Proceedings of the AAAI Conference on Artificial Intelligence

Current Issue

Vol 33 (2019): Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence

Thirty-Third AAAI Conference on Artificial Intelligence
Thirty-First Conference on Innovative Applications of Artificial Intelligence
The Ninth Symposium on Educational Advances in Artificial Intelligence
Sponsored by the Association for the Advancement of Artificial Intelligence
January 27 – February 1, 2019, Hilton Hawaiian Village, Honolulu,Hawaii, USA

Published by AAAI Press, Palo Alto, California USA
Copyright © 2019, Association for the Advancement of Artificial Intelligence
All Rights Reserved

10,300 Pages
ISSN 2374-3468 (Online)
Volume 33 Number 1 (2019)

Print Version:
ISSN 2159-5399 (Print)
ISBN 978-1-57735-809-1

Published: 2019-07-23

AAAI Technical Track: AI and the Web

Incorporating Behavioral Constraints in Online AI Systems

Avinash Balakrishnan, Djallel Bouneffouf, Nicholas Mattei, Francesca Rossi

3-11
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Outlier Aware Network Embedding for Attributed Networks

Sambaran Bandyopadhyay, N. Lokesh, M. N. Murty

12-19
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Comparative Document Summarisation via Classification

Umanga Bista, Alexander Mathews, Minjeong Shin, Aditya Krishna Menon, Lexing Xie

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

29-36
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Improving One-Class Collaborative Filtering via Ranking-Based Implicit Regularizer

Jin Chen, Defu Lian, Kai Zheng

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

45-52
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Dynamic Explainable Recommendation Based on Neural Attentive Models

Xu Chen, Yongfeng Zhang, Zheng Qin

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

61-68
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TableSense: Spreadsheet Table Detection with Convolutional Neural Networks

Haoyu Dong, Shijie Liu, Shi Han, Zhouyu Fu, Dongmei Zhang

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

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

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

94-101
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Feature Sampling Based Unsupervised Semantic Clustering for Real Web Multi-View Content

Xiaolong Gong, Linpeng Huang, Fuwei Wang

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

110-117
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Anchors Bring Ease: An Embarrassingly Simple Approach to Partial Multi-View Clustering

Jun Guo, Jiahui Ye

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

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

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

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

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

160-167
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Crawling the Community Structure of Multiplex Networks

Ricky Laishram, Jeremy D. Wendt, Sucheta Soundarajan

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

176-183
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Supervised User Ranking in Signed Social Networks

Xiaoming Li, Hui Fang, Jie Zhang

184-191
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Personalized Question Routing via Heterogeneous Network Embedding

Zeyu Li, Jyun-Yu Jiang, Yizhou Sun, Wei Wang

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

200-207
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Discrete Social Recommendation

Chenghao Liu, Xin Wang, Tao Lu, Wenwu Zhu, Jianling Sun, Steven C. H. Hoi

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

216-223
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DTMT: A Novel Deep Transition Architecture for Neural Machine Translation

Fandong Meng, Jinchao Zhang

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

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

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

249-256
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Surveys without Questions: A Reinforcement Learning Approach

Atanu R Sinha, Deepali Jain, Nikhil Sheoran, Sopan Khosla, Reshmi Sasidharan

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

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

273-280
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Meimei: An Efficient Probabilistic Approach for Semantically Annotating Tables

Kunihiro Takeoka, Masafumi Oyamada, Shinji Nakadai, Takeshi Okadome

281-288
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DeepTileBars: Visualizing Term Distribution for Neural Information Retrieval

Zhiwen Tang, Grace Hui Yang

289-296
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Entity Alignment between Knowledge Graphs Using Attribute Embeddings

Bayu Distiawan Trisedya, Jianzhong Qi, Rui Zhang

297-304
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VistaNet: Visual Aspect Attention Network for Multimodal Sentiment Analysis

Quoc-Tuan Truong, Hady W. Lauw

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

313-320
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Community Detection in Social Networks Considering Topic Correlations

Yingkui Wang, Di Jin, Katarzyna Musial, Jianwu Dang

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

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

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

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

354-362
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Structured and Sparse Annotations for Image Emotion Distribution Learning

Haitao Xiong, Hongfu Liu, Bineng Zhong, Yun Fu

363-370
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Multi-Interactive Memory Network for Aspect Based Multimodal Sentiment Analysis

Nan Xu, Wenji Mao, Guandan Chen

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

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

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

395-402
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TransNFCM: Translation-Based Neural Fashion Compatibility Modeling

Xun Yang, Yunshan Ma, Lizi Liao, Meng Wang, Tat-Seng Chua

403-410
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Data Augmentation Based on Adversarial Autoencoder Handling Imbalance for Learning to Rank

Qian Yu, Wai Lam

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

419-426
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Text Assisted Insight Ranking Using Context-Aware Memory Network

Qi Zeng, Liangchen Luo, Wenhao Huang, Yang Tang

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

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

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

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

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

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

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

485-492
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Bias Reduction via End-to-End Shift Learning: Application to Citizen Science

Di Chen, Carla P. Gomes

493-500
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Coverage Centrality Maximization in Undirected Networks

Gianlorenzo D’Angelo, Martin Olsen, Lorenzo Severini

501-508
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Bayesian Fairness

Christos Dimitrakakis, Yang Liu, David C. Parkes, Goran Radanovic

509-516
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Understanding Dropouts in MOOCs

Wenzheng Feng, Jie Tang, Tracy Xiao Liu

517-524
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Blameworthiness in Multi-Agent Settings

Meir Friedenberg, Joseph Y. Halpern

525-532
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Optimal Surveillance of Covert Networks by Minimizing Inverse Geodesic Length

Serge Gaspers, Kamran Najeebullah

533-540
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Resisting Adversarial Attacks Using Gaussian Mixture Variational Autoencoders

Partha Ghosh, Arpan Losalka, Michael J. Black

541-548
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Migration as Submodular Optimization

Paul Gölz, Ariel D. Procaccia

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

557-564
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Selecting Compliant Agents for Opt-in Micro-Tolling

Josiah P. Hanna, Guni Sharon, Stephen D. Boyles, Peter Stone

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

573-581
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Learning Diffusions without Timestamps

Hao Huang, Qian Yan, Ting Gan, Di Niu, Wei Lu, Yunjun Gao

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

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

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

606-613
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Algorithms for Estimating Trends in Global Temperature Volatility

Arash Khodadadi, Daniel J. McDonald

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

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

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

639-646
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Deep Hierarchical Graph Convolution for Election Prediction from Geospatial Census Data

Mike Li, Elija Perrier, Chang Xu

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

655-662
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Convex Formulations for Fair Principal Component Analysis

Matt Olfat, Anil Aswani

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

671-678
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Image Aesthetic Assessment Assisted by Attributes through Adversarial Learning

Bowen Pan, Shangfei Wang, Qisheng Jiang

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

687-694
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Emergency Department Online Patient-Caregiver Scheduling

Hanan Rosemarin, Ariel Rosenfeld, Sarit Kraus

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

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

710-717
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Axiomatic Characterization of Data-Driven Influence Measures for Classification

Jakub Sliwinski, Martin Strobel, Yair Zick

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

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

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

742-749
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Knowledge Tracing Machines: Factorization Machines for Knowledge Tracing

Jill-Jenn Vie, Hisashi Kashima

750-757
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Forbidden Nodes Aware Community Search

Chaokun Wang, Junchao Zhu

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

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

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

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

791-800
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EnsNet: Ensconce Text in the Wild

Shuaitao Zhang, Yuliang Liu, Lianwen Jin, Yaoxiong Huang, Songxuan Lai

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

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

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

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

834-841
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Beyond Speech: Generalizing D-Vectors for Biometric Verification

Jacob Baldwin, Ryan Burnham, Andrew Meyer, Robert Dora, Robert Wright

842-849
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Deep Latent Generative Models for Energy Disaggregation

Gissella Bejarano, David DeFazio, Arti Ramesh

850-857
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Predicting Concrete and Abstract Entities in Modern Poetry

Fiammetta Caccavale, Anders Søgaard

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

865-872
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Region-Based Message Exploration over Spatio-Temporal Data Streams

Lisi Chen, Shuo Shang

873-880
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Deriving Subgoals Autonomously to Accelerate Learning in Sparse Reward Domains

Michael Dann, Fabio Zambetta, John Thangarajah

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

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

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

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

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

922-929
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Deep Reinforcement Learning for Syntactic Error Repair in Student Programs

Rahul Gupta, Aditya Kanade, Shirish Shevade

930-937
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Exploiting Sentence Embedding for Medical Question Answering

Yu Hao, Xien Liu, Ji Wu, Ping Lv

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

946-953
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Combo-Action: Training Agent For FPS Game with Auxiliary Tasks

Shiyu Huang, Hang Su, Jun Zhu, Ting Chen

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

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

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

978-985
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Traffic Updates: Saying a Lot While Revealing a Little

John Krumm, Eric Horvitz

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

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

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

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

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

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

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

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

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

1061-1068
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AffinityNet: Semi-Supervised Few-Shot Learning for Disease Type Prediction

Tianle Ma, Aidong Zhang

1069-1076
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Scalable Robust Kidney Exchange

Duncan C McElfresh, Hoda Bidkhori, John P Dickerson

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

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

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

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

1110-1117
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PhoneMD: Learning to Diagnose Parkinson’s Disease from Smartphone Data

Patrick Schwab, Walter Karlen

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

1126-1133
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The Kelly Growth Optimal Portfolio with Ensemble Learning

Weiwei Shen, Bin Wang, Jian Pu, Jun Wang

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

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

1150-1157
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Improving Search with Supervised Learning in Trick-Based Card Games

Christopher Solinas, Douglas Rebstock, Michael Buro

1158-1165
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Exploiting the Contagious Effect for Employee Turnover Prediction

Mingfei Teng, Hengshu Zhu, Chuanren Liu, Chen Zhu, Hui Xiong

1166-1173
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PerformanceNet: Score-to-Audio Music Generation with Multi-Band Convolutional Residual Network

Bryan Wang, Yi-Hsuan Yang

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

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

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

1198-1205
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Hierarchical Macro Strategy Model for MOBA Game AI

Bin Wu

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

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

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

1230-1237
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TET-GAN: Text Effects Transfer via Stylization and Destylization

Shuai Yang, Jiaying Liu, Wenjing Wang, Zongming Guo

1238-1245
- PDF
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

1246-1253
- PDF
MetaStyle: Three-Way Trade-off among Speed, Flexibility, and Quality in Neural Style Transfer

Chi Zhang, Yixin Zhu, Song-Chun Zhu

1254-1261
- PDF
Optimal Interdiction of Urban Criminals with the Aid of Real-Time Information

Youzhi Zhang, Qingyu Guo, Bo An, Long Tran-Thanh, Nicholas R. Jennings

1262-1269
- PDF
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

1270-1277
- PDF
SAFE: A Neural Survival Analysis Model for Fraud Early Detection

Panpan Zheng, Shuhan Yuan, Xintao Wu

1278-1285
- PDF
One-Class Adversarial Nets for Fraud Detection

Panpan Zheng, Shuhan Yuan, Xintao Wu, Jun Li, Aidong Lu

1286-1293
- PDF
DeepDPM: Dynamic Population Mapping via Deep Neural Network

Zefang Zong, Jie Feng, Kechun Liu, Hongzhi Shi, Yong Li

1294-1301
- PDF

AAAI Technical Track: Cognitive Modeling

Cognitive Deficit of Deep Learning in Numerosity

Xiaolin Wu, Xi Zhang, Xiao Shu

1303-1310
- PDF
Direct Training for Spiking Neural Networks: Faster, Larger, Better

Yujie Wu, Lei Deng, Guoqi Li, Jun Zhu, Yuan Xie, Luping Shi

1311-1318
- PDF
TDSNN: From Deep Neural Networks to Deep Spike Neural Networks with Temporal-Coding

Lei Zhang, Shengyuan Zhou, Tian Zhi, Zidong Du, Yunji Chen

1319-1326
- PDF
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

1327-1334
- PDF

AAAI Technical Track: Cognitive Systems

Human-Like Sketch Object Recognition via Analogical Learning

Kezhen Chen, Irina Rabkina, Matthew D. McLure, Kenneth D. Forbus

1336-1343
- PDF
Attentive Tensor Product Learning

Qiuyuan Huang, Li Deng, Dapeng Wu, Chang Liu, Xiaodong He

1344-1351
- PDF
Scalable Recollections for Continual Lifelong Learning

Matthew Riemer, Tim Klinger, Djallel Bouneffouf, Michele Franceschini

1352-1359
- PDF
Simulation-Based Approach to Efficient Commonsense Reasoning in Very Large Knowledge Bases

Abhishek Sharma, Keith M. Goolsbey

1360-1367
- PDF
Modelling Autobiographical Memory Loss across Life Span

Di Wang, Ah-Hwee Tan, Chunyan Miao, Ahmed A. Moustafa

1368-1375
- PDF

AAAI Technical Track: Computational Sustainability

Deep Bayesian Optimization on Attributed Graphs

Jiaxu Cui, Bo Yang, Xia Hu

1377-1384
- PDF
Interpretable Predictive Modeling for Climate Variables with Weighted Lasso

Sijie He, Xinyan Li, Vidyashankar Sivakumar, Arindam Banerjee

1385-1392
- PDF
A Deep Reinforcement Learning Framework for Rebalancing Dockless Bike Sharing Systems

Ling Pan, Qingpeng Cai, Zhixuan Fang, Pingzhong Tang, Longbo Huang

1393-1400
- PDF
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

1401-1408
- PDF
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

1409-1416
- PDF

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

1418-1426
- PDF
Clairvoyant Restarts in Branch-and-Bound Search Using Online Tree-Size Estimation

Daniel Anderson, Gregor Hendel, Pierre Le Bodic, Merlin Viernickel

1427-1434
- PDF
A SAT+CAS Approach to Finding Good Matrices: New Examples and Counterexamples

Curtis Bright, Dragomir Ž. Ðoković, Ilias Kotsireas, Vijay Ganesh

1435-1442
- PDF
Improving Optimization Bounds Using Machine Learning: Decision Diagrams Meet Deep Reinforcement Learning

Quentin Cappart, Emmanuel Goutierre, David Bergman, Louis-Martin Rousseau

1443-1451
- PDF
Model-Based Diagnosis of Hybrid Systems Using Satisfiability Modulo Theory

Alexander Diedrich, Alexander Maier, Oliver Niggemann

1452-1459
- PDF
On Geometric Alignment in Low Doubling Dimension

Hu Ding, Mingquan Ye

1460-1467
- PDF
A Nonconvex Projection Method for Robust PCA

Aritra Dutta, Filip Hanzely, Peter Richtàrik

1468-1476
- PDF
Solving Integer Quadratic Programming via Explicit and Structural Restrictions

Eduard Eiben, Robert Ganian, Dusan Knop, Sebastian Ordyniak

1477-1484
- PDF
Stochastic Submodular Maximization with Performance-Dependent Item Costs

Takuro Fukunaga, Takuya Konishi, Sumio Fujita, Ken-ichi Kawarabayashi

1485-1494
- PDF
Constraint-Based Sequential Pattern Mining with Decision Diagrams

Amin Hosseininasab, Willem-Jan van Hoeve, Andre A. Cire

1495-1502
- PDF
Faster Gradient-Free Proximal Stochastic Methods for Nonconvex Nonsmooth Optimization

Feihu Huang, Bin Gu, Zhouyuan Huo, Songcan Chen, Heng Huang

1503-1510
- PDF
Abduction-Based Explanations for Machine Learning Models

Alexey Ignatiev, Nina Narodytska, Joao Marques-Silva

1511-1519
- PDF
Separator-Based Pruned Dynamic Programming for Steiner Tree

Yoichi Iwata, Takuto Shigemura

1520-1527
- PDF
Asynchronous Delay-Aware Accelerated Proximal Coordinate Descent for Nonconvex Nonsmooth Problems

Ehsan Kazemi, Liqiang Wang

1528-1535
- PDF
A Recursive Algorithm for Projected Model Counting

Jean-Marie Lagniez, Pierre Marquis

1536-1543
- PDF
RSA: Byzantine-Robust Stochastic Aggregation Methods for Distributed Learning from Heterogeneous Datasets

Liping Li, Wei Xu, Tianyi Chen, Georgios B. Giannakis, Qing Ling

1544-1551
- PDF
Adaptive Proximal Average Based Variance Reducing Stochastic Methods for Optimization with Composite Regularization

Jingchang Liu, Linli Xu, Junliang Guo, Xin Sheng

1552-1559
- PDF
Automatic Construction of Parallel Portfolios via Explicit Instance Grouping

Shengcai Liu, Ke Tang, Xin Yao

1560-1567
- PDF
On Sampling Complexity of the Semidefinite Affine Rank Feasibility Problem

Igor Molybog, Javad Lavaei

1568-1575
- PDF
Revisiting Projection-Free Optimization for Strongly Convex Constraint Sets

Jarrid Rector-Brooks, Jun-Kun Wang, Barzan Mozafari

1576-1583
- PDF
A PSPACE Subclass of Dependency Quantified Boolean Formulas and Its Effective Solving

Christoph Scholl, Jie-Hong Roland Jiang, Ralf Wimmer, Aile Ge-Ernst

1584-1591
- PDF
BIRD: Engineering an Efficient CNF-XOR SAT Solver and Its Applications to Approximate Model Counting

Mate Soos, Kuldeep S. Meel

1592-1599
- PDF
Algorithms for Average Regret Minimization

Sabine Storandt, Stefan Funke

1600-1607
- PDF
Concurrency Debugging with MaxSMT

Miguel Terra-Neves, Nuno Machado, Ines Lynce, Vasco Manquinho

1608-1616
- PDF
Bayesian Functional Optimisation with Shape Prior

Pratibha Vellanki, Santu Rana, Sunil Gupta, David Rubin de Celis Leal, Alessandra Sutti, Murray Height, Svetha Venkatesh

1617-1624
- PDF
Learning Optimal Classification Trees Using a Binary Linear Program Formulation

Sicco Verwer, Yingqian Zhang

1625-1632
- PDF
Asynchronous Proximal Stochastic Gradient Algorithm for Composition Optimization Problems

Pengfei Wang, Risheng Liu, Nenggan Zheng, Zhefeng Gong

1633-1640
- PDF
Low-Rank Semidefinite Programming for the MAX2SAT Problem

Po-Wei Wang, J. Zico Kolter

1641-1649
- PDF
Task Embedded Coordinate Update: A Realizable Framework for Multivariate Non-Convex Optimization

Yiyang Wang, Risheng Liu, Long Ma, Xiaoliang Song

1650-1657
- PDF
Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization

Bryan Wilder, Bistra Dilkina, Milind Tambe

1658-1665
- PDF
Adding Constraints to Bayesian Inverse Problems

Jiacheng Wu, Jian-Xun Wang, Shawn C. Shadden

1666-1673
- PDF
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

1674-1681
- PDF
Generalized Batch Normalization: Towards Accelerating Deep Neural Networks

Xiaoyong Yuan, Zheng Feng, Matthew Norton, Xiaolin Li

1682-1689
- PDF

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

1691-1698
- PDF
Regular Boardgames

Jakub Kowalski, Maksymilian Mika, Jakub Sutowicz, Marek Szykuła

1699-1706
- PDF
3D Face Synthesis Driven by Personality Impression

Yining Lang, Wei Liang, Yujia Wang, Lap-Fai Yu

1707-1714
- PDF
Learning to Write Stories with Thematic Consistency and Wording Novelty

Juntao Li, Lidong Bing, Lisong Qiu, Dongmin Chen, Dongyan Zhao, Rui Yan

1715-1722
- PDF

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

1724-1731
- PDF
Fair Division with a Secretive Agent

Eshwar Ram Arunachaleswaran, Siddharth Barman, Nidhi Rathi

1732-1739
- PDF
Pareto Optimal Allocation under Compact Uncertain Preferences

Haris Aziz, Peter Biro, Ronald de Haan, Baharak Rastegari

1740-1747
- PDF
On the Proximity of Markets with Integral Equilibria

Siddharth Barman, Sanath Kumar Krishnamurthy

1748-1755
- PDF
Unknown Agents in Friends Oriented Hedonic Games: Stability and Complexity

Nathanaël Barrot, Kazunori Ota, Yuko Sakurai, Makoto Yokoo

1756-1763
- PDF
Generalized Distance Bribery

Dorothea Baumeister, Tobias Hogrebe, Lisa Rey

1764-1771
- PDF
From Recommendation Systems to Facility Location Games

Omer Ben-Porat, Gregory Goren, Itay Rosenberg, Moshe Tennenholtz

1772-1779
- PDF
Convergence of Learning Dynamics in Information Retrieval Games

Omer Ben-Porat, Itay Rosenberg, Moshe Tennenholtz

1780-1787
- PDF
Low-Distortion Social Welfare Functions

Gerdus Benadè, Ariel D. Procaccia, Mingda Qiao

1788-1795
- PDF
On Rational Delegations in Liquid Democracy

Daan Bloembergen, Davide Grossi, Martin Lackner

1796-1803
- PDF
Primarily about Primaries

Allan Borodin, Omer Lev, Nisarg Shah, Tyrone Strangway

1804-1811
- PDF
Walrasian Dynamics in Multi-Unit Markets

Simina Brânzei, Aris Filos-Ratsikas

1812-1819
- PDF
Fast Iterative Combinatorial Auctions via Bayesian Learning

Gianluca Brero, Sébastien Lahaie, Sven Seuken

1820-1828
- PDF
Solving Imperfect-Information Games via Discounted Regret Minimization

Noam Brown, Tuomas Sandholm

1829-1836
- PDF
Partial Verification as a Substitute for Money

Sofia Ceppi, Ian Kash, Rafael Frongillo

1837-1844
- PDF
Randomized Wagering Mechanisms

Yiling Chen, Yang Liu, Juntao Wang

1845-1852
- PDF
Group Fairness for the Allocation of Indivisible Goods

Vincent Conitzer, Rupert Freeman, Nisarg Shah, Jennifer Wortman Vaughan

1853-1860
- PDF
Solving Large Extensive-Form Games with Strategy Constraints

Trevor Davis, Kevin Waugh, Michael Bowling

1861-1868
- PDF
On the Complexity of the Inverse Semivalue Problem for Weighted Voting Games

Ilias Diakonikolas, Chrystalla Pavlou

1869-1876
- PDF
Balancing Relevance and Diversity in Online Bipartite Matching via Submodularity

John P. Dickerson, Karthik Abinav Sankararaman, Aravind Srinivasan, Pan Xu

1877-1884
- PDF
Online Pandora’s Boxes and Bandits

Hossein Esfandiari, MohammadTaghi HajiAghayi, Brendan Lucier, Michael Mitzenmacher

1885-1892
- PDF
Random Dictators with a Random Referee: Constant Sample Complexity Mechanisms for Social Choice

Brandon Fain, Ashish Goel, Kamesh Munagala, Nina Prabhu

1893-1900
- PDF
Approximation and Hardness of Shift-Bribery

Piotr Faliszewski, Pasin Manurangsi, Krzysztof Sornat

1901-1908
- PDF
How Similar Are Two Elections?

Piotr Faliszewski, Piotr Skowron, Arkadii Slinko, Stanisław Szufa, Nimrod Talmon

1909-1916
- PDF
Online Convex Optimization for Sequential Decision Processes and Extensive-Form Games

Gabriele Farina, Christian Kroer, Tuomas Sandholm

1917-1925
- PDF
An Improved Quasi-Polynomial Algorithm for Approximate Well-Supported Nash Equilibria

Michail Fasoulakis, Evangelos Markakis

1926-1932
- PDF
Very Hard Electoral Control Problems

Zack Fitzsimmons, Edith Hemaspaandra, Alexander Hoover, David E. Narváez

1933-1940
- PDF
Fair Knapsack

Till Fluschnik, Piotr Skowron, Mervin Triphaus, Kai Wilker

1941-1948
- PDF
A Bridge between Liquid and Social Welfare in Combinatorial Auctions with Submodular Bidders

Dimitris Fotakis, Kyriakos Lotidis, Chara Podimata

1949-1956
- PDF
An Equivalence between Wagering and Fair-Division Mechanisms

Rupert Freeman, David M. Pennock, Jennifer Wortman Vaughan

1957-1964
- PDF
Fair and Efficient Memory Sharing: Confronting Free Riders

Eric J. Friedman, Vasilis Gkatzelis, Christos-Alexandros Psomas, Scott Shenker

1965-1972
- PDF
Multi-Unit Bilateral Trade

Matthias Gerstgrasser, Paul W. Goldberg, Bart de Keijzer, Philip Lazos, Alexander Skopalik

1973-1980
- PDF
On the Distortion Value of the Elections with Abstention

Mohammad Ghodsi, Mohamad Latifian, Masoud Seddighin

1981-1988
- PDF
Pareto Efficient Auctions with Interest Rates

Gagan Goel, Vahab Mirrokni, Renato Paes Leme

1989-1995
- PDF
Deep Bayesian Trust: A Dominant and Fair Incentive Mechanism for Crowd

Naman Goel, Boi Faltings

1996-2003
- PDF
You Get What You Share: Incentives for a Sharing Economy

Sreenivas Gollapudi, Kostas Kollias, Debmalya Panigrahi

2004-2011
- PDF
Computing the Yolk in Spatial Voting Games without Computing Median Lines

Joachim Gudmundsson, Sampson Wong

2012-2019
- PDF
On the Inducibility of Stackelberg Equilibrium for Security Games

Qingyu Guo, Jiarui Gan, Fei Fang, Long Tran-Thanh, Milind Tambe, Bo An

2020-2028
- PDF
Solving Partially Observable Stochastic Games with Public Observations

Karel Horák, Branislav Bošanský

2029-2036
- PDF
Object Reachability via Swaps along a Line

Sen Huang, Mingyu Xiao

2037-2044
- PDF
Pareto-Optimal Allocation of Indivisible Goods with Connectivity Constraints

Ayumi Igarashi, Dominik Peters

2045-2052
- PDF
Forming Probably Stable Communities with Limited Interactions

Ayumi Igarashi, Jakub Sliwinski, Yair Zick

2053-2060
- PDF
Approximate Inference of Outcomes in Probabilistic Elections

Batya Kenig, Benny Kimelfeld

2061-2068
- PDF
“Reverse Gerrymandering”: Manipulation in Multi-Group Decision Making

Omer Lev, Yoad Lewenberg

2069-2076
- PDF
Heuristic Voting as Ordinal Dominance Strategies

Omer Lev, Reshef Meir, Svetlana Obraztsova, Maria Polukarov

2077-2084
- PDF
Cooperation Enforcement and Collusion Resistance in Repeated Public Goods Games

Kai Li, Dong Hao

2085-2092
- PDF
Revenue Enhancement via Asymmetric Signaling in Interdependent-Value Auctions

Zhuoshu Li, Sanmay Das

2093-2100
- PDF
Dynamic Contracting under Positive Commitment

Ilan Lobel, Renato Paes Leme

2101-2108
- PDF
When Do Envy-Free Allocations Exist?

Pasin Manurangsi, Warut Suksompong

2109-2116
- PDF
Quasi-Perfect Stackelberg Equilibrium

Alberto Marchesi, Gabriele Farina, Christian Kroer, Nicola Gatti, Tuomas Sandholm

2117-2124
- PDF
Optimal Dynamic Auctions Are Virtual Welfare Maximizers

Vahab Mirrokni, Renato Paes Leme, Pingzhong Tang, Song Zuo

2125-2132
- PDF
Deception in Finitely Repeated Security Games

Thanh H. Nguyen, Yongzhao Wang, Arunesh Sinha, Michael P. Wellman

2133-2140
- PDF
Fairly Allocating Many Goods with Few Queries

Hoon Oh, Ariel D. Procaccia, Warut Suksompong

2141-2148
- PDF
Learning Optimal Strategies to Commit To

Binghui Peng, Weiran Shen, Pingzhong Tang, Song Zuo

2149-2156
- PDF
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

2157-2164
- PDF
Mechanism Design for Multi-Type Housing Markets with Acceptable Bundles

Sujoy Sikdar, Sibel Adalı, Lirong Xia

2165-2172
- PDF
Learning Deviation Payoffs in Simulation-Based Games

Samuel Sokota, Caleb Ho, Bryce Wiedenbeck

2173-2180
- PDF
A Framework for Approval-Based Budgeting Methods

Nimrod Talmon, Piotr Faliszewski

2181-2188
- PDF
Practical Algorithms for Multi-Stage Voting Rules with Parallel Universes Tiebreaking

Jun Wang, Sujoy Sikdar, Tyler Shepherd, Zhibing Zhao, Chunheng Jiang, Lirong Xia

2189-2196
- PDF
Random Walk Decay Centrality

Tomasz Wąs, Talal Rahwan, Oskar Skibski

2197-2204
- PDF
Poll-Confident Voters in Iterative Voting

Anaëlle Wilczynski

2205-2212
- PDF
Defending Elections against Malicious Spread of Misinformation

Bryan Wilder, Yevgeniy Vorobeychik

2213-2220
- PDF
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

2221-2228
- PDF
A Better Algorithm for Societal Tradeoffs

Hanrui Zhang, Yu Cheng, Vincent Conitzer

2229-2236
- PDF
A PAC Framework for Aggregating Agents’ Judgments

Hanrui Zhang, Vincent Conitzer

2237-2244
- PDF
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

2245-2252
- PDF
Distributionally Adversarial Attack

Tianhang Zheng, Changyou Chen, Kui Ren

2253-2260
- PDF

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

2262-2271
- PDF
Greedy Maximization of Functions with Bounded Curvature under Partition Matroid Constraints

Tobias Friedrich, Andreas Göbel, Frank Neumann, Francesco Quinzan, Ralf Rothenberger

2272-2279
- PDF
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

2280-2287
- PDF
On the Optimal Efficiency of Cost-Algebraic A*

Robert C. Holte, Sandra Zilles

2288-2295
- PDF
Running Time Analysis of MOEA/D with Crossover on Discrete Optimization Problem

Zhengxin Huang, Yuren Zhou, Zefeng Chen, Xiaoyu He

2296-2303
- PDF
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

2304-2313
- PDF
Fine-Grained Search Space Classification for Hard Enumeration Variants of Subset Problems

Juho Lauri, Sourav Dutta

2314-2321
- PDF
On the Time Complexity of Algorithm Selection Hyper-Heuristics for Multimodal Optimisation

Andrei Lissovoi, Pietro S. Oliveto, John Alasdair Warwicker

2322-2329
- PDF
Evolving Action Abstractions for Real-Time Planning in Extensive-Form Games

Julian R. H. Mariño, Rubens O. Moraes, Claudio Toledo, Levi H. S. Lelis

2330-2337
- PDF
Real-Time Planning as Decision-Making under Uncertainty

Andrew Mitchell, Wheeler Ruml, Fabian Spaniol, Jorg Hoffmann, Marek Petrik

2338-2345
- PDF
Evolving Solutions to Community-Structured Satisfiability Formulas

Frank Neumann, Andrew M. Sutton

2346-2353
- PDF
Pareto Optimization for Subset Selection with Dynamic Cost Constraints

Vahid Roostapour, Aneta Neumann, Frank Neumann, Tobias Friedrich

2354-2361
- PDF
Stepping Stones to Inductive Synthesis of Low-Level Looping Programs

Christopher D. Rosin

2362-2370
- PDF
Allocating Planning Effort When Actions Expire

Shahaf S. Shperberg, Andrew Coles, Bence Cserna, Erez Karpas, Wheeler Ruml, Solomon E. Shimony

2371-2378
- PDF
Enriching Non-Parametric Bidirectional Search Algorithms

Shahaf S. Shperberg, Ariel Felner, Nathan R. Sturtevant, Solomon E. Shimony, Avi Hayoun

2379-2386
- PDF
Bounded Suboptimal Search with Learned Heuristics for Multi-Agent Systems

Markus Spies, Marco Todescato, Hannes Becker, Patrick Kesper, Nicolai Waniek, Meng Guo

2387-2394
- PDF
An Improved Generic Bet-and-Run Strategy with Performance Prediction for Stochastic Local Search

Thomas Weise, Zijun Wu, Markus Wagner

2395-2402
- PDF
Fuzzy-Classification Assisted Solution Preselection in Evolutionary Optimization

Aimin Zhou, Jinyuan Zhang, Jianyong Sun, Guixu Zhang

2403-2410
- PDF

AAAI Technical Track: Human-AI Collaboration

One-Network Adversarial Fairness

Tameem Adel, Isabel Valera, Zoubin Ghahramani, Adrian Weller

2412-2420
- PDF
Making Money from What You Know - How to Sell Information?

Shani Alkoby, Zihe Wang, David Sarne, Pingzhong Tang

2421-2428
- PDF
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

2429-2437
- PDF
Human-in-the-Loop Feature Selection

Alvaro H. C. Correia, Freddy Lecue

2438-2445
- PDF
Verifying Robustness of Gradient Boosted Models

Gil Einziger, Maayan Goldstein, Yaniv Sa’ar, Itai Segall

2446-2453
- PDF
Counterfactual Randomization: Rescuing Experimental Studies from Obscured Confounding

Andrew Forney, Elias Bareinboim

2454-2461
- PDF
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

2462-2470
- PDF
Task Transfer by Preference-Based Cost Learning

Mingxuan Jing, Xiaojian Ma, Wenbing Huang, Fuchun Sun, Huaping Liu

2471-2478
- PDF
A Unified Framework for Planning in Adversarial and Cooperative Environments

Anagha Kulkarni, Siddharth Srivastava, Subbarao Kambhampati

2479-2487
- PDF
RGBD Based Gaze Estimation via Multi-Task CNN

Dongze Lian, Ziheng Zhang, Weixin Luo, Lina Hu, Minye Wu, Zechao Li, Jingyi Yu, Shenghua Gao

2488-2495
- PDF
Deep Neural Networks Constrained by Decision Rules

Yuzuru Okajima, Kunihiko Sadamasa

2496-2505
- PDF
Geometry-Aware Face Completion and Editing

Linsen Song, Jie Cao, Lingxiao Song, Yibo Hu, Ran He

2506-2513
- PDF
Generation of Policy-Level Explanations for Reinforcement Learning

Nicholay Topin, Manuela Veloso

2514-2521
- PDF
Learning Models of Sequential Decision-Making with Partial Specification of Agent Behavior

Vaibhav V. Unhelkar, Julie A. Shah

2522-2530
- PDF
Augmenting Markov Decision Processes with Advising

Loïs Vanhée, Laurent Jeanpierre, Abdel-Illah Mouaddib

2531-2538
- PDF
FLEX: Faithful Linguistic Explanations for Neural Net Based Model Decisions

Sandareka Wickramanayake, Wynne Hsu, Mong Li Lee

2539-2546
- PDF
Interactive Semantic Parsing for If-Then Recipes via Hierarchical Reinforcement Learning

Ziyu Yao, Xiujun Li, Jianfeng Gao, Brian Sadler, Huan Sun

2547-2554
- PDF

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

2556-2563
- PDF
AI-Sketcher : A Deep Generative Model for Producing High-Quality Sketches

Nan Cao, Xin Yan, Yang Shi, Chaoran Chen

2564-2571
- PDF
Election with Bribed Voter Uncertainty: Hardness and Approximation Algorithm

Lin Chen, Lei Xu, Shouhuai Xu, Zhimin Gao, Weidong Shi

2572-2579
- PDF
Human Motion Prediction via Learning Local Structure Representations and Temporal Dependencies

Xiao Guo, Jongmoo Choi

2580-2587
- PDF
Lipper: Synthesizing Thy Speech Using Multi-View Lipreading

Yaman Kumar, Rohit Jain, Khwaja Mohd. Salik, Rajiv Ratn Shah, Yifang Yin, Roger Zimmermann

2588-2595
- PDF
Goal-Oriented Dialogue Policy Learning from Failures

Keting Lu, Shiqi Zhang, Xiaoping Chen

2596-2603
- PDF
Be Inaccurate but Don’t Be Indecisive: How Error Distribution Can Affect User Experience

Rafael R. Padovani, Lucas N. Ferreira, Levi H. S. Lelis

2604-2611
- PDF
Consensual Affine Transformations for Partial Valuation Aggregation

Hermann Schichl, Meinolf Sellmann

2612-2619
- PDF
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

2620-2627
- PDF

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

2629-2636
- PDF

AAAI Technical Track: Knowledge Representation and Reasoning

Satisfiability in Strategy Logic Can Be Easier than Model Checking

Erman Acar, Massimo Benerecetti, Fabio Mogavero

2638-2645
- PDF
Unbounded Orchestrations of Transducers for Manufacturing

Natasha Alechina, Tomáš Brázdil, Giuseppe De Giacomo, Paolo Felli, Brian Logan, Moshe Y. Vardi

2646-2653
- PDF
Relaxing and Restraining Queries for OBDA

Medina Andreşel, Yazmín Ibáñez-García, Magdalena Ortiz, Mantas Šimkus

2654-2661
- PDF
Certifying the True Error: Machine Learning in Coq with Verified Generalization Guarantees

Alexander Bagnall, Gordon Stewart

2662-2669
- PDF
Extension Removal in Abstract Argumentation – An Axiomatic Approach

Ringo Baumann, Gerhard Brewka

2670-2677
- PDF
Abstracting Causal Models

Sander Beckers, Joseph Y. Halpern

2678-2685
- PDF
Weighted Abstract Dialectical Frameworks through the Lens of Approximation Fixpoint Theory

Bart Bogaerts

2686-2693
- PDF
Enhancing Lazy Grounding with Lazy Normalization in Answer-Set Programming

Jori Bomanson, Tomi Janhunen, Antonius Weinzierl

2694-2702
- PDF
Learning Features and Abstract Actions for Computing Generalized Plans

Blai Bonet, Guillem Francès, Hector Geffner

2703-2710
- PDF
Ontology-Mediated Query Answering over Log-Linear Probabilistic Data

Stefan Borgwardt, İsmail İlkan Ceylan, Thomas Lukasiewicz

2711-2718
- PDF
Querying Attributed DL-Lite Ontologies Using Provenance Semirings

Camille Bourgaux, Ana Ozaki

2719-2726
- PDF
Model-Based Diagnosis for Cyber-Physical Production Systems Based on Machine Learning and Residual-Based Diagnosis Models

Andreas Bunte, Benno Stein, Oliver Niggemann

2727-2735
- PDF
From Horn-SRIQ to Datalog: A Data-Independent Transformation That Preserves Assertion Entailment

David Carral, Larry González, Patrick Koopmann

2736-2743
- PDF
Identification of Causal Effects in the Presence of Selection Bias

Juan D. Correa, Jin Tian, Elias Bareinboim

2744-2751
- PDF
Argumentation for Explainable Scheduling

Kristijonas Čyras, Dimitrios Letsios, Ruth Misener, Francesca Toni

2752-2759
- PDF
Approximate Stream Reasoning with Metric Temporal Logic under Uncertainty

Daniel de Leng, Fredrik Heintz

2760-2767
- PDF
ABox Abduction via Forgetting in ALC

Warren Del-Pinto, Renate A. Schmidt

2768-2775
- PDF
Qualitative Spatial Logic over 2D Euclidean Spaces Is Not Finitely Axiomatisable

Heshan Du, Natasha Alechina

2776-2783
- PDF
Validation of Growing Knowledge Graphs by Abductive Text Evidences

Jianfeng Du, Jeff Z. Pan, Sylvia Wang, Kunxun Qi, Yuming Shen, Yu Deng

2784-2791
- PDF
On Structured Argumentation with Conditional Preferences

Phan Minh Dung, Phan Minh Thang, Tran Cao Son

2792-2800
- PDF
Complexity of Abstract Argumentation under a Claim-Centric View

Wolfgang Dvořák, Stefan Woltran

2801-2808
- PDF
Strong Equivalence for Epistemic Logic Programs Made Easy

Wolfgang Faber, Michael Morak, Stefan Woltran

2809-2816
- PDF
Disjunctive Normal Form for Multi-Agent Modal Logics Based on Logical Separability

Liangda Fang, Kewen Wang, Zhe Wang, Ximing Wen

2817-2826
- PDF
Counting Complexity for Reasoning in Abstract Argumentation

Johannes K. Fichte, Markus Hecher, Arne Meier

2827-2834
- PDF
A Sequential Set Generation Method for Predicting Set-Valued Outputs

Tian Gao, Jie Chen, Vijil Chenthamarakshan, Michael Witbrock

2835-2842
- PDF
Forgetting in Modular Answer Set Programming

Ricardo Gonçalves, Tomi Janhunen, Matthias Knorr, João Leite, Stefan Woltran

2843-2850
- PDF
Partial Awareness

Joseph Y. Halpern, Evan Piermont

2851-2858
- PDF
Modular Materialisation of Datalog Programs

Pan Hu, Boris Motik, Ian Horrocks

2859-2866
- PDF
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

2867-2875
- PDF
Minimum Intervention Cover of a Causal Graph

Saravanan Kandasamy, Arnab Bhattacharyya, Vasant G. Honavar

2876-2885
- PDF
Knowledge Refinement via Rule Selection

Phokion G. Kolaitis, Lucian Popa, Kun Qian

2886-2894
- PDF
LENA: Locality-Expanded Neural Embedding for Knowledge Base Completion

Fanshuang Kong, Richong Zhang, Yongyi Mao, Ting Deng

2895-2902
- PDF
Ontology-Based Query Answering for Probabilistic Temporal Data

Patrick Koopmann

2903-2910
- PDF
Combining Deep Learning and Qualitative Spatial Reasoning to Learn Complex Structures from Sparse Examples with Noise

Nikhil Krishnaswamy, Scott Friedman, James Pustejovsky

2911-2918
- PDF
Representing and Learning Grammars in Answer Set Programming

Mark Law, Alessandra Russo, Elisa Bertino, Krysia Broda, Jorge Lobo

2919-2928
- PDF
Multi-Context System for Optimization Problems

Tiep Le, Tran Cao Son, Enrico Pontelli

2929-2937
- PDF
Reasoning over Assumption-Based Argumentation Frameworks via Direct Answer Set Programming Encodings

Tuomo Lehtonen, Johannes P. Wallner, Matti Järvisalo

2938-2945
- PDF
SAT-Based Explicit LTLf Satisfiability Checking

Jianwen Li, Kristin Y. Rozier, Geguang Pu, Yueling Zhang, Moshe Y. Vardi

2946-2953
- PDF
Implanting Rational Knowledge into Distributed Representation at Morpheme Level

Zi Lin, Yang Liu

2954-2961
- PDF
Complexity of Inconsistency-Tolerant Query Answering in Datalog+/– under Cardinality-Based Repairs

Thomas Lukasiewicz, Enrico Malizia, Andrius Vaicenavičius

2962-2969
- PDF
SDRL: Interpretable and Data-Efficient Deep Reinforcement Learning Leveraging Symbolic Planning

Daoming Lyu, Fangkai Yang, Bo Liu, Steven Gustafson

2970-2977
- PDF
Less but Better: Generalization Enhancement of Ordinal Embedding via Distributional Margin

Ke Ma, Qianqian Xu, Zhiyong Yang, Xiaochun Cao

2978-2985
- PDF
Group Decision Diagram (GDD): A Compact Representation for Permutations

Takanori Maehara, Yuma Inoue

2986-2994
- PDF
On Limited Conjunctions and Partial Features in Parameter-Tractable Feature Logics

Stephanie McIntyre, Alexander Borgida, David Toman, Grant Weddell

2995-3002
- PDF
Declarative Question Answering over Knowledge Bases Containing Natural Language Text with Answer Set Programming

Arindam Mitra, Peter Clark, Oyvind Tafjord, Chitta Baral

3003-3010
- PDF
Blameworthiness in Strategic Games

Pavel Naumov, Jia Tao

3011-3018
- PDF
Belief Change and Non-Monotonic Reasoning Sans Compactness

Jandson S. Ribeiro, Abhaya Nayak, Renata Wassermann

3019-3026
- PDF
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

3027-3035
- PDF
Efficient Concept Induction for Description Logics

Md Kamruzzaman Sarker, Pascal Hitzler

3036-3043
- PDF
An Open-World Extension to Knowledge Graph Completion Models

Haseeb Shah, Johannes Villmow, Adrian Ulges, Ulrich Schwanecke, Faisal Shafait

3044-3051
- PDF
Induction of Non-Monotonic Logic Programs to Explain Boosted Tree Models Using LIME

Farhad Shakerin, Gopal Gupta

3052-3059
- PDF
End-to-End Structure-Aware Convolutional Networks for Knowledge Base Completion

Chao Shang, Yun Tang, Jing Huang, Jinbo Bi, Xiaodong He, Bowen Zhou

3060-3067
- PDF
Amalgamating Knowledge towards Comprehensive Classification

Chengchao Shen, Xinchao Wang, Jie Song, Li Sun, Mingli Song

3068-3075
- PDF
Iterated Belief Base Revision: A Dynamic Epistemic Logic Approach

Marlo Souza, Álvaro Moreira, Renata Vieira

3076-3083
- PDF
Safe Partial Diagnosis from Normal Observations

Roni Stern, Brendan Juba

3084-3091
- PDF
Reasoning over Streaming Data in Metric Temporal Datalog

Przemysław Andrzej Wałęga, Mark Kaminski, Bernardo Cuenca Grau

3092-3099
- PDF
TransGate: Knowledge Graph Embedding with Shared Gate Structure

Jun Yuan, Neng Gao, Ji Xiang

3100-3107
- PDF
Recursively Learning Causal Structures Using Regression-Based Conditional Independence Test

Hao Zhang, Shuigeng Zhou, Chuanxu Yan, Jihong Guan, Xin Wang

3108-3115
- PDF
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

3116-3124
- PDF
On Completing Sparse Knowledge Base with Transitive Relation Embedding

Zili Zhou, Shaowu Liu, Guandong Xu, Wu Zhang

3125-3132
- PDF

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

3134-3142
- PDF
An Exponential Tail Bound for the Deleted Estimate

Karim Abou–Moustafa, Csaba Szepesvári

3143-3150
- PDF
Model Learning for Look-Ahead Exploration in Continuous Control

Arpit Agarwal, Katharina Muelling, Katerina Fragkiadaki

3151-3158
- PDF
Character-Level Language Modeling with Deeper Self-Attention

Rami Al-Rfou, Dokook Choe, Noah Constant, Mandy Guo, Llion Jones

3159-3166
- PDF
Attacking Data Transforming Learners at Training Time

Scott Alfeld, Ara Vartanian, Lucas Newman-Johnson, Benjamin I.P. Rubinstein

3167-3174
- PDF
Hyperprior Induced Unsupervised Disentanglement of Latent Representations

Abdul Fatir Ansari, Harold Soh

3175-3182
- PDF
Adversarial Label Learning

Chidubem Arachie, Bert Huang

3183-3190
- PDF
Robust Negative Sampling for Network Embedding

Mohammadreza Armandpour, Patrick Ding, Jianhua Huang, Xia Hu

3191-3198
- PDF
Random Feature Maps for the Itemset Kernel

Kyohei Atarashi, Subhransu Maji, Satoshi Oyama

3199-3206
- PDF
High Dimensional Clustering with r-nets

Georgia Avarikioti, Alain Ryser, Yuyi Wang, Roger Wattenhofer

3207-3214
- PDF
Mode Variational LSTM Robust to Unseen Modes of Variation: Application to Facial Expression Recognition

Wissam J. Baddar, Yong Man Ro

3215-3223
- PDF
Enhanced Random Forest Algorithms for Partially Monotone Ordinal Classification

Christopher Bartley, Wei Liu, Mark Reynolds

3224-3231
- PDF
Online Learning from Data Streams with Varying Feature Spaces

Ege Beyazit, Jeevithan Alagurajah, Xindong Wu

3232-3239
- PDF
CNN-Cert: An Efficient Framework for Certifying Robustness of Convolutional Neural Networks

Akhilan Boopathy, Tsui-Wei Weng, Pin-Yu Chen, Sijia Liu, Luca Daniel

3240-3247
- PDF
Deep Convolutional Sum-Product Networks

Cory J. Butz, Jhonatan S. Oliveira, André E. dos Santos, André L. Teixeira

3248-3255
- PDF
FRAME Revisited: An Interpretation View Based on Particle Evolution

Xu Cai, Yang Wu, Guanbin Li, Ziliang Chen, Liang Lin

3256-3263
- PDF
Dynamic Learning of Sequential Choice Bandit Problem under Marketing Fatigue

Junyu Cao, Wei Sun

3264-3271
- PDF
Adversarial Learning of Semantic Relevance in Text to Image Synthesis

Miriam Cha, Youngjune L. Gwon, H. T. Kung

3272-3279
- PDF
Towards Non-Saturating Recurrent Units for Modelling Long-Term Dependencies

Sarath Chandar, Chinnadhurai Sankar, Eugene Vorontsov, Samira Ebrahimi Kahou, Yoshua Bengio

3280-3287
- PDF
Disjoint Label Space Transfer Learning with Common Factorised Space

Xiaobin Chang, Yongxin Yang, Tao Xiang, Timothy M. Hospedales

3288-3295
- PDF
Joint Domain Alignment and Discriminative Feature Learning for Unsupervised Deep Domain Adaptation

Chao Chen, Zhihong Chen, Boyuan Jiang, Xinyu Jin

3296-3303
- PDF
Two-Stage Label Embedding via Neural Factorization Machine for Multi-Label Classification

Chen Chen, Haobo Wang, Weiwei Liu, Xingyuan Zhao, Tianlei Hu, Gang Chen

3304-3311
- PDF
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

3312-3320
- PDF
Distributionally Robust Semi-Supervised Learning for People-Centric Sensing

Kaixuan Chen, Lina Yao, Dalin Zhang, Xiaojun Chang, Guodong Long, Sen Wang

3321-3328
- PDF
Deep Neural Network Quantization via Layer-Wise Optimization Using Limited Training Data

Shangyu Chen, Wenya Wang, Sinno Jialin Pan

3329-3336
- PDF
EA-CG: An Approximate Second-Order Method for Training Fully-Connected Neural Networks

Sheng-Wei Chen, Chun-Nan Chou, Edward Y. Chang

3337-3346
- PDF
Data-Adaptive Metric Learning with Scale Alignment

Shuo Chen, Chen Gong, Jian Yang, Ying Tai, Le Hui, Jun Li

3347-3354
- PDF
A Layer Decomposition-Recomposition Framework for Neuron Pruning towards Accurate Lightweight Networks

Weijie Chen, Yuan Zhang, Di Xie, Shiliang Pu

3355-3362
- PDF
Embedding Uncertain Knowledge Graphs

Xuelu Chen, Muhao Chen, Weijia Shi, Yizhou Sun, Carlo Zaniolo

3363-3370
- PDF
Tensor Decomposition for Multilayer Networks Clustering

Zitai Chen, Chuan Chen, Zibin Zheng, Yi Zhu

3371-3378
- PDF
Image Block Augmentation for One-Shot Learning

Zitian Chen, Yanwei Fu, Kaiyu Chen, Yu-Gang Jiang

3379-3386
- PDF
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

3387-3395
- PDF
Utilizing Class Information for Deep Network Representation Shaping

Daeyoung Choi, Wonjong Rhee

3396-3403
- PDF
Diverse Exploration via Conjugate Policies for Policy Gradient Methods

Andrew Cohen, Xingye Qiao, Lei Yu, Elliot Way, Xiangrong Tong

3404-3411
- PDF
Spatially Invariant Unsupervised Object Detection with Convolutional Neural Networks

Eric Crawford, Joelle Pineau

3412-3420
- PDF
Efficient Online Learning for Mapping Kernels on Linguistic Structures

Giovanni Da San Martino, Alessandro Sperduti, Fabio Aiolli, Alessandro Moschitti

3421-3428
- PDF
Learning Segmentation Masks with the Independence Prior

Songmin Dai, Xiaoqiang Li, Lu Wang, Pin Wu, Weiqin Tong, Yimin Chen

3429-3436
- PDF
Inverse Abstraction of Neural Networks Using Symbolic Interpolation

Sumanth Dathathri, Sicun Gao, Richard M. Murray

3437-3444
- PDF
Balanced Linear Contextual Bandits

Maria Dimakopoulou, Zhengyuan Zhou, Susan Athey, Guido Imbens

3445-3453
- PDF
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

3454-3461
- PDF
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

3462-3469
- PDF
On-Line Adaptative Curriculum Learning for GANs

Thang Doan, João Monteiro, Isabela Albuquerque, Bogdan Mazoure, Audrey Durand, Joelle Pineau, R. Devon Hjelm

3470-3477
- PDF
Multistream Classification with Relative Density Ratio Estimation

Bo Dong, Yang Gao, Swarup Chandra, Latifur Khan

3478-3485
- PDF
Single-Label Multi-Class Image Classification by Deep Logistic Regression

Qi Dong, Xiatian Zhu, Shaogang Gong

3486-3493
- PDF
How to Combine Tree-Search Methods in Reinforcement Learning

Yonathan Efroni, Gal Dalal, Bruno Scherrer, Shie Mannor

3494-3501
- PDF
Human-Like Delicate Region Erasing Strategy for Weakly Supervised Detection

Qing En, Lijuan Duan, Zhaoxiang Zhang, Xiang Bai, Yundong Zhang

3502-3509
- PDF
Controllable Image-to-Video Translation: A Case Study on Facial Expression Generation

Lijie Fan, Wenbing Huang, Chuang Gan, Junzhou Huang, Boqing Gong

3510-3517
- PDF
Partial Multi-Label Learning via Credible Label Elicitation

Jun-Peng Fang, Min-Ling Zhang

3518-3525
- PDF
Improved Knowledge Graph Embedding Using Background Taxonomic Information

Bahare Fatemi, Siamak Ravanbakhsh, David Poole

3526-3533
- PDF
Unsupervised Feature Selection by Pareto Optimization

Chao Feng, Chao Qian, Ke Tang

3534-3541
- PDF
Partial Label Learning with Self-Guided Retraining

Lei Feng, Bo An

3542-3549
- PDF
Collaboration Based Multi-Label Learning

Lei Feng, Bo An, Shuo He

3550-3557
- PDF
Hypergraph Neural Networks

Yifan Feng, Haoxuan You, Zizhao Zhang, Rongrong Ji, Yue Gao

3558-3565
- PDF
Transductive Bounds for the Multi-Class Majority Vote Classifier

Vasilii Feofanov, Emilie Devijver, Massih-Reza Amini

3566-3573
- PDF
The Goldilocks Zone: Towards Better Understanding of Neural Network Loss Landscapes

Stanislav Fort, Adam Scherlis

3574-3581
- PDF
Combined Reinforcement Learning via Abstract Representations

Vincent Francois-Lavet, Yoshua Bengio, Doina Precup, Joelle Pineau

3582-3589
- PDF
Efficient Data Point Pruning for One-Class SVM

Yasuhiro Fujiwara, Sekitoshi Kanai, Junya Arai, Yasutoshi Ida, Naonori Ueda

3590-3597
- PDF
Fully Convolutional Network with Multi-Step Reinforcement Learning for Image Processing

Ryosuke Furuta, Naoto Inoue, Toshihiko Yamasaki

3598-3605
- PDF
Bayesian Posterior Approximation via Greedy Particle Optimization

Futoshi Futami, Zhenghang Cui, Issei Sato, Masashi Sugiyama

3606-3613
- PDF
Towards Reliable Learning for High Stakes Applications

Jinyang Gao, Junjie Yao, Yingxia Shao

3614-3621
- PDF
Explainable Recommendation through Attentive Multi-View Learning

Jingyue Gao, Xiting Wang, Yasha Wang, Xing Xie

3622-3629
- PDF
Wasserstein Soft Label Propagation on Hypergraphs: Algorithm and Generalization Error Bounds

Tingran Gao, Shahab Asoodeh, Yi Huang, James Evans

3630-3637
- PDF
Incomplete Label Multi-Task Deep Learning for Spatio-Temporal Event Subtype Forecasting

Yuyang Gao, Liang Zhao, Lingfei Wu, Yanfang Ye, Hui Xiong, Chaowei Yang

3638-3646
- PDF
Off-Policy Deep Reinforcement Learning by Bootstrapping the Covariate Shift

Carles Gelada, Marc G. Bellemare

3647-3655
- PDF
Spatiotemporal Multi-Graph Convolution Network for Ride-Hailing Demand Forecasting

Xu Geng, Yaguang Li, Leye Wang, Lingyu Zhang, Qiang Yang, Jieping Ye, Yan Liu

3656-3663
- PDF
Counting and Sampling from Markov Equivalent DAGs Using Clique Trees

AmirEmad Ghassami, Saber Salehkaleybar, Negar Kiyavash, Kun Zhang

3664-3671
- PDF
Eliminating Latent Discrimination: Train Then Mask

Soheil Ghili, Ehsan Kazemi, Amin Karbasi

3672-3680
- PDF
Interpretation of Neural Networks Is Fragile

Amirata Ghorbani, Abubakar Abid, James Zou

3681-3688
- PDF
Using Benson’s Algorithm for Regularization Parameter Tracking

Joachim Giesen, Sӧren Laue, Andreas Lӧhne, Christopher Schneider

3689-3696
- PDF
Scalable and Efficient Pairwise Learning to Achieve Statistical Accuracy

Bin Gu, Zhouyuan Huo, Heng Huang

3697-3704
- PDF
AFS: An Attention-Based Mechanism for Supervised Feature Selection

Ning Gui, Danni Ge, Ziyin Hu

3705-3713
- PDF
MixUp as Locally Linear Out-of-Manifold Regularization

Hongyu Guo, Yongyi Mao, Richong Zhang

3714-3722
- PDF
Non-Autoregressive Neural Machine Translation with Enhanced Decoder Input

Junliang Guo, Xu Tan, Di He, Tao Qin, Linli Xu, Tie-Yan Liu

3723-3730
- PDF
Smooth Deep Image Generator from Noises

Tianyu Guo, Chang Xu, Boxin Shi, Chao Xu, Dacheng Tao

3731-3738
- PDF
Hybrid Reinforcement Learning with Expert State Sequences

Xiaoxiao Guo, Shiyu Chang, Mo Yu, Gerald Tesauro, Murray Campbell

3739-3746
- PDF
Distributional Semantics Meets Multi-Label Learning

Vivek Gupta, Rahul Wadbude, Nagarajan Natarajan, Harish Karnick, Prateek Jain, Piyush Rai

3747-3754
- PDF
Temporal Anomaly Detection: Calibrating the Surprise

Eyal Gutflaish, Aryeh Kontorovich, Sivan Sabato, Ofer Biller, Oded Sofer

3755-3762
- PDF
Efficient and Scalable Multi-Task Regression on Massive Number of Tasks

Xiao He, Francesco Alesiani, Ammar Shaker

3763-3770
- PDF
Knowledge Distillation with Adversarial Samples Supporting Decision Boundary

Byeongho Heo, Minsik Lee, Sangdoo Yun, Jin Young Choi

3771-3778
- PDF
Knowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons

Byeongho Heo, Minsik Lee, Sangdoo Yun, Jin Young Choi

3779-3787
- PDF
The SpectACl of Nonconvex Clustering: A Spectral Approach to Density-Based Clustering

Sibylle Hess, Wouter Duivesteijn, Philipp Honysz, Katharina Morik

3788-3795
- PDF
Multi-Task Deep Reinforcement Learning with PopArt

Matteo Hessel, Hubert Soyer, Lasse Espeholt, Wojciech Czarnecki, Simon Schmitt, Hado van Hasselt

3796-3803
- PDF
Interaction-Aware Factorization Machines for Recommender Systems

Fuxing Hong, Dongbo Huang, Ge Chen

3804-3811
- PDF
Learning Anytime Predictions in Neural Networks via Adaptive Loss Balancing

Hanzhang Hu, Debadeepta Dey, Martial Hebert, J. Andrew Bagnell

3812-3821
- PDF
Learning to Adaptively Scale Recurrent Neural Networks

Hao Hu, Liqiang Wang, Guo-Jun Qi

3822-3829
- PDF
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

3830-3837
- PDF
One-Pass Incomplete Multi-View Clustering

Menglei Hu, Songcan Chen

3838-3845
- PDF
Multi-Fidelity Automatic Hyper-Parameter Tuning via Transfer Series Expansion

Yi-Qi Hu, Yang Yu, Wei-Wei Tu, Qiang Yang, Yuqiang Chen, Wenyuan Dai

3846-3853
- PDF
Efficient Quantization for Neural Networks with Binary Weights and Low Bitwidth Activations

Kun Huang, Bingbing Ni, Xiaokang Yang

3854-3861
- PDF
Efficient Identification of Approximate Best Configuration of Training in Large Datasets

Silu Huang, Chi Wang, Bolin Ding, Surajit Chaudhuri

3862-3869
- PDF
Bootstrap Estimated Uncertainty of the Environment Model for Model-Based Reinforcement Learning

Wenzhen Huang, Junge Zhang, Kaiqi Huang

3870-3877
- PDF
Large-Scale Heterogeneous Feature Embedding

Xiao Huang, Qingquan Song, Fan Yang, Xia Hu

3878-3885
- PDF
Manifold-Valued Image Generation with Wasserstein Generative Adversarial Nets

Zhiwu Huang, Jiqing Wu, Luc Van Gool

3886-3893
- PDF
Inter-Class Angular Loss for Convolutional Neural Networks

Le Hui, Xiang Li, Chen Gong, Meng Fang, Joey Tianyi Zhou, Jian Yang

3894-3901
- PDF
Tensorial Change Analysis Using Probabilistic Tensor Regression

Tsuyoshi Idé

3902-3909
- PDF
Complex Moment-Based Supervised Eigenmap for Dimensionality Reduction

Akira Imakura, Momo Matsuda, Xiucai Ye, Tetsuya Sakurai

3910-3918
- PDF
Estimating the Causal Effect from Partially Observed Time Series

Akane Iseki, Yusuke Mukuta, Yoshitaka Ushiku, Tatsuya Harada

3919-3926
- PDF
TAPAS: Train-Less Accuracy Predictor for Architecture Search

R. Istrate, F. Scheidegger, G. Mariani, D. Nikolopoulos, C. Bekas, A. C. I. Malossi

3927-3934
- PDF
Neural Collective Graphical Models for Estimating Spatio-Temporal Population Flow from Aggregated Data

Tomoharu Iwata, Hitoshi Shimizu

3935-3942
- PDF
Meta-Descent for Online, Continual Prediction

Andrew Jacobsen, Matthew Schlegel, Cameron Linke, Thomas Degris, Adam White, Martha White

3943-3950
- PDF
Model-Free IRL Using Maximum Likelihood Estimation

Vinamra Jain, Prashant Doshi, Bikramjit Banerjee

3951-3958
- PDF
Classification with Costly Features Using Deep Reinforcement Learning

Jaromír Janisch, Tomáš Pevný, Viliam Lisý

3959-3966
- PDF
Tile2Vec: Unsupervised Representation Learning for Spatially Distributed Data

Neal Jean, Sherrie Wang, Anshul Samar, George Azzari, David Lobell, Stefano Ermon

3967-3974
- PDF
Multi-Dimensional Classification via kNN Feature Augmentation

Bin-Bin Jia, Min-Ling Zhang

3975-3982
- PDF
Joint Semi-Supervised Feature Selection and Classification through Bayesian Approach

Bingbing Jiang, Xingyu Wu, Kui Yu, Huanhuan Chen

3983-3990
- PDF
Fast Incremental SVDD Learning Algorithm with the Gaussian Kernel

Hansi Jiang, Haoyu Wang, Wenhao Hu, Deovrat Kakde, Arin Chaudhuri

3991-3998
- PDF
Non-Asymptotic Uniform Rates of Consistency for k-NN Regression

Heinrich Jiang

3999-4006
- PDF
Gaussian-Induced Convolution for Graphs

Jiatao Jiang, Zhen Cui, Chunyan Xu, Jian Yang

4007-4014
- PDF
SCFont: Structure-Guided Chinese Font Generation via Deep Stacked Networks

Yue Jiang, Zhouhui Lian, Yingmin Tang, Jianguo Xiao

4015-4022
- PDF
Estimating the Days to Success of Campaigns in Crowdfunding: A Deep Survival Perspective

Binbin Jin, Hongke Zhao, Enhong Chen, Qi Liu, Yong Ge

4023-4030
- PDF
DoPAMINE: Double-Sided Masked CNN for Pixel Adaptive Multiplicative Noise Despeckling

Sunghwan Joo, Sungmin Cha, Taesup Moon

4031-4038
- PDF
Precision-Recall versus Accuracy and the Role of Large Data Sets

Brendan Juba, Hai S. Le

4039-4048
- PDF
Dimension-Free Error Bounds from Random Projections

Ata Kabán

4049-4056
- PDF
Similarity Learning via Kernel Preserving Embedding

Zhao Kang, Yiwei Lu, Yuanzhang Su, Changsheng Li, Zenglin Xu

4057-4064
- PDF
Guided Dropout

Rohit Keshari, Richa Singh, Mayank Vatsa

4065-4072
- PDF
Mixture of Expert/Imitator Networks: Scalable Semi-Supervised Learning Framework

Shun Kiyono, Jun Suzuki, Kentaro Inui

4073-4081
- PDF
Exploiting Class Learnability in Noisy Data

Matthew Klawonn, Eric Heim, James Hendler

4082-4089
- PDF
Active Generative Adversarial Network for Image Classification

Quan Kong, Bin Tong, Martin Klinkigt, Yuki Watanabe, Naoto Akira, Tomokazu Murakami

4090-4097
- PDF
On-Line Learning of Linear Dynamical Systems: Exponential Forgetting in Kalman Filters

Mark Kozdoba, Jakub Marecek, Tigran Tchrakian, Shie Mannor

4098-4105
- PDF
Unsupervised Domain Adaptation by Matching Distributions Based on the Maximum Mean Discrepancy via Unilateral Transformations

Atsutoshi Kumagai, Tomoharu Iwata

4106-4113
- PDF
Multi-Source Neural Variational Inference

Richard Kurle, Stephan Günnemann, Patrick van der Smagt

4114-4121
- PDF
Unsupervised Domain Adaptation Based on Source-Guided Discrepancy

Seiichi Kuroki, Nontawat Charoenphakdee, Han Bao, Junya Honda, Issei Sato, Masashi Sugiyama

4122-4129
- PDF
TransConv: Relationship Embedding in Social Networks

Yi-Yu Lai, Jennifer Neville, Dan Goldwasser

4130-4138
- PDF
Accurate and Interpretable Factorization Machines

Liang Lan, Yu Geng

4139-4146
- PDF
Gradient-Based Inference for Networks with Output Constraints

Jay Yoon Lee, Sanket Vaibhav Mehta, Michael Wick, Jean-Baptiste Tristan, Jaime Carbonell

4147-4154
- PDF
Understanding Learned Models by Identifying Important Features at the Right Resolution

Kyubin Lee, Akshay Sood, Mark Craven

4155-4163
- PDF
Structural Causal Bandits with Non-Manipulable Variables

Sanghack Lee, Elias Bareinboim

4164-4172
- PDF
Communication-Efficient Stochastic Gradient MCMC for Neural Networks

Chunyuan Li, Changyou Chen, Yunchen Pu, Ricardo Henao, Lawrence Carin

4173-4180
- PDF
Lifted Proximal Operator Machines

Jia Li, Cong Fang, Zhouchen Lin

4181-4188
- PDF
From Zero-Shot Learning to Cold-Start Recommendation

Jingjing Li, Mengmeng Jing, Ke Lu, Lei Zhu, Yang Yang, Zi Huang

4189-4196
- PDF
X-DMM: Fast and Scalable Model Based Text Clustering

Linwei Li, Liangchen Guo, Zhenying He, Yinan Jing, X. Sean Wang

4197-4204
- PDF
Sign-Full Random Projections

Ping Li

4205-4212
- PDF
Robust Multi-Agent Reinforcement Learning via Minimax Deep Deterministic Policy Gradient

Shihui Li, Yi Wu, Xinyue Cui, Honghua Dong, Fei Fang, Stuart Russell

4213-4220
- PDF
Spectral Clustering in Heterogeneous Information Networks

Xiang Li, Ben Kao, Zhaochun Ren, Dawei Yin

4221-4228
- PDF
Learning Adaptive Random Features

Yanjun Li, Kai Zhang, Jun Wang, Sanjiv Kumar

4229-4236
- PDF
Towards Automated Semi-Supervised Learning

Yu-Feng Li, Hai Wang, Tong Wei, Wei-Wei Tu

4237-4244
- PDF
Learning Disentangled Representation with Pairwise Independence

Zejian Li, Yongchuan Tang, Wei Li, Yongxing He

4245-4252
- PDF
Exploiting Coarse-to-Fine Task Transfer for Aspect-Level Sentiment Classification

Zheng Li, Ying Wei, Yu Zhang, Xiang Zhang, Xin Li

4253-4260
- PDF
SepNE: Bringing Separability to Network Embedding

Ziyao Li, Liang Zhang, Guojie Song

4261-4268
- PDF
Collaborative, Dynamic and Diversified User Profiling

Shangsong Liang

4269-4276
- PDF
Learning Logistic Circuits

Yitao Liang, Guy Van den Broeck

4277-4286
- PDF
CircConv: A Structured Convolution with Low Complexity

Siyu Liao, Bo Yuan

4287-4294
- PDF
Evolutionary Manytasking Optimization Based on Symbiosis in Biocoenosis

Rung-Tzuo Liaw, Chuan-Kang Ting

4295-4303
- PDF
Non-Compensatory Psychological Models for Recommender Systems

Chen Lin, Xiaolin Shen, Si Chen, Muhua Zhu, Yanghua Xiao

4304-4311
- PDF
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

4312-4319
- PDF
MFPCA: Multiscale Functional Principal Component Analysis

Zhenhua Lin, Hongtu Zhu

4320-4327
- PDF
Learning Plackett-Luce Mixtures from Partial Preferences

Ao Liu, Zhibing Zhao, Chao Liao, Pinyan Lu, Lirong Xia

4328-4335
- PDF
Near-Neighbor Methods in Random Preference Completion

Ao Liu, Qiong Wu, Zhenming Liu, Lirong Xia

4336-4343
- PDF
Scale Invariant Fully Convolutional Network: Detecting Hands Efficiently

Dan Liu, Dawei Du, Libo Zhang, Tiejian Luo, Yanjun Wu, Feiyue Huang, Siwei Lyu

4344-4351
- PDF
Trust Region Evolution Strategies

Guoqing Liu, Li Zhao, Feidiao Yang, Jiang Bian, Tao Qin, Nenghai Yu, Tie-Yan Liu

4352-4359
- PDF
Learning Multi-Task Communication with Message Passing for Sequence Learning

Pengfei Liu, Jie Fu, Yue Dong, Xipeng Qiu, Jackie Chi Kit Cheung

4360-4367
- PDF
A Theoretically Guaranteed Deep Optimization Framework for Robust Compressive Sensing MRI

Risheng Liu, Yuxi Zhang, Shichao Cheng, Xin Fan, Zhongxuan Luo

4368-4375
- PDF
A Bandit Approach to Maximum Inner Product Search

Rui Liu, Tianyi Wu, Barzan Mozafari

4376-4383
- PDF
The Utility of Sparse Representations for Control in Reinforcement Learning

Vincent Liu, Raksha Kumaraswamy, Lei Le, Martha White

4384-4391
- PDF
Efficient and Effective Incomplete Multi-View Clustering

Xinwang Liu, Xinzhong Zhu, Miaomiao Li, Chang Tang, En Zhu, Jianping Yin, Wen Gao

4392-4399
- PDF
Ranking-Based Deep Cross-Modal Hashing

Xuanwu Liu, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Yazhou Ren, Maozu Guo

4400-4407
- PDF
Adaptive Sparse Confidence-Weighted Learning for Online Feature Selection

Yanbin Liu, Yan Yan, Ling Chen, Yahong Han, Yi Yang

4408-4415
- PDF
Active Sampling for Open-Set Classification without Initial Annotation

Zhao-Yang Liu, Sheng-Jun Huang

4416-4423
- PDF
GeniePath: Graph Neural Networks with Adaptive Receptive Paths

Ziqi Liu, Chaochao Chen, Longfei Li, Jun Zhou, Xiaolong Li, Le Song, Yuan Qi

4424-4431
- PDF
Guiding the One-to-One Mapping in CycleGAN via Optimal Transport

Guansong Lu, Zhiming Zhou, Yuxuan Song, Kan Ren, Yong Yu

4432-4439
- PDF
Super Sparse Convolutional Neural Networks

Yao Lu, Guangming Lu, Bob Zhang, Yuanrong Xu, Jinxing Li

4440-4447
- PDF
Block Belief Propagation for Parameter Learning in Markov Random Fields

You Lu, Zhiyuan Liu, Bert Huang

4448-4455
- PDF
Relation Structure-Aware Heterogeneous Information Network Embedding

Yuanfu Lu, Chuan Shi, Linmei Hu, Zhiyuan Liu

4456-4463
- PDF
Scaling-Up Split-Merge MCMC with Locality Sensitive Sampling (LSS)

Chen Luo, Anshumali Shrivastava

4464-4471
- PDF
Orthogonality-Promoting Dictionary Learning via Bayesian Inference

Lei Luo, Jie Xu, Cheng Deng, Heng Huang

4472-4479
- PDF
Robust Metric Learning on Grassmann Manifolds with Generalization Guarantees

Lei Luo, Jie Xu, Cheng Deng, Heng Huang

4480-4487
- PDF
Bias-Variance Trade-Off in Hierarchical Probabilistic Models Using Higher-Order Feature Interactions

Simon Luo, Mahito Sugiyama

4488-4495
- PDF
Distributed PageRank Computation: An Improved Theoretical Study

Siqiang Luo

4496-4503
- PDF
A Comparative Analysis of Expected and Distributional Reinforcement Learning

Clare Lyle, Marc G. Bellemare, Pablo Samuel Castro

4504-4511
- PDF
State-Augmentation Transformations for Risk-Sensitive Reinforcement Learning

Shuai Ma, Jia Yuan Yu

4512-4519
- PDF
LabelForest: Non-Parametric Semi-Supervised Learning for Activity Recognition

Yuchao Ma, Hassan Ghasemzadeh

4520-4527
- PDF
Complex Unitary Recurrent Neural Networks Using Scaled Cayley Transform

Kehelwala D. G. Maduranga, Kyle E. Helfrich, Qiang Ye

4528-4535
- PDF
The Curse of Concentration in Robust Learning: Evasion and Poisoning Attacks from Concentration of Measure

Saeed Mahloujifar, Dimitrios I. Diochnos, Mohammad Mahmoody

4536-4543
- PDF
A Distillation Approach to Data Efficient Individual Treatment Effect Estimation

Maggie Makar, Adith Swaminathan, Emre Kıcıman

4544-4551
- PDF
DyS: A Framework for Mixture Models in Quantification

André Maletzke, Denis dos Reis, Everton Cherman, Gustavo Batista

4552-4560
- PDF
Towards Better Interpretability in Deep Q-Networks

Raghuram Mandyam Annasamy, Katia Sycara

4561-4569
- PDF
Cost-Sensitive Learning to Rank

Ryan McBride, Ke Wang, Zhouyang Ren, Wenyuan Li

4570-4577
- PDF
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

4578-4585
- PDF
A Probabilistic Derivation of LASSO and L12-Norm Feature Selections

Di Ming, Chris Ding, Feiping Nie

4586-4593
- PDF
Cogra: Concept-Drift-Aware Stochastic Gradient Descent for Time-Series Forecasting

Kohei Miyaguchi, Hiroshi Kajino

4594-4601
- PDF
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

4602-4609
- PDF
ClusterGAN: Latent Space Clustering in Generative Adversarial Networks

Sudipto Mukherjee, Himanshu Asnani, Eugene Lin, Sreeram Kannan

4610-4617
- PDF
Subspace Selection via DR-Submodular Maximization on Lattices

So Nakashima, Takanori Maehara

4618-4625
- PDF
Number Sequence Prediction Problems for Evaluating Computational Powers of Neural Networks

Hyoungwook Nam, Segwang Kim, Kyomin Jung

4626-4633
- PDF
Efficient Counterfactual Learning from Bandit Feedback

Yusuke Narita, Shota Yasui, Kohei Yata

4634-4641
- PDF
Multigrid Backprojection Super–Resolution and Deep Filter Visualization

Pablo Navarrete Michelini, Hanwen Liu, Dan Zhu

4642-4650
- PDF
Biologically Motivated Algorithms for Propagating Local Target Representations

Alexander G. Ororbia, Ankur Mali

4651-4658
- PDF
Determinantal Reinforcement Learning

Takayuki Osogami, Rudy Raymond

4659-4666
- PDF
Non-Parametric Transformation Networks for Learning General Invariances from Data

Dipan K. Pal, Marios Savvides

4667-4674
- PDF
Policy Optimization with Model-Based Explorations

Feiyang Pan, Qingpeng Cai, An-Xiang Zeng, Chun-Xiang Pan, Qing Da, Hualin He, Qing He, Pingzhong Tang

4675-4682
- PDF
Compressing Recurrent Neural Networks with Tensor Ring for Action Recognition

Yu Pan, Jing Xu, Maolin Wang, Jinmian Ye, Fei Wang, Kun Bai, Zenglin Xu

4683-4690
- PDF
On Reinforcement Learning for Full-Length Game of StarCraft

Zhen-Jia Pang, Ruo-Ze Liu, Zhou-Yu Meng, Yi Zhang, Yang Yu, Tong Lu

4691-4698
- PDF
Adversarial Dropout for Recurrent Neural Networks

Sungrae Park, Kyungwoo Song, Mingi Ji, Wonsung Lee, Il-Chul Moon

4699-4706
- PDF
Trainable Undersampling for Class-Imbalance Learning

Minlong Peng, Qi Zhang, Xiaoyu Xing, Tao Gui, Xuanjing Huang, Yu-Gang Jiang, Keyu Ding, Zhigang Chen

4707-4714
- PDF
Exploiting Synthetically Generated Data with Semi-Supervised Learning for Small and Imbalanced Datasets

M. Peréz-Ortiz, P. Tiňo, R. Mantiuk, C. Hervás-Martínez

4715-4722
- PDF
Interpretable Preference Learning: A Game Theoretic Framework for Large Margin On-Line Feature and Rule Learning

Mirko Polato, Fabio Aiolli

4723-4730
- PDF
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

4731-4738
- PDF
Robust Optimization over Multiple Domains

Qi Qian, Shenghuo Zhu, Jiasheng Tang, Rong Jin, Baigui Sun, Hao Li

4739-4746
- PDF
Composite Binary Decomposition Networks

You Qiaoben, Zheng Wang, Jianguo Li, Yinpeng Dong, Yu-Gang Jiang, Jun Zhu

4747-4754
- PDF
Nearest-Neighbour-Induced Isolation Similarity and Its Impact on Density-Based Clustering

Xiaoyu Qin, Kai Ming Ting, Ye Zhu, Vincent CS Lee

4755-4762
- PDF
Training Complex Models with Multi-Task Weak Supervision

Alexander Ratner, Braden Hancock, Jared Dunnmon, Frederic Sala, Shreyash Pandey, Christopher Ré

4763-4771
- PDF
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

4772-4779
- PDF
Regularized Evolution for Image Classifier Architecture Search

Esteban Real, Alok Aggarwal, Yanping Huang, Quoc V. Le

4780-4789
- PDF
On Fair Cost Sharing Games in Machine Learning

Ievgen Redko, Charlotte Laclau

4790-4797
- PDF
Deep Recurrent Survival Analysis

Kan Ren, Jiarui Qin, Lei Zheng, Zhengyu Yang, Weinan Zhang, Lin Qiu, Yong Yu

4798-4805
- PDF
RepeatNet: A Repeat Aware Neural Recommendation Machine for Session-Based Recommendation

Pengjie Ren, Zhumin Chen, Jing Li, Zhaochun Ren, Jun Ma, Maarten de Rijke

4806-4813
- PDF
Devil in the Details: Towards Accurate Single and Multiple Human Parsing

Tao Ruan, Ting Liu, Zilong Huang, Yunchao Wei, Shikui Wei, Yao Zhao

4814-4821
- PDF
Latent Multi-Task Architecture Learning

Sebastian Ruder, Joachim Bingel, Isabelle Augenstein, Anders Søgaard

4822-4829
- PDF
How Many Pairwise Preferences Do We Need to Rank a Graph Consistently?

Aadirupa Saha, Rakesh Shivanna, Chiranjib Bhattacharyya

4830-4837
- PDF
Covariate Shift Adaptation on Learning from Positive and Unlabeled Data

Tomoya Sakai, Nobuyuki Shimizu

4838-4845
- PDF
Granger-Causal Attentive Mixtures of Experts: Learning Important Features with Neural Networks

Patrick Schwab, Djordje Miladinovic, Walter Karlen

4846-4853
- PDF
Congestion Graphs for Automated Time Predictions

Arik Senderovich, J. Christopher Beck, Avigdor Gal, Matthias Weidlich

4854-4861
- PDF
Unsupervised Learning with Contrastive Latent Variable Models

Kristen A. Severson, Soumya Ghosh, Kenney Ng

4862-4869
- PDF
Sparse Reject Option Classifier Using Successive Linear Programming

Kulin Shah, Naresh Manwani

4870-4877
- PDF
Geometric Hawkes Processes with Graph Convolutional Recurrent Neural Networks

Jin Shang, Mingxuan Sun

4878-4885
- PDF
MEAL: Multi-Model Ensemble via Adversarial Learning

Zhiqiang Shen, Zhankui He, Xiangyang Xue

4886-4893
- PDF
Multi-View Anomaly Detection: Neighborhood in Locality Matters

Xiang-Rong Sheng, De-Chuan Zhan, Su Lu, Yuan Jiang

4894-4901
- PDF
Virtual-Taobao: Virtualizing Real-World Online Retail Environment for Reinforcement Learning

Jing-Cheng Shi, Yang Yu, Qing Da, Shi-Yong Chen, An-Xiang Zeng

4902-4909
- PDF
Automatic Code Review by Learning the Revision of Source Code

Shu-Ting Shi, Ming Li, David Lo, Ferdian Thung, Xuan Huo

4910-4917
- PDF
Sublinear Time Numerical Linear Algebra for Structured Matrices

Xiaofei Shi, David P. Woodruff

4918-4925
- PDF
Label Embedding with Partial Heterogeneous Contexts

Yaxin Shi, Donna Xu, Yuangang Pan, Ivor W. Tsang, Shirui Pan

4926-4933
- PDF
Evaluating Recommender System Stability with Influence-Guided Fuzzing

David Shriver, Sebastian Elbaum, Matthew B. Dwyer, David S. Rosenblum

4934-4942
- PDF
Sensitivity Analysis of Deep Neural Networks

Hai Shu, Hongtu Zhu

4943-4950
- PDF
Transferable Curriculum for Weakly-Supervised Domain Adaptation

Yang Shu, Zhangjie Cao, Mingsheng Long, Jianmin Wang

4951-4958
- PDF
Unsupervised Transfer Learning for Spoken Language Understanding in Intelligent Agents

Aditya Siddhant, Anuj Goyal, Angeliki Metallinou

4959-4966
- PDF
Safe Policy Improvement with Baseline Bootstrapping in Factored Environments

Thiago D. Simão, Matthijs T. J. Spaan

4967-4974
- PDF
Composable Modular Reinforcement Learning

Christopher Simpkins, Charles Isbell

4975-4982
- PDF
Hierarchical Context Enabled Recurrent Neural Network for Recommendation

Kyungwoo Song, Mingi Ji, Sungrae Park, Il-Chul Moon

4983-4991
- PDF
Diversity-Driven Extensible Hierarchical Reinforcement Learning

Yuhang Song, Jianyi Wang, Thomas Lukasiewicz, Zhenghua Xu, Mai Xu

4992-4999
- PDF
On the Persistence of Clustering Solutions and True Number of Clusters in a Dataset

Amber Srivastava, Mayank Baranwal, Srinivasa Salapaka

5000-5007
- PDF
Soft Facial Landmark Detection by Label Distribution Learning

Kai Su, Xin Geng

5008-5015
- PDF
Partial Multi-Label Learning by Low-Rank and Sparse Decomposition

Lijuan Sun, Songhe Feng, Tao Wang, Congyan Lang, Yi Jin

5016-5023
- PDF
Multi-Precision Quantized Neural Networks via Encoding Decomposition of {-1,+1}

Qigong Sun, Fanhua Shang, Kang Yang, Xiufang Li, Yan Ren, Licheng Jiao

5024-5032
- PDF
Non-Ergodic Convergence Analysis of Heavy-Ball Algorithms

Tao Sun, Penghang Yin, Dongsheng Li, Chun Huang, Lei Guan, Hao Jiang

5033-5040
- PDF
Network Structure and Transfer Behaviors Embedding via Deep Prediction Model

Xin Sun, Zenghui Song, Junyu Dong, Yongbo Yu, Claudia Plant, Christian Böhm

5041-5048
- PDF
Learning Vine Copula Models for Synthetic Data Generation

Yi Sun, Alfredo Cuesta-Infante, Kalyan Veeramachaneni

5049-5057
- PDF
Matrix Completion for Graph-Based Deep Semi-Supervised Learning

Fariborz Taherkhani, Hadi Kazemi, Nasser M. Nasrabadi

5058-5065
- PDF
Variational Autoencoder with Implicit Optimal Priors

Hiroshi Takahashi, Tomoharu Iwata, Yuki Yamanaka, Masanori Yamada, Satoshi Yagi

5066-5073
- PDF
Character n-Gram Embeddings to Improve RNN Language Models

Sho Takase, Jun Suzuki, Masaaki Nagata

5074-5082
- PDF
Coreset Stochastic Variance-Reduced Gradient with Application to Optimal Margin Distribution Machine

Zhi-Hao Tan, Teng Zhang, Wei Wang

5083-5090
- PDF
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

5091-5099
- PDF
Cross-View Local Structure Preserved Diversity and Consensus Learning for Multi-View Unsupervised Feature Selection

Chang Tang, Xinzhong Zhu, Xinwang Liu, Lizhe Wang

5101-5108
- PDF
An Integral Tag Recommendation Model for Textual Content

Shijie Tang, Yuan Yao, Suwei Zhang, Feng Xu, Tianxiao Gu, Hanghang Tong, Xiaohui Yan, Jian Lu

5109-5116
- PDF
Self-Paced Active Learning: Query the Right Thing at the Right Time

Ying-Peng Tang, Sheng-Jun Huang

5117-5124
- PDF
A Radical-Aware Attention-Based Model for Chinese Text Classification

Hanqing Tao, Shiwei Tong, Hongke Zhao, Tong Xu, Binbin Jin, Qi Liu

5125-5132
- PDF
Optimization of Hierarchical Regression Model with Application to Optimizing Multi-Response Regression K-ary Trees

Pooya Tavallali, Peyman Tavallali, Mukesh Singhal

5133-5142
- PDF
Holographic Factorization Machines for Recommendation

Yi Tay, Shuai Zhang, Anh Tuan Luu, Siu Cheung Hui, Lina Yao, Tran Dang Quang Vinh

5143-5150
- PDF
Clipped Matrix Completion: A Remedy for Ceiling Effects

Takeshi Teshima, Miao Xu, Issei Sato, Masashi Sugiyama

5151-5158
- PDF
A Non–Convex Optimization Approach to Correlation Clustering

Erik Thiel, Morteza Haghir Chehreghani, Devdatt Dubhashi

5159-5166
- PDF
Learning Competitive and Discriminative Reconstructions for Anomaly Detection

Kai Tian, Shuigeng Zhou, Jianping Fan, Jihong Guan

5167-5174
- PDF
Natural Option Critic

Saket Tiwari, Philip S. Thomas

5175-5182
- PDF
Learning Triggers for Heterogeneous Treatment Effects

Christopher Tran, Elena Zheleva

5183-5190
- PDF
Improving GAN with Neighbors Embedding and Gradient Matching

Ngoc-Trung Tran, Tuan-Anh Bui, Ngai-Man Cheung

5191-5198
- PDF
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

5199-5206
- PDF
Automatic Bayesian Density Analysis

Antonio Vergari, Alejandro Molina, Robert Peharz, Zoubin Ghahramani, Kristian Kersting, Isabel Valera

5207-5215
- PDF
Robust Anomaly Detection in Videos Using Multilevel Representations

Hung Vu, Tu Dinh Nguyen, Trung Le, Wei Luo, Dinh Phung

5216-5223
- PDF
CAMO: A Collaborative Ranking Method for Content Based Recommendation

Chengwei Wang, Tengfei Zhou, Chen Chen, Tianlei Hu, Gang Chen

5224-5231
- PDF
Video Inpainting by Jointly Learning Temporal Structure and Spatial Details

Chuan Wang, Haibin Huang, Xiaoguang Han, Jue Wang

5232-5239
- PDF
Bounding Uncertainty for Active Batch Selection

Hanmo Wang, Runwu Zhou, Yi-Dong Shen

5240-5247
- PDF
Adversarial Binary Collaborative Filtering for Implicit Feedback

Haoyu Wang, Nan Shao, Defu Lian

5248-5255
- PDF
Theoretical Analysis of Label Distribution Learning

Jing Wang, Xin Geng

5256-5263
- PDF
Orderly Subspace Clustering

Jing Wang, Atsushi Suzuki, Linchuan Xu, Feng Tian, Liang Yang, Kenji Yamanishi

5264-5272
- PDF
SVM-Based Deep Stacking Networks

Jingyuan Wang, Kai Feng, Junjie Wu

5273-5280
- PDF
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

5281-5288
- PDF
Scalable Distributed DL Training: Batching Communication and Computation

Shaoqi Wang, Aidi Pi, Xiaobo Zhou

5289-5296
- PDF
HyperAdam: A Learnable Task-Adaptive Adam for Network Training

Shipeng Wang, Jian Sun, Zongben Xu

5297-5304
- PDF
A Sharper Generalization Bound for Divide-and-Conquer Ridge Regression

Shusen Wang

5305-5312
- PDF
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

5313-5320
- PDF
SCNN: A General Distribution Based Statistical Convolutional Neural Network with Application to Video Object Detection

Tianchen Wang, Jinjun Xiong, Xiaowei Xu, Yiyu Shi

5321-5328
- PDF
Explainable Reasoning over Knowledge Graphs for Recommendation

Xiang Wang, Dingxian Wang, Canran Xu, Xiangnan He, Yixin Cao, Tat-Seng Chua

5329-5336
- PDF
Hyperbolic Heterogeneous Information Network Embedding

Xiao Wang, Yiding Zhang, Chuan Shi

5337-5344
- PDF
Transferable Attention for Domain Adaptation

Ximei Wang, Liang Li, Weirui Ye, Mingsheng Long, Jianmin Wang

5345-5352
- PDF
Multiple Independent Subspace Clusterings

Xing Wang, Jun Wang, Carlotta Domeniconi, Guoxian Yu, Guoqiang Xiao, Maozu Guo

5353-5360
- PDF
Deep Metric Learning by Online Soft Mining and Class-Aware Attention

Xinshao Wang, Yang Hua, Elyor Kodirov, Guosheng Hu, Neil M. Robertson

5361-5368
- PDF
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

5369-5376
- PDF
Non-Autoregressive Machine Translation with Auxiliary Regularization

Yiren Wang, Fei Tian, Di He, Tao Qin, ChengXiang Zhai, Tie-Yan Liu

5377-5384
- PDF
Learning Compact Model for Large-Scale Multi-Label Data

Tong Wei, Yu-Feng Li

5385-5392
- PDF
Unified Embedding Alignment with Missing Views Inferring for Incomplete Multi-View Clustering

Jie Wen, Zheng Zhang, Yong Xu, Bob Zhang, Lunke Fei, Hong Liu

5393-5400
- PDF
Exploiting Local Feature Patterns for Unsupervised Domain Adaptation

Jun Wen, Risheng Liu, Nenggan Zheng, Qian Zheng, Zhefeng Gong, Junsong Yuan

5401-5408
- PDF
RobustSTL: A Robust Seasonal-Trend Decomposition Algorithm for Long Time Series

Qingsong Wen, Jingkun Gao, Xiaomin Song, Liang Sun, Huan Xu, Shenghuo Zhu

5409-5416
- PDF
Efficient Gaussian Process Classification Using Pólya-Gamma Data Augmentation

Florian Wenzel, Théo Galy-Fajou, Christan Donner, Marius Kloft, Manfred Opper

5417-5424
- PDF
How Does Knowledge of the AUC Constrain the Set of Possible Ground-Truth Labelings?

Jacob Whitehill

5425-5432
- PDF
Uncovering Specific-Shape Graph Anomalies in Attributed Graphs

Nannan Wu, Wenjun Wang, Feng Chen, Jianxin Li, Bo Li, Jinpeng Huai

5433-5440
- PDF
Point Cloud Processing via Recurrent Set Encoding

Pengxiang Wu, Chao Chen, Jingru Yi, Dimitris Metaxas

5441-5449
- PDF
Improving Domain-Specific Classification by Collaborative Learning with Adaptation Networks

Si Wu, Jian Zhong, Wenming Cao, Rui Li, Zhiwen Yu, Hau-San Wong

5450-5457
- PDF
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

5458-5465
- PDF
Tied Transformers: Neural Machine Translation with Shared Encoder and Decoder

Yingce Xia, Tianyu He, Xu Tan, Fei Tian, Di He, Tao Qin

5466-5473
- PDF
Bayesian Deep Collaborative Matrix Factorization

Teng Xiao, Shangsong Liang, Weizhou Shen, Zaiqiao Meng

5474-5481
- PDF
RS3CIS: Robust Single-Step Spectral Clustering with Intrinsic Subspace

Yun Xiao, Pengzhen Ren, Zhihui Li, Xiaojiang Chen, Xin Wang, Dingyi Fang

5482-5489
- PDF
Understanding Persuasion Cascades in Online Product Rating Systems

Hong Xie, Yongkun Li, John C.S. Lui

5490-5497
- PDF
Learning Dynamic Generator Model by Alternating Back-Propagation through Time

Jianwen Xie, Ruiqi Gao, Zilong Zheng, Song-Chun Zhu, Ying Nian Wu

5498-5507
- PDF
Multi-View Multi-Instance Multi-Label Learning Based on Collaborative Matrix Factorization

Yuying Xing, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Zili Zhang, Maozu Guo

5508-5515
- PDF
SpHMC: Spectral Hamiltonian Monte Carlo

Haoyi Xiong, Kafeng Wang, Jiang Bian, Zhanxing Zhu, Cheng-Zhong Xu, Zhishan Guo, Jun Huan

5516-5524
- PDF
Modeling Local Dependence in Natural Language with Multi-Channel Recurrent Neural Networks

Chang Xu, Weiran Huang, Hongwei Wang, Gang Wang, Tie-Yan Liu

5525-5532
- PDF
Hierarchical Classification Based on Label Distribution Learning

Changdong Xu, Xin Geng

5533-5540
- PDF
Embedding-Based Complex Feature Value Coupling Learning for Detecting Outliers in Non-IID Categorical Data

Hongzuo Xu, Yongjun Wang, Zhiyue Wu, Yijie Wang

5541-5548
- PDF
Dueling Bandits with Qualitative Feedback

Liyuan Xu, Junya Honda, Masashi Sugiyama

5549-5556
- PDF
Partial Label Learning via Label Enhancement

Ning Xu, Jiaqi Lv, Xin Geng

5557-5564
- PDF
Data-Distortion Guided Self-Distillation for Deep Neural Networks

Ting-Bing Xu, Cheng-Lin Liu

5565-5572
- PDF
Task-Driven Common Representation Learning via Bridge Neural Network

Yao Xu, Xueshuang Xiang, Meiyu Huang

5573-5580
- PDF
Self-Ensembling Attention Networks: Addressing Domain Shift for Semantic Segmentation

Yonghao Xu, Bo Du, Lefei Zhang, Qian Zhang, Guoli Wang, Liangpei Zhang

5581-5588
- PDF
Active Learning of Multi-Class Classification Models from Ordered Class Sets

Yanbing Xue, Milos Hauskrecht

5589-5596
- PDF
Frame and Feature-Context Video Super-Resolution

Bo Yan, Chuming Lin, Weimin Tan

5597-5604
- PDF
Oversampling for Imbalanced Data via Optimal Transport

Yuguang Yan, Mingkui Tan, Yanwu Xu, Jiezhang Cao, Michael Ng, Huaqing Min, Qingyao Wu

5605-5612
- PDF
Cross-Domain Visual Representations via Unsupervised Graph Alignment

Baoyao Yang, Pong C. Yuen

5613-5620
- PDF
Weighted Oblique Decision Trees

Bin-Bin Yang, Song-Qing Shen, Wei Gao

5621-5627
- PDF
Training Deep Neural Networks in Generations: A More Tolerant Teacher Educates Better Students

Chenglin Yang, Lingxi Xie, Siyuan Qiao, Alan L. Yuille

5628-5635
- PDF
Confidence Weighted Multitask Learning

Peng Yang, Peilin Zhao, Jiayu Zhou, Xin Gao

5636-5643
- PDF
Unsupervised Fake News Detection on Social Media: A Generative Approach

Shuo Yang, Kai Shu, Suhang Wang, Renjie Gu, Fan Wu, Huan Liu

5644-5651
- PDF
Deep Robust Unsupervised Multi-Modal Network

Yang Yang, Yi-Feng Wu, De-Chuan Zhan, Zhi-Bin Liu, Yuan Jiang

5652-5659
- PDF
Learning Personalized Attribute Preference via Multi-Task AUC Optimization

Zhiyong Yang, Qianqian Xu, Xiaochun Cao, Qingming Huang

5660-5667
- PDF
Revisiting Spatial-Temporal Similarity: A Deep Learning Framework for Traffic Prediction

Huaxiu Yao, Xianfeng Tang, Hua Wei, Guanjie Zheng, Zhenhui Li

5668-5675
- PDF
Balanced Sparsity for Efficient DNN Inference on GPU

Zhuliang Yao, Shijie Cao, Wencong Xiao, Chen Zhang, Lanshun Nie

5676-5683
- PDF
Iterative Classroom Teaching

Teresa Yeo, Parameswaran Kamalaruban, Adish Singla, Arpit Merchant, Thibault Asselborn, Louis Faucon, Pierre Dillenbourg, Volkan Cevher

5684-5692
- PDF
Parallel Restarted SGD with Faster Convergence and Less Communication: Demystifying Why Model Averaging Works for Deep Learning

Hao Yu, Sen Yang, Shenghuo Zhu

5693-5700
- PDF
Network Recasting: A Universal Method for Network Architecture Transformation

Joonsang Yu, Sungbum Kang, Kiyoung Choi

5701-5708
- PDF
Multi-Order Attentive Ranking Model for Sequential Recommendation

Lu Yu, Chuxu Zhang, Shangsong Liang, Xiangliang Zhang

5709-5716
- PDF
Interpreting Deep Models for Text Analysis via Optimization and Regularization Methods

Hao Yuan, Yongjun Chen, Xia Hu, Shuiwang Ji

5717-5724
- PDF
f-Similarity Preservation Loss for Soft Labels: A Demonstration on Cross-Corpus Speech Emotion Recognition

Biqiao Zhang, Yuqing Kong, Georg Essl, Emily Mower Provost

5725-5732
- PDF
Partially Observable Multi-Sensor Sequential Change Detection: A Combinatorial Multi-Armed Bandit Approach

Chen Zhang, Steven C.H. Hoi

5733-5740
- PDF
Active Mini-Batch Sampling Using Repulsive Point Processes

Cheng Zhang, Cengiz Öztireli, Stephan Mandt, Giampiero Salvi

5741-5748
- PDF
Learning Set Functions with Limited Complementarity

Hanrui Zhang

5749-5756
- PDF
RecurJac: An Efficient Recursive Algorithm for Bounding Jacobian Matrix of Neural Networks and Its Applications

Huan Zhang, Pengchuan Zhang, Cho-Jui Hsieh

5757-5764
- PDF
A Powerful Global Test Statistic for Functional Statistical Inference

Jingwen Zhang, Joseph Ibrahim, Tengfei Li, Hongtu Zhu

5765-5772
- PDF
Interactive Attention Transfer Network for Cross-Domain Sentiment Classification

Kai Zhang, Hefu Zhang, Qi Liu, Hongke Zhao, Hengshu Zhu, Enhong Chen

5773-5780
- PDF
Learning to Communicate and Solve Visual Blocks-World Tasks

Qi Zhang, Richard Lewis, Satinder Singh, Edmund Durfee

5781-5788
- PDF
ACE: An Actor Ensemble Algorithm for Continuous Control with Tree Search

Shangtong Zhang, Hengshuai Yao

5789-5796
- PDF
QUOTA: The Quantile Option Architecture for Reinforcement Learning

Shangtong Zhang, Hengshuai Yao

5797-5804
- PDF
Hashtag Recommendation for Photo Sharing Services

Suwei Zhang, Yuan Yao, Feng Xu, Hanghang Tong, Xiaohui Yan, Jian Lu

5805-5812
- PDF
Find Me if You Can: Deep Software Clone Detection by Exploiting the Contest between the Plagiarist and the Detector

Yan-Ya Zhang, Ming Li

5813-5820
- PDF
CAFE: Adaptive VDI Workload Prediction with Multi-Grained Features

Yao Zhang, Wen-Ping Fan, Xuan Wu, Hua Chen, Bin-Yang Li, Min-Ling Zhang

5821-5828
- PDF
Bayesian Graph Convolutional Neural Networks for Semi-Supervised Classification

Yingxue Zhang, Soumyasundar Pal, Mark Coates, Deniz Ustebay

5829-5836
- PDF
Learning (from) Deep Hierarchical Structure among Features

Yu Zhang, Lei Han

5837-5844
- PDF
Learning Uniform Semantic Features for Natural Language and Programming Language Globally, Locally and Sequentially

Yudong Zhang, Wenhao Zheng, Ming Li

5845-5852
- PDF
SADIH: Semantic-Aware DIscrete Hashing

Zheng Zhang, Guo-sen Xie, Yang Li, Sheng Li, Zi Huang

5853-5860
- PDF
Submodular Optimization over Streams with Inhomogeneous Decays

Junzhou Zhao, Shuo Shang, Pinghui Wang, John C.S. Lui, Xiangliang Zhang

5861-5868
- PDF
The Adversarial Attack and Detection under the Fisher Information Metric

Chenxiao Zhao, P. Thomas Fletcher, Mixue Yu, Yaxin Peng, Guixu Zhang, Chaomin Shen

5869-5876
- PDF
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

5877-5884
- PDF
InfoVAE: Balancing Learning and Inference in Variational Autoencoders

Shengjia Zhao, Jiaming Song, Stefano Ermon

5885-5892
- PDF
Self-Adversarially Learned Bayesian Sampling

Yang Zhao, Jianyi Zhang, Changyou Chen

5893-5900
- PDF
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

5901-5908
- PDF
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

5909-5916
- PDF
Understanding VAEs in Fisher-Shannon Plane

Huangjie Zheng, Jiangchao Yao, Ya Zhang, Ivor W. Tsang, Jia Wang

5917-5924
- PDF
Capacity Control of ReLU Neural Networks by Basis-Path Norm

Shuxin Zheng, Qi Meng, Huishuai Zhang, Wei Chen, Nenghai Yu, Tie-Yan Liu

5925-5932
- PDF
Self-Supervised Mixture-of-Experts by Uncertainty Estimation

Zhuobin Zheng, Chun Yuan, Xinrui Zhu, Zhihui Lin, Yangyang Cheng, Cheng Shi, Jiahui Ye

5933-5940
- PDF
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

5941-5948
- PDF
An Efficient Compressive Convolutional Network for Unified Object Detection and Image Compression

Xichuan Zhou, Lang Xu, Shujun Liu, Yingcheng Lin, Lei Zhang, Cheng Zhuo

5949-5956
- PDF
Communication-Optimal Distributed Dynamic Graph Clustering

Chun Jiang Zhu, Tan Zhu, Kam-Yiu Lam, Song Han, Jinbo Bi

5957-5964
- PDF
A Domain Generalization Perspective on Listwise Context Modeling

Lin Zhu, Yihong Chen, Bowen He

5965-5972
- PDF
DAN: Deep Attention Neural Network for News Recommendation

Qiannan Zhu, Xiaofei Zhou, Zeliang Song, Jianlong Tan, Li Guo

5973-5980
- PDF
Residual Invertible Spatio-Temporal Network for Video Super-Resolution

Xiaobin Zhu, Zhuangzi Li, Xiao-Yu Zhang, Changsheng Li, Yaqi Liu, Ziyu Xue

5981-5988
- PDF
Aligning Domain-Specific Distribution and Classifier for Cross-Domain Classification from Multiple Sources

Yongchun Zhu, Fuzhen Zhuang, Deqing Wang

5989-5996
- PDF
Consensus Adversarial Domain Adaptation

Han Zou, Yuxun Zhou, Jianfei Yang, Huihan Liu, Hari Prasanna Das, Costas J. Spanos

5997-6004
- PDF

AAAI Technical Track: Multiagent Systems

Verification of RNN-Based Neural Agent-Environment Systems

Michael E. Akintunde, Andreea Kevorchian, Alessio Lomuscio, Edoardo Pirovano

6006-6013
- PDF
Bayesian Execution Skill Estimation

Christopher Archibald, Delma Nieves-Rivera

6014-6021
- PDF
Consensus in Opinion Formation Processes in Fully Evolving Environments

Vincenzo Auletta, Angelo Fanelli, Diodato Ferraioli

6022-6029
- PDF
An Abstraction-Based Method for Verifying Strategic Properties in Multi-Agent Systems with Imperfect Information

Francesco Belardinelli, Alessio Lomuscio, Vadim Malvone

6030-6037
- PDF
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

6038-6045
- PDF
Distributed Community Detection via Metastability of the 2-Choices Dynamics

Emilio Cruciani, Emanuele Natale, Giacomo Scornavacca

6046-6053
- PDF
Successor Features Based Multi-Agent RL for Event-Based Decentralized MDPs

Tarun Gupta, Akshat Kumar, Praveen Paruchuri

6054-6061
- PDF
IPOMDP-Net: A Deep Neural Network for Partially Observable Multi-Agent Planning Using Interactive POMDPs

Yanlin Han, Piotr Gmytrasiewicz

6062-6069
- PDF
General Robustness Evaluation of Incentive Mechanism against Bounded Rationality Using Continuum-Armed Bandits

Zehong Hu, Jie Zhang, Zhao Li

6070-6078
- PDF
Message-Dropout: An Efficient Training Method for Multi-Agent Deep Reinforcement Learning

Woojun Kim, Myungsik Cho, Youngchul Sung

6079-6086
- PDF
Symmetry-Breaking Constraints for Grid-Based Multi-Agent Path Finding

Jiaoyang Li, Daniel Harabor, Peter J. Stuckey, Hang Ma, Sven Koenig

6087-6095
- PDF
Multi-Agent Discussion Mechanism for Natural Language Generation

Xu Li, Mingming Sun, Ping Li

6096-6103
- PDF
Large Scale Learning of Agent Rationality in Two-Player Zero-Sum Games

Chun Kai Ling, Fei Fang, J. Zico Kolter

6104-6111
- PDF
Leveraging Observations in Bandits: Between Risks and Benefits

Andrei Lupu, Audrey Durand, Doina Precup

6112-6119
- PDF
TrafficPredict: Trajectory Prediction for Heterogeneous Traffic-Agents

Yuexin Ma, Xinge Zhu, Sibo Zhang, Ruigang Yang, Wenping Wang, Dinesh Manocha

6120-6127
- PDF
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

6128-6136
- PDF
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

6137-6145
- PDF
Evolution of Collective Fairness in Hybrid Populations of Humans and Agents

Fernando P. Santos, Jorge M. Pacheco, Ana Paiva, Francisco C. Santos

6146-6153
- PDF
Multi-Winner Contests for Strategic Diffusion in Social Networks

Wen Shen, Yang Feng, Cristina V. Lopes

6154-6162
- PDF
Theory of Minds: Understanding Behavior in Groups through Inverse Planning

Michael Shum, Max Kleiman-Weiner, Michael L. Littman, Joshua B. Tenenbaum

6163-6170
- PDF
Multiagent Decision Making For Maritime Traffic Management

Arambam James Singh, Duc Thien Nguyen, Akshat Kumar, Hoong Chuin Lau

6171-6178
- PDF
Probabilistic Alternating-Time µ-Calculus

Fu Song, Yedi Zhang, Taolue Chen, Yu Tang, Zhiwu Xu

6179-6186
- PDF

AAAI Technical Track: Natural Language Processing

Enriching Word Embeddings with a Regressor Instead of Labeled Corpora

Mohamed Abdalla, Magnus Sahlgren, Graeme Hirst

6188-6195
- PDF
Online Embedding Compression for Text Classification Using Low Rank Matrix Factorization

Anish Acharya, Rahul Goel, Angeliki Metallinou, Inderjit Dhillon

6196-6203
- PDF
Antonym-Synonym Classification Based on New Sub-Space Embeddings

Muhammad Asif Ali, Yifang Sun, Xiaoling Zhou, Wei Wang, Xiang Zhao

6204-6211
- PDF
AutoSense Model for Word Sense Induction

Reinald Kim Amplayo, Seung-won Hwang, Min Song

6212-6219
- PDF
Re-Evaluating ADEM: A Deeper Look at Scoring Dialogue Responses

Ananya B. Sai, Mithun Das Gupta, Mitesh M. Khapra, Mukundhan Srinivasan

6220-6227
- PDF
Automated Rule Base Completion as Bayesian Concept Induction

Zied Bouraoui, Steven Schockaert

6228-6235
- PDF
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

6236-6243
- PDF
Incorporating Structured Commonsense Knowledge in Story Completion

Jiaao Chen, Jianshu Chen, Zhou Yu

6244-6251
- PDF
Deep Short Text Classification with Knowledge Powered Attention

Jindong Chen, Yizhou Hu, Jingping Liu, Yanghua Xiao, Haiyun Jiang

6252-6259
- PDF
Transfer Learning for Sequence Labeling Using Source Model and Target Data

Lingzhen Chen, Alessandro Moschitti

6260-6267
- PDF
Title-Guided Encoding for Keyphrase Generation

Wang Chen, Yifan Gao, Jiani Zhang, Irwin King, Michael R. Lyu

6268-6275
- PDF
Convolutional Spatial Attention Model for Reading Comprehension with Multiple-Choice Questions

Zhipeng Chen, Yiming Cui, Wentao Ma, Shijin Wang, Guoping Hu

6276-6283
- PDF
Implicit Argument Prediction as Reading Comprehension

Pengxiang Cheng, Katrin Erk

6284-6291
- PDF
Recurrent Stacking of Layers for Compact Neural Machine Translation Models

Raj Dabre, Atsushi Fujita

6292-6299
- PDF
Joint Extraction of Entities and Overlapping Relations Using Position-Attentive Sequence Labeling

Dai Dai, Xinyan Xiao, Yajuan Lyu, Shan Dou, Qiaoqiao She, Haifeng Wang

6300-6308
- PDF
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

6309-6317
- PDF
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

6318-6325
- PDF
Training Temporal Word Embeddings with a Compass

Valerio Di Carlo, Federico Bianchi, Matteo Palmonari

6326-6334
- PDF
A Pattern-Based Approach to Recognizing Time Expressions

Wentao Ding, Guanji Gao, Linfeng Shi, Yuzhong Qu

6335-6342
- PDF
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

6343-6350
- PDF
Adapting Translation Models for Transcript Disfluency Detection

Qianqian Dong, Feng Wang, Zhen Yang, Wei Chen, Shuang Xu, Bo Xu

6351-6358
- PDF
Explicit Interaction Model towards Text Classification

Cunxiao Du, Zhaozheng Chen, Fuli Feng, Lei Zhu, Tian Gan, Liqiang Nie

6359-6366
- PDF
“Bilingual Expert” Can Find Translation Errors

Kai Fan, Jiayi Wang, Bo Li, Fengming Zhou, Boxing Chen, Luo Si

6367-6374
- PDF
EA Reader: Enhance Attentive Reader for Cloze-Style Question Answering via Multi-Space Context Fusion

Chengzhen Fu, Yan Zhang

6375-6382
- PDF
Generating Multiple Diverse Responses for Short-Text Conversation

Jun Gao, Wei Bi, Xiaojiang Liu, Junhui Li, Shuming Shi

6383-6390
- PDF
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

6391-6398
- PDF
Abstractive Text Summarization by Incorporating Reader Comments

Shen Gao, Xiuying Chen, Piji Li, Zhaochun Ren, Lidong Bing, Dongyan Zhao, Rui Yan

6399-6406
- PDF
Hybrid Attention-Based Prototypical Networks for Noisy Few-Shot Relation Classification

Tianyu Gao, Xu Han, Zhiyuan Liu, Maosong Sun

6407-6414
- PDF
Predicting and Analyzing Language Specificity in Social Media Posts

Yifan Gao, Yang Zhong, Daniel Preoţiuc-Pietro, Junyi Jessy Li

6415-6422
- PDF
Generating Distractors for Reading Comprehension Questions from Real Examinations

Yifan Gao, Lidong Bing, Piji Li, Irwin King, Michael R. Lyu

6423-6430
- PDF
Kernelized Hashcode Representations for Relation Extraction

Sahil Garg, Aram Galstyan, Greg Ver Steeg, Irina Rish, Guillermo Cecchi, Shuyang Gao

6431-6440
- PDF
MNCN: A Multilingual Ngram-Based Convolutional Network for Aspect Category Detection in Online Reviews

Erfan Ghadery, Sajad Movahedi, Heshaam Faili, Azadeh Shakery

6441-6448
- PDF
Sentence-Wise Smooth Regularization for Sequence to Sequence Learning

Chengyue Gong, Xu Tan, Di He, Tao Qin

6449-6456
- PDF
Switch-LSTMs for Multi-Criteria Chinese Word Segmentation

Jingjing Gong, Xinchi Chen, Tao Gui, Xipeng Qiu

6457-6464
- PDF
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

6465-6472
- PDF
Story Ending Generation with Incremental Encoding and Commonsense Knowledge

Jian Guan, Yansen Wang, Minlie Huang

6473-6480
- PDF
Long Short-Term Memory with Dynamic Skip Connections

Tao Gui, Qi Zhang, Lujun Zhao, Yaosong Lin, Minlong Peng, Jingjing Gong, Xuanjing Huang

6481-6488
- PDF
Gaussian Transformer: A Lightweight Approach for Natural Language Inference

Maosheng Guo, Yu Zhang, Ting Liu

6489-6496
- PDF
GIRNet: Interleaved Multi-Task Recurrent State Sequence Models

Divam Gupta, Tanmoy Chakraborty, Soumen Chakrabarti

6497-6504
- PDF
Document Informed Neural Autoregressive Topic Models with Distributional Prior

Pankaj Gupta, Yatin Chaudhary, Florian Buettner, Hinrich Schütze

6505-6512
- PDF
Neural Relation Extraction within and across Sentence Boundaries

Pankaj Gupta, Subburam Rajaram, Hinrich Schütze, Thomas Runkler

6513-6520
- PDF
PARABANK: Monolingual Bitext Generation and Sentential Paraphrasing via Lexically-Constrained Neural Machine Translation

J. Edward Hu, Rachel Rudinger, Matt Post, Benjamin Van Durme

6521-6528
- PDF
Read + Verify: Machine Reading Comprehension with Unanswerable Questions

Minghao Hu, Furu Wei, Yuxing Peng, Zhen Huang, Nan Yang, Dongsheng Li

6529-6537
- PDF
Recurrent Poisson Process Unit for Speech Recognition

Hengguan Huang, Hao Wang, Brian Mak

6538-6545
- PDF
Dictionary-Guided Editing Networks for Paraphrase Generation

Shaohan Huang, Yu Wu, Furu Wei, Zhongzhi Luan

6546-6553
- PDF
Unsupervised Controllable Text Formalization

Parag Jain, Abhijit Mishra, Amar Prakash Azad, Karthik Sankaranarayanan

6554-6561
- PDF
Word Embedding as Maximum A Posteriori Estimation

Shoaib Jameel, Zihao Fu, Bei Shi, Wai Lam, Steven Schockaert

6562-6569
- PDF
Understanding Actors and Evaluating Personae with Gaussian Embeddings

Hannah Kim, Denys Katerenchuk, Daniel Billet, Jun Huan, Haesun Park, Boyang Li

6570-6577
- PDF
Predicting the Argumenthood of English Prepositional Phrases

Najoung Kim, Kyle Rawlins, Benjamin Van Durme, Paul Smolensky

6578-6585
- PDF
Semantic Sentence Matching with Densely-Connected Recurrent and Co-Attentive Information

Seonhoon Kim, Inho Kang, Nojun Kwak

6586-6593
- PDF
Dynamic Compositionality in Recursive Neural Networks with Structure-Aware Tag Representations

Taeuk Kim, Jihun Choi, Daniel Edmiston, Sanghwan Bae, Sang-goo Lee

6594-6601
- PDF
Improving Neural Question Generation Using Answer Separation

Yanghoon Kim, Hwanhee Lee, Joongbo Shin, Kyomin Jung

6602-6609
- PDF
Domain Agnostic Real-Valued Specificity Prediction

Wei-Jen Ko, Greg Durrett, Junyi Jessy Li

6610-6617
- PDF
Neural Machine Translation with Adequacy-Oriented Learning

Xiang Kong, Zhaopeng Tu, Shuming Shi, Eduard Hovy, Tong Zhang

6618-6625
- PDF
Fast and Simple Mixture of Softmaxes with BPE and Hybrid-LightRNN for Language Generation

Xiang Kong, Qizhe Xie, Zihang Dai, Eduard Hovy

6626-6633
- PDF
Lattice CNNs for Matching Based Chinese Question Answering

Yuxuan Lai, Yansong Feng, Xiaohan Yu, Zheng Wang, Kun Xu, Dongyan Zhao

6634-6641
- PDF
Zero-Shot Adaptive Transfer for Conversational Language Understanding

Sungjin Lee, Rahul Jha

6642-6649
- PDF
A Human-Like Semantic Cognition Network for Aspect-Level Sentiment Classification

Zeyang Lei, Yujiu Yang, Min Yang, Wei Zhao, Jun Guo, Yi Liu

6650-6657
- PDF
Dependency Grammar Induction with a Neural Variational Transition-Based Parser

Bowen Li, Jianpeng Cheng, Yang Liu, Frank Keller

6658-6665
- PDF
Knowledge-Driven Encode, Retrieve, Paraphrase for Medical Image Report Generation

Christy Y. Li, Xiaodan Liang, Zhiting Hu, Eric P. Xing

6666-6673
- PDF
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

6674-6681
- PDF
Differentiated Distribution Recovery for Neural Text Generation

Jianing Li, Yanyan Lan, Jiafeng Guo, Jun Xu, Xueqi Cheng

6682-6689
- PDF
Towards Personalized Review Summarization via User-Aware Sequence Network

Junjie Li, Haoran Li, Chengqing Zong

6690-6697
- PDF
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

6698-6705
- PDF
Neural Speech Synthesis with Transformer Network

Naihan Li, Shujie Liu, Yanqing Liu, Sheng Zhao, Ming Liu

6706-6713
- PDF
A Unified Model for Opinion Target Extraction and Target Sentiment Prediction

Xin Li, Lidong Bing, Piji Li, Wai Lam

6714-6721
- PDF
Dialogue Generation: From Imitation Learning to Inverse Reinforcement Learning

Ziming Li, Julia Kiseleva, Maarten de Rijke

6722-6729
- PDF
Dependency or Span, End-to-End Uniform Semantic Role Labeling

Zuchao Li, Shexia He, Hai Zhao, Yiqing Zhang, Zhuosheng Zhang, Xi Zhou, Xiang Zhou

6730-6737
- PDF
A Generalized Idiom Usage Recognition Model Based on Semantic Compatibility

Changsheng Liu, Rebecca Hwa

6738-6745
- PDF
Leveraging Web Semantic Knowledge in Word Representation Learning

Haoyan Liu, Lei Fang, Jian-Guang Lou, Zhoujun Li

6746-6753
- PDF
Exploiting the Ground-Truth: An Adversarial Imitation Based Knowledge Distillation Approach for Event Detection

Jian Liu, Yubo Chen, Kang Liu

6754-6761
- PDF
Contextualized Non-Local Neural Networks for Sequence Learning

Pengfei Liu, Shuaichen Chang, Xuanjing Huang, Jian Tang, Jackie Chi Kit Cheung

6762-6769
- PDF
FANDA: A Novel Approach to Perform Follow-Up Query Analysis

Qian Liu, Bei Chen, Jian-Guang Lou, Ge Jin, Dongmei Zhang

6770-6777
- PDF
Unsupervised Post-Processing of Word Vectors via Conceptor Negation

Tianlin Liu, Lyle Ungar, João Sedoc

6778-6785
- PDF
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

6786-6793
- PDF
Learning Personalized End-to-End Goal-Oriented Dialog

Liangchen Luo, Wenhao Huang, Qi Zeng, Zaiqing Nie, Xu Sun

6794-6801
- PDF
SAM-Net: Integrating Event-Level and Chain-Level Attentions to Predict What Happens Next

Shangwen Lv, Wanhui Qian, Longtao Huang, Jizhong Han, Songlin Hu

6802-6809
- PDF
LiveBot: Generating Live Video Comments Based on Visual and Textual Contexts

Shuming Ma, Lei Cui, Damai Dai, Furu Wei, Xu Sun

6810-6817
- PDF
DialogueRNN: An Attentive RNN for Emotion Detection in Conversations

Navonil Majumder, Soujanya Poria, Devamanyu Hazarika, Rada Mihalcea, Alexander Gelbukh, Erik Cambria

6818-6825
- PDF
Weakly-Supervised Hierarchical Text Classification

Yu Meng, Jiaming Shen, Chao Zhang, Jiawei Han

6826-6833
- PDF
CGMH: Constrained Sentence Generation by Metropolis-Hastings Sampling

Ning Miao, Hao Zhou, Lili Mou, Rui Yan, Lei Li

6834-6842
- PDF
Spell Once, Summon Anywhere: A Two-Level Open-Vocabulary Language Model

Sebastian J. Mielke, Jason Eisner

6843-6850
- PDF
One for All: Neural Joint Modeling of Entities and Events

Trung Minh Nguyen, Thien Huu Nguyen

6851-6858
- PDF
Combining Fact Extraction and Verification with Neural Semantic Matching Networks

Yixin Nie, Haonan Chen, Mohit Bansal

6859-6866
- PDF
Analyzing Compositionality-Sensitivity of NLI Models

Yixin Nie, Yicheng Wang, Mohit Bansal

6867-6874
- PDF
HAS-QA: Hierarchical Answer Spans Model for Open-Domain Question Answering

Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Lixin Su, Xueqi Cheng

6875-6882
- PDF
Paraphrase Diversification Using Counterfactual Debiasing

Sunghyun Park, Seung-won Hwang, Fuxiang Chen, Jaegul Choo, Jung-Woo Ha, Sunghun Kim, Jinyeong Yim

6883-6891
- PDF
Found in Translation: Learning Robust Joint Representations by Cyclic Translations between Modalities

Hai Pham, Paul Pu Liang, Thomas Manzini, Louis-Philippe Morency, Barnabás Póczos

6892-6899
- PDF
Unseen Word Representation by Aligning Heterogeneous Lexical Semantic Spaces

Victor Prokhorov, Mohammad Taher Pilehvar, Dimitri Kartsaklis, Pietro Lio, Nigel Collier

6900-6907
- PDF
Data-to-Text Generation with Content Selection and Planning

Ratish Puduppully, Li Dong, Mirella Lapata

6908-6915
- PDF
Jointly Learning to Label Sentences and Tokens

Marek Rei, Anders Søgaard

6916-6923
- PDF
Zero-Shot Neural Transfer for Cross-Lingual Entity Linking

Shruti Rijhwani, Jiateng Xie, Graham Neubig, Jaime Carbonell

6924-6931
- PDF
COALA: A Neural Coverage-Based Approach for Long Answer Selection with Small Data

Andreas Rücklé, Nafise Sadat Moosavi, Iryna Gurevych

6932-6939
- PDF
Revisiting LSTM Networks for Semi-Supervised Text Classification via Mixed Objective Function

Devendra Singh Sachan, Manzil Zaheer, Ruslan Salakhutdinov

6940-6948
- PDF
A Hierarchical Multi-Task Approach for Learning Embeddings from Semantic Tasks

Victor Sanh, Thomas Wolf, Sebastian Ruder

6949-6956
- PDF
On Resolving Ambiguous Anaphoric Expressions in Imperative Discourse

Vasanth Sarathy, Matthias Scheutz

6957-6964
- PDF
Learning Semantic Representations for Novel Words: Leveraging Both Form and Context

Timo Schick, Hinrich Schütze

6965-6973
- PDF
Challenges in the Automatic Analysis of Students’ Diagnostic Reasoning

Claudia Schulz, Christian M. Meyer, Iryna Gurevych

6974-6981
- PDF
Analysis of Joint Multilingual Sentence Representations and Semantic K-Nearest Neighbor Graphs

Holger Schwenk, Douwe Kiela, Matthijs Douze

6982-6990
- PDF
Learning to Embed Sentences Using Attentive Recursive Trees

Jiaxin Shi, Lei Hou, Juanzi Li, Zhiyuan Liu, Hanwang Zhang

6991-6998
- PDF
DeepChannel: Salience Estimation by Contrastive Learning for Extractive Document Summarization

Jiaxin Shi, Chen Liang, Lei Hou, Juanzi Li, Zhiyuan Liu, Hanwang Zhang

6999-7006
- PDF
A Deep Sequential Model for Discourse Parsing on Multi-Party Dialogues

Zhouxing Shi, Minlie Huang

7007-7014
- PDF
GlobalTrait: Personality Alignment of Multilingual Word Embeddings

Farhad Bin Siddique, Dario Bertero, Pascale Fung

7015-7022
- PDF
Exploring Knowledge Graphs in an Interpretable Composite Approach for Text Entailment

Vivian S. Silva, André Freitas, Siegfried Handschuh

7023-7030
- PDF
Fast PMI-Based Word Embedding with Efficient Use of Unobserved Patterns

Behrouz Haji Soleimani, Stan Matwin

7031-7038
- PDF
Distantly Supervised Entity Relation Extraction with Adapted Manual Annotations

Changzhi Sun, Yuanbin Wu

7039-7046
- PDF
Towards Sentence-Level Brain Decoding with Distributed Representations

Jingyuan Sun, Shaonan Wang, Jiajun Zhang, Chengqing Zong

7047-7054
- PDF
A Grammar-Based Structural CNN Decoder for Code Generation

Zeyu Sun, Qihao Zhu, Lili Mou, Yingfei Xiong, Ge Li, Lu Zhang

7055-7062
- PDF
QUAREL: A Dataset and Models for Answering Questions about Qualitative Relationships

Oyvind Tafjord, Peter Clark, Matt Gardner, Wen-tau Yih, Ashish Sabharwal

7063-7071
- PDF
A Hierarchical Framework for Relation Extraction with Reinforcement Learning

Ryuichi Takanobu, Tianyang Zhang, Jiexi Liu, Minlie Huang

7072-7079
- PDF
Jointly Extracting Multiple Triplets with Multilayer Translation Constraints

Zhen Tan, Xiang Zhao, Wei Wang, Weidong Xiao

7080-7087
- PDF
Multi-Matching Network for Multiple Choice Reading Comprehension

Min Tang, Jiaran Cai, Hankz Hankui Zhuo

7088-7095
- PDF
Generating Live Soccer-Match Commentary from Play Data

Yasufumi Taniguchi, Yukun Feng, Hiroya Takamura, Manabu Okumura

7096-7103
- PDF
Near-Lossless Binarization of Word Embeddings

Julien Tissier, Christophe Gravier, Amaury Habrard

7104-7111
- PDF
CompareLDA: A Topic Model for Document Comparison

Maksim Tkachenko, Hady W. Lauw

7112-7119
- PDF
A Natural Language Corpus of Common Grounding under Continuous and Partially-Observable Context

Takuma Udagawa, Akiko Aizawa

7120-7127
- PDF
Improving Hypernymy Prediction via Taxonomy Enhanced Adversarial Learning

Chengyu Wang, Xiaofeng He, Aoying Zhou

7128-7135
- PDF
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

7136-7143
- PDF
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

7144-7151
- PDF
Logic Attention Based Neighborhood Aggregation for Inductive Knowledge Graph Embedding

Peifeng Wang, Jialong Han, Chenliang Li, Rong Pan

7152-7159
- PDF
Chinese NER with Height-Limited Constituent Parsing

Rui Wang, Xin Xin, Wei Chang, Kun Ming, Biao Li, Xin Fan

7160-7167
- PDF
A Multi-Agent Communication Framework for Question-Worthy Phrase Extraction and Question Generation

Siyuan Wang, Zhongyu Wei, Zhihao Fan, Yang Liu, Xuanjing Huang

7168-7175
- PDF
A Task in a Suit and a Tie: Paraphrase Generation with Semantic Augmentation

Su Wang, Rahul Gupta, Nancy Chang, Jason Baldridge

7176-7183
- PDF
Hierarchical Attention Networks for Sentence Ordering

Tianming Wang, Xiaojun Wan

7184-7191
- PDF
Transferable Interactive Memory Network for Domain Adaptation in Fine-Grained Opinion Extraction

Wenya Wang, Sinno Jialin Pan

7192-7199
- PDF
Unsupervised Learning Helps Supervised Neural Word Segmentation

Xiaobin Wang, Deng Cai, Linlin Li, Guangwei Xu, Hai Zhao, Luo Si

7200-7207
- PDF
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

7208-7215
- PDF
Words Can Shift: Dynamically Adjusting Word Representations Using Nonverbal Behaviors

Yansen Wang, Ying Shen, Zhun Liu, Paul Pu Liang, Amir Zadeh, Louis-Philippe Morency

7216-7223
- PDF
A Deep Reinforcement Learning Based Multi-Step Coarse to Fine Question Answering (MSCQA) System

Yu Wang, Hongxia Jin

7224-7232
- PDF
When Do Words Matter? Understanding the Impact of Lexical Choice on Audience Perception Using Individual Treatment Effect Estimation

Zhao Wang, Aron Culotta

7233-7240
- PDF
Better Fine-Tuning via Instance Weighting for Text Classification

Zhi Wang, Wei Bi, Yan Wang, Xiaojiang Liu

7241-7248
- PDF
A Topic-Aware Reinforced Model for Weakly Supervised Stance Detection

Penghui Wei, Wenji Mao, Guandan Chen

7249-7256
- PDF
Translating with Bilingual Topic Knowledge for Neural Machine Translation

Xiangpeng Wei, Yue Hu, Luxi Xing, Yipeng Wang, Li Gao

7257-7264
- PDF
Reverse-Engineering Satire, or “Paper on Computational Humor Accepted despite Making Serious Advances”

Robert West, Eric Horvitz

7265-7272
- PDF
Improving Distantly Supervised Relation Extraction with Neural Noise Converter and Conditional Optimal Selector

Shanchan Wu, Kai Fan, Qiong Zhang

7273-7280
- PDF
Response Generation by Context-Aware Prototype Editing

Yu Wu, Furu Wei, Shaohan Huang, Yunli Wang, Zhoujun Li, Ming Zhou

7281-7288
- PDF
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

7289-7296
- PDF
Graph Based Translation Memory for Neural Machine Translation

Mengzhou Xia, Guoping Huang, Lemao Liu, Shuming Shi

7297-7304
- PDF
Syntax-Aware Neural Semantic Role Labeling

Qingrong Xia, Zhenghua Li, Min Zhang, Meishan Zhang, Guohong Fu, Rui Wang, Luo Si

7305-7313
- PDF
Adaptive Region Embedding for Text Classification

Liuyu Xiang, Xiaoming Jin, Lan Yi, Guiguang Ding

7314-7321
- PDF
Quantifying Uncertainties in Natural Language Processing Tasks

Yijun Xiao, William Yang Wang

7322-7329
- PDF
Distributed Representation of Words in Cause and Effect Spaces

Zhipeng Xie, Feiteng Mu

7330-7337
- PDF
Modeling Coherence for Discourse Neural Machine Translation

Hao Xiong, Zhongjun He, Hua Wu, Haifeng Wang

7338-7345
- PDF
End-to-End Knowledge-Routed Relational Dialogue System for Automatic Diagnosis

Lin Xu, Qixian Zhou, Ke Gong, Xiaodan Liang, Jianheng Tang, Liang Lin

7346-7353
- PDF
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

7354-7361
- PDF
Exploring Human-Like Reading Strategy for Abstractive Text Summarization

Min Yang, Qiang Qu, Wenting Tu, Ying Shen, Zhou Zhao, Xiaojun Chen

7362-7369
- PDF
Graph Convolutional Networks for Text Classification

Liang Yao, Chengsheng Mao, Yuan Luo

7370-7377
- PDF
Plan-and-Write: Towards Better Automatic Storytelling

Lili Yao, Nanyun Peng, Ralph Weischedel, Kevin Knight, Dongyan Zhao, Rui Yan

7378-7385
- PDF
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

7386-7393
- PDF
TopicEq: A Joint Topic and Mathematical Equation Model for Scientific Texts

Michihiro Yasunaga, John D. Lafferty

7394-7401
- PDF
Data Augmentation for Spoken Language Understanding via Joint Variational Generation

Kang Min Yoo, Youhyun Shin, Sang-goo Lee

7402-7409
- PDF
Combining Axiom Injection and Knowledge Base Completion for Efficient Natural Language Inference

Masashi Yoshikawa, Koji Mineshima, Hiroshi Noji, Daisuke Bekki

7410-7417
- PDF
Distant Supervision for Relation Extraction with Linear Attenuation Simulation and Non-IID Relevance Embedding

Changsen Yuan, Heyan Huang, Chong Feng, Xiao Liu, Xiaochi Wei

7418-7425
- PDF
Exploring Answer Stance Detection with Recurrent Conditional Attention

Jianhua Yuan, Yanyan Zhao, Jingfang Xu, Bing Qin

7426-7433
- PDF
Bidirectional Transition-Based Dependency Parsing

Yunzhe Yuan, Yong Jiang, Kewei Tu

7434-7441
- PDF
DRr-Net: Dynamic Re-Read Network for Sentence Semantic Matching

Kun Zhang, Guangyi Lv, Linyuan Wang, Le Wu, Enhong Chen, Fangzhao Wu, Xing Xie

7442-7449
- PDF
A Generalized Language Model in Tensor Space

Lipeng Zhang, Peng Zhang, Xindian Ma, Shuqin Gu, Zhan Su, Dawei Song

7450-7458
- PDF
Generating Chinese Ci with Designated Metrical Structure

Richong Zhang, Xinyu Liu, Xinwei Chen, Zhiyuan Hu, Zhaoqing Xu, Yongyi Mao

7459-7467
- PDF
A Neural Network Approach to Verb Phrase Ellipsis Resolution

Wei-Nan Zhang, Yue Zhang, Yuanxing Liu, Donglin Di, Ting Liu

7468-7475
- PDF
Generating Character Descriptions for Automatic Summarization of Fiction

Weiwei Zhang, Jackie Chi Kit Cheung, Joel Oren

7476-7483
- PDF
Multi-Labeled Relation Extraction with Attentive Capsule Network

Xinsong Zhang, Pengshuai Li, Weijia Jia, Hai Zhao

7484-7491
- PDF
An Affect-Rich Neural Conversational Model with Biased Attention and Weighted Cross-Entropy Loss

Peixiang Zhong, Di Wang, Chunyan Miao

7492-7500
- PDF

AAAI Technical Track: Planning, Routing, and Scheduling

Plan-Length Bounds: Beyond 1-Way Dependency

Mohammad Abdulaziz

7502-7510
- PDF
Measurement Maximizing Adaptive Sampling with Risk Bounding Functions

Benjamin Ayton, Brian Williams, Richard Camilli

7511-7519
- PDF
Bringing Order to Chaos – A Compact Representation of Partial Order in SAT-Based HTN Planning

Gregor Behnke, Daniel Höller, Susanne Biundo

7520-7529
- PDF
Deep Reactive Policies for Planning in Stochastic Nonlinear Domains

Thiago P. Bueno, Leliane N. de Barros, Denis D. Mauá, Scott Sanner

7530-7537
- PDF
Robustness Envelopes for Temporal Plans

Michael Cashmore, Alessandro Cimatti, Daniele Magazzeni, Andrea Micheli, Parisa Zehtabi

7538-7545
- PDF
Improving Domain-Independent Planning via Critical Section Macro-Operators

Lukáš Chrpa, Mauro Vallati

7546-7553
- PDF
Efficient Temporal Planning Using Metastates

Amanda Coles, Andrew Coles, J. Christopher Beck

7554-7561
- PDF
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

7562-7569
- PDF
Learning Resource Allocation and Pricing for Cloud Profit Maximization

Bingqian Du, Chuan Wu, Zhiyi Huang

7570-7577
- PDF
Refining Abstraction Heuristics during Real-Time Planning

Rebecca Eifler, Maximilian Fickert, Jörg Hoffmann, Wheeler Ruml

7578-7585
- PDF
Operator Mutexes and Symmetries for Simplifying Planning Tasks

Daniel Fišer, Álvaro Torralba, Alexander Shleyfman

7586-7593
- PDF
Solving Multiagent Planning Problems with Concurrent Conditional Effects

Daniel Furelos-Blanco, Anders Jonsson

7594-7601
- PDF
Learning How to Ground a Plan – Partial Grounding in Classical Planning

Daniel Gnad, Álvaro Torralba, Martín Domínguez, Carlos Areces, Facundo Bustos

7602-7609
- PDF
Generalized Planning via Abstraction: Arbitrary Numbers of Objects

León Illanes, Sheila A. McIlraith

7610-7618
- PDF
Red-Black Heuristics for Planning Tasks with Conditional Effects

Michael Katz

7619-7626
- PDF
Multi-Agent Path Finding for Large Agents

Jiaoyang Li, Pavel Surynek, Ariel Felner, Hang Ma, T. K. Satish Kumar, Sven Koenig

7627-7634
- PDF
Moral Permissibility of Action Plans

Felix Lindner, Robert Mattmüller, Bernhard Nebel

7635-7642
- PDF
Searching with Consistent Prioritization for Multi-Agent Path Finding

Hang Ma, Daniel Harabor, Peter J. Stuckey, Jiaoyang Li, Sven Koenig

7643-7650
- PDF
Lifelong Path Planning with Kinematic Constraints for Multi-Agent Pickup and Delivery

Hang Ma, Wolfgang Hönig, T. K. Satish Kumar, Nora Ayanian, Sven Koenig

7651-7658
- PDF
Performance Guarantees for Homomorphisms beyond Markov Decision Processes

Sultan Javed Majeed, Marcus Hutter

7659-7666
- PDF
Sliding Window Temporal Graph Coloring

George B. Mertzios, Hendrik Molter, Viktor Zamaraev

7667-7674
- PDF
Temporal Planning with Temporal Metric Trajectory Constraints

Andrea Micheli, Enrico Scala

7675-7682
- PDF
Automated Verification of Social Laws for Continuous Time Multi-Robot Systems

Ronen Nir, Erez Karpas

7683-7690
- PDF
Acting and Planning Using Operational Models

Sunandita Patra, Malik Ghallab, Dana Nau, Paolo Traverso

7691-7698
- PDF
Distribution-Based Semi-Supervised Learning for Activity Recognition

Hangwei Qian, Sinno Jialin Pan, Chunyan Miao

7699-7706
- PDF
An Innovative Genetic Algorithm for the Quantum Circuit Compilation Problem

Riccardo Rasconi, Angelo Oddi

7707-7714
- PDF
Deep Learning for Cost-Optimal Planning: Task-Dependent Planner Selection

Silvan Sievers, Michael Katz, Shirin Sohrabi, Horst Samulowitz, Patrick Ferber

7715-7723
- PDF
Rotational Diversity in Multi-Cycle Assignment Problems

Helge Spieker, Arnaud Gotlieb, Morten Mossige

7724-7731
- PDF
Online Multi-Agent Pathfinding

Jiří Švancara, Marek Vlk, Roni Stern, Dor Atzmon, Roman Barták

7732-7739
- PDF

AAAI Technical Track: Reasoning under Uncertainty

Active Preference Learning Based on Generalized Gini Functions: Application to the Multiagent Knapsack Problem

Nadjet Bourdache, Patrice Perny

7741-7748
- PDF
Machine Teaching for Inverse Reinforcement Learning: Algorithms and Applications

Daniel S. Brown, Scott Niekum

7749-7758
- PDF
Robustness Guarantees for Bayesian Inference with Gaussian Processes

Luca Cardelli, Marta Kwiatkowska, Luca Laurenti, Andrea Patane

7759-7768
- PDF
Probabilistic Logic Programming with Beta-Distributed Random Variables

Federico Cerutti, Lance Kaplan, Angelika Kimmig, Murat Şensoy

7769-7776
- PDF
On Testing of Uniform Samplers

Sourav Chakraborty, Kuldeep S. Meel

7777-7784
- PDF
On the Hardness of Probabilistic Inference Relaxations

Supratik Chakraborty, Kuldeep S. Meel, Moshe Y. Vardi

7785-7792
- PDF
Learning Diverse Bayesian Networks

Cong Chen, Changhe Yuan

7793-7800
- PDF
Path-Specific Counterfactual Fairness

Silvia Chiappa

7801-7808
- PDF
Efficient Optimal Approximation of Discrete Random Variables for Estimation of Probabilities of Missing Deadlines

Liat Cohen, Gera Weiss

7809-7815
- PDF
Fast Relational Probabilistic Inference and Learning: Approximate Counting via Hypergraphs

Mayukh Das, Devendra Singh Dhami, Gautam Kunapuli, Kristian Kersting, Sriraam Natarajan

7816-7824
- PDF
Exact and Approximate Weighted Model Integration with Probability Density Functions Using Knowledge Compilation

Pedro Zuidberg Dos Martires, Anton Dries, Luc De Raedt

7825-7833
- PDF
Marginal Inference in Continuous Markov Random Fields Using Mixtures

Yuanzhen Guo, Hao Xiong, Nicholas Ruozzi

7834-7841
- PDF
A Generative Model for Dynamic Networks with Applications

Shubham Gupta, Gaurav Sharma, Ambedkar Dukkipati

7842-7849
- PDF
Collective Online Learning of Gaussian Processes in Massive Multi-Agent Systems

Trong Nghia Hoang, Quang Minh Hoang, Kian Hsiang Low, Jonathan How

7850-7857
- PDF
MFBO-SSM: Multi-Fidelity Bayesian Optimization for Fast Inference in State-Space Models

Mahdi Imani, Seyede Fatemeh Ghoreishi, Douglas Allaire, Ulisses M. Braga-Neto

7858-7865
- PDF
Polynomial-Time Probabilistic Reasoning with Partial Observations via Implicit Learning in Probability Logics

Brendan Juba

7866-7875
- PDF
Randomized Strategies for Robust Combinatorial Optimization

Yasushi Kawase, Hanna Sumita

7876-7883
- PDF
Dirichlet Multinomial Mixture with Variational Manifold Regularization: Topic Modeling over Short Texts

Ximing Li, Jiaojiao Zhang, Jihong Ouyang

7884-7891
- PDF
Finding All Bayesian Network Structures within a Factor of Optimal

Zhenyu A. Liao, Charupriya Sharma, James Cussens, Peter van Beek

7892-7899
- PDF
Interleave Variational Optimization with Monte Carlo Sampling: A Tale of Two Approximate Inference Paradigms

Qi Lou, Rina Dechter, Alexander Ihler

7900-7907
- PDF
Robust Ordinal Embedding from Contaminated Relative Comparisons

Ke Ma, Qianqian Xu, Xiaochun Cao

7908-7915
- PDF
On Lifted Inference Using Neural Embeddings

Mohammad Maminur Islam, Somdeb Sarkhel, Deepak Venugopal

7916-7923
- PDF
Anytime Recursive Best-First Search for Bounding Marginal MAP

Radu Marinescu, Akihiro Kishimoto, Adi Botea, Rina Dechter, Alexander Ihler

7924-7932
- PDF
Semi-Parametric Sampling for Stochastic Bandits with Many Arms

Mingdong Ou, Nan Li, Cheng Yang, Shenghuo Zhu, Rong Jin

7933-7940
- PDF
Memory Bounded Open-Loop Planning in Large POMDPs Using Thompson Sampling

Thomy Phan, Lenz Belzner, Marie Kiermeier, Markus Friedrich, Kyrill Schmid, Claudia Linnhoff-Popien

7941-7948
- PDF
Rethinking the Discount Factor in Reinforcement Learning: A Decision Theoretic Approach

Silviu Pitis

7949-7956
- PDF
Structured Bayesian Networks: From Inference to Learning with Routes

Yujia Shen, Anchal Goyanka, Adnan Darwiche, Arthur Choi

7957-7965
- PDF
Compiling Bayesian Network Classifiers into Decision Graphs

Andy Shih, Arthur Choi, Adnan Darwiche

7966-7974
- PDF
Lifted Hinge-Loss Markov Random Fields

Sriram Srinivasan, Behrouz Babaki, Golnoosh Farnadi, Lise Getoor

7975-7983
- PDF
Counting and Sampling Markov Equivalent Directed Acyclic Graphs

Topi Talvitie, Mikko Koivisto

7984-7991
- PDF
Optimizing Discount and Reputation Trade-Offs in E-Commerce Systems: Characterization and Online Learning

Hong Xie, Yongkun Li, John C. S. Lui

7992-7999
- PDF

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

8001-8008
- PDF
MotionTransformer: Transferring Neural Inertial Tracking between Domains

Changhao Chen, Yishu Miao, Chris Xiaoxuan Lu, Linhai Xie, Phil Blunsom, Andrew Markham, Niki Trigoni

8009-8016
- PDF
Adversarial Actor-Critic Method for Task and Motion Planning Problems Using Planning Experience

Beomjoon Kim, Leslie Pack Kaelbling, Tomás Lozano-Pérez

8017-8024
- PDF
Mirroring without Overimitation: Learning Functionally Equivalent Manipulation Actions

Hangxin Liu, Chi Zhang, Yixin Zhu, Chenfanfu Jiang, Song-Chun Zhu

8025-8033
- PDF
Visual Place Recognition via Robust ℓ2-Norm Distance Based Holism and Landmark Integration

Kai Liu, Hua Wang, Fei Han, Hao Zhang

8034-8041
- PDF
Deictic Image Mapping: An Abstraction for Learning Pose Invariant Manipulation Policies

Robert Platt, Colin Kohler, Marcus Gualtieri

8042-8049
- PDF
Personalized Robot Tutoring Using the Assistive Tutor POMDP (AT-POMDP)

Aditi Ramachandran, Sarah Strohkorb Sebo, Brian Scassellati

8050-8057
- PDF
That’s Mine! Learning Ownership Relations and Norms for Robots

Zhi-Xuan Tan, Jake Brawer, Brian Scassellati

8058-8065
- PDF
Probabilistic Model Checking of Robots Deployed in Extreme Environments

Xingyu Zhao, Valentin Robu, David Flynn, Fateme Dinmohammadi, Michael Fisher, Matt Webster

8066-8074
- PDF

AAAI Technical Track: Vision

TallyQA: Answering Complex Counting Questions

Manoj Acharya, Kushal Kafle, Christopher Kanan

8076-8084
- PDF
Densely Supervised Grasp Detector (DSGD)

Umar Asif, Jianbin Tang, Stefan Harrer

8085-8093
- PDF
Object Detection Based on Region Decomposition and Assembly

Seung-Hwan Bae

8094-8101
- PDF
BLOCK: Bilinear Superdiagonal Fusion for Visual Question Answering and Visual Relationship Detection

Hedi Ben-younes, Remi Cadene, Nicolas Thome, Matthieu Cord

8102-8109
- PDF
MR-NET: Exploiting Mutual Relation for Visual Relationship Detection

Yi Bin, Yang Yang, Chaofan Tao, Zi Huang, Jingjing Li, Heng Tao Shen

8110-8117
- PDF
Action Knowledge Transfer for Action Prediction with Partial Videos

Yijun Cai, Haoxin Li, Jian-Fang Hu, Wei-Shi Zheng

8118-8125
- PDF
GaitSet: Regarding Gait as a Set for Cross-View Gait Recognition

Hanqing Chao, Yiwei He, Junping Zhang, Jianfeng Feng

8126-8133
- PDF
Energy Confused Adversarial Metric Learning for Zero-Shot Image Retrieval and Clustering

Binghui Chen, Weihong Deng

8134-8141
- PDF
Improving Image Captioning with Conditional Generative Adversarial Nets

Chen Chen, Shuai Mu, Wanpeng Xiao, Zexiong Ye, Liesi Wu, Qi Ju

8142-8150
- PDF
Unsupervised Stylish Image Description Generation via Domain Layer Norm

Cheng-Kuan Chen, Zhufeng Pan, Ming-Yu Liu, Min Sun

8151-8158
- PDF
Unsupervised Meta-Learning of Figure-Ground Segmentation via Imitating Visual Effects

Ding-Jie Chen, Jui-Ting Chien, Hwann-Tzong Chen, Tyng-Luh Liu

8159-8166
- PDF
Temporal Deformable Convolutional Encoder-Decoder Networks for Video Captioning

Jingwen Chen, Yingwei Pan, Yehao Li, Ting Yao, Hongyang Chao, Tao Mei

8167-8174
- PDF
Localizing Natural Language in Videos

Jingyuan Chen, Lin Ma, Xinpeng Chen, Zequn Jie, Jiebo Luo

8175-8182
- PDF
Similarity Preserving Deep Asymmetric Quantization for Image Retrieval

Junjie Chen, William K. Cheung

8183-8190
- PDF
Motion Guided Spatial Attention for Video Captioning

Shaoxiang Chen, Yu-Gang Jiang

8191-8198
- PDF
Semantic Proposal for Activity Localization in Videos via Sentence Query

Shaoxiang Chen, Yu-Gang Jiang

8199-8206
- PDF
Unsupervised Bilingual Lexicon Induction from Mono-Lingual Multimodal Data

Shizhe Chen, Qin Jin, Alexander Hauptmann

8207-8214
- PDF
Learning Resolution-Invariant Deep Representations for Person Re-Identification

Yun-Chun Chen, Yu-Jhe Li, Xiaofei Du, Yu-Chiang Frank Wang

8215-8222
- PDF
Data Fine-Tuning

Saheb Chhabra, Puspita Majumdar, Mayank Vatsa, Richa Singh

8223-8230
- PDF
Selective Refinement Network for High Performance Face Detection

Cheng Chi, Shifeng Zhang, Junliang Xing, Zhen Lei, Stan Z. Li, Xudong Zou

8231-8238
- PDF
Residual Compensation Networks for Heterogeneous Face Recognition

Zhongying Deng, Xiaojiang Peng, Yu Qiao

8239-8246
- PDF
Attention-Aware Sampling via Deep Reinforcement Learning for Action Recognition

Wenkai Dong, Zhaoxiang Zhang, Tieniu Tan

8247-8254
- PDF
Learning a Deep Convolutional Network for Colorization in Monochrome-Color Dual-Lens System

Xuan Dong, Weixin Li, Xiaojie Wang, Yunhong Wang

8255-8262
- PDF
Cubic LSTMs for Video Prediction

Hehe Fan, Linchao Zhu, Yi Yang

8263-8270
- PDF
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

8271-8278
- PDF
MeshNet: Mesh Neural Network for 3D Shape Representation

Yutong Feng, Yifan Feng, Haoxuan You, Xibin Zhao, Yue Gao

8279-8286
- PDF
STA: Spatial-Temporal Attention for Large-Scale Video-Based Person Re-Identification

Yang Fu, Xiaoyang Wang, Yunchao Wei, Thomas Huang

8287-8294
- PDF
Horizontal Pyramid Matching for Person Re-Identification

Yang Fu, Yunchao Wei, Yuqian Zhou, Honghui Shi, Gao Huang, Xinchao Wang, Zhiqiang Yao, Thomas Huang

8295-8302
- PDF
I Know the Relationships: Zero-Shot Action Recognition via Two-Stream Graph Convolutional Networks and Knowledge Graphs

Junyu Gao, Tianzhu Zhang, Changsheng Xu

8303-8311
- PDF
Perceptual Pyramid Adversarial Networks for Text-to-Image Synthesis

Lianli Gao, Daiyuan Chen, Jingkuan Song, Xing Xu, Dongxiang Zhang, Heng Tao Shen

8312-8319
- PDF
Deliberate Attention Networks for Image Captioning

Lianli Gao, Kaixuan Fan, Jingkuan Song, Xianglong Liu, Xing Xu, Heng Tao Shen

8320-8327
- PDF
Video Imprint Segmentation for Temporal Action Detection in Untrimmed Videos

Zhanning Gao, Le Wang, Qilin Zhang, Zhenxing Niu, Nanning Zheng, Gang Hua

8328-8335
- PDF
No-Reference Image Quality Assessment with Reinforcement Recursive List-Wise Ranking

Jie Gu, Gaofeng Meng, Cheng Da, Shiming Xiang, Chunhong Pan

8336-8343
- PDF
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

8344-8351
- PDF
Human Action Transfer Based on 3D Model Reconstruction

Shanyan Guan, Shuo Wen, Dexin Yang, Bingbing Ni, Wendong Zhang, Jun Tang, Xiaokang Yang

8352-8359
- PDF
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

8360-8367
- PDF
Depthwise Convolution Is All You Need for Learning Multiple Visual Domains

Yunhui Guo, Yandong Li, Liqiang Wang, Tajana Rosing

8368-8375
- PDF
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

8376-8384
- PDF
HSME: Hypersphere Manifold Embedding for Visible Thermal Person Re-Identification

Yi Hao, Nannan Wang, Jie Li, Xinbo Gao

8385-8392
- PDF
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

8393-8400
- PDF
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

8401-8408
- PDF
Mono3D++: Monocular 3D Vehicle Detection with Two-Scale 3D Hypotheses and Task Priors

Tong He, Stefano Soatto

8409-8416
- PDF
Non-Local Context Encoder: Robust Biomedical Image Segmentation against Adversarial Attacks

Xiang He, Sibei Yang, Guanbin Li, Haofeng Li, Huiyou Chang, Yizhou Yu

8417-8424
- PDF
Weighted Channel Dropout for Regularization of Deep Convolutional Neural Network

Saihui Hou, Zilei Wang

8425-8432
- PDF
Learning to Steer by Mimicking Features from Heterogeneous Auxiliary Networks

Yuenan Hou, Zheng Ma, Chunxiao Liu, Chen Change Loy

8433-8440
- PDF
Attention-Based Multi-Context Guiding for Few-Shot Semantic Segmentation

Tao Hu, Pengwan Yang, Chiliang Zhang, Gang Yu, Yadong Mu, Cees G. M. Snoek

8441-8448
- PDF
A Novel Framework for Robustness Analysis of Visual QA Models

Jia-Hong Huang, Cuong Duc Dao, Modar Alfadly, Bernard Ghanem

8449-8456
- PDF
Re²EMA: Regularized and Reinitialized Exponential Moving Average for Target Model Update in Object Tracking

Jianglei Huang, Wengang Zhou

8457-8464
- PDF
Hierarchically Structured Reinforcement Learning for Topically Coherent Visual Story Generation

Qiuyuan Huang, Zhe Gan, Asli Celikyilmaz, Dapeng Wu, Jianfeng Wang, Xiaodong He

8465-8472
- PDF
A Framework to Coordinate Segmentation and Recognition

Wei Huang, Huimin Yu, Weiwei Zheng, Jing Zhang

8473-8480
- PDF
3D Volumetric Modeling with Introspective Neural Networks

Wenlong Huang, Brian Lai, Weijian Xu, Zhuowen Tu

8481-8488
- PDF
Few-Shot Image and Sentence Matching via Gated Visual-Semantic Embedding

Yan Huang, Yang Long, Liang Wang

8489-8496
- PDF
Attentive Temporal Pyramid Network for Dynamic Scene Classification

Yuanjun Huang, Xianbin Cao, Xiantong Zhen, Jungong Han

8497-8504
- PDF
DeepCCFV: Camera Constraint-Free Multi-View Convolutional Neural Network for 3D Object Retrieval

Zhengyue Huang, Zhehui Zhao, Hengguang Zhou, Xibin Zhao, Yue Gao

8505-8512
- PDF
MLVCNN: Multi-Loop-View Convolutional Neural Network for 3D Shape Retrieval

Jianwen Jiang, Di Bao, Ziqiang Chen, Xibin Zhao, Yue Gao

8513-8520
- PDF
Image Saliency Prediction in Transformed Domain: A Deep Complex Neural Network Method

Lai Jiang, Zhe Wang, Mai Xu, Zulin Wang

8521-8528
- PDF
Video Object Detection with Locally-Weighted Deformable Neighbors

Zhengkai Jiang, Peng Gao, Chaoxu Guo, Qian Zhang, Shiming Xiang, Chunhong Pan

8529-8536
- PDF
Discriminative Feature Learning for Unsupervised Video Summarization

Yunjae Jung, Donghyeon Cho, Dahun Kim, Sanghyun Woo, In So Kweon

8537-8544
- PDF
Self-Supervised Video Representation Learning with Space-Time Cubic Puzzles

Dahun Kim, Donghyeon Cho, In So Kweon

8545-8552
- PDF
BiHMP-GAN: Bidirectional 3D Human Motion Prediction GAN

Jogendra Nath Kundu, Maharshi Gor, R. Venkatesh Babu

8553-8560
- PDF
Spatio-Temporal Graph Routing for Skeleton-Based Action Recognition

Bin Li, Xi Li, Zhongfei Zhang, Fei Wu

8561-8568
- PDF
SuperVAE: Superpixelwise Variational Autoencoder for Salient Object Detection

Bo Li, Zhengxing Sun, Yuqi Guo

8569-8576
- PDF
Gradient Harmonized Single-Stage Detector

Buyu Li, Yu Liu, Xiaogang Wang

8577-8584
- PDF
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

8585-8593
- PDF
Semantic Relationships Guided Representation Learning for Facial Action Unit Recognition

Guanbin Li, Xin Zhu, Yirui Zeng, Qing Wang, Liang Lin

8594-8601
- PDF
Heterogeneous Transfer Learning via Deep Matrix Completion with Adversarial Kernel Embedding

Haoliang Li, Sinno Jialin Pan, Renjie Wan, Alex C. Kot

8602-8609
- PDF
Show, Attend and Read: A Simple and Strong Baseline for Irregular Text Recognition

Hui Li, Peng Wang, Chunhua Shen, Guyu Zhang

8610-8617
- PDF
Multi-Scale 3D Convolution Network for Video Based Person Re-Identification

Jianing Li, Shiliang Zhang, Tiejun Huang

8618-8625
- PDF
Meta Learning for Image Captioning

Nannan Li, Zhenzhong Chen, Shan Liu

8626-8633
- PDF
Visual-Semantic Graph Reasoning for Pedestrian Attribute Recognition

Qiaozhe Li, Xin Zhao, Ran He, Kaiqi Huang

8634-8641
- PDF
Distribution Consistency Based Covariance Metric Networks for Few-Shot Learning

Wenbin Li, Jinglin Xu, Jing Huo, Lei Wang, Yang Gao, Jiebo Luo

8642-8649
- PDF
Learning Object Context for Dense Captioning

Xiangyang Li, Shuqiang Jiang, Jungong Han

8650-8657
- PDF
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

8658-8665
- PDF
Robust Estimation of Similarity Transformation for Visual Object Tracking

Yang Li, Jianke Zhu, Steven C.H. Hoi, Wenjie Song, Zhefeng Wang, Hantang Liu

8666-8673
- PDF
Temporal Bilinear Networks for Video Action Recognition

Yanghao Li, Sijie Song, Yuqi Li, Jiaying Liu

8674-8681
- PDF
Angular Triplet-Center Loss for Multi-View 3D Shape Retrieval

Zhaoqun Li, Cheng Xu, Biao Leng

8682-8689
- PDF
Zero-Shot Object Detection with Textual Descriptions

Zhihui Li, Lina Yao, Xiaoqin Zhang, Xianzhi Wang, Salil Kanhere, Huaxiang Zhang

8690-8697
- PDF
PCGAN: Partition-Controlled Human Image Generation

Dong Liang, Rui Wang, Xiaowei Tian, Cong Zou

8698-8705
- PDF
Unsupervised Cross-Spectral Stereo Matching by Learning to Synthesize

Mingyang Liang, Xiaoyang Guo, Hongsheng Li, Xiaogang Wang, You Song

8706-8713
- PDF
Scene Text Recognition from Two-Dimensional Perspective

Minghui Liao, Jian Zhang, Zhaoyi Wan, Fengming Xie, Jiajun Liang, Pengyuan Lyu, Cong Yao, Xiang Bai

8714-8721
- PDF
Towards Optimal Discrete Online Hashing with Balanced Similarity

Mingbao Lin, Rongrong Ji, Hong Liu, Xiaoshuai Sun, Yongjian Wu, Yunsheng Wu

8722-8729
- PDF
Hypergraph Optimization for Multi-Structural Geometric Model Fitting

Shuyuan Lin, Guobao Xiao, Yan Yan, David Suter, Hanzi Wang

8730-8737
- PDF
A Bottom-Up Clustering Approach to Unsupervised Person Re-Identification

Yutian Lin, Xuanyi Dong, Liang Zheng, Yan Yan, Yi Yang

8738-8745
- PDF
Learning Neural Bag-of-Matrix-Summarization with Riemannian Network

Hong Liu, Jie Li, Yongjian Wu, Rongrong Ji

8746-8753
- PDF
Optimal Projection Guided Transfer Hashing for Image Retrieval

Ji Liu, Lei Zhang

8754-8761
- PDF
Joint Dynamic Pose Image and Space Time Reversal for Human Action Recognition from Videos

Mengyuan Liu, Fanyang Meng, Chen Chen, Songtao Wu

8762-8769
- PDF
DDFlow: Learning Optical Flow with Unlabeled Data Distillation

Pengpeng Liu, Irwin King, Michael R. Lyu, Jia Xu

8770-8777
- PDF
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

8778-8785
- PDF
Spatial and Temporal Mutual Promotion for Video-Based Person Re-Identification

Yiheng Liu, Zhenxun Yuan, Wengang Zhou, Houqiang Li

8786-8793
- PDF
Deep Video Frame Interpolation Using Cyclic Frame Generation

Yu-Lun Liu, Yi-Tung Liao, Yen-Yu Lin, Yung-Yu Chuang

8794-8802
- PDF
Detect or Track: Towards Cost-Effective Video Object Detection/Tracking

Hao Luo, Wenxuan Xie, Xinggang Wang, Wenjun Zeng

8803-8810
- PDF
Recognizing Unseen Attribute-Object Pair with Generative Model

Zhixiong Nan, Yang Liu, Nanning Zheng, Song-Chun Zhu

8811-8818
- PDF
CAPNet: Continuous Approximation Projection for 3D Point Cloud Reconstruction Using 2D Supervision

K. L. Navaneet, Priyanka Mandikal, Mayank Agarwal, R. Venkatesh Babu

8819-8826
- PDF
Dual Semi-Supervised Learning for Facial Action Unit Recognition

Guozhu Peng, Shangfei Wang

8827-8834
- PDF
Learning Attribute-Specific Representations for Visual Tracking

Yuankai Qi, Shengping Zhang, Weigang Zhang, Li Su, Qingming Huang, Ming-Hsuan Yang

8835-8842
- PDF
Weakly Supervised Scene Parsing with Point-Based Distance Metric Learning

Rui Qian, Yunchao Wei, Honghui Shi, Jiachen Li, Jiaying Liu, Thomas Huang

8843-8850
- PDF
MonoGRNet: A Geometric Reasoning Network for Monocular 3D Object Localization

Zengyi Qin, Jinglu Wang, Yan Lu

8851-8858
- PDF
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

8859-8867
- PDF
Almost Unsupervised Learning for Dense Crowd Counting

Deepak Babu Sam, Neeraj N Sajjan, Himanshu Maurya, R. Venkatesh Babu

8868-8875
- PDF
KVQA: Knowledge-Aware Visual Question Answering

Sanket Shah, Anand Mishra, Naganand Yadati, Partha Pratim Talukdar

8876-8884
- PDF
Connecting Language to Images: A Progressive Attention-Guided Network for Simultaneous Image Captioning and Language Grounding

Lingyun Song, Jun Liu, Buyue Qian, Yihe Chen

8885-8892
- PDF
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

8893-8900
- PDF
A Layer-Based Sequential Framework for Scene Generation with GANs

Mehmet Ozgur Turkoglu, William Thong, Luuk Spreeuwers, Berkay Kicanaoglu

8901-8908
- PDF
Hierarchical Photo-Scene Encoder for Album Storytelling

Bairui Wang, Lin Ma, Wei Zhang, Wenhao Jiang, Feng Zhang

8909-8916
- PDF
Robust Deep Co-Saliency Detection with Group Semantic

Chong Wang, Zheng-Jun Zha, Dong Liu, Hongtao Xie

8917-8924
- PDF
Learning Basis Representation to Refine 3D Human Pose Estimations

Chunyu Wang, Haibo Qiu, Alan L. Yuille, Wenjun Zeng

8925-8932
- PDF
Spatial-Temporal Person Re-Identification

Guangcong Wang, Jianhuang Lai, Peigen Huang, Xiaohua Xie

8933-8940
- PDF
Deep Single-View 3D Object Reconstruction with Visual Hull Embedding

Hanqing Wang, Jiaolong Yang, Wei Liang, Xin Tong

8941-8948
- PDF
MVPNet: Multi-View Point Regression Networks for 3D Object Reconstruction from A Single Image

Jinglu Wang, Bo Sun, Yan Lu

8949-8956
- PDF
Hierarchical Attention Network for Image Captioning

Weixuan Wang, Zhihong Chen, Haifeng Hu

8957-8964
- PDF
Learning to Compose Topic-Aware Mixture of Experts for Zero-Shot Video Captioning

Xin Wang, Jiawei Wu, Da Zhang, Yu Su, William Yang Wang

8965-8972
- PDF
Sparse Adversarial Perturbations for Videos

Xingxing Wei, Jun Zhu, Sha Yuan, Hang Su

8973-8980
- PDF
Learning Non-Uniform Hypergraph for Multi-Object Tracking

Longyin Wen, Dawei Du, Shengkun Li, Xiao Bian, Siwei Lyu

8981-8988
- PDF
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

8989-8996
- PDF
Differential Networks for Visual Question Answering

Chenfei Wu, Jinlai Liu, Xiaojie Wang, Ruifan Li

8997-9004
- PDF
Disentangled Variational Representation for Heterogeneous Face Recognition

Xiang Wu, Huaibo Huang, Vishal M. Patel, Ran He, Zhenan Sun

9005-9012
- PDF
Multiple Saliency and Channel Sensitivity Network for Aggregated Convolutional Feature

Xuanlu Xiang, Zhipeng Wang, Zhicheng Zhao, Fei Su

9013-9020
- PDF
What and Where the Themes Dominate in Image

Xinyu Xiao, Lingfeng Wang, Shiming Xiang, Chunhong Pan

9021-9029
- PDF
Semantic Adversarial Network with Multi-Scale Pyramid Attention for Video Classification

De Xie, Cheng Deng, Hao Wang, Chao Li, Dapeng Tao

9030-9037
- PDF
Scene Text Detection with Supervised Pyramid Context Network

Enze Xie, Yuhang Zang, Shuai Shao, Gang Yu, Cong Yao, Guangyao Li

9038-9045
- PDF
DeRPN: Taking a Further Step toward More General Object Detection

Lele Xie, Yuliang Liu, Lianwen Jin, Zecheng Xie

9046-9053
- PDF
Residual Attribute Attention Network for Face Image Super-Resolution

Jingwei Xin, Nannan Wang, Xinbo Gao, Jie Li

9054-9061
- PDF
Multilevel Language and Vision Integration for Text-to-Clip Retrieval

Huijuan Xu, Kun He, Bryan A. Plummer, Leonid Sigal, Stan Sclaroff, Kate Saenko

9062-9069
- PDF
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

9070-9078
- PDF
A Dual Attention Network with Semantic Embedding for Few-Shot Learning

Shipeng Yan, Songyang Zhang, Xuming He

9079-9086
- PDF
Efficient Image Retrieval via Decoupling Diffusion into Online and Offline Processing

Fan Yang, Ryota Hinami, Yusuke Matsui, Steven Ly, Shin’ichi Satoh

9087-9094
- PDF
Learning a Visual Tracker from a Single Movie without Annotation

Lingxiao Yang, David Zhang, Lei Zhang

9095-9102
- PDF
Safeguarded Dynamic Label Regression for Noisy Supervision

Jiangchao Yao, Hao Wu, Ya Zhang, Ivor W. Tsang, Jun Sun

9103-9110
- PDF
Instance-Level Facial Attributes Transfer with Geometry-Aware Flow

Weidong Yin, Ziwei Liu, Chen Change Loy

9111-9118
- PDF
PVRNet: Point-View Relation Neural Network for 3D Shape Recognition

Haoxuan You, Yifan Feng, Xibin Zhao, Changqing Zou, Rongrong Ji, Yue Gao

9119-9126
- PDF
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

9127-9134
- PDF
Spatial Mixture Models with Learnable Deep Priors for Perceptual Grouping

Jinyang Yuan, Bin Li, Xiangyang Xue

9135-9142
- PDF
Cycle-SUM: Cycle-Consistent Adversarial LSTM Networks for Unsupervised Video Summarization

Li Yuan, Francis EH Tay, Ping Li, Li Zhou, Jiashi Feng

9143-9150
- PDF
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

9151-9158
- PDF
To Find Where You Talk: Temporal Sentence Localization in Video with Attention Based Location Regression

Yitian Yuan, Tao Mei, Wenwu Zhu

9159-9166
- PDF
Memory-Augmented Temporal Dynamic Learning for Action Recognition

Yuan Yuan, Dong Wang, Qi Wang

9167-9175
- PDF
ACM: Adaptive Cross-Modal Graph Convolutional Neural Networks for RGB-D Scene Recognition

Yuan Yuan, Zhitong Xiong, Qi Wang

9176-9184
- PDF
Large-Scale Visual Relationship Understanding

Ji Zhang, Yannis Kalantidis, Marcus Rohrbach, Manohar Paluri, Ahmed Elgammal, Mohamed Elhoseiny

9185-9194
- PDF
Multi-Attribute Transfer via Disentangled Representation

Jianfu Zhang, Yuanyuan Huang, Yaoyi Li, Weijie Zhao, Liqing Zhang

9195-9202
- PDF
Cousin Network Guided Sketch Recognition via Latent Attribute Warehouse

Kaihao Zhang, Wenhan Luo, Lin Ma, Hongdong Li

9203-9210
- PDF
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

9211-9218
- PDF
Learning to Localize Objects with Noisy Labeled Instances

Xiaopeng Zhang, Yang Yang, Jiashi Feng

9219-9226
- PDF
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

9227-9234
- PDF
Learning a Key-Value Memory Co-Attention Matching Network for Person Re-Identification

Yaqing Zhang, Xi Li, Zhongfei Zhang

9235-9242
- PDF
Learning Incremental Triplet Margin for Person Re-Identification

Yingying Zhang, Qiaoyong Zhong, Liang Ma, Di Xie, Shiliang Pu

9243-9250
- PDF
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

9251-9258
- PDF
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

9259-9266
- PDF
3D Object Detection Using Scale Invariant and Feature Reweighting Networks

Xin Zhao, Zhe Liu, Ruolan Hu, Kaiqi Huang

9267-9274
- PDF
Recurrent Attention Model for Pedestrian Attribute Recognition

Xin Zhao, Liufang Sang, Guiguang Ding, Jungong Han, Na Di, Chenggang Yan

9275-9282
- PDF
Learning Fully Dense Neural Networks for Image Semantic Segmentation

Mingmin Zhen, Jinglu Wang, Lei Zhou, Tian Fang, Long Quan

9283-9290
- PDF
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

9291-9298
- PDF
Talking Face Generation by Adversarially Disentangled Audio-Visual Representation

Hang Zhou, Yu Liu, Ziwei Liu, Ping Luo, Xiaogang Wang

9299-9306
- PDF
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

9307-9315
- PDF
Free VQA Models from Knowledge Inertia by Pairwise Inconformity Learning

Yiyi Zhou, Rongrong Ji, Jinsong Su, Xiangming Li, Xiaoshuai Sun

9316-9323
- PDF
Dynamic Capsule Attention for Visual Question Answering

Yiyi Zhou, Rongrong Ji, Jinsong Su, Xiaoshuai Sun, Weiqiu Chen

9324-9331
- PDF
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

9332-9339
- PDF
Deep Embedding Features for Salient Object Detection

Yunzhi Zhuge, Yu Zeng, Huchuan Lu

9340-9347
- PDF
Calibrated Stochastic Gradient Descent for Convolutional Neural Networks

Li’an Zhuo, Baochang Zhang, Chen Chen, Qixiang Ye, Jianzhuang Liu, David Doermann

9348-9355
- PDF

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

9357-9364
- PDF
Large Scale Personalized Categorization of Financial Transactions

Christopher Lesner, Alexander Ran, Marko Rukonic, Wei Wang

9365-9372
- PDF
Transforming Underwriting in the Life Insurance Industry

Marc Maier, Hayley Carlotto, Freddie Sanchez, Sherriff Balogun, Sears Merritt

9373-9380
- PDF
Automated Dispatch of Helpdesk Email Tickets: Pushing the Limits with AI

Atri Mandal, Nikhil Malhotra, Shivali Agarwal, Anupama Ray, Giriprasad Sridhara

9381-9388
- PDF
Grading Uncompilable Programs

Rohit Takhar, Varun Aggarwal

9389-9396
- PDF

IAAI Technical Papers: Emerging Papers

Remote Management of Boundary Protection Devices with Information Restrictions

Aaron Adler, Peter Samouelian, Michael Atighetchi, Yat Fu

9398-9403
- PDF
Linking Educational Resources on Data Science

José Luis Ambite, Jonathan Gordon, Lily Fierro, Gully Burns, Joel Mathew

9404-9409
- PDF
Early-Stopping of Scattering Pattern Observation with Bayesian Modeling

Akinori Asahara, Hidekazu Morita, Chiharu Mitsumata, Kanta Ono, Masao Yano, Tetsuya Shoji

9410-9415
- PDF
Querying NoSQL with Deep Learning to Answer Natural Language Questions

Sebastian Blank, Florian Wilhelm, Hans-Peter Zorn, Achim Rettinger

9416-9421
- PDF
Probabilistic-Logic Bots for Efficient Evaluation of Business Rules Using Conversational Interfaces

Joseph Bockhorst, Devin Conathan, Glenn M Fung

9422-9427
- PDF
Anomaly Detection Using Autoencoders in High Performance Computing Systems

Andrea Borghesi, Andrea Bartolini, Michele Lombardi, Michela Milano, Luca Benini

9428-9433
- PDF
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

9434-9439
- PDF
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

9440-9445
- PDF
DeBGUer: A Tool for Bug Prediction and Diagnosis

Amir Elmishali, Roni Stern, Meir Kalech

9446-9451
- PDF
Satellite Detection of Moving Vessels in Marine Environments

Natalie Fridman, Doron Amir, Yinon Douchan, Noa Agmon

9452-9459
- PDF
Automatic Generation of Chinese Short Product Titles for Mobile Display

Yu Gong, Xusheng Luo, Kenny Q. Zhu, Wenwu Ou, Zhao Li, Lu Duan

9460-9465
- PDF
Logistic Regression on Homomorphic Encrypted Data at Scale

Kyoohyung Han, Seungwan Hong, Jung Hee Cheon, Daejun Park

9466-9471
- PDF
A Machine Learning Suite for Machine Components’ Health-Monitoring

Ramin Hasani, Guodong Wang, Radu Grosu

9472-9477
- PDF
Leveraging Textual Specifications for Grammar-Based Fuzzing of Network Protocols

Samuel Jero, Maria Leonor Pacheco, Dan Goldwasser, Cristina Nita-Rotaru

9478-9483
- PDF
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

9484-9491
- PDF
Robust Multi-Object Detection Based on Data Augmentation with Realistic Image Synthesis for Point-of-Sale Automation

Saiprasad Koturwar, Soma Shiraishi, Kota Iwamoto

9492-9497
- PDF
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

9498-9503
- PDF
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

9504-9509
- PDF
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

9510-9515
- PDF
Building Trust in Deep Learning System towards Automated Disease Detection

Zhan Wei Lim, Mong Li Lee, Wynne Hsu, Tien Yin Wong

9516-9521
- PDF
Ensemble Machine Learning for Estimating Fetal Weight at Varying Gestational Age

Yu Lu, Xi Zhang, Xianghua Fu, Fangxiong Chen, Kelvin K. L. Wong

9522-9527
- PDF
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

9528-9533
- PDF
Context-Tree Recommendation vs Matrix-Factorization: Algorithm Selection and Live Users Evaluation

Stéphane Martin, Boi Faltings, Vincent Schickel

9534-9540
- PDF
Amsterdam to Dublin Eventually Delayed? LSTM and Transfer Learning for Predicting Delays of Low Cost Airlines

Nicholas McCarthy, Mohammad Karzand, Freddy Lecue

9541-9546
- PDF
Tagging Address Queries in Maps Search

Shekoofeh Mokhtari, Ahmad Mahmoody, Dragomir Yankov, Ning Xie

9547-9551
- PDF
Identifying Semantics in Clinical Reports Using Neural Machine Translation

Srikanth Mujjiga, Vamsi Krishna, Kalyan Chakravarthi, Vijayananda J

9552-9557
- PDF
Artificial Counselor System for Stock Investment

Hadi NekoeiQachkanloo, Benyamin Ghojogh, Ali Saheb Pasand, Mark Crowley

9558-9564
- PDF
Separating Wheat from Chaff: Joining Biomedical Knowledge and Patient Data for Repurposing Medications

Galia Nordon, Gideon Koren, Varda Shalev, Eric Horvitz, Kira Radinsky

9565-9572
- PDF
Discovering Temporal Patterns from Insurance Interaction Data

Maleeha Qazi, Srinivas Tunuguntla, Peng Lee, Teja Kanchinadam, Glenn Fung, Neeraj Arora

9573-9580
- PDF
Enhancing Evolutionary Conversion Rate Optimization via Multi-Armed Bandit Algorithms

Xin Qiu, Risto Miikkulainen

9581-9588
- PDF
Inferring Concept Prerequisite Relations from Online Educational Resources

Sudeshna Roy, Meghana Madhyastha, Sheril Lawrence, Vaibhav Rajan

9589-9594
- PDF
Forecasting Intra-Hour Imbalances in Electric Power Systems

Tárik S. Salem, Karan Kathuria, Heri Ramampiaro, Helge Langseth

9595-9600
- PDF
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

9601-9606
- PDF
DEFSI: Deep Learning Based Epidemic Forecasting with Synthetic Information

Lijing Wang, Jiangzhuo Chen, Madhav Marathe

9607-9612
- PDF
Early Detection of Vacant Parking Spaces Using Dashcam Videos

Ming-Che Wu, Mei-Chen Yeh

9613-9618
- PDF
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

9619-9625
- PDF

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

9627-9634
- PDF
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

9635-9643
- PDF
A Lightweight Approach to Academic Research Group Management Using Online Tools: Spend More Time on Research and Less on Management

Eric Eaton

9644-9647
- PDF
Computational Intractability and Solvability for the Birds of a Feather Game

Richard Hoshino, Max Notarangelo

9648-9655
- PDF
Machine Learning Based Heuristic Search Algorithms to Solve Birds of a Feather Card Game

Bryon Kucharski, Azad Deihim, Mehmet Ergezer

9656-9661
- PDF
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

9662-9669
- PDF
An Integrative Framework for Artificial Intelligence Education

Pat Langley

9670-9677
- PDF
Concept Extraction and Prerequisite Relation Learning from Educational Data

Weiming Lu, Yangfan Zhou, Jiale Yu, Chenhao Jia

9678-9685
- PDF
Efficient Solving of Birds of a Feather Puzzles

Todd W. Neller, Connor Berson, Jivan Kharel, Ryan Smolik

9686-9692
- PDF
Computer Generation of Birds of a Feather Puzzles

Todd W. Neller, Daniel Ziegler

9693-9699
- PDF
A Monte Carlo Tree Search Player for Birds of a Feather Solitaire

Christian Roberson, Katarina Sperduto

9700-9705
- PDF
A Neural Network Approach for Birds of a Feather Solvability Prediction

Benjamin Sang, Sejong Yoon

9706-9712
- PDF
Automatic Generation of Leveled Visual Assessments for Young Learners

Anjali Singh, Ruhi Sharma Mittal, Shubham Atreja, Mourvi Sharma, Seema Nagar, Prasenjit Dey, Mohit Jain

9713-9720
- PDF
Automating Analysis and Feedback to Improve Mathematics Teachers’ Classroom Discourse

Abhijit Suresh, Tamara Sumner, Jennifer Jacobs, Bill Foland, Wayne Ward

9721-9728
- PDF
PopBots: Designing an Artificial Intelligence Curriculum for Early Childhood Education

Randi Williams, Hae Won Park, Lauren Oh, Cynthia Breazeal

9729-9736
- PDF
A Preliminary Report of Integrating Science and Computing Teaching Using Logic Programming

Yuanlin Zhang, Jianlan Wang, Fox Bolduc, William G. Murray, Wendy Staffen

9737-9744
- PDF

EAAI Symposium Papers: Poster Papers

Artificial Intelligence Competencies for Data Science Undergraduate Curricula

Andrea Danyluk, Scott Buck

9746-9747
- PDF
Predicting Unsolvable Deals in the Birds of a Feather Solitaire Game

Richard Hoshino, Maximilian Kahn

9748-9749
- PDF

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

9751-9753
- PDF

Senior Member Presentation Track Papers: Blue Sky Papers

Designing Preferences, Beliefs, and Identities for Artificial Intelligence

Vincent Conitzer

9755-9759
- PDF
Towards Fluid Machine Intelligence: Can We Make a Gifted AI?

Ian Davidson, Peter B. Walker

9760-9764
- PDF
Relating the Structure of a Problem and Its Explanation

Eugene C. Freuder

9765-9769
- PDF
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

9770-9774
- PDF
Explainable, Normative, and Justified Agency

Pat Langley

9775-9779
- PDF
Meaningful Explanations of Black Box AI Decision Systems

Dino Pedreschi, Fosca Giannotti, Riccardo Guidotti, Anna Monreale, Salvatore Ruggieri, Franco Turini

9780-9784
- PDF
Building Ethically Bounded AI

Francesca Rossi, Nicholas Mattei

9785-9789
- PDF
Recommender Systems: A Healthy Obsession

Barry Smyth

9790-9794
- PDF
Envisioning AI for K-12: What Should Every Child Know about AI?

David Touretzky, Christina Gardner-McCune, Fred Martin, Deborah Seehorn

9795-9799
- PDF

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

9801-9807
- PDF
Performance Evaluation in Machine Learning: The Good, the Bad, the Ugly, and the Way Forward

Peter Flach

9808-9814
- PDF
Abstractive Summarization: A Survey of the State of the Art

Hui Lin, Vincent Ng

9815-9822
- PDF
Is Everything Going According to Plan? Expectations in Goal Reasoning Agents

Héctor Muñoz-Avila, Dustin Dannenhauer, Noah Reifsnyder

9823-9829
- PDF
Borda Count in Collective Decision Making: A Summary of Recent Results

Jörg Rothe

9830-9836
- PDF
Machine Learning with Crowdsourcing: A Brief Summary of the Past Research and Future Directions

Victor S. Sheng, Jing Zhang

9837-9843
- PDF

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

9845-9846
- PDF
Proppy: A System to Unmask Propaganda in Online News

Alberto Barrón-Cedeño, Giovanni Da San Martino, Israa Jaradat, Preslav Nakov

9847-9848
- PDF
MAi: An Intelligent Model Acquisition Interface for Interactive Specification of Dialogue Agents

Tathagata Chakraborti, Christian Muise, Shubham Agarwal, Luis A. Lastras

9849-9850
- PDF
NeuroX: A Toolkit for Analyzing Individual Neurons in Neural Networks

Fahim Dalvi, Avery Nortonsmith, Anthony Bau, Yonatan Belinkov, Hassan Sajjad, Nadir Durrani, James Glass

9851-9852
- PDF
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

9853-9854
- PDF
Academic Reader: An Interactive Question Answering System on Academic Literatures

Yining Hong, Jialu Wang, Yuting Jia, Weinan Zhang, Xinbing Wang

9855-9856
- PDF
A General Planning-Based Framework for Goal-Driven Conversation Assistant

Zhuoxuan Jiang, Jie Ma, Jingyi Lu, Guangyuan Yu, Yipeng Yu, Shaochun Li

9857-9858
- PDF
Scientific Article Search System Based on Discourse Facet Representation

Yuta Kobayashi, Hiroyuki Shindo, Yuji Matsumoto

9859-9860
- PDF
QADiver: Interactive Framework for Diagnosing QA Models

Gyeongbok Lee, Sungdong Kim, Seung-won Hwang

9861-9862
- PDF
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

9863-9864
- PDF
Realtime Generation of Audible Textures Inspired by a Video Stream

Simone Mellace, Jérôme Guzzi, Alessandro Giusti, Luca M. Gambardella

9865-9866
- PDF
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

9867-9868
- PDF
DBA: Dynamic Multi-Armed Bandit Algorithm

Sadegh Nobari

9869-9870
- PDF
Temporal Video Analyzer (TVAN): Efficient Temporal Video Analysis for Robust Video Description and Search

Daniel Rotman, Dror Porat, Yevgeny Burshtein, Udi Barzelay

9871-9872
- PDF
K3S: Knowledge-Driven Solution Support System

Yu Zhang, Morteza Saberi, Min Wang, Elizabeth Chang

9873-9874
- PDF

Doctoral Consortium Track Abstracts

A Theory of State Abstraction for Reinforcement Learning

David Abel

9876-9877
- PDF
Multi-Agent Coordination under Uncertain Communication

Nikhil Bhargava

9878-9879
- PDF
Adaptive Planning with Evidence Based Prediction for Improved Fluency in Routine Human-Robot Collaborative Tasks

Christopher K. Fourie

9880-9881
- PDF
Expressive Real-Time Intersection Scheduling

Rick Goldstein

9882-9883
- PDF
Reinforcement Learning for Improved Low Resource Dialogue Generation

Ana V. González-Garduño

9884-9885
- PDF
Counterfactual Reasoning in Observational Studies

Negar Hassanpour

9886-9887
- PDF
Using Automated Agents to Teach Negotiation

Emmanuel Johnson

9888-9889
- PDF
Learning Generalized Temporal Abstractions across Both Action and Perception

Khimya Khetarpal

9890-9891
- PDF
Multi-View Learning from Disparate Sources for Poverty Mapping

Neeti Pokhriyal

9892-9893
- PDF
Numerical Optimization to AI, and Back

Sathya N. Ravi

9894-9895
- PDF
Adaptive Modeling for Risk-Aware Decision Making

Sandhya Saisubramanian

9896-9897
- PDF
Parameterized Heuristics for Incomplete Weighted CSPs

Atena M. Tabakhi

9898-9899
- PDF
Imitation Learning from Observation

Faraz Torabi

9900-9901
- PDF
Verifiable and Interpretable Reinforcement Learning through Program Synthesis

Abhinav Verma

9902-9903
- PDF
Stochastic Goal Recognition Design

Christabel Wayllace

9904-9905
- PDF
Attention Guided Imitation Learning and Reinforcement Learning

Ruohan Zhang

9906-9907
- PDF

Student Abstracts

CommNets: Communicating Neural Network Architectures for Resource Constrained Systems

Prince M Abudu

9909-9910
- PDF
Identifying Android Malware Using Network-Based Approaches

Emily Alfs, Doina Caragea, Nathan Albin, Pietro Poggi-Corradini

9911-9912
- PDF
Learning Flexible Latent Representations via Encapsulated Variational Encoders

Wenjun Bai, Changqin Quan, Zhi-Wei Luo

9913-9914
- PDF
An SVM-Based Framework for Long-Term Learning Systems

Diana Benavides-Prado

9915-9916
- PDF
Partners in Crime: Manipulating the Deferred Acceptance Algorithm through an Accomplice

Theodora Bendlin, Hadi Hosseini

9917-9918
- PDF
Building Human-Machine Trust via Interpretability

Umang Bhatt, Pradeep Ravikumar, Jos´e M. F. Moura

9919-9920
- PDF
Matroid Constrained Fair Allocation Problem

Arpita Biswas, Siddharth Barman

9921-9922
- PDF
An Imperfect Algorithm for Coalition Structure Generation

Narayan Changder, Samir Aknine, Animesh Dutta

9923-9924
- PDF
Robust Principal Component Analysis-Based Infrared Small Target Detection

Qiwei Chen, Cheng Wu, Yiming Wang

9925-9926
- PDF
WAIS: Word Attention for Joint Intent Detection and Slot Filling

Sixuan Chen, Shuai Yu

9927-9928
- PDF
T-Center: A Novel Discriminative Feature Extraction Approach for Iris Recognition

Yifeng Chen, Cheng Wu, Yiming Wang

9929-9930
- PDF
Type Sequence Preserving Heterogeneous Information Network Embedding

Yuxin Chen, Tengjiao Wang, Wei Chen, Qiang Li, Zhen Qiu

9931-9932
- PDF
CSEye: A Proposed Solution for Accurate and Accessible One-to-Many Face Verification

Ameer Dharamshi, Rosie Yuyan Zou

9933-9934
- PDF
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

9935-9936
- PDF
A Meta-Learning Approach for Custom Model Training

Amir Erfan Eshratifar, Mohammad Saeed Abrishami, David Eigen, Massoud Pedram

9937-9938
- PDF
Reinforcement Learning under Threats

Victor Gallego, Roi Naveiro, David Rios Insua

9939-9940
- PDF
What’s Most Broken? A Tool to Assist Data-Driven Iterative Improvement of an Intelligent Tutoring System

Mononito Goswami, Shiven Mian, Jack Mostow

9941-9942
- PDF
WSD-GAN: Word Sense Disambiguation Using Generative Adversarial Networks

Zijian Hu, Fuli Luo, Yutong Tan, Wenxin Zeng, Zhifang Sui

9943-9944
- PDF
Higher-Order Multi-Layer Community Detection

Ling Huang, Chang-Dong Wang, Hong-Yang Chao

9945-9946
- PDF
AVS-Net: Automatic Visual Surveillance Using Relation Network

Sein Jang, Young-Ho Park, Aziz Nasridinov

9947-9948
- PDF
Dynamic Vehicle Traffic Control Using Deep Reinforcement Learning in Automated Material Handling System

Younkook Kang, Sungwon Lyu, Jeeyung Kim, Bongjoon Park, Sungzoon Cho

9949-9950
- PDF
Mind Your Language: Abuse and Offense Detection for Code-Switched Languages

Raghav Kapoor, Yaman Kumar, Kshitij Rajput, Rajiv Ratn Shah, Ponnurangam Kumaraguru, Roger Zimmermann

9951-9952
- PDF
A Dynamic Bayesian Network Based Merge Mechanism for Autonomous Vehicles

Kherroubi Zine el Abidine, Aknine Samir, Bacha Rebiha

9953-9954
- PDF
Learning Options with Interest Functions

Khimya Khetarpal, Doina Precup

9955-9956
- PDF
Variational BEJG Solvers for Marginal-MAP Inference with Accurate Approximation of B-Conditional Entropy

Igor Kiselev

9957-9958
- PDF
SAX Breakpoints for Random Forest Based Real-Time Contrast Control Chart

In-Seok Lee, Jun-Geol Baek

9959-9960
- PDF
Comparing Sample-Wise Learnability across Deep Neural Network Models

Seung-Geon Lee, Jaedeok Kim, Hyun-Joo Jung, Yoonsuck Choe

9961-9962
- PDF
Video-Based Sentiment Analysis with hvnLBP-TOP Feature and bi-LSTM

Haoran Li, Hua Xu

9963-9964
- PDF
Cross-Domain Recommendation via Coupled Factorization Machines

Lile Li, Quan Do, Wei Liu

9965-9966
- PDF
Efficient Neutrino Oscillation Parameter Inference with Gaussian Process

Lingge Li, Nitish Nayak, Jianming Bian, Pierre Baldi

9967-9968
- PDF
A Fuzzy Set Based Approach for Rating Bias

Mingming Li, Jiao Dai, Fuqing Zhu, Liangjun Zang, Songlin Hu, Jizhong Han

9969-9970
- PDF
Meta-Path Augmented Response Generation

Yanran Li, Wenjie Li

9971-9972
- PDF
Teaching Machines to Extract Main Content for Machine Reading Comprehension

Zhaohui Li, Yue Feng, Jun Xu, Jiafeng Guo, Yanyan Lan, Xueqi Cheng

9973-9974
- PDF
Location-Based End-to-End Speech Recognition with Multiple Language Models

Zhijie Lin, Kaiyang Lin, Shiling Chen, Linlin Li, Zhou Zhao

9975-9976
- PDF
Loss-Balanced Task Weighting to Reduce Negative Transfer in Multi-Task Learning

Shengchao Liu, Yingyu Liang, Anthony Gitter

9977-9978
- PDF
Deep Reinforcement Learning via Past-Success Directed Exploration

Xiaoming Liu, Zhixiong Xu, Lei Cao, Xiliang Chen, Kai Kang

9979-9980
- PDF
Jointly Multiple Hash Learning

Xingbo Liu, Xiushan Nie, Yingxin Wang, Yilong Yin

9981-9982
- PDF
Ethically Aligned Mobilization of Community Effort to Reposition Shared Bikes

Zelei Liu, Han Yu, Leye Wang, Liang Hu, Qiang Yang

9983-9984
- PDF
Towards to Reasonable Decision Basis in Automatic Bone X-Ray Image Classification: A Weakly-Supervised Approach

Jianjie Lu, Kai-yu Tong

9985-9986
- PDF
A Multi-Task Learning Framework for Abstractive Text Summarization

Yao Lu, Linqing Liu, Zhile Jiang, Min Yang, Randy Goebel

9987-9988
- PDF
The Level Weighted Structural Similarity Loss: A Step Away from MSE

Yingjing Lu

9989-9990
- PDF
Adaptive Optimization Framework for Control of Multi-Agent Systems

Anna Lukina

9991-9992
- PDF
Learning Document Embeddings with Crossword Prediction

Junyu Luo, Min Yang, Ying Shen, Qiang Qu, Haixia Chai

9993-9994
- PDF
Logic-Based Sequential Decision-Making

Daoming Lyu, Fangkai Yang, Bo Liu, Daesub Yoon

9995-9996
- PDF
On the Role of Syntactic Graph Convolutions for Identifying and Classifying Argument Components

Gaku Morio, Katsuhide Fujita

9997-9998
- PDF
Frontier Search and Plan Reconstruction in Oversubscription Planning

Daniel Muller

9999-10000
- PDF
An Improved Hierarchical Datastructure for Nearest Neighbor Search

Mengdie Nie, Zhi-Jie Wang, Chunjing Gan, Zhe Quan, Bin Yao, Jian Yin

10001-10002
- PDF
Regularizing Fully Convolutional Networks for Time Series Classification by Decorrelating Filters

Kaushal Paneri, Vishnu TV, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff

10003-10004
- PDF
A Feasibility Test on Preventing PRMDs Based on Deep Learning

So-Hyun Park, Sun-Young Ihm, Aziz Nasridinov, Young-Ho Park

10005-10006
- PDF
Strategic Tasks for Explainable Reinforcement Learning

Rey Pocius, Lawrence Neal, Alan Fern

10007-10008
- PDF
Learning Representations in Model-Free Hierarchical Reinforcement Learning

Jacob Rafati, David C. Noelle

10009-10010
- PDF
EWGAN: Entropy-Based Wasserstein GAN for Imbalanced Learning

Jinfu Ren, Yang Liu, Jiming Liu

10011-10012
- PDF
Emergency Department Online Patient-Caregiver Scheduling

Hanan Rosemarin, Ariel Rosenfeld, Sarit Kraus

10013-10014
- PDF
Learning to Transfer Relational Representations through Analogy

Gaetano Rossiello, Alfio Gliozzo, Michael Glass

10015-10016
- PDF
Towards Better Accuracy and Robustness with Localized Adversarial Training

Eitan Rothberg, Tingting Chen, Hao Ji

10017-10018
- PDF
Hierarchical Deep Feature Learning for Decoding Imagined Speech from EEG

Pramit Saha, Sidney Fels

10019-10020
- PDF
Implementation of Boolean AND and OR Logic Gates with Biologically Reasonable Time Constants in Spiking Neural Networks

Lakshay Sahni, Debasrita Chakraborty, Ashish Ghosh

10021-10022
- PDF
Lipper: Speaker Independent Speech Synthesis Using Multi-View Lipreading

Khwaja Mohd. Salik, Swati Aggarwal, Yaman Kumar, Rajiv Ratn Shah, Rohit Jain, Roger Zimmermann

10023-10024
- PDF
A Whole New Ball Game: Harvesting Game Data for Player Profiling

Ivan Samborskii, Aleksandr Farseev, Andrey Filchenkov, Tat-Seng Chua

10025-10026
- PDF
Towards Task Understanding in Visual Settings

Sebastin Santy, Wazeer Zulfikar, Rishabh Mehrotra, Emine Yilmaz

10027-10028
- PDF
Examining Political Trustworthiness through Text-Based Measures of Ideology

Eitan Sapiro-Gheiler

10029-10030
- PDF
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

10031-10032
- PDF
MIGAN: Malware Image Synthesis Using GANs

Abhishek Singh, Debojyoti Dutta, Amit Saha

10033-10034
- PDF
Desiderata for Interpretability: Explaining Decision Tree Predictions with Counterfactuals

Kacper Sokol, Peter Flach

10035-10036
- PDF
Towards Sequence-to-Sequence Reinforcement Learning for Constraint Solving with Constraint-Based Local Search

Helge Spieker

10037-10038
- PDF
Identifying Bottlenecks in Practical SAT-Based Model Finding for First-Order Logic Ontologies with Datasets

Shirly Stephen, Torsten Hahmann

10039-10040
- PDF
An Adaptive Framework for Conversational Question Answering

Lixin Su, Jiafeng Guo, Yixing Fan, Yanyan Lan, Ruqing Zhang, Xueqi Cheng

10041-10042
- PDF
Symmetrization for Embedding Directed Graphs

Jiankai Sun, Srinivasan Parthasarathy

10043-10044
- PDF
Parameterized Heuristics for Incomplete Weighted CSPs

Atena M. Tabakhi

10045-10046
- PDF
Semi-Supervised Learning for Electron Microscopy Image Segmentation

Eichi Takaya, Yusuke Takeichi, Mamiko Ozaki, Satoshi Kurihara

10047-10048
- PDF
An Optimal Rewiring Strategy for Cooperative Multiagent Social Learning

Hongyao Tang, Jianye Hao, Li Wang, Tim Baarslag, Zan Wang

10049-10050
- PDF
Binary Classifier Inspired by Quantum Theory

Prayag Tiwari, Massimo Melucci

10051-10052
- PDF
MaMiC: Macro and Micro Curriculum for Robotic Reinforcement Learning

Manan Tomar, Akhil Sathuluri, Balaraman Ravindran

10053-10054
- PDF
Robust Facial Landmark Localization Based on Two-Stage Cascaded Pose Regression

Ziye Tong, Junwei Zhou, Yanchao Yang, Lee-Ming Cheng

10055-10056
- PDF
Dynamically Identifying Deep Multimodal Features for Image Privacy Prediction

Ashwini Tonge, Cornelia Caragea

10057-10058
- PDF
Transductive Zero-Shot Learning via Visual Center Adaptation

Ziyu Wan, Yan Li, Min Yang, Junge Zhang

10059-10060
- PDF
Heterogeneous Attributed Network Embedding with Graph Convolutional Networks

Yueyang Wang, Ziheng Duan, Binbing Liao, Fei Wu, Yueting Zhuang

10061-10062
- PDF
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

10063-10064
- PDF
DSINE: Deep Structural Influence Learning via Network Embedding

Jianjun Wu, Ying Sha, Bo Jiang, Jianlong Tan

10065-10066
- PDF
Incorporating Context-Relevant Knowledge into Convolutional Neural Networks for Short Text Classification

Jingyun Xu, Yi Cai

10067-10068
- PDF
Towards Gene Function Prediction via Multi-Networks Representation Learning

Hansheng Xue, Jiajie Peng, Xuequn Shang

10069-10070
- PDF
Manifold Distance-Based Over-Sampling Technique for Class Imbalance Learning

Lingkai Yang, Yinan Guo, Jian Cheng

10071-10072
- PDF
APRP: An Anonymous Propagation Method in Bitcoin Network

Yuhang Yao, Xiao Zeng, Tianyue Cao, Luoyi Fu, Xinbing Wang

10073-10074
- PDF
Sequence to Sequence Learning for Query Expansion

Salah Zaiem, Fatiha Sadat

10075-10076
- PDF
Adversarial Framing for Image and Video Classification

Michał Zajac, Konrad Zołna, Negar Rostamzadeh, Pedro O. Pinheiro

10077-10078
- PDF
Computing Argumentative Explanations in Bipolar Argumentation Frameworks

Zhiwei Zeng, Chunyan Miao, Cyril Leung, Zhiqi Shen, Jing Jih Chin

10079-10080
- PDF
Geometric Multi-Model Fitting by Deep Reinforcement Learning

Zongliang Zhang, Hongbin Zeng, Jonathan Li, Yiping Chen, Chenhui Yang, Cheng Wang

10081-10082
- PDF
Semi-Supervised Feature Selection with Adaptive Discriminant Analysis

Weichan Zhong, Xiaojun Chen, Guowen Yuan, Yiqin Li, Feiping Nie

10083-10084
- PDF
Adaptation Strategies for Applying AWGN-Based Denoiser to Realistic Noise

Yuqian Zhou, Jianbo Jiao, Haibin Huang, Jue Wang, Thomas Huang

10085-10086
- PDF
Classifier-Agnostic Saliency Map Extraction

Konrad Zołna, Krzysztof J. Geras, Kyunghyun Cho

10087-10088
- PDF

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The AAAI Conference on Artificial Intelligence — AAAI’s primary conference — promotes theoretical and applied AI research as well as intellectual interchange among researchers and practitioners. Begun in 1980 (when it was called the National Conference on Artificial Intelligence), the proceedings has been published continuously since that date. The technical program features substantial, original research and practices. Conference panel discussions and invited presentations identify significant social, philosophical, and economic issues influencing AI’s development throughout the world.

The technical papers in the proceedings are selected through a rigorous, blind, peer-review process.