, Sha Yuan, Hang Su
Pages 8973-8980 |
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Learning Non-Uniform Hypergraph for Multi-Object Tracking
Longyin Wen, Dawei Du, Shengkun Li, Xiao Bian, Siwei Lyu
Pages 8981-8988 |
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Graph CNNs with Motif and Variable Temporal Block for Skeleton-Based Action Recognition
Yu-Hui Wen, Lin Gao, Hongbo Fu, Fang-Lue Zhang, Shihong Xia
Pages 8989-8996 |
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Differential Networks for Visual Question Answering
Chenfei Wu, Jinlai Liu, Xiaojie Wang, Ruifan Li
Pages 8997-9004 |
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Disentangled Variational Representation for Heterogeneous Face Recognition
Xiang Wu, Huaibo Huang, Vishal M. Patel, Ran He, Zhenan Sun
Pages 9005-9012 |
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Multiple Saliency and Channel Sensitivity Network for Aggregated Convolutional Feature
Xuanlu Xiang, Zhipeng Wang, Zhicheng Zhao, Fei Su
Pages 9013-9020 |
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What and Where the Themes Dominate in Image
Xinyu Xiao, Lingfeng Wang, Shiming Xiang, Chunhong Pan
Pages 9021-9029 |
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Semantic Adversarial Network with Multi-Scale Pyramid Attention for Video Classification
De Xie, Cheng Deng, Hao Wang, Chao Li, Dapeng Tao
Pages 9030-9037 |
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Scene Text Detection with Supervised Pyramid Context Network
Enze Xie, Yuhang Zang, Shuai Shao, Gang Yu, Cong Yao, Guangyao Li
Pages 9038-9045 |
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DeRPN: Taking a Further Step toward More General Object Detection
Lele Xie, Yuliang Liu, Lianwen Jin, Zecheng Xie
Pages 9046-9053 |
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Residual Attribute Attention Network for Face Image Super-Resolution
Jingwei Xin, Nannan Wang, Xinbo Gao, Jie Li
Pages 9054-9061 |
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Multilevel Language and Vision Integration for Text-to-Clip Retrieval
Huijuan Xu, Kun He, Bryan A. Plummer, Leonid Sigal, Stan Sclaroff, Kate Saenko
Pages 9062-9069 |
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Segregated Temporal Assembly Recurrent Networks for Weakly Supervised Multiple Action Detection
Yunlu Xu, Chengwei Zhang, Zhanzhan Cheng, Jianwen Xie, Yi Niu, Shiliang Pu, Fei Wu
Pages 9070-9078 |
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A Dual Attention Network with Semantic Embedding for Few-Shot Learning
Shipeng Yan, Songyang Zhang, Xuming He
Pages 9079-9086 |
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Efficient Image Retrieval via Decoupling Diffusion into Online and Offline Processing
Fan Yang, Ryota Hinami, Yusuke Matsui, Steven Ly, Shin’ichi Satoh
Pages 9087-9094 |
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Learning a Visual Tracker from a Single Movie without Annotation
Lingxiao Yang, David Zhang, Lei Zhang
Pages 9095-9102 |
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Safeguarded Dynamic Label Regression for Noisy Supervision
Jiangchao Yao, Hao Wu, Ya Zhang, Ivor W. Tsang, Jun Sun
Pages 9103-9110 |
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Instance-Level Facial Attributes Transfer with Geometry-Aware Flow
Weidong Yin, Ziwei Liu, Chen Change Loy
Pages 9111-9118 |
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PVRNet: Point-View Relation Neural Network for 3D Shape Recognition
Haoxuan You, Yifan Feng, Xibin Zhao, Changqing Zou, Rongrong Ji, Yue Gao
Pages 9119-9126 |
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ActivityNet-QA: A Dataset for Understanding Complex Web Videos via Question Answering
Zhou Yu, Dejing Xu, Jun Yu, Ting Yu, Zhou Zhao, Yueting Zhuang, Dacheng Tao
Pages 9127-9134 |
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Spatial Mixture Models with Learnable Deep Priors for Perceptual Grouping
Jinyang Yuan, Bin Li, Xiangyang Xue
Pages 9135-9142 |
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Cycle-SUM: Cycle-Consistent Adversarial LSTM Networks for Unsupervised Video Summarization
Li Yuan, Francis EH Tay, Ping Li, Li Zhou, Jiashi Feng
Pages 9143-9150 |
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Tensor Ring Decomposition with Rank Minimization on Latent Space: An Efficient Approach for Tensor Completion
Longhao Yuan, Chao Li, Danilo Mandic, Jianting Cao, Qibin Zhao
Pages 9151-9158 |
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To Find Where You Talk: Temporal Sentence Localization in Video with Attention Based Location Regression
Yitian Yuan, Tao Mei, Wenwu Zhu
Pages 9159-9166 |
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Memory-Augmented Temporal Dynamic Learning for Action Recognition
Yuan Yuan, Dong Wang, Qi Wang
Pages 9167-9175 |
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ACM: Adaptive Cross-Modal Graph Convolutional Neural Networks for RGB-D Scene Recognition
Yuan Yuan, Zhitong Xiong, Qi Wang
Pages 9176-9184 |
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Large-Scale Visual Relationship Understanding
Ji Zhang, Yannis Kalantidis, Marcus Rohrbach, Manohar Paluri, Ahmed Elgammal, Mohamed Elhoseiny
Pages 9185-9194 |
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Multi-Attribute Transfer via Disentangled Representation
Jianfu Zhang, Yuanyuan Huang, Yaoyi Li, Weijie Zhao, Liqing Zhang
Pages 9195-9202 |
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Cousin Network Guided Sketch Recognition via Latent Attribute Warehouse
Kaihao Zhang, Wenhan Luo, Lin Ma, Hongdong Li
Pages 9203-9210 |
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Understanding Pictograph with Facial Features: End-to-End Sentence-Level Lip Reading of Chinese
Xiaobing Zhang, Haigang Gong, Xili Dai, Fan Yang, Nianbo Liu, Ming Liu
Pages 9211-9218 |
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Learning to Localize Objects with Noisy Labeled Instances
Xiaopeng Zhang, Yang Yang, Jiashi Feng
Pages 9219-9226 |
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Learning Transferable Self-Attentive Representations for Action Recognition in Untrimmed Videos with Weak Supervision
Xiao-Yu Zhang, Haichao Shi, Changsheng Li, Kai Zheng, Xiaobin Zhu, Lixin Duan
Pages 9227-9234 |
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Learning a Key-Value Memory Co-Attention Matching Network for Person Re-Identification
Yaqing Zhang, Xi Li, Zhongfei Zhang
Pages 9235-9242 |
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Learning Incremental Triplet Margin for Person Re-Identification
Yingying Zhang, Qiaoyong Zhong, Liang Ma, Di Xie, Shiliang Pu
Pages 9243-9250 |
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Look across Elapse: Disentangled Representation Learning and Photorealistic Cross-Age Face Synthesis for Age-Invariant Face Recognition
Jian Zhao, Yu Cheng, Yi Cheng, Yang Yang, Fang Zhao, Jianshu Li, Hengzhu Liu, Shuicheng Yan, Jiashi Feng
Pages 9251-9258 |
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M2Det: A Single-Shot Object Detector Based on Multi-Level Feature Pyramid Network
Qijie Zhao, Tao Sheng, Yongtao Wang, Zhi Tang, Ying Chen, Ling Cai, Haibin Ling
Pages 9259-9266 |
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3D Object Detection Using Scale Invariant and Feature Reweighting Networks
Xin Zhao, Zhe Liu, Ruolan Hu, Kaiqi Huang
Pages 9267-9274 |
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Recurrent Attention Model for Pedestrian Attribute Recognition
Xin Zhao, Liufang Sang, Guiguang Ding, Jungong Han, Na Di, Chenggang Yan
Pages 9275-9282 |
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Learning Fully Dense Neural Networks for Image Semantic Segmentation
Mingmin Zhen, Jinglu Wang, Lei Zhou, Tian Fang, Long Quan
Pages 9283-9290 |
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Towards Optimal Fine Grained Retrieval via Decorrelated Centralized Loss with Normalize-Scale Layer
Xiawu Zheng, Rongrong Ji, Xiaoshuai Sun, Baochang Zhang, Yongjian Wu, Feiyue Huang
Pages 9291-9298 |
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Talking Face Generation by Adversarially Disentangled Audio-Visual Representation
Hang Zhou, Yu Liu, Ziwei Liu, Ping Luo, Xiaogang Wang
Pages 9299-9306 |
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A Robust and Efficient Algorithm for the PnL Problem Using Algebraic Distance to Approximate the Reprojection Distance
Lipu Zhou, Yi Yang, Montiel Abello, Michael Kaess
Pages 9307-9315 |
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Free VQA Models from Knowledge Inertia by Pairwise Inconformity Learning
Yiyi Zhou, Rongrong Ji, Jinsong Su, Xiangming Li, Xiaoshuai Sun
Pages 9316-9323 |
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Dynamic Capsule Attention for Visual Question Answering
Yiyi Zhou, Rongrong Ji, Jinsong Su, Xiaoshuai Sun, Weiqiu Chen
Pages 9324-9331 |
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Singe Image Rain Removal with Unpaired Information: A Differentiable Programming Perspective
Hongyuan Zhu, Xi Peng, Joey Tianyi Zhou, Songfan Yang, Vijay Chanderasekh, Liyuan Li, Joo-Hwee Lim
Pages 9332-9339 |
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Deep Embedding Features for Salient Object Detection
Yunzhi Zhuge, Yu Zeng, Huchuan Lu
Pages 9340-9347 |
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Calibrated Stochastic Gradient Descent for Convolutional Neural Networks
Li’an Zhuo, Baochang Zhang, Chen Chen, Qixiang Ye, Jianzhuang Liu, David Doermann
Pages 9348-9355 |
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Innovative Applications Papers
IAAI Technical Papers: Deployed Papers
A Genetic Algorithm for Finding a Small and Diverse Set of Recent News Stories on a Given Subject: How We Generate AAAI’s AI-Alert
Joshua Eckroth, Eric Schoen
Pages 9357-9364 |
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Large Scale Personalized Categorization of Financial Transactions
Christopher Lesner, Alexander Ran, Marko Rukonic, Wei Wang
Pages 9365-9372 |
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Transforming Underwriting in the Life Insurance Industry
Marc Maier, Hayley Carlotto, Freddie Sanchez, Sherriff Balogun, Sears Merritt
Pages 9373-9380 |
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Automated Dispatch of Helpdesk Email Tickets: Pushing the Limits with AI
Atri Mandal, Nikhil Malhotra, Shivali Agarwal, Anupama Ray, Giriprasad Sridhara
Pages 9381-9388 |
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Grading Uncompilable Programs
Rohit Takhar, Varun Aggarwal
Pages 9389-9396 |
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IAAI Technical Papers: Emerging Papers
Remote Management of Boundary Protection Devices with Information Restrictions
Aaron Adler, Peter Samouelian, Michael Atighetchi, Yat Fu
Pages 9398-9403 |
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Linking Educational Resources on Data Science
José Luis Ambite, Jonathan Gordon, Lily Fierro, Gully Burns, Joel Mathew
Pages 9404-9409 |
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Early-Stopping of Scattering Pattern Observation with Bayesian Modeling
Akinori Asahara, Hidekazu Morita, Chiharu Mitsumata, Kanta Ono, Masao Yano, Tetsuya Shoji
Pages 9410-9415 |
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Querying NoSQL with Deep Learning to Answer Natural Language Questions
Sebastian Blank, Florian Wilhelm, Hans-Peter Zorn, Achim Rettinger
Pages 9416-9421 |
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Probabilistic-Logic Bots for Efficient Evaluation of Business Rules Using Conversational Interfaces
Joseph Bockhorst, Devin Conathan, Glenn M Fung
Pages 9422-9427 |
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Anomaly Detection Using Autoencoders in High Performance Computing Systems
Andrea Borghesi, Andrea Bartolini, Michele Lombardi, Michela Milano, Luca Benini
Pages 9428-9433 |
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A Fast Machine Learning Workflow for Rapid Phenotype Prediction from Whole Shotgun Metagenomes
Anna Paola Carrieri, Will PM Rowe, Martyn Winn, Edward O. Pyzer-Knapp
Pages 9434-9439 |
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Expert Guided Rule Based Prioritization of Scientifically Relevant Images for Downlinking over Limited Bandwidth from Planetary Orbiters
Srija Chakraborty, Subhasish Das, Ayan Banerjee, Sandeep K. S. Gupta, Philip R. Christensen
Pages 9440-9445 |
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DeBGUer: A Tool for Bug Prediction and Diagnosis
Amir Elmishali, Roni Stern, Meir Kalech
Pages 9446-9451 |
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Satellite Detection of Moving Vessels in Marine Environments
Natalie Fridman, Doron Amir, Yinon Douchan, Noa Agmon
Pages 9452-9459 |
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Automatic Generation of Chinese Short Product Titles for Mobile Display
Yu Gong, Xusheng Luo, Kenny Q. Zhu, Wenwu Ou, Zhao Li, Lu Duan
Pages 9460-9465 |
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Logistic Regression on Homomorphic Encrypted Data at Scale
Kyoohyung Han, Seungwan Hong, Jung Hee Cheon, Daejun Park
Pages 9466-9471 |
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A Machine Learning Suite for Machine Components’ Health-Monitoring
Ramin Hasani, Guodong Wang, Radu Grosu
Pages 9472-9477 |
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Leveraging Textual Specifications for Grammar-Based Fuzzing of Network Protocols
Samuel Jero, Maria Leonor Pacheco, Dan Goldwasser, Cristina Nita-Rotaru
Pages 9478-9483 |
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Novelty Detection for Multispectral Images with Application to Planetary Exploration
Hannah R Kerner, Danika F Wellington, Kiri L Wagstaff, James F Bell, Chiman Kwan, Heni Ben Amor
Pages 9484-9491 |
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Robust Multi-Object Detection Based on Data Augmentation with Realistic Image Synthesis for Point-of-Sale Automation
Saiprasad Koturwar, Soma Shiraishi, Kota Iwamoto
Pages 9492-9497 |
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VPDS: An AI-Based Automated Vehicle Occupancy and Violation Detection System
Abhinav Kumar, Aishwarya Gupta, Bishal Santra, KS Lalitha, Manasa Kolla, Mayank Gupta, Rishabh Singh
Pages 9498-9503 |
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Profiles, Proxies, and Assumptions: Decentralized, Communications-Resilient Planning, Allocation, and Scheduling
Ugur Kuter, Brian Kettler, Katherine Guo, Martin Hofmann, Valerie Champagne, Kurt Lachevet, Jennifer Lautenschlager, Robert P. Goldman, Luis Asencios, Josh Hamell
Pages 9504-9509 |
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Feature Isolation for Hypothesis Testing in Retinal Imaging: An Ischemic Stroke Prediction Case Study
Gilbert Lim, Zhan Wei Lim, Dejiang Xu, Daniel S.W. Ting, Tien Yin Wong, Mong Li Lee, Wynne Hsu
Pages 9510-9515 |
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Building Trust in Deep Learning System towards Automated Disease Detection
Zhan Wei Lim, Mong Li Lee, Wynne Hsu, Tien Yin Wong
Pages 9516-9521 |
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Ensemble Machine Learning for Estimating Fetal Weight at Varying Gestational Age
Yu Lu, Xi Zhang, Xianghua Fu, Fangxiong Chen, Kelvin K. L. Wong
Pages 9522-9527 |
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Bootstrapping Conversational Agents with Weak Supervision
Neil Mallinar, Abhishek Shah, Rajendra Ugrani, Ayush Gupta, Manikandan Gurusankar, Tin Kam Ho, Q. Vera Liao, Yunfeng Zhang, Rachel K.E. Bellamy, Robert Yates, Chris Desmarais, Blake McGregor
Pages 9528-9533 |
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Context-Tree Recommendation vs Matrix-Factorization: Algorithm Selection and Live Users Evaluation
Stéphane Martin, Boi Faltings, Vincent Schickel
Pages 9534-9540 |
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Amsterdam to Dublin Eventually Delayed? LSTM and Transfer Learning for Predicting Delays of Low Cost Airlines
Nicholas McCarthy, Mohammad Karzand, Freddy Lecue
Pages 9541-9546 |
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Tagging Address Queries in Maps Search
Shekoofeh Mokhtari, Ahmad Mahmoody, Dragomir Yankov, Ning Xie
Pages 9547-9551 |
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Identifying Semantics in Clinical Reports Using Neural Machine Translation
Srikanth Mujjiga, Vamsi Krishna, Kalyan Chakravarthi, Vijayananda J
Pages 9552-9557 |
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Artificial Counselor System for Stock Investment
Hadi NekoeiQachkanloo, Benyamin Ghojogh, Ali Saheb Pasand, Mark Crowley
Pages 9558-9564 |
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Separating Wheat from Chaff: Joining Biomedical Knowledge and Patient Data for Repurposing Medications
Galia Nordon, Gideon Koren, Varda Shalev, Eric Horvitz, Kira Radinsky
Pages 9565-9572 |
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Discovering Temporal Patterns from Insurance Interaction Data
Maleeha Qazi, Srinivas Tunuguntla, Peng Lee, Teja Kanchinadam, Glenn Fung, Neeraj Arora
Pages 9573-9580 |
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Enhancing Evolutionary Conversion Rate Optimization via Multi-Armed Bandit Algorithms
Xin Qiu, Risto Miikkulainen
Pages 9581-9588 |
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Inferring Concept Prerequisite Relations from Online Educational Resources
Sudeshna Roy, Meghana Madhyastha, Sheril Lawrence, Vaibhav Rajan
Pages 9589-9594 |
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Forecasting Intra-Hour Imbalances in Electric Power Systems
Tárik S. Salem, Karan Kathuria, Heri Ramampiaro, Helge Langseth
Pages 9595-9600 |
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Cleaning Noisy and Heterogeneous Metadata for Record Linking across Scholarly Big Datasets
Athar Sefid, Jian Wu, Allen C. Ge, Jing Zhao, Lu Liu, Cornelia Caragea, Prasenjit Mitra, C. Lee Giles
Pages 9601-9606 |
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DEFSI: Deep Learning Based Epidemic Forecasting with Synthetic Information
Lijing Wang, Jiangzhuo Chen, Madhav Marathe
Pages 9607-9612 |
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Early Detection of Vacant Parking Spaces Using Dashcam Videos
Ming-Che Wu, Mei-Chen Yeh
Pages 9613-9618 |
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eRevise: Using Natural Language Processing to Provide Formative Feedback on Text Evidence Usage in Student Writing
H. Zhang, A. Magooda, D. Litman, R. Correnti, E. Wang, L.C. Matsmura, E. Howe, R. Quintana
Pages 9619-9625 |
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EAAI Symposium Papers: Technical Papers
Determining Solvability in the Birds of a Feather Card Game
Shuto Araki, Juan Pablo Arenas Uribe, Zach Wilkerson, Steven Bogaerts, Chad Byers
Pages 9627-9634 |
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From Lab to Internship and Back Again: Learning Autonomous Systems through Creating a Research and Development Ecosystem
Trevor Bihl, Todd Jenkins, Chadwick Cox, Ashley DeMange, Kerry Hill, Edmund Zelnio
Pages 9635-9643 |
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A Lightweight Approach to Academic Research Group Management Using Online Tools: Spend More Time on Research and Less on Management
Eric Eaton
Pages 9644-9647 |
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Computational Intractability and Solvability for the Birds of a Feather Game
Richard Hoshino, Max Notarangelo
Pages 9648-9655 |
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Machine Learning Based Heuristic Search Algorithms to Solve Birds of a Feather Card Game
Bryon Kucharski, Azad Deihim, Mehmet Ergezer
Pages 9656-9661 |
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Get IT Scored Using AutoSAS — An Automated System for Scoring Short Answers
Yaman Kumar, Swati Aggarwal, Debanjan Mahata, Rajiv Ratn Shah, Ponnurangam Kumaraguru, Roger Zimmermann
Pages 9662-9669 |
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An Integrative Framework for Artificial Intelligence Education
Pat Langley
Pages 9670-9677 |
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Concept Extraction and Prerequisite Relation Learning from Educational Data
Weiming Lu, Yangfan Zhou, Jiale Yu, Chenhao Jia
Pages 9678-9685 |
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Efficient Solving of Birds of a Feather Puzzles
Todd W. Neller, Connor Berson, Jivan Kharel, Ryan Smolik
Pages 9686-9692 |
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Computer Generation of Birds of a Feather Puzzles
Todd W. Neller, Daniel Ziegler
Pages 9693-9699 |
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A Monte Carlo Tree Search Player for Birds of a Feather Solitaire
Christian Roberson, Katarina Sperduto
Pages 9700-9705 |
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A Neural Network Approach for Birds of a Feather Solvability Prediction
Benjamin Sang, Sejong Yoon
Pages 9706-9712 |
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Automatic Generation of Leveled Visual Assessments for Young Learners
Anjali Singh, Ruhi Sharma Mittal, Shubham Atreja, Mourvi Sharma, Seema Nagar, Prasenjit Dey, Mohit Jain
Pages 9713-9720 |
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Automating Analysis and Feedback to Improve Mathematics Teachers’ Classroom Discourse
Abhijit Suresh, Tamara Sumner, Jennifer Jacobs, Bill Foland, Wayne Ward
Pages 9721-9728 |
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PopBots: Designing an Artificial Intelligence Curriculum for Early Childhood Education
Randi Williams, Hae Won Park, Lauren Oh, Cynthia Breazeal
Pages 9729-9736 |
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A Preliminary Report of Integrating Science and Computing Teaching Using Logic Programming
Yuanlin Zhang, Jianlan Wang, Fox Bolduc, William G. Murray, Wendy Staffen
Pages 9737-9744 |
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EAAI Symposium Papers: Poster Papers
Artificial Intelligence Competencies for Data Science Undergraduate Curricula
Andrea Danyluk, Scott Buck
Pages 9746-9747 |
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Predicting Unsolvable Deals in the Birds of a Feather Solitaire Game
Richard Hoshino, Maximilian Kahn
Pages 9748-9749 |
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EAAI Symposium Papers: Model AI Assignments
Model AI Assignments 2019
Todd W. Neller, Raja Sooriamurthi, Michael Guerzhoy, Lisa Zhang, Paul Talaga, Christopher Archibald, Adam Summerville, Joseph Osborn, Cinjon Resnick, Avital Oliver, Surya Bhupatiraju, Kumar Krishna Agrawal, Nate Derbinsky, Elena Strange, Marion Neumann, Jonathan Chen, Zac Christensen, Michael Wollowski, Oscar Youngquist
Pages 9751-9753 |
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Senior Member Presentation Track Papers: Blue Sky Papers
Designing Preferences, Beliefs, and Identities for Artificial Intelligence
Vincent Conitzer
Pages 9755-9759 |
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Towards Fluid Machine Intelligence: Can We Make a Gifted AI?
Ian Davidson, Peter B. Walker
Pages 9760-9764 |
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Relating the Structure of a Problem and Its Explanation
Eugene C. Freuder
Pages 9765-9769 |
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Labor Division with Movable Walls: Composing Executable Specifications with Machine Learning and Search (Blue Sky Idea)
David Harel, Assaf Marron, Ariel Rosenfeld, Moshe Vardi, Gera Weiss
Pages 9770-9774 |
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Explainable, Normative, and Justified Agency
Pat Langley
Pages 9775-9779 |
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Meaningful Explanations of Black Box AI Decision Systems
Dino Pedreschi, Fosca Giannotti, Riccardo Guidotti, Anna Monreale, Salvatore Ruggieri, Franco Turini
Pages 9780-9784 |
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Building Ethically Bounded AI
Francesca Rossi, Nicholas Mattei
Pages 9785-9789 |
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Recommender Systems: A Healthy Obsession
Barry Smyth
Pages 9790-9794 |
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Envisioning AI for K-12: What Should Every Child Know about AI?
David Touretzky, Christina Gardner-McCune, Fred Martin, Deborah Seehorn
Pages 9795-9799 |
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Senior Member Presentation Track Papers: Summary Talks
Learning and the Unknown: Surveying Steps toward Open World Recognition
T. E. Boult, S. Cruz, A.R. Dhamija, M. Gunther, J. Henrydoss, W.J. Scheirer
Pages 9801-9807 |
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Performance Evaluation in Machine Learning: The Good, the Bad, the Ugly, and the Way Forward
Peter Flach
Pages 9808-9814 |
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Abstractive Summarization: A Survey of the State of the Art
Hui Lin, Vincent Ng
Pages 9815-9822 |
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Is Everything Going According to Plan? Expectations in Goal Reasoning Agents
Héctor Muñoz-Avila, Dustin Dannenhauer, Noah Reifsnyder
Pages 9823-9829 |
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Borda Count in Collective Decision Making: A Summary of Recent Results
Jörg Rothe
Pages 9830-9836 |
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Machine Learning with Crowdsourcing: A Brief Summary of the Past Research and Future Directions
Victor S. Sheng, Jing Zhang
Pages 9837-9843 |
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Demonstration Track Abstracts
The Rensselaer Mandarin Project — A Cognitive and Immersive Language Learning Environment
David Allen, Rahul R. Divekar, Jaimie Drozdal, Lilit Balagyozyan, Shuyue Zheng, Ziyi Song, Huang Zou, Jeramey Tyler, Xiangyang Mou, Rui Zhao, Helen Zhou, Jianling Yue, Jeffrey O. Kephart, Hui Su
Pages 9845-9846 |
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Proppy: A System to Unmask Propaganda in Online News
Alberto Barrón-Cedeño, Giovanni Da San Martino, Israa Jaradat, Preslav Nakov
Pages 9847-9848 |
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MAi: An Intelligent Model Acquisition Interface for Interactive Specification of Dialogue Agents
Tathagata Chakraborti, Christian Muise, Shubham Agarwal, Luis A. Lastras
Pages 9849-9850 |
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NeuroX: A Toolkit for Analyzing Individual Neurons in Neural Networks
Fahim Dalvi, Avery Nortonsmith, Anthony Bau, Yonatan Belinkov, Hassan Sajjad, Nadir Durrani, James Glass
Pages 9851-9852 |
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FRIDAYS: A Financial Risk Information Detecting and Analyzing System
Chi-Han Du, Yi-Shyuan Chiang, Kun-Che Tsai, Liang-Chih Liu, Ming-Feng Tsai, Chuan-Ju Wang
Pages 9853-9854 |
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Academic Reader: An Interactive Question Answering System on Academic Literatures
Yining Hong, Jialu Wang, Yuting Jia, Weinan Zhang, Xinbing Wang
Pages 9855-9856 |
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A General Planning-Based Framework for Goal-Driven Conversation Assistant
Zhuoxuan Jiang, Jie Ma, Jingyi Lu, Guangyuan Yu, Yipeng Yu, Shaochun Li
Pages 9857-9858 |
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Scientific Article Search System Based on Discourse Facet Representation
Yuta Kobayashi, Hiroyuki Shindo, Yuji Matsumoto
Pages 9859-9860 |
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QADiver: Interactive Framework for Diagnosing QA Models
Gyeongbok Lee, Sungdong Kim, Seung-won Hwang
Pages 9861-9862 |
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Global Remote Operation of Intelligent Space Robot Assistants
Daniel Leidner, Peter Schmaus, Florian Schmidt, Benedikt Pleintinger, Ralph Bayer, Adrian S. Bauer, Thomas Krueger, Neal Y. Lii
Pages 9863-9864 |
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Realtime Generation of Audible Textures Inspired by a Video Stream
Simone Mellace, Jérôme Guzzi, Alessandro Giusti, Luca M. Gambardella
Pages 9865-9866 |
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Demo: Learning to Perceive Long-Range Obstacles Using Self-Supervision from Short-Range Sensors
Mirko Nava, Jérôme Guzzi, R. Omar Chavez-Garcia, Luca M. Gambardella, Alessandro Giusti
Pages 9867-9868 |
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DBA: Dynamic Multi-Armed Bandit Algorithm
Sadegh Nobari
Pages 9869-9870 |
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Temporal Video Analyzer (TVAN): Efficient Temporal Video Analysis for Robust Video Description and Search
Daniel Rotman, Dror Porat, Yevgeny Burshtein, Udi Barzelay
Pages 9871-9872 |
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K3S: Knowledge-Driven Solution Support System
Yu Zhang, Morteza Saberi, Min Wang, Elizabeth Chang
Pages 9873-9874 |
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Doctoral Consortium Track Abstracts
A Theory of State Abstraction for Reinforcement Learning
David Abel
Pages 9876-9877 |
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Multi-Agent Coordination under Uncertain Communication
Nikhil Bhargava
Pages 9878-9879 |
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Adaptive Planning with Evidence Based Prediction for Improved Fluency in Routine Human-Robot Collaborative Tasks
Christopher K. Fourie
Pages 9880-9881 |
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Expressive Real-Time Intersection Scheduling
Rick Goldstein
Pages 9882-9883 |
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Reinforcement Learning for Improved Low Resource Dialogue Generation
Ana V. González-Garduño
Pages 9884-9885 |
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Counterfactual Reasoning in Observational Studies
Negar Hassanpour
Pages 9886-9887 |
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Using Automated Agents to Teach Negotiation
Emmanuel Johnson
Pages 9888-9889 |
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Learning Generalized Temporal Abstractions across Both Action and Perception
Khimya Khetarpal
Pages 9890-9891 |
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Multi-View Learning from Disparate Sources for Poverty Mapping
Neeti Pokhriyal
Pages 9892-9893 |
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Numerical Optimization to AI, and Back
Sathya N. Ravi
Pages 9894-9895 |
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Adaptive Modeling for Risk-Aware Decision Making
Sandhya Saisubramanian
Pages 9896-9897 |
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Parameterized Heuristics for Incomplete Weighted CSPs
Atena M. Tabakhi
Pages 9898-9899 |
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Imitation Learning from Observation
Faraz Torabi
Pages 9900-9901 |
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Verifiable and Interpretable Reinforcement Learning through Program Synthesis
Abhinav Verma
Pages 9902-9903 |
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Stochastic Goal Recognition Design
Christabel Wayllace
Pages 9904-9905 |
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Attention Guided Imitation Learning and Reinforcement Learning
Ruohan Zhang
Pages 9906-9907 |
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Student Abstracts
CommNets: Communicating Neural Network Architectures for Resource Constrained Systems
Prince M Abudu
Pages 9909-9910 |
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Identifying Android Malware Using Network-Based Approaches
Emily Alfs, Doina Caragea, Nathan Albin, Pietro Poggi-Corradini
Pages 9911-9912 |
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Learning Flexible Latent Representations via Encapsulated Variational Encoders
Wenjun Bai, Changqin Quan, Zhi-Wei Luo
Pages 9913-9914 |
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An SVM-Based Framework for Long-Term Learning Systems
Diana Benavides-Prado
Pages 9915-9916 |
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Partners in Crime: Manipulating the Deferred Acceptance Algorithm through an Accomplice
Theodora Bendlin, Hadi Hosseini
Pages 9917-9918 |
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Building Human-Machine Trust via Interpretability
Umang Bhatt, Pradeep Ravikumar, José M. F. Moura
Pages 9919-9920 |
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Matroid Constrained Fair Allocation Problem
Arpita Biswas, Siddharth Barman
Pages 9921-9922 |
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An Imperfect Algorithm for Coalition Structure Generation
Narayan Changder, Samir Aknine, Animesh Dutta
Pages 9923-9924 |
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Robust Principal Component Analysis-Based Infrared Small Target Detection
Qiwei Chen, Cheng Wu, Yiming Wang
Pages 9925-9926 |
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WAIS: Word Attention for Joint Intent Detection and Slot Filling
Sixuan Chen, Shuai Yu
Pages 9927-9928 |
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T-Center: A Novel Discriminative Feature Extraction Approach for Iris Recognition
Yifeng Chen, Cheng Wu, Yiming Wang
Pages 9929-9930 |
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Type Sequence Preserving Heterogeneous Information Network Embedding
Yuxin Chen, Tengjiao Wang, Wei Chen, Qiang Li, Zhen Qiu
Pages 9931-9932 |
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CSEye: A Proposed Solution for Accurate and Accessible One-to-Many Face Verification
Ameer Dharamshi, Rosie Yuyan Zou
Pages 9933-9934 |
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A Multi-Task Learning Approach for Answer Selection: A Study and a Chinese Law Dataset
Wenyu Du, Baocheng Li, Min Yang, Qiang Qu, Ying Shen
Pages 9935-9936 |
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A Meta-Learning Approach for Custom Model Training
Amir Erfan Eshratifar, Mohammad Saeed Abrishami, David Eigen, Massoud Pedram
Pages 9937-9938 |
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Reinforcement Learning under Threats
Victor Gallego, Roi Naveiro, David Rios Insua
Pages 9939-9940 |
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What’s Most Broken? A Tool to Assist Data-Driven Iterative Improvement of an Intelligent Tutoring System
Mononito Goswami, Shiven Mian, Jack Mostow
Pages 9941-9942 |
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WSD-GAN: Word Sense Disambiguation Using Generative Adversarial Networks
Zijian Hu, Fuli Luo, Yutong Tan, Wenxin Zeng, Zhifang Sui
Pages 9943-9944 |
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Higher-Order Multi-Layer Community Detection
Ling Huang, Chang-Dong Wang, Hong-Yang Chao
Pages 9945-9946 |
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AVS-Net: Automatic Visual Surveillance Using Relation Network
Sein Jang, Young-Ho Park, Aziz Nasridinov
Pages 9947-9948 |
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Dynamic Vehicle Traffic Control Using Deep Reinforcement Learning in Automated Material Handling System
Younkook Kang, Sungwon Lyu, Jeeyung Kim, Bongjoon Park, Sungzoon Cho
Pages 9949-9950 |
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Mind Your Language: Abuse and Offense Detection for Code-Switched Languages
Raghav Kapoor, Yaman Kumar, Kshitij Rajput, Rajiv Ratn Shah, Ponnurangam Kumaraguru, Roger Zimmermann
Pages 9951-9952 |
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A Dynamic Bayesian Network Based Merge Mechanism for Autonomous Vehicles
Kherroubi Zine el Abidine, Aknine Samir, Bacha Rebiha
Pages 9953-9954 |
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Learning Options with Interest Functions
Khimya Khetarpal, Doina Precup
Pages 9955-9956 |
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Variational BEJG Solvers for Marginal-MAP Inference with Accurate Approximation of B-Conditional Entropy
Igor Kiselev
Pages 9957-9958 |
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SAX Breakpoints for Random Forest Based Real-Time Contrast Control Chart
In-Seok Lee, Jun-Geol Baek
Pages 9959-9960 |
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Comparing Sample-Wise Learnability across Deep Neural Network Models
Seung-Geon Lee, Jaedeok Kim, Hyun-Joo Jung, Yoonsuck Choe
Pages 9961-9962 |
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Video-Based Sentiment Analysis with hvnLBP-TOP Feature and bi-LSTM
Haoran Li, Hua Xu
Pages 9963-9964 |
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Cross-Domain Recommendation via Coupled Factorization Machines
Lile Li, Quan Do, Wei Liu
Pages 9965-9966 |
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Efficient Neutrino Oscillation Parameter Inference with Gaussian Process
Lingge Li, Nitish Nayak, Jianming Bian, Pierre Baldi
Pages 9967-9968 |
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A Fuzzy Set Based Approach for Rating Bias
Mingming Li, Jiao Dai, Fuqing Zhu, Liangjun Zang, Songlin Hu, Jizhong Han
Pages 9969-9970 |
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Meta-Path Augmented Response Generation
Yanran Li, Wenjie Li
Pages 9971-9972 |
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Teaching Machines to Extract Main Content for Machine Reading Comprehension
Zhaohui Li, Yue Feng, Jun Xu, Jiafeng Guo, Yanyan Lan, Xueqi Cheng
Pages 9973-9974 |
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Location-Based End-to-End Speech Recognition with Multiple Language Models
Zhijie Lin, Kaiyang Lin, Shiling Chen, Linlin Li, Zhou Zhao
Pages 9975-9976 |
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Loss-Balanced Task Weighting to Reduce Negative Transfer in Multi-Task Learning
Shengchao Liu, Yingyu Liang, Anthony Gitter
Pages 9977-9978 |
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Deep Reinforcement Learning via Past-Success Directed Exploration
Xiaoming Liu, Zhixiong Xu, Lei Cao, Xiliang Chen, Kai Kang
Pages 9979-9980 |
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Jointly Multiple Hash Learning
Xingbo Liu, Xiushan Nie, Yingxin Wang, Yilong Yin
Pages 9981-9982 |
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Ethically Aligned Mobilization of Community Effort to Reposition Shared Bikes
Zelei Liu, Han Yu, Leye Wang, Liang Hu, Qiang Yang
Pages 9983-9984 |
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Towards to Reasonable Decision Basis in Automatic Bone X-Ray Image Classification: A Weakly-Supervised Approach
Jianjie Lu, Kai-yu Tong
Pages 9985-9986 |
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A Multi-Task Learning Framework for Abstractive Text Summarization
Yao Lu, Linqing Liu, Zhile Jiang, Min Yang, Randy Goebel
Pages 9987-9988 |
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The Level Weighted Structural Similarity Loss: A Step Away from MSE
Yingjing Lu
Pages 9989-9990 |
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Adaptive Optimization Framework for Control of Multi-Agent Systems
Anna Lukina
Pages 9991-9992 |
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Learning Document Embeddings with Crossword Prediction
Junyu Luo, Min Yang, Ying Shen, Qiang Qu, Haixia Chai
Pages 9993-9994 |
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Logic-Based Sequential Decision-Making
Daoming Lyu, Fangkai Yang, Bo Liu, Daesub Yoon
Pages 9995-9996 |
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On the Role of Syntactic Graph Convolutions for Identifying and Classifying Argument Components
Gaku Morio, Katsuhide Fujita
Pages 9997-9998 |
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Frontier Search and Plan Reconstruction in Oversubscription Planning
Daniel Muller
Pages 9999-10000 |
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An Improved Hierarchical Datastructure for Nearest Neighbor Search
Mengdie Nie, Zhi-Jie Wang, Chunjing Gan, Zhe Quan, Bin Yao, Jian Yin
Pages 10001-10002 |
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Regularizing Fully Convolutional Networks for Time Series Classification by Decorrelating Filters
Kaushal Paneri, Vishnu TV, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff
Pages 10003-10004 |
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A Feasibility Test on Preventing PRMDs Based on Deep Learning
So-Hyun Park, Sun-Young Ihm, Aziz Nasridinov, Young-Ho Park
Pages 10005-10006 |
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Strategic Tasks for Explainable Reinforcement Learning
Rey Pocius, Lawrence Neal, Alan Fern
Pages 10007-10008 |
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Learning Representations in Model-Free Hierarchical Reinforcement Learning
Jacob Rafati, David C. Noelle
Pages 10009-10010 |
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EWGAN: Entropy-Based Wasserstein GAN for Imbalanced Learning
Jinfu Ren, Yang Liu, Jiming Liu
Pages 10011-10012 |
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Emergency Department Online Patient-Caregiver Scheduling
Hanan Rosemarin, Ariel Rosenfeld, Sarit Kraus
Pages 10013-10014 |
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Learning to Transfer Relational Representations through Analogy
Gaetano Rossiello, Alfio Gliozzo, Michael Glass
Pages 10015-10016 |
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Towards Better Accuracy and Robustness with Localized Adversarial Training
Eitan Rothberg, Tingting Chen, Hao Ji
Pages 10017-10018 |
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Hierarchical Deep Feature Learning for Decoding Imagined Speech from EEG
Pramit Saha, Sidney Fels
Pages 10019-10020 |
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Implementation of Boolean AND and OR Logic Gates with Biologically Reasonable Time Constants in Spiking Neural Networks
Lakshay Sahni, Debasrita Chakraborty, Ashish Ghosh
Pages 10021-10022 |
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Lipper: Speaker Independent Speech Synthesis Using Multi-View Lipreading
Khwaja Mohd. Salik, Swati Aggarwal, Yaman Kumar, Rajiv Ratn Shah, Rohit Jain, Roger Zimmermann
Pages 10023-10024 |
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A Whole New Ball Game: Harvesting Game Data for Player Profiling
Ivan Samborskii, Aleksandr Farseev, Andrey Filchenkov, Tat-Seng Chua
Pages 10025-10026 |
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Towards Task Understanding in Visual Settings
Sebastin Santy, Wazeer Zulfikar, Rishabh Mehrotra, Emine Yilmaz
Pages 10027-10028 |
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Examining Political Trustworthiness through Text-Based Measures of Ideology
Eitan Sapiro-Gheiler
Pages 10029-10030 |
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Find a Reasonable Ending for Stories: Does Logic Relation Help the Story Cloze Test?
Mingyue Shang, Zhenxin Fu, Hongzhi Yin, Bo Tang, Dongyan Zhao, Rui Yan
Pages 10031-10032 |
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MIGAN: Malware Image Synthesis Using GANs
Abhishek Singh, Debojyoti Dutta, Amit Saha
Pages 10033-10034 |
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Desiderata for Interpretability: Explaining Decision Tree Predictions with Counterfactuals
Kacper Sokol, Peter Flach
Pages 10035-10036 |
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Towards Sequence-to-Sequence Reinforcement Learning for Constraint Solving with Constraint-Based Local Search
Helge Spieker
Pages 10037-10038 |
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Identifying Bottlenecks in Practical SAT-Based Model Finding for First-Order Logic Ontologies with Datasets
Shirly Stephen, Torsten Hahmann
Pages 10039-10040 |
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An Adaptive Framework for Conversational Question Answering
Lixin Su, Jiafeng Guo, Yixing Fan, Yanyan Lan, Ruqing Zhang, Xueqi Cheng
Pages 10041-10042 |
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Symmetrization for Embedding Directed Graphs
Jiankai Sun, Srinivasan Parthasarathy
Pages 10043-10044 |
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Parameterized Heuristics for Incomplete Weighted CSPs
Atena M. Tabakhi
Pages 10045-10046 |
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Semi-Supervised Learning for Electron Microscopy Image Segmentation
Eichi Takaya, Yusuke Takeichi, Mamiko Ozaki, Satoshi Kurihara
Pages 10047-10048 |
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An Optimal Rewiring Strategy for Cooperative Multiagent Social Learning
Hongyao Tang, Jianye Hao, Li Wang, Tim Baarslag, Zan Wang
Pages 10049-10050 |
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Binary Classifier Inspired by Quantum Theory
Prayag Tiwari, Massimo Melucci
Pages 10051-10052 |
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MaMiC: Macro and Micro Curriculum for Robotic Reinforcement Learning
Manan Tomar, Akhil Sathuluri, Balaraman Ravindran
Pages 10053-10054 |
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Robust Facial Landmark Localization Based on Two-Stage Cascaded Pose Regression
Ziye Tong, Junwei Zhou, Yanchao Yang, Lee-Ming Cheng
Pages 10055-10056 |
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Dynamically Identifying Deep Multimodal Features for Image Privacy Prediction
Ashwini Tonge, Cornelia Caragea
Pages 10057-10058 |
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Transductive Zero-Shot Learning via Visual Center Adaptation
Ziyu Wan, Yan Li, Min Yang, Junge Zhang
Pages 10059-10060 |
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Heterogeneous Attributed Network Embedding with Graph Convolutional Networks
Yueyang Wang, Ziheng Duan, Binbing Liao, Fei Wu, Yueting Zhuang
Pages 10061-10062 |
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Improving Full-Body Pose Estimation from a Small Sensor Set Using Artificial Neural Networks and a Kalman Filter
Frank J. Wouda, Matteo Giuberti, Giovanni Bellusci, Bert-Jan F. van Beijnum, Peter H. Veltink
Pages 10063-10064 |
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DSINE: Deep Structural Influence Learning via Network Embedding
Jianjun Wu, Ying Sha, Bo Jiang, Jianlong Tan
Pages 10065-10066 |
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Incorporating Context-Relevant Knowledge into Convolutional Neural Networks for Short Text Classification
Jingyun Xu, Yi Cai
Pages 10067-10068 |
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Towards Gene Function Prediction via Multi-Networks Representation Learning
Hansheng Xue, Jiajie Peng, Xuequn Shang
Pages 10069-10070 |
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Manifold Distance-Based Over-Sampling Technique for Class Imbalance Learning
Lingkai Yang, Yinan Guo, Jian Cheng
Pages 10071-10072 |
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APRP: An Anonymous Propagation Method in Bitcoin Network
Yuhang Yao, Xiao Zeng, Tianyue Cao, Luoyi Fu, Xinbing Wang
Pages 10073-10074 |
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Sequence to Sequence Learning for Query Expansion
Salah Zaiem, Fatiha Sadat
Pages 10075-10076 |
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Adversarial Framing for Image and Video Classification
Michał Zajac, Konrad Zołna, Negar Rostamzadeh, Pedro O. Pinheiro
Pages 10077-10078 |
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Computing Argumentative Explanations in Bipolar Argumentation Frameworks
Zhiwei Zeng, Chunyan Miao, Cyril Leung, Zhiqi Shen, Jing Jih Chin
Pages 10079-10080 |
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Geometric Multi-Model Fitting by Deep Reinforcement Learning
Zongliang Zhang, Hongbin Zeng, Jonathan Li, Yiping Chen, Chenhui Yang, Cheng Wang
Pages 10081-10082 |
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Semi-Supervised Feature Selection with Adaptive Discriminant Analysis
Weichan Zhong, Xiaojun Chen, Guowen Yuan, Yiqin Li, Feiping Nie
Pages 10083-10084 |
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Adaptation Strategies for Applying AWGN-Based Denoiser to Realistic Noise
Yuqian Zhou, Jianbo Jiao, Haibin Huang, Jue Wang, Thomas Huang
Pages 10085-10086 |
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Classifier-Agnostic Saliency Map Extraction
Konrad Zołna, Krzysztof J. Geras, Kyunghyun Cho
Pages 10087-10088 |
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