Published by the AAAI Press, Palo Alto, California USA
Copyright © 2019, Association for the Advancement of Artificial Intelligence
2275 East Bayshore Road, Suite 160 Palo Alto, California 94303
All rights reserved. No part of this book may be reproduced in any form by any electronic or mechanical means (including photocopying, recording, or information storage and retrieval) without permission in writing from the publisher.

10,300 pp., illus, references.
ISSN 2374-3468 (Online)
Volume 33 Number 1 (2019)

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

Open Access Date: 2019-07-23

The AAAI Conference on Artificial Intelligence promotes theoretical and applied AI research as well as intellectual interchange among researchers and practitioners. The technical program features substantial, original research and practices influencing AI's development throughout the world.

The surge in public interest in AI technologies, that we have witnessed over the past few years, continued to accelerate in 2018-2019, with the societal and economic impact of AI becoming a point of public and government discussion worldwide. AAAI-19 saw a record number of submissions and attendance numbers in the history of AAAI series of conferences. AAAI-19 continued its tradition of attracting top-quality papers from all areas of AI. Moreover, in 2019, we were excited to see increases in submissions across almost all areas and especially in reasoning under uncertainty, applications, humans and AI, as well as in the big three: machine learning, computer vision and natural language processing.

The AAAI-19 program consisted of a core technical program of original research presentations. It additionally featured a broad range of tutorials, workshops, invited talks and panels, student abstracts, a debate, and presentations by senior members. The program was rounded out by technical demonstrations, exhibits, the AI job fair, the student outreach program, and a game night. AAAI-19 continued its tradition of colocating with the long-running IAAI conference and the EAAI symposium.

Contents

AAAI Technical Track: AI and the Web

Incorporating Behavioral Constraints in Online AI Systems
Avinash Balakrishnan, Djallel Bouneffouf, Nicholas Mattei, Francesca Rossi
Pages 3-11 |  PDF

Outlier Aware Network Embedding for Attributed Networks
Sambaran Bandyopadhyay, N. Lokesh, M. N. Murty
Pages 12-19 |  PDF

Comparative Document Summarisation via Classification
Umanga Bista, Alexander Mathews, Minjeong Shin, Aditya Krishna Menon, Lexing Xie
Pages 20-28 |  PDF

ColNet: Embedding the Semantics of Web Tables for Column Type Prediction
Jiaoyan Chen, Ernesto Jiménez-Ruiz, Ian Horrocks, Charles Sutton
Pages 29-36 |  PDF

Improving One-Class Collaborative Filtering via Ranking-Based Implicit Regularizer
Jin Chen, Defu Lian, Kai Zheng
Pages 37-44 |  PDF

Answer Identification from Product Reviews for User Questions by Multi-Task Attentive Networks
Long Chen, Ziyu Guan, Wei Zhao, Wanqing Zhao, Xiaopeng Wang, Zhou Zhao, Huan Sun
Pages 45-52 |  PDF

Dynamic Explainable Recommendation Based on Neural Attentive Models
Xu Chen, Yongfeng Zhang, Zheng Qin
Pages 53-60 |  PDF

DeepCF: A Unified Framework of Representation Learning and Matching Function Learning in Recommender System
Zhi-Hong Deng, Ling Huang, Chang-Dong Wang, Jian-Huang Lai, Philip S. Yu
Pages 61-68 |  PDF

TableSense: Spreadsheet Table Detection with Convolutional Neural Networks
Haoyu Dong, Shijie Liu, Shi Han, Zhouyu Fu, Dongmei Zhang
Pages 69-76 |  PDF

Triple Classification Using Regions and Fine-Grained Entity Typing
Tiansi Dong, Zhigang Wang, Juanzi Li, Christian Bauckhage, Armin B. Cremers
Pages 77-85 |  PDF

Dynamic Layer Aggregation for Neural Machine Translation with Routing-by-Agreement
Zi-Yi Dou, Zhaopeng Tu, Xing Wang, Longyue Wang, Shuming Shi, Tong Zhang
Pages 86-93 |  PDF

Deeply Fusing Reviews and Contents for Cold Start Users in Cross-Domain Recommendation Systems
Wenjing Fu, Zhaohui Peng, Senzhang Wang, Yang Xu, Jin Li
Pages 94-101 |  PDF

Feature Sampling Based Unsupervised Semantic Clustering for Real Web Multi-View Content
Xiaolong Gong, Linpeng Huang, Fuwei Wang
Pages 102-109 |  PDF

Cooperative Multimodal Approach to Depression Detection in Twitter
Tao Gui, Liang Zhu, Qi Zhang, Minlong Peng, Xu Zhou, Keyu Ding, Zhigang Chen
Pages 110-117 |  PDF

Anchors Bring Ease: An Embarrassingly Simple Approach to Partial Multi-View Clustering
Jun Guo, Jiahui Ye
Pages 118-125 |  PDF

Y2Seq2Seq: Cross-Modal Representation Learning for 3D Shape and Text by Joint Reconstruction and Prediction of View and Word Sequences
Zhizhong Han, Mingyang Shang, Xiyang Wang, Yu-Shen Liu, Matthias Zwicker
Pages 126-133 |  PDF

Learning to Align Question and Answer Utterances in Customer Service Conversation with Recurrent Pointer Networks
Shizhu He, Kang Liu, Weiting An
Pages 134-141 |  PDF

Exploiting Background Knowledge in Compact Answer Generation for Why-Questions
Ryu Iida, Canasai Kruengkrai, Ryo Ishida, Kentaro Torisawa, Jong-Hoon Oh, Julien Kloetzer
Pages 142-151 |  PDF

Graph Convolutional Networks Meet Markov Random Fields: Semi-Supervised Community Detection in Attribute Networks
Di Jin, Ziyang Liu, Weihao Li, Dongxiao He, Weixiong Zhang
Pages 152-159 |  PDF

Incorporating Network Embedding into Markov Random Field for Better Community Detection
Di Jin, Xinxin You, Weihao Li, Dongxiao He, Peng Cui, Françoise Fogelman-Soulié, Tanmoy Chakraborty
Pages 160-167 |  PDF

Crawling the Community Structure of Multiplex Networks
Ricky Laishram, Jeremy D. Wendt, Sucheta Soundarajan
Pages 168-175 |  PDF

Coupled CycleGAN: Unsupervised Hashing Network for Cross-Modal Retrieval
Chao Li, Cheng Deng, Lei Wang, De Xie, Xianglong Liu
Pages 176-183 |  PDF

Supervised User Ranking in Signed Social Networks
Xiaoming Li, Hui Fang, Jie Zhang
Pages 184-191 |  PDF

Personalized Question Routing via Heterogeneous Network Embedding
Zeyu Li, Jyun-Yu Jiang, Yizhou Sun, Wei Wang
Pages 192-199 |  PDF

Popularity Prediction on Online Articles with Deep Fusion of Temporal Process and Content Features
Dongliang Liao, Jin Xu, Gongfu Li, Weijie Huang, Weiqing Liu, Jing Li
Pages 200-207 |  PDF

Discrete Social Recommendation
Chenghao Liu, Xin Wang, Tao Lu, Wenwu Zhu, Jianling Sun, Steven C. H. Hoi
Pages 208-215 |  PDF

SNR: Sub-Network Routing for Flexible Parameter Sharing in Multi-Task Learning
Jiaqi Ma, Zhe Zhao, Jilin Chen, Ang Li, Lichan Hong, Ed H. Chi
Pages 216-223 |  PDF

DTMT: A Novel Deep Transition Architecture for Neural Machine Translation
Fandong Meng, Jinchao Zhang
Pages 224-231 |  PDF

Multi-Perspective Relevance Matching with Hierarchical ConvNets for Social Media Search
Jinfeng Rao, Wei Yang, Yuhao Zhang, Ferhan Ture, Jimmy Lin
Pages 232-240 |  PDF

Unsupervised Neural Machine Translation with SMT as Posterior Regularization
Shuo Ren, Zhirui Zhang, Shujie Liu, Ming Zhou, Shuai Ma
Pages 241-248 |  PDF

Mining Entity Synonyms with Efficient Neural Set Generation
Jiaming Shen, Ruiliang Lyu, Xiang Ren, Michelle Vanni, Brian Sadler, Jiawei Han
Pages 249-256 |  PDF

Surveys without Questions: A Reinforcement Learning Approach
Atanu R Sinha, Deepali Jain, Nikhil Sheoran, Sopan Khosla, Reshmi Sasidharan
Pages 257-264 |  PDF

ATP: Directed Graph Embedding with Asymmetric Transitivity Preservation
Jiankai Sun, Bortik Bandyopadhyay, Armin Bashizade, Jiongqian Liang, P. Sadayappan, Srinivasan Parthasarathy
Pages 265-272 |  PDF

Learning from Web Data Using Adversarial Discriminative Neural Networks for Fine-Grained Classification
Xiaoxiao Sun, Liyi Chen, Jufeng Yang
Pages 273-280 |  PDF

Meimei: An Efficient Probabilistic Approach for Semantically Annotating Tables
Kunihiro Takeoka, Masafumi Oyamada, Shinji Nakadai, Takeshi Okadome
Pages 281-288 |  PDF

DeepTileBars: Visualizing Term Distribution for Neural Information Retrieval
Zhiwen Tang, Grace Hui Yang
Pages 289-296 |  PDF

Entity Alignment between Knowledge Graphs Using Attribute Embeddings
Bayu Distiawan Trisedya, Jianzhong Qi, Rui Zhang
Pages 297-304 |  PDF

VistaNet: Visual Aspect Attention Network for Multimodal Sentiment Analysis
Quoc-Tuan Truong, Hady W. Lauw
Pages 305-312 |  PDF

UGSD: User Generated Sentiment Dictionaries from Online Customer Reviews
Chun-Hsiang Wang, Kang-Chun Fan, Chuan-Ju Wang, Ming-Feng Tsai
Pages 313-320 |  PDF

Community Detection in Social Networks Considering Topic Correlations
Yingkui Wang, Di Jin, Katarzyna Musial, Jianwu Dang
Pages 321-328 |  PDF

Community Focusing: Yet Another Query-Dependent Community Detection
Zhuo Wang, Weiping Wang, Chaokun Wang, Xiaoyan Gu, Bo Li, Dan Meng
Pages 329-337 |  PDF

Multi-Level Deep Cascade Trees for Conversion Rate Prediction in Recommendation System
Hong Wen, Jing Zhang, Quan Lin, Keping Yang, Pipei Huang
Pages 338-345 |  PDF

Session-Based Recommendation with Graph Neural Networks
Shu Wu, Yuyuan Tang, Yanqiao Zhu, Liang Wang, Xing Xie, Tieniu Tan
Pages 346-353 |  PDF

CISI-net: Explicit Latent Content Inference and Imitated Style Rendering for Image Inpainting
Jing Xiao, Liang Liao, Qiegen Liu, Ruimin Hu
Pages 354-362 |  PDF

Structured and Sparse Annotations for Image Emotion Distribution Learning
Haitao Xiong, Hongfu Liu, Bineng Zhong, Yun Fu
Pages 363-370 |  PDF

Multi-Interactive Memory Network for Aspect Based Multimodal Sentiment Analysis
Nan Xu, Wenji Mao, Guandan Chen
Pages 371-378 |  PDF

Multi-View Information-Theoretic Co-Clustering for Co-Occurrence Data
Peng Xu, Zhaohong Deng, Kup-Sze Choi, Longbing Cao, Shitong Wang
Pages 379-386 |  PDF

Context-Aware Self-Attention Networks
Baosong Yang, Jian Li, Derek F. Wong, Lidia S. Chao, Xing Wang, Zhaopeng Tu
Pages 387-394 |  PDF

Adversarial Training for Community Question Answer Selection Based on Multi-Scale Matching
Xiao Yang, Madian Khabsa, Miaosen Wang, Wei Wang, Ahmed Hassan Awadallah, Daniel Kifer, C. Lee Giles
Pages 395-402 |  PDF

TransNFCM: Translation-Based Neural Fashion Compatibility Modeling
Xun Yang, Yunshan Ma, Lizi Liao, Meng Wang, Tat-Seng Chua
Pages 403-410 |  PDF

Data Augmentation Based on Adversarial Autoencoder Handling Imbalance for Learning to Rank
Qian Yu, Wai Lam
Pages 411-418 |  PDF

Cross-Relation Cross-Bag Attention for Distantly-Supervised Relation Extraction
Yujin Yuan, Liyuan Liu, Siliang Tang, Zhongfei Zhang, Yueting Zhuang, Shiliang Pu, Fei Wu, Xiang Ren
Pages 419-426 |  PDF

Text Assisted Insight Ranking Using Context-Aware Memory Network
Qi Zeng, Liangchen Luo, Wenhao Huang, Yang Tang
Pages 427-434 |  PDF

Hierarchical Reinforcement Learning for Course Recommendation in MOOCs
Jing Zhang, Bowen Hao, Bo Chen, Cuiping Li, Hong Chen, Jimeng Sun
Pages 435-442 |  PDF

Regularizing Neural Machine Translation by Target-Bidirectional Agreement
Zhirui Zhang, Shuangzhi Wu, Shujie Liu, Mu Li, Ming Zhou, Tong Xu
Pages 443-450 |  PDF

Addressing the Under-Translation Problem from the Entropy Perspective
Yang Zhao, Jiajun Zhang, Chengqing Zong, Zhongjun He, Hua Wu
Pages 451-458 |  PDF

Robust Online Matching with User Arrival Distribution Drift
Yu-Hang Zhou, Chen Liang, Nan Li, Cheng Yang, Shenghuo Zhu, Rong Jin
Pages 459-466 |  PDF

AAAI Technical Track: AI for Social Impact

Predicting Hurricane Trajectories Using a Recurrent Neural Network
Sheila Alemany, Jonathan Beltran, Adrian Perez, Sam Ganzfried
Pages 468-475 |  PDF

Automatic Detection and Compression for Passive Acoustic Monitoring of the African Forest Elephant
Johan Bjorck, Brendan H. Rappazzo, Di Chen, Richard Bernstein, Peter H. Wrege, Carla P. Gomes
Pages 476-484 |  PDF

Gated Residual Recurrent Graph Neural Networks for Traffic Prediction
Cen Chen, Kenli Li, Sin G. Teo, Xiaofeng Zou, Kang Wang, Jie Wang, Zeng Zeng
Pages 485-492 |  PDF

Bias Reduction via End-to-End Shift Learning: Application to Citizen Science
Di Chen, Carla P. Gomes
Pages 493-500 |  PDF

Coverage Centrality Maximization in Undirected Networks
Gianlorenzo D’Angelo, Martin Olsen, Lorenzo Severini
Pages 501-508 |  PDF

Bayesian Fairness
Christos Dimitrakakis, Yang Liu, David C. Parkes, Goran Radanovic
Pages 509-516 |  PDF

Understanding Dropouts in MOOCs
Wenzheng Feng, Jie Tang, Tracy Xiao Liu
Pages 517-524 |  PDF

Blameworthiness in Multi-Agent Settings
Meir Friedenberg, Joseph Y. Halpern
Pages 525-532 |  PDF

Optimal Surveillance of Covert Networks by Minimizing Inverse Geodesic Length
Serge Gaspers, Kamran Najeebullah
Pages 533-540 |  PDF

Resisting Adversarial Attacks Using Gaussian Mixture Variational Autoencoders
Partha Ghosh, Arpan Losalka, Michael J. Black
Pages 541-548 |  PDF

Migration as Submodular Optimization
Paul Gölz, Ariel D. Procaccia
Pages 549-556 |  PDF

PGANs: Personalized Generative Adversarial Networks for ECG Synthesis to Improve Patient-Specific Deep ECG Classification
Tomer Golany, Kira Radinsky
Pages 557-564 |  PDF

Selecting Compliant Agents for Opt-in Micro-Tolling
Josiah P. Hanna, Guni Sharon, Stephen D. Boyles, Peter Stone
Pages 565-572 |  PDF

HireNet: A Hierarchical Attention Model for the Automatic Analysis of Asynchronous Video Job Interviews
Léo Hemamou, Ghazi Felhi, Vincent Vandenbussche, Jean-Claude Martin, Chloé Clavel
Pages 573-581 |  PDF

Learning Diffusions without Timestamps
Hao Huang, Qian Yan, Ting Gan, Di Niu, Wei Lu, Yunjun Gao
Pages 582-589 |  PDF

CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison
Jeremy Irvin, Pranav Rajpurkar, Michael Ko, Yifan Yu, Silviana Ciurea-Ilcus, Chris Chute, Henrik Marklund, Behzad Haghgoo, Robyn Ball, Katie Shpanskaya, Jayne Seekins, David A. Mong, Safwan S. Halabi, Jesse K. Sandberg, Ricky Jones, David B. Larson, Curtis P. Langlotz, Bhavik N. Patel, Matthew P. Lungren, Andrew Y. Ng
Pages 590-597 |  PDF

Evolutionarily Learning Multi-Aspect Interactions and Influences from Network Structure and Node Content
Songlei Jian, Liang Hu, Longbing Cao, Kai Lu, Hang Gao
Pages 598-605 |  PDF

Multi-GCN: Graph Convolutional Networks for Multi-View Networks, with Applications to Global Poverty
Muhammad Raza Khan, Joshua E. Blumenstock
Pages 606-613 |  PDF

Algorithms for Estimating Trends in Global Temperature Volatility
Arash Khodadadi, Daniel J. McDonald
Pages 614-621 |  PDF

Allocating Interventions Based on Predicted Outcomes: A Case Study on Homelessness Services
Amanda Kube, Sanmay Das, Patrick J. Fowler
Pages 622-629 |  PDF

ReAl-LiFE: Accelerating the Discovery of Individualized Brain Connectomes on GPUs
Sawan Kumar, Varsha Sreenivasan, Partha Talukdar, Franco Pestilli, Devarajan Sridharan
Pages 630-638 |  PDF

Latent Dirichlet Allocation for Internet Price War
Chenchen Li, Xiang Yan, Xiaotie Deng, Yuan Qi, Wei Chu, Le Song, Junlong Qiao, Jianshan He, Junwu Xiong
Pages 639-646 |  PDF

Deep Hierarchical Graph Convolution for Election Prediction from Geospatial Census Data
Mike Li, Elija Perrier, Chang Xu
Pages 647-654 |  PDF

Who Blames Whom in a Crisis? Detecting Blame Ties from News Articles Using Neural Networks
Shuailong Liang, Olivia Nicol, Yue Zhang
Pages 655-662 |  PDF

Convex Formulations for Fair Principal Component Analysis
Matt Olfat, Anil Aswani
Pages 663-670 |  PDF

Violence Rating Prediction from Movie Scripts
Victor R. Martinez, Krishna Somandepalli, Karan Singla, Anil Ramakrishna, Yalda T. Uhls, Shrikanth Narayanan
Pages 671-678 |  PDF

Image Aesthetic Assessment Assisted by Attributes through Adversarial Learning
Bowen Pan, Shangfei Wang, Qisheng Jiang
Pages 679-686 |  PDF

A Model-Free Affective Reinforcement Learning Approach to Personalization of an Autonomous Social Robot Companion for Early Literacy Education
Hae Won Park, Ishaan Grover, Samuel Spaulding, Louis Gomez, Cynthia Breazeal
Pages 687-694 |  PDF

Emergency Department Online Patient-Caregiver Scheduling
Hanan Rosemarin, Ariel Rosenfeld, Sarit Kraus
Pages 695-701 |  PDF

Multi3Net: Segmenting Flooded Buildings via Fusion of Multiresolution, Multisensor, and Multitemporal Satellite Imagery
Tim G. J. Rudner, Marc Rußwurm, Jakub Fil, Ramona Pelich, Benjamin Bischke, Veronika Kopačková, Piotr Biliński
Pages 702-709 |  PDF

Learning to Address Health Inequality in the United States with a Bayesian Decision Network
Tavpritesh Sethi, Anant Mittal, Shubham Maheshwari, Samarth Chugh
Pages 710-717 |  PDF

Axiomatic Characterization of Data-Driven Influence Measures for Classification
Jakub Sliwinski, Martin Strobel, Yair Zick
Pages 718-725 |  PDF

Hotels-50K: A Global Hotel Recognition Dataset
Abby Stylianou, Hong Xuan, Maya Shende, Jonathan Brandt, Richard Souvenir, Robert Pless
Pages 726-733 |  PDF

A Study of Educational Data Mining: Evidence from a Thai University
Ruangsak Trakunphutthirak, Yen Cheung, Vincent C. S. Lee
Pages 734-741 |  PDF

AutoZOOM: Autoencoder-Based Zeroth Order Optimization Method for Attacking Black-Box Neural Networks
Chun-Chen Tu, Paishun Ting, Pin-Yu Chen, Sijia Liu, Huan Zhang, Jinfeng Yi, Cho-Jui Hsieh, Shin-Ming Cheng
Pages 742-749 |  PDF

Knowledge Tracing Machines: Factorization Machines for Knowledge Tracing
Jill-Jenn Vie, Hisashi Kashima
Pages 750-757 |  PDF

Forbidden Nodes Aware Community Search
Chaokun Wang, Junchao Zhu
Pages 758-765 |  PDF

Bidirectional Inference Networks:A Class of Deep Bayesian Networks for Health Profiling
Hao Wang, Chengzhi Mao, Hao He, Mingmin Zhao, Tommi S. Jaakkola, Dina Katabi
Pages 766-773 |  PDF

DeepETA: A Spatial-Temporal Sequential Neural Network Model for Estimating Time of Arrival in Package Delivery System
Fan Wu, Lixia Wu
Pages 774-781 |  PDF

Zero Shot Learning for Code Education: Rubric Sampling with Deep Learning Inference
Mike Wu, Milan Mosse, Noah Goodman, Chris Piech
Pages 782-790 |  PDF

Detecting Incongruity between News Headline and Body Text via a Deep Hierarchical Encoder
Seunghyun Yoon, Kunwoo Park, Joongbo Shin, Hongjun Lim, Seungpil Won, Meeyoung Cha, Kyomin Jung
Pages 791-800 |  PDF

EnsNet: Ensconce Text in the Wild
Shuaitao Zhang, Yuliang Liu, Lianwen Jin, Yaoxiong Huang, Songxuan Lai
Pages 801-808 |  PDF

Weakly-Supervised Simultaneous Evidence Identification and Segmentation for Automated Glaucoma Diagnosis
Rongchang Zhao, Wangmin Liao, Beiji Zou, Zailiang Chen, Shuo Li
Pages 809-816 |  PDF

A Neural Multi-Task Learning Framework to Jointly Model Medical Named Entity Recognition and Normalization
Sendong Zhao, Ting Liu, Sicheng Zhao, Fei Wang
Pages 817-824 |  PDF

Exploiting Time-Series Image-to-Image Translation to Expand the Range of Wildlife Habitat Analysis
Ruobing Zheng, Ze Luo, Baoping Yan
Pages 825-832 |  PDF

AAAI Technical Track: Applications

Adversarial Unsupervised Representation Learning for Activity Time-Series
Karan Aggarwal, Shafiq Joty, Luis Fernandez-Luque, Jaideep Srivastava
Pages 834-841 |  PDF

Beyond Speech: Generalizing D-Vectors for Biometric Verification
Jacob Baldwin, Ryan Burnham, Andrew Meyer, Robert Dora, Robert Wright
Pages 842-849 |  PDF

Deep Latent Generative Models for Energy Disaggregation
Gissella Bejarano, David DeFazio, Arti Ramesh
Pages 850-857 |  PDF

Predicting Concrete and Abstract Entities in Modern Poetry
Fiammetta Caccavale, Anders Søgaard
Pages 858-864 |  PDF

Synergistic Image and Feature Adaptation: Towards Cross-Modality Domain Adaptation for Medical Image Segmentation
Cheng Chen, Qi Dou, Hao Chen, Jing Qin, Pheng-Ann Heng
Pages 865-872 |  PDF

Region-Based Message Exploration over Spatio-Temporal Data Streams
Lisi Chen, Shuo Shang
Pages 873-880 |  PDF

Deriving Subgoals Autonomously to Accelerate Learning in Sparse Reward Domains
Michael Dann, Fabio Zambetta, John Thangarajah
Pages 881-889 |  PDF

Dynamic Spatial-Temporal Graph Convolutional Neural Networks for Traffic Forecasting
Zulong Diao, Xin Wang, Dafang Zhang, Yingru Liu, Kun Xie, Shaoyao He
Pages 890-897 |  PDF

Turbo Learning Framework for Human-Object Interactions Recognition and Human Pose Estimation
Wei Feng, Wentao Liu, Tong Li, Jing Peng, Chen Qian, Xiaolin Hu
Pages 898-905 |  PDF

Efficient Region Embedding with Multi-View Spatial Networks: A Perspective of Locality-Constrained Spatial Autocorrelations
Yanjie Fu, Pengyang Wang, Jiadi Du, Le Wu, Xiaolin Li
Pages 906-913 |  PDF

VidyutVanika: A Reinforcement Learning Based Broker Agent for a Power Trading Competition
Susobhan Ghosh, Easwar Subramanian, Sanjay P. Bhat, Sujit Gujar, Praveen Paruchuri
Pages 914-921 |  PDF

Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting
Shengnan Guo, Youfang Lin, Ning Feng, Chao Song, Huaiyu Wan
Pages 922-929 |  PDF

Deep Reinforcement Learning for Syntactic Error Repair in Student Programs
Rahul Gupta, Aditya Kanade, Shirish Shevade
Pages 930-937 |  PDF

Exploiting Sentence Embedding for Medical Question Answering
Yu Hao, Xien Liu, Ji Wu, Ping Lv
Pages 938-945 |  PDF

Cash-Out User Detection Based on Attributed Heterogeneous Information Network with a Hierarchical Attention Mechanism
Binbin Hu, Zhiqiang Zhang, Chuan Shi, Jun Zhou, Xiaolong Li, Yuan Qi
Pages 946-953 |  PDF

Combo-Action: Training Agent For FPS Game with Auxiliary Tasks
Shiyu Huang, Hang Su, Jun Zhu, Ting Chen
Pages 954-961 |  PDF

Connecting the Digital and Physical World: Improving the Robustness of Adversarial Attacks
Steve T.K. Jan, Joseph Messou, Yen-Chen Lin, Jia-Bin Huang, Gang Wang
Pages 962-969 |  PDF

A Memetic Approach for Sequential Security Games on a Plane with Moving Targets
Jan Karwowski, Jacek Mańdziuk, Adam Żychowski, Filip Grajek, Bo An
Pages 970-977 |  PDF

Crash to Not Crash: Learn to Identify Dangerous Vehicles Using a Simulator
Hoon Kim, Kangwook Lee, Gyeongjo Hwang, Changho Suh
Pages 978-985 |  PDF

Traffic Updates: Saying a Lot While Revealing a Little
John Krumm, Eric Horvitz
Pages 986-995 |  PDF

Adversarial Learning for Weakly-Supervised Social Network Alignment
Chaozhuo Li, Senzhang Wang, Yukun Wang, Philip Yu, Yanbo Liang, Yun Liu, Zhoujun Li
Pages 996-1003 |  PDF

Learning Heterogeneous Spatial-Temporal Representation for Bike-Sharing Demand Prediction
Youru Li, Zhenfeng Zhu, Deqiang Kong, Meixiang Xu, Yao Zhao
Pages 1004-1011 |  PDF

SEGAN: Structure-Enhanced Generative Adversarial Network for Compressed Sensing MRI Reconstruction
Zhongnian Li, Tao Zhang, Peng Wan, Daoqiang Zhang
Pages 1012-1019 |  PDF

DeepSTN+: Context-Aware Spatial-Temporal Neural Network for Crowd Flow Prediction in Metropolis
Ziqian Lin, Jie Feng, Ziyang Lu, Yong Li, Depeng Jin
Pages 1020-1027 |  PDF

Perceptual-Sensitive GAN for Generating Adversarial Patches
Aishan Liu, Xianglong Liu, Jiaxin Fan, Yuqing Ma, Anlan Zhang, Huiyuan Xie, Dacheng Tao
Pages 1028-1035 |  PDF

Joint Representation Learning for Multi-Modal Transportation Recommendation
Hao Liu, Ting Li, Renjun Hu, Yanjie Fu, Jingjing Gu, Hui Xiong
Pages 1036-1043 |  PDF

DeepFuzz: Automatic Generation of Syntax Valid C Programs for Fuzz Testing
Xiao Liu, Xiaoting Li, Rupesh Prajapati, Dinghao Wu
Pages 1044-1051 |  PDF

Molecular Property Prediction: A Multilevel Quantum Interactions Modeling Perspective
Chengqiang Lu, Qi Liu, Chao Wang, Zhenya Huang, Peize Lin, Lixin He
Pages 1052-1060 |  PDF

Play as You Like: Timbre-Enhanced Multi-Modal Music Style Transfer
Chien-Yu Lu, Min-Xin Xue, Chia-Che Chang, Che-Rung Lee, Li Su
Pages 1061-1068 |  PDF

AffinityNet: Semi-Supervised Few-Shot Learning for Disease Type Prediction
Tianle Ma, Aidong Zhang
Pages 1069-1076 |  PDF

Scalable Robust Kidney Exchange
Duncan C McElfresh, Hoda Bidkhori, John P Dickerson
Pages 1077-1084 |  PDF

Difficulty-Aware Attention Network with Confidence Learning for Medical Image Segmentation
Dong Nie, Li Wang, Lei Xiang, Sihang Zhou, Ehsan Adeli, Dinggang Shen
Pages 1085-1092 |  PDF

Pathological Evidence Exploration in Deep Retinal Image Diagnosis
Yuhao Niu, Lin Gu, Feng Lu, Feifan Lv, Zongji Wang, Imari Sato, Zijian Zhang, Yangyan Xiao, Xunzhang Dai, Tingting Cheng
Pages 1093-1101 |  PDF

Building Causal Graphs from Medical Literature and Electronic Medical Records
Galia Nordon, Gideon Koren, Varda Shalev, Benny Kimelfeld, Uri Shalit, Kira Radinsky
Pages 1102-1109 |  PDF

NeVAE: A Deep Generative Model for Molecular Graphs
Bidisha Samanta, Abir DE, Gourhari Jana, Pratim Kumar Chattaraj, Niloy Ganguly, Manuel Gomez Rodriguez
Pages 1110-1117 |  PDF

PhoneMD: Learning to Diagnose Parkinson’s Disease from Smartphone Data
Patrick Schwab, Walter Karlen
Pages 1118-1125 |  PDF

GAMENet: Graph Augmented MEmory Networks for Recommending Medication Combination
Junyuan Shang, Cao Xiao, Tengfei Ma, Hongyan Li, Jimeng Sun
Pages 1126-1133 |  PDF

The Kelly Growth Optimal Portfolio with Ensemble Learning
Weiwei Shen, Bin Wang, Jian Pu, Jun Wang
Pages 1134-1141 |  PDF

Spatiality Preservable Factored Poisson Regression for Large-Scale Fine-Grained GPS-Based Population Analysis
Masamichi Shimosaka, Yuta Hayakawa, Kota Tsubouchi
Pages 1142-1149 |  PDF

Subtask Gated Networks for Non-Intrusive Load Monitoring
Changho Shin, Sunghwan Joo, Jaeryun Yim, Hyoseop Lee, Taesup Moon, Wonjong Rhee
Pages 1150-1157 |  PDF

Improving Search with Supervised Learning in Trick-Based Card Games
Christopher Solinas, Douglas Rebstock, Michael Buro
Pages 1158-1165 |  PDF

Exploiting the Contagious Effect for Employee Turnover Prediction
Mingfei Teng, Hengshu Zhu, Chuanren Liu, Chen Zhu, Hui Xiong
Pages 1166-1173 |  PDF

PerformanceNet: Score-to-Audio Music Generation with Multi-Band Convolutional Residual Network
Bryan Wang, Yi-Hsuan Yang
Pages 1174-1181 |  PDF

Differentially Private Empirical Risk Minimization with Smooth Non-Convex Loss Functions: A Non-Stationary View
Di Wang, Jinhui Xu
Pages 1182-1189 |  PDF

Private Model Compression via Knowledge Distillation
Ji Wang, Weidong Bao, Lichao Sun, Xiaomin Zhu, Bokai Cao, Philip S. Yu
Pages 1190-1197 |  PDF

Functional Connectivity Network Analysis with Discriminative Hub Detection for Brain Disease Identification
Mingliang Wang, Jiashuang Huang, Mingxia Liu, Daoqiang Zhang
Pages 1198-1205 |  PDF

Hierarchical Macro Strategy Model for MOBA Game AI
Bin Wu
Pages 1206-1213 |  PDF

G2C: A Generator-to-Classifier Framework Integrating Multi-Stained Visual Cues for Pathological Glomerulus Classification
Bingzhe Wu, Xiaolu Zhang, Shiwan Zhao, Lingxi Xie, Caihong Zeng, Zhihong Liu, Guangyu Sun
Pages 1214-1221 |  PDF

On Strength Adjustment for MCTS-Based Programs
I-Chen Wu, Ti-Rong Wu, An-Jen Liu, Hung Guei, Tinghan Wei
Pages 1222-1229 |  PDF

A2-Net: Molecular Structure Estimation from Cryo-EM Density Volumes
Kui Xu, Zhe Wang, Jianping Shi, Hongsheng Li, Qiangfeng Cliff Zhang
Pages 1230-1237 |  PDF

TET-GAN: Text Effects Transfer via Stylization and Destylization
Shuai Yang, Jiaying Liu, Wenjing Wang, Zongming Guo
Pages 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
Pages 1246-1253 |  PDF

MetaStyle: Three-Way Trade-off among Speed, Flexibility, and Quality in Neural Style Transfer
Chi Zhang, Yixin Zhu, Song-Chun Zhu
Pages 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
Pages 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
Pages 1270-1277 |  PDF

SAFE: A Neural Survival Analysis Model for Fraud Early Detection
Panpan Zheng, Shuhan Yuan, Xintao Wu
Pages 1278-1285 |  PDF

One-Class Adversarial Nets for Fraud Detection
Panpan Zheng, Shuhan Yuan, Xintao Wu, Jun Li, Aidong Lu
Pages 1286-1293 |  PDF

DeepDPM: Dynamic Population Mapping via Deep Neural Network
Zefang Zong, Jie Feng, Kechun Liu, Hongzhi Shi, Yong Li
Pages 1294-1301 |  PDF

AAAI Technical Track: Cognitive Modeling

Cognitive Deficit of Deep Learning in Numerosity
Xiaolin Wu, Xi Zhang, Xiao Shu
Pages 1303-1310 |  PDF

Direct Training for Spiking Neural Networks: Faster, Larger, Better
Yujie Wu, Lei Deng, Guoqi Li, Jun Zhu, Yuan Xie, Luping Shi
Pages 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
Pages 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
Pages 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
Pages 1336-1343 |  PDF

Attentive Tensor Product Learning
Qiuyuan Huang, Li Deng, Dapeng Wu, Chang Liu, Xiaodong He
Pages 1344-1351 |  PDF

Scalable Recollections for Continual Lifelong Learning
Matthew Riemer, Tim Klinger, Djallel Bouneffouf, Michele Franceschini
Pages 1352-1359 |  PDF

Simulation-Based Approach to Efficient Commonsense Reasoning in Very Large Knowledge Bases
Abhishek Sharma, Keith M. Goolsbey
Pages 1360-1367 |  PDF

Modelling Autobiographical Memory Loss across Life Span
Di Wang, Ah-Hwee Tan, Chunyan Miao, Ahmed A. Moustafa
Pages 1368-1375 |  PDF

AAAI Technical Track: Computational Sustainability

Deep Bayesian Optimization on Attributed Graphs
Jiaxu Cui, Bo Yang, Xia Hu
Pages 1377-1384 |  PDF

Interpretable Predictive Modeling for Climate Variables with Weighted Lasso
Sijie He, Xinyan Li, Vidyashankar Sivakumar, Arindam Banerjee
Pages 1385-1392 |  PDF

A Deep Reinforcement Learning Framework for Rebalancing Dockless Bike Sharing Systems
Ling Pan, Qingpeng Cai, Zhixuan Fang, Pingzhong Tang, Longbo Huang
Pages 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
Pages 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
Pages 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
Pages 1418-1426 |  PDF

Clairvoyant Restarts in Branch-and-Bound Search Using Online Tree-Size Estimation
Daniel Anderson, Gregor Hendel, Pierre Le Bodic, Merlin Viernickel
Pages 1427-1434 |  PDF

A SAT+CAS Approach to Finding Good Matrices: New Examples and Counterexamples
Curtis Bright, Dragomir Ž. Ðoković, Ilias Kotsireas, Vijay Ganesh
Pages 1435-1442 |  PDF

Improving Optimization Bounds Using Machine Learning: Decision Diagrams Meet Deep Reinforcement Learning
Quentin Cappart, Emmanuel Goutierre, David Bergman, Louis-Martin Rousseau
Pages 1443-1451 |  PDF

Model-Based Diagnosis of Hybrid Systems Using Satisfiability Modulo Theory
Alexander Diedrich, Alexander Maier, Oliver Niggemann
Pages 1452-1459 |  PDF

On Geometric Alignment in Low Doubling Dimension
Hu Ding, Mingquan Ye
Pages 1460-1467 |  PDF

A Nonconvex Projection Method for Robust PCA
Aritra Dutta, Filip Hanzely, Peter Richtàrik
Pages 1468-1476 |  PDF

Solving Integer Quadratic Programming via Explicit and Structural Restrictions
Eduard Eiben, Robert Ganian, Dusan Knop, Sebastian Ordyniak
Pages 1477-1484 |  PDF

Stochastic Submodular Maximization with Performance-Dependent Item Costs
Takuro Fukunaga, Takuya Konishi, Sumio Fujita, Ken-ichi Kawarabayashi
Pages 1485-1494 |  PDF

Constraint-Based Sequential Pattern Mining with Decision Diagrams
Amin Hosseininasab, Willem-Jan van Hoeve, Andre A. Cire
Pages 1495-1502 |  PDF

Faster Gradient-Free Proximal Stochastic Methods for Nonconvex Nonsmooth Optimization
Feihu Huang, Bin Gu, Zhouyuan Huo, Songcan Chen, Heng Huang
Pages 1503-1510 |  PDF

Abduction-Based Explanations for Machine Learning Models
Alexey Ignatiev, Nina Narodytska, Joao Marques-Silva
Pages 1511-1519 |  PDF

Separator-Based Pruned Dynamic Programming for Steiner Tree
Yoichi Iwata, Takuto Shigemura
Pages 1520-1527 |  PDF

Asynchronous Delay-Aware Accelerated Proximal Coordinate Descent for Nonconvex Nonsmooth Problems
Ehsan Kazemi, Liqiang Wang
Pages 1528-1535 |  PDF

A Recursive Algorithm for Projected Model Counting
Jean-Marie Lagniez, Pierre Marquis
Pages 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
Pages 1544-1551 |  PDF

Adaptive Proximal Average Based Variance Reducing Stochastic Methods for Optimization with Composite Regularization
Jingchang Liu, Linli Xu, Junliang Guo, Xin Sheng
Pages 1552-1559 |  PDF

Automatic Construction of Parallel Portfolios via Explicit Instance Grouping
Shengcai Liu, Ke Tang, Xin Yao
Pages 1560-1567 |  PDF

On Sampling Complexity of the Semidefinite Affine Rank Feasibility Problem
Igor Molybog, Javad Lavaei
Pages 1568-1575 |  PDF

Revisiting Projection-Free Optimization for Strongly Convex Constraint Sets
Jarrid Rector-Brooks, Jun-Kun Wang, Barzan Mozafari
Pages 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
Pages 1584-1591 |  PDF

BIRD: Engineering an Efficient CNF-XOR SAT Solver and Its Applications to Approximate Model Counting
Mate Soos, Kuldeep S. Meel
Pages 1592-1599 |  PDF

Algorithms for Average Regret Minimization
Sabine Storandt, Stefan Funke
Pages 1600-1607 |  PDF

Concurrency Debugging with MaxSMT
Miguel Terra-Neves, Nuno Machado, Ines Lynce, Vasco Manquinho
Pages 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
Pages 1617-1624 |  PDF

Learning Optimal Classification Trees Using a Binary Linear Program Formulation
Sicco Verwer, Yingqian Zhang
Pages 1625-1632 |  PDF

Asynchronous Proximal Stochastic Gradient Algorithm for Composition Optimization Problems
Pengfei Wang, Risheng Liu, Nenggan Zheng, Zhefeng Gong
Pages 1633-1640 |  PDF

Low-Rank Semidefinite Programming for the MAX2SAT Problem
Po-Wei Wang, J. Zico Kolter
Pages 1641-1649 |  PDF

Task Embedded Coordinate Update: A Realizable Framework for Multivariate Non-Convex Optimization
Yiyang Wang, Risheng Liu, Long Ma, Xiaoliang Song
Pages 1650-1657 |  PDF

Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization
Bryan Wilder, Bistra Dilkina, Milind Tambe
Pages 1658-1665 |  PDF

Adding Constraints to Bayesian Inverse Problems
Jiacheng Wu, Jian-Xun Wang, Shawn C. Shadden
Pages 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
Pages 1674-1681 |  PDF

Generalized Batch Normalization: Towards Accelerating Deep Neural Networks
Xiaoyong Yuan, Zheng Feng, Matthew Norton, Xiaolin Li
Pages 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
Pages 1691-1698 |  PDF

Regular Boardgames
Jakub Kowalski, Maksymilian Mika, Jakub Sutowicz, Marek Szykuła
Pages 1699-1706 |  PDF

3D Face Synthesis Driven by Personality Impression
Yining Lang, Wei Liang, Yujia Wang, Lap-Fai Yu
Pages 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
Pages 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
Pages 1724-1731 |  PDF

Fair Division with a Secretive Agent
Eshwar Ram Arunachaleswaran, Siddharth Barman, Nidhi Rathi
Pages 1732-1739 |  PDF

Pareto Optimal Allocation under Compact Uncertain Preferences
Haris Aziz, Peter Biro, Ronald de Haan, Baharak Rastegari
Pages 1740-1747 |  PDF

On the Proximity of Markets with Integral Equilibria
Siddharth Barman, Sanath Kumar Krishnamurthy
Pages 1748-1755 |  PDF

Unknown Agents in Friends Oriented Hedonic Games: Stability and Complexity
Nathanaël Barrot, Kazunori Ota, Yuko Sakurai, Makoto Yokoo
Pages 1756-1763 |  PDF

Generalized Distance Bribery
Dorothea Baumeister, Tobias Hogrebe, Lisa Rey
Pages 1764-1771 |  PDF

From Recommendation Systems to Facility Location Games
Omer Ben-Porat, Gregory Goren, Itay Rosenberg, Moshe Tennenholtz
Pages 1772-1779 |  PDF

Convergence of Learning Dynamics in Information Retrieval Games
Omer Ben-Porat, Itay Rosenberg, Tennenholtz
Pages 1780-1787 |  PDF

Low-Distortion Social Welfare Functions
Gerdus Benadè, Ariel D. Procaccia, Mingda Qiao
Pages 1788-1795 |  PDF

On Rational Delegations in Liquid Democracy
Daan Bloembergen, Davide Grossi, Martin Lackner
Pages 1796-1803 |  PDF

Primarily about Primaries
Allan Borodin, Omer Lev, Nisarg Shah, Tyrone Strangway
Pages 1804-1811 |  PDF

Walrasian Dynamics in Multi-Unit Markets
Simina Brânzei, Aris Filos-Ratsikas
Pages 1812-1819 |  PDF

Fast Iterative Combinatorial Auctions via Bayesian Learning
Gianluca Brero, Sébastien Lahaie, Sven Seuken
Pages 1820-1828 |  PDF

Solving Imperfect-Information Games via Discounted Regret Minimization
Noam Brown, Tuomas Sandholm
Pages 1829-1836 |  PDF

Partial Verification as a Substitute for Money
Sofia Ceppi, Ian Kash, Rafael Frongillo
Pages 1837-1844 |  PDF

Randomized Wagering Mechanisms
Yiling Chen, Yang Liu, Juntao Wang
Pages 1845-1852 |  PDF

Group Fairness for the Allocation of Indivisible Goods
Vincent Conitzer, Rupert Freeman, Nisarg Shah, Jennifer Wortman Vaughan
Pages 1853-1860 |  PDF

Solving Large Extensive-Form Games with Strategy Constraints
Trevor Davis, Kevin Waugh, Michael Bowling
Pages 1861-1868 |  PDF

On the Complexity of the Inverse Semivalue Problem for Weighted Voting Games
Ilias Diakonikolas, Chrystalla Pavlou
Pages 1869-1876 |  PDF

Balancing Relevance and Diversity in Online Bipartite Matching via Submodularity
John P. Dickerson, Karthik Abinav Sankararaman, Aravind Srinivasan, Pan Xu
Pages 1877-1884 |  PDF

Online Pandora’s Boxes and Bandits
Hossein Esfandiari, MohammadTaghi HajiAghayi, Brendan Lucier, Michael Mitzenmacher
Pages 1885-1892 |  PDF

Random Dictators with a Random Referee: Constant Sample Complexity Mechanisms for Social Choice
Brandon Fain, Ashish Goel, Kamesh Munagala, Nina Prabhu
Pages 1893-1900 |  PDF

Approximation and Hardness of Shift-Bribery
Piotr Faliszewski, Pasin Manurangsi, Krzysztof Sornat
Pages 1901-1908 |  PDF

How Similar Are Two Elections?
Piotr Faliszewski, Piotr Skowron, Arkadii Slinko, Stanisław Szufa, Nimrod Talmon
Pages 1909-1916 |  PDF

Online Convex Optimization for Sequential Decision Processes and Extensive-Form Games
Gabriele Farina, Christian Kroer, Tuomas Sandholm
Pages 1917-1925 |  PDF

An Improved Quasi-Polynomial Algorithm for Approximate Well-Supported Nash Equilibria
Michail Fasoulakis, Evangelos Markakis
Pages 1926-1932 |  PDF

Very Hard Electoral Control Problems
Zack Fitzsimmons, Edith Hemaspaandra, Alexander Hoover, David E. Narváez
Pages 1933-1940 |  PDF

Fair Knapsack
Till Fluschnik, Piotr Skowron, Mervin Triphaus, Kai Wilker
Pages 1941-1948 |  PDF

A Bridge between Liquid and Social Welfare in Combinatorial Auctions with Submodular Bidders
Dimitris Fotakis, Kyriakos Lotidis, Chara Podimata
Pages 1949-1956 |  PDF

An Equivalence between Wagering and Fair-Division Mechanisms
Rupert Freeman, David M. Pennock, Jennifer Wortman Vaughan
Pages 1957-1964 |  PDF

Fair and Efficient Memory Sharing: Confronting Free Riders
Eric J. Friedman, Vasilis Gkatzelis, Christos-Alexandros Psomas, Scott Shenker
Pages 1965-1972 |  PDF

Multi-Unit Bilateral Trade
Matthias Gerstgrasser, Paul W. Goldberg, Bart de Keijzer, Philip Lazos, Alexander Skopalik
Pages 1973-1980 |  PDF

On the Distortion Value of the Elections with Abstention
Mohammad Ghodsi, Mohamad Latifian, Masoud Seddighin
Pages 1981-1988 |  PDF

Pareto Efficient Auctions with Interest Rates
Gagan Goel, Vahab Mirrokni, Renato Paes Leme
Pages 1989-1995 |  PDF

Deep Bayesian Trust: A Dominant and Fair Incentive Mechanism for Crowd
Naman Goel, Boi Faltings
Pages 1996-2003 |  PDF

You Get What You Share: Incentives for a Sharing Economy
Sreenivas Gollapudi, Kostas Kollias, Debmalya Panigrahi
Pages 2004-2011 |  PDF

Computing the Yolk in Spatial Voting Games without Computing Median Lines
Joachim Gudmundsson, Sampson Wong
Pages 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
Pages 2020-2028 |  PDF

Solving Partially Observable Stochastic Games with Public Observations
Karel Horák, Branislav Bošanský
Pages 2029-2036 |  PDF

Object Reachability via Swaps along a Line
Sen Huang, Mingyu Xiao
Pages 2037-2044 |  PDF

Pareto-Optimal Allocation of Indivisible Goods with Connectivity Constraints
Ayumi Igarashi, Dominik Peters
Pages 2045-2052 |  PDF

Forming Probably Stable Communities with Limited Interactions
Ayumi Igarashi, Jakub Sliwinski, Yair Zick
Pages 2053-2060 |  PDF

Approximate Inference of Outcomes in Probabilistic Elections
Batya Kenig, Benny Kimelfeld
Pages 2061-2068 |  PDF

“Reverse Gerrymandering”: Manipulation in Multi-Group Decision Making
Omer Lev, Yoad Lewenberg
Pages 2069-2076 |  PDF

Heuristic Voting as Ordinal Dominance Strategies
Omer Lev, Reshef Meir, Svetlana Obraztsova, Maria Polukarov
Pages 2077-2084 |  PDF

Cooperation Enforcement and Collusion Resistance in Repeated Public Goods Games
Kai Li, Dong Hao
Pages 2085-2092 |  PDF

Revenue Enhancement via Asymmetric Signaling in Interdependent-Value Auctions
Zhuoshu Li, Sanmay Das
Pages 2093-2100 |  PDF

Dynamic Contracting under Positive Commitment
Ilan Lobel, Renato Paes Leme
Pages 2101-2108 |  PDF

When Do Envy-Free Allocations Exist?
Pasin Manurangsi, Warut Suksompong
Pages 2109-2116 |  PDF

Quasi-Perfect Stackelberg Equilibrium
Alberto Marchesi, Gabriele Farina, Christian Kroer, Nicola Gatti, Tuomas Sandholm
Pages 2117-2124 |  PDF

Optimal Dynamic Auctions Are Virtual Welfare Maximizers
Vahab Mirrokni, Renato Paes Leme, Pingzhong Tang, Song Zuo
Pages 2125-2132 |  PDF

Deception in Finitely Repeated Security Games
Thanh H. Nguyen, Yongzhao Wang, Arunesh Sinha, Michael P. Wellman
Pages 2133-2140 |  PDF

Fairly Allocating Many Goods with Few Queries
Hoon Oh, Ariel D. Procaccia, Warut Suksompong
Pages 2141-2148 |  PDF

Learning Optimal Strategies to Commit To
Binghui Peng, Weiran Shen, Pingzhong Tang, Song Zuo
Pages 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
Pages 2157-2164 |  PDF

Mechanism Design for Multi-Type Housing Markets with Acceptable Bundles
Sujoy Sikdar, Sibel Adalı Lirong Xia
Pages 2165-2172 |  PDF

Learning Deviation Payoffs in Simulation-Based Games
Samuel Sokota, Caleb Ho, Bryce Wiedenbeck
Pages 2173-2180 |  PDF

A Framework for Approval-Based Budgeting Methods
Nimrod Talmon, Piotr Faliszewski
Pages 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
Pages 2189-2196 |  PDF

Random Walk Decay Centrality
Tomasz Wąs, Talal Rahwan, Oskar Skibski
Pages 2197-2204 |  PDF

Poll-Confident Voters in Iterative Voting
Anaëlle Wilczynski
Pages 2205-2212 |  PDF

Defending Elections against Malicious Spread of Misinformation
Bryan Wilder, Yevgeniy Vorobeychik
Pages 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
Pages 2221-2228 |  PDF

A Better Algorithm for Societal Tradeoffs
Hanrui Zhang, Yu Cheng, Vincent Conitzer
Pages 2229-2236 |  PDF

A PAC Framework for Aggregating Agents’ Judgments
Hanrui Zhang, Vincent Conitzer
Pages 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
Pages 2245-2252 |  PDF

Distributionally Adversarial Attack
Tianhang Zheng, Changyou Chen, Kui Ren
Pages 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
Pages 2262-2271 |  PDF

Greedy Maximization of Functions with Bounded Curvature under Partition Matroid Constraints
Tobias Friedrich, Andreas Göbel, Frank Neumann, Francesco Quinzan, Ralf Rothenberger
Pages 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
Pages 2280-2287 |  PDF

On the Optimal Efficiency of Cost-Algebraic A*
Robert C. Holte, Sandra Zilles
Pages 2288-2295 |  PDF

Running Time Analysis of MOEA/D with Crossover on Discrete Optimization Problem
Zhengxin Huang, Yuren Zhou, Zefeng Chen, Xiaoyu He
Pages 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
Pages 2304-2313 |  PDF

Fine-Grained Search Space Classification for Hard Enumeration Variants of Subset Problems
Juho Lauri, Sourav Dutta
Pages 2314-2321 |  PDF

On the Time Complexity of Algorithm Selection Hyper-Heuristics for Multimodal Optimisation
Andrei Lissovoi, Pietro S. Oliveto, John Alasdair Warwicker
Pages 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
Pages 2330-2337 |  PDF

Real-Time Planning as Decision-Making under Uncertainty
Andrew Mitchell, Wheeler Ruml, Fabian Spaniol, Jorg Hoffmann, Marek Petrik
Pages 2338-2345 |  PDF

Evolving Solutions to Community-Structured Satisfiability Formulas
Frank Neumann, Andrew M. Sutton
Pages 2346-2353 |  PDF

Pareto Optimization for Subset Selection with Dynamic Cost Constraints
Vahid Roostapour, Aneta Neumann, Frank Neumann, Tobias Friedrich
Pages 2354-2361 |  PDF

Stepping Stones to Inductive Synthesis of Low-Level Looping Programs
Christopher D. Rosin
Pages 2362-2370 |  PDF

Allocating Planning Effort When Actions Expire
Shahaf S. Shperberg, Andrew Coles, Bence Cserna, Erez Karpas, Wheeler Ruml, Solomon E. Shimony
Pages 2371-2378 |  PDF

Enriching Non-Parametric Bidirectional Search Algorithms
Shahaf S. Shperberg, Ariel Felner, Nathan R. Sturtevant, Solomon E. Shimony, Avi Hayoun
Pages 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
Pages 2387-2394 |  PDF

An Improved Generic Bet-and-Run Strategy with Performance Prediction for Stochastic Local Search
Thomas Weise, Zijun Wu, Markus Wagner
Pages 2395-2402 |  PDF

Fuzzy-Classification Assisted Solution Preselection in Evolutionary Optimization
Aimin Zhou, Jinyuan Zhang, Jianyong Sun, Guixu Zhang
Pages 2403-2410 |  PDF

AAAI Technical Track: Human-AI Collaboration

One-Network Adversarial Fairness
Tameem Adel, Isabel Valera, Zoubin Ghahramani, Adrian Weller
Pages 2412-2420 |  PDF

Making Money from What You Know - How to Sell Information?
Shani Alkoby, Zihe Wang, David Sarne, Pingzhong Tang
Pages 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
Pages 2429-2437 |  PDF

Human-in-the-Loop Feature Selection
Alvaro H. C. Correia, Freddy Lecue
Pages 2438-2445 |  PDF

Verifying Robustness of Gradient Boosted Models
Gil Einziger, Maayan Goldstein, Yaniv Sa’ar, Itai Segall
Pages 2446-2453 |  PDF

Counterfactual Randomization: Rescuing Experimental Studies from Obscured Confounding
Andrew Forney, Elias Bareinboim
Pages 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
Pages 2462-2470 |  PDF

Task Transfer by Preference-Based Cost Learning
Mingxuan Jing, Xiaojian Ma, Wenbing Huang, Fuchun Sun, Huaping Liu
Pages 2471-2478 |  PDF

A Unified Framework for Planning in Adversarial and Cooperative Environments
Anagha Kulkarni, Siddharth Srivastava, Subbarao Kambhampati
Pages 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
Pages 2488-2495 |  PDF

Deep Neural Networks Constrained by Decision Rules
Yuzuru Okajima, Kunihiko Sadamasa
Pages 2496-2505 |  PDF

Geometry-Aware Face Completion and Editing
Linsen Song, Jie Cao, Lingxiao Song, Yibo Hu, Ran He
Pages 2506-2513 |  PDF

Generation of Policy-Level Explanations for Reinforcement Learning
Nicholay Topin, Manuela Veloso
Pages 2514-2521 |  PDF

Learning Models of Sequential Decision-Making with Partial Specification of Agent Behavior
Vaibhav V. Unhelkar, Julie A. Shah
Pages 2522-2530 |  PDF

Augmenting Markov Decision Processes with Advising
Loïs Vanhée, Laurent Jeanpierre, Abdel-Illah Mouaddib
Pages 2531-2538 |  PDF

FLEX: Faithful Linguistic Explanations for Neural Net Based Model Decisions
Sandareka Wickramanayake, Wynne Hsu, Mong Li Lee
Pages 2539-2546 |  PDF

Interactive Semantic Parsing for If-Then Recipes via Hierarchical Reinforcement Learning
Ziyu Yao, Xiujun Li, Jianfeng Gao, Brian Sadler, Huan Sun
Pages 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
Pages 2556-2563 |  PDF

AI-Sketcher : A Deep Generative Model for Producing High-Quality Sketches
Nan Cao, Xin Yan, Yang Shi, Chaoran Chen
Pages 2564-2571 |  PDF

Election with Bribed Voter Uncertainty: Hardness and Approximation Algorithm
Lin Chen, Lei Xu, Shouhuai Xu, Zhimin Gao, Weidong Shi
Pages 2572-2579 |  PDF

Human Motion Prediction via Learning Local Structure Representations and Temporal Dependencies
Xiao Guo, Jongmoo Choi
Pages 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
Pages 2588-2595 |  PDF

Goal-Oriented Dialogue Policy Learning from Failures
Keting Lu, Shiqi Zhang, Xiaoping Chen
Pages 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
Pages 2604-2611 |  PDF

Consensual Affine Transformations for Partial Valuation Aggregation
Hermann Schichl, Meinolf Sellmann
Pages 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
Pages 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
Pages 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
Pages 2638-2645 |  PDF

Unbounded Orchestrations of Transducers for Manufacturing
Natasha Alechina, Tomáš Brázdil, Giuseppe De Giacomo, Paolo Felli, Brian Logan, Moshe Y. Vardi
Pages 2646-2653 |  PDF

Relaxing and Restraining Queries for OBDA
Medina Andreşel, Yazmín Ibáñez-García, Magdalena Ortiz, Mantas šimkus
Pages 2654-2661 |  PDF

Certifying the True Error: Machine Learning in Coq with Verified Generalization Guarantees
Alexander Bagnall, Gordon Stewart
Pages 2662-2669 |  PDF

Extension Removal in Abstract Argumentation – An Axiomatic Approach
Ringo Baumann, Gerhard Brewka
Pages 2670-2677 |  PDF

Abstracting Causal Models
Sander Beckers, Joseph Y. Halpern
Pages 2678-2685 |  PDF

Weighted Abstract Dialectical Frameworks through the Lens of Approximation Fixpoint Theory
Bart Bogaerts
Pages 2686-2693 |  PDF

Enhancing Lazy Grounding with Lazy Normalization in Answer-Set Programming
Jori Bomanson, Tomi Janhunen, Antonius Weinzierl
Pages 2694-2702 |  PDF

Learning Features and Abstract Actions for Computing Generalized Plans
Blai Bonet, Guillem Francès, Hector Geffner
Pages 2703-2710 |  PDF

Ontology-Mediated Query Answering over Log-Linear Probabilistic Data
Stefan Borgwardt, İsmail İlkan Ceylan, Thomas Lukasiewicz
Pages 2711-2718 |  PDF

Querying Attributed DL-Lite Ontologies Using Provenance Semirings
Camille Bourgaux, Ana Ozaki
Pages 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
Pages 2727-2735 |  PDF

From Horn-SRIQ to Datalog: A Data-Independent Transformation That Preserves Assertion Entailment
David Carral, Larry González, Patrick Koopmann
Pages 2736-2743 |  PDF

Identification of Causal Effects in the Presence of Selection Bias
Juan D. Correa, Jin Tian, Elias Bareinboim
Pages 2744-2751 |  PDF

Argumentation for Explainable Scheduling
Kristijonas čyras, Dimitrios Letsios, Ruth Misener, Francesca Toni
Pages 2752-2759 |  PDF

Approximate Stream Reasoning with Metric Temporal Logic under Uncertainty
Daniel de Leng, Fredrik Heintz
Pages 2760-2767 |  PDF

ABox Abduction via Forgetting in ALC
Warren Del-Pinto, Renate A. Schmidt
Pages 2768-2775 |  PDF

Qualitative Spatial Logic over 2D Euclidean Spaces Is Not Finitely Axiomatisable
Heshan Du, Natasha Alechina
Pages 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
Pages 2784-2791 |  PDF

On Structured Argumentation with Conditional Preferences
Phan Minh Dung, Phan Minh Thang, Tran Cao Son
Pages 2792-2800 |  PDF

Complexity of Abstract Argumentation under a Claim-Centric View
Wolfgang Dvořák, Stefan Woltran
Pages 2801-2808 |  PDF

Strong Equivalence for Epistemic Logic Programs Made Easy
Wolfgang Faber, Michael Morak, Stefan Woltran
Pages 2809-2816 |  PDF

Disjunctive Normal Form for Multi-Agent Modal Logics Based on Logical Separability
Liangda Fang, Kewen Wang, Zhe Wang, Ximing Wen
Pages 2817-2826 |  PDF

Counting Complexity for Reasoning in Abstract Argumentation
Johannes K. Fichte, Markus Hecher, Arne Meier
Pages 2827-2834 |  PDF

A Sequential Set Generation Method for Predicting Set-Valued Outputs
Tian Gao, Jie Chen, Vijil Chenthamarakshan, Michael Witbrock
Pages 2835-2842 |  PDF

Forgetting in Modular Answer Set Programming
Ricardo Gonçalves, Tomi Janhunen, Matthias Knorr, João Leite, Stefan Woltran
Pages 2843-2850 |  PDF

Partial Awareness
Joseph Y. Halpern, Evan Piermont
Pages 2851-2858 |  PDF

Modular Materialisation of Datalog Programs
Pan Hu, Boris Motik, Ian Horrocks
Pages 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
Pages 2867-2875 |  PDF

Minimum Intervention Cover of a Causal Graph
Saravanan Kandasamy, Arnab Bhattacharyya, Vasant G. Honavar
Pages 2876-2885 |  PDF

Knowledge Refinement via Rule Selection
Phokion G. Kolaitis, Lucian Popa, Kun Qian
Pages 2886-2894 |  PDF

LENA: Locality-Expanded Neural Embedding for Knowledge Base Completion
Fanshuang Kong, Richong Zhang, Yongyi Mao, Ting Deng
Pages 2895-2902 |  PDF

Ontology-Based Query Answering for Probabilistic Temporal Data
Patrick Koopmann
Pages 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
Pages 2911-2918 |  PDF

Representing and Learning Grammars in Answer Set Programming
Mark Law, Alessandra Russo, Elisa Bertino, Krysia Broda, Jorge Lobo
Pages 2919-2928 |  PDF

Multi-Context System for Optimization Problems
Tiep Le, Tran Cao Son, Enrico Pontelli
Pages 2929-2937 |  PDF

Reasoning over Assumption-Based Argumentation Frameworks via Direct Answer Set Programming Encodings
Tuomo Lehtonen, Johannes P. Wallner, Matti Järvisalo
Pages 2938-2945 |  PDF

SAT-Based Explicit LTLf Satisfiability Checking
Jianwen Li, Kristin Y. Rozier, Geguang Pu, Yueling Zhang, Moshe Y. Vardi
Pages 2946-2953 |  PDF

Implanting Rational Knowledge into Distributed Representation at Morpheme Level
Zi Lin, Yang Liu
Pages 2954-2961 |  PDF

Complexity of Inconsistency-Tolerant Query Answering in Datalog+/– under Cardinality-Based Repairs
Thomas Lukasiewicz, Enrico Malizia, Andrius Vaicenavičius
Pages 2962-2969 |  PDF

SDRL: Interpretable and Data-Efficient Deep Reinforcement Learning Leveraging Symbolic Planning
Daoming Lyu, Fangkai Yang, Bo Liu, Steven Gustafson
Pages 2970-2977 |  PDF

Less but Better: Generalization Enhancement of Ordinal Embedding via Distributional Margin
Ke Ma, Qianqian Xu, Zhiyong Yang, Xiaochun Cao
Pages 2978-2985 |  PDF

Group Decision Diagram (GDD): A Compact Representation for Permutations
Takanori Maehara, Yuma Inoue
Pages 2986-2994 |  PDF

On Limited Conjunctions and Partial Features in Parameter-Tractable Feature Logics
Stephanie McIntyre, Alexander Borgida, David Toman, Grant Weddell
Pages 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
Pages 3003-3010 |  PDF

Blameworthiness in Strategic Games
Pavel Naumov, Jia Tao
Pages 3011-3018 |  PDF

Belief Change and Non-Monotonic Reasoning Sans Compactness
Jandson S. Ribeiro, Abhaya Nayak, Renata Wassermann
Pages 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
Pages 3027-3035 |  PDF

Efficient Concept Induction for Description Logics
Md Kamruzzaman Sarker, Pascal Hitzler
Pages 3036-3043 |  PDF

An Open-World Extension to Knowledge Graph Completion Models
Haseeb Shah, Johannes Villmow, Adrian Ulges, Ulrich Schwanecke, Faisal Shafait
Pages 3044-3051 |  PDF

Induction of Non-Monotonic Logic Programs to Explain Boosted Tree Models Using LIME
Farhad Shakerin, Gopal Gupta
Pages 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
Pages 3060-3067 |  PDF

Amalgamating Knowledge towards Comprehensive Classification
Chengchao Shen, Xinchao Wang, Jie Song, Li Sun, Mingli Song
Pages 3068-3075 |  PDF

Iterated Belief Base Revision: A Dynamic Epistemic Logic Approach
Marlo Souza, álvaro Moreira, Renata Vieira
Pages 3076-3083 |  PDF

Safe Partial Diagnosis from Normal Observations
Roni Stern, Brendan Juba
Pages 3084-3091 |  PDF

Reasoning over Streaming Data in Metric Temporal Datalog
Przemysław Andrzej Wałęga, Mark Kaminski, Bernardo Cuenca Grau
Pages 3092-3099 |  PDF

TransGate: Knowledge Graph Embedding with Shared Gate Structure
Jun Yuan, Neng Gao, Ji Xiang
Pages 3100-3107 |  PDF

Recursively Learning Causal Structures Using Regression-Based Conditional Independence Test
Hao Zhang, Shuigeng Zhou, Chuanxu Yan, Jihong Guan, Xin Wang
Pages 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
Pages 3116-3124 |  PDF

On Completing Sparse Knowledge Base with Transitive Relation Embedding
Zili Zhou, Shaowu Liu, Guandong Xu, Wu Zhang
Pages 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
Pages 3134-3142 |  PDF

An Exponential Tail Bound for the Deleted Estimate
Karim Abou–Moustafa, Csaba Szepesvári
Pages 3143-3150 |  PDF

Model Learning for Look-Ahead Exploration in Continuous Control
Arpit Agarwal, Katharina Muelling, Katerina Fragkiadaki
Pages 3151-3158 |  PDF

Character-Level Language Modeling with Deeper Self-Attention
Rami Al-Rfou, Dokook Choe, Noah Constant, Mandy Guo, Llion Jones
Pages 3159-3166 |  PDF

Attacking Data Transforming Learners at Training Time
Scott Alfeld, Ara Vartanian, Lucas Newman-Johnson, Benjamin I.P. Rubinstein
Pages 3167-3174 |  PDF

Hyperprior Induced Unsupervised Disentanglement of Latent Representations
Abdul Fatir Ansari, Harold Soh
Pages 3175-3182 |  PDF

Adversarial Label Learning
Chidubem Arachie, Bert Huang
Pages 3183-3190 |  PDF

Robust Negative Sampling for Network Embedding
Mohammadreza Armandpour, Patrick Ding, Jianhua Huang, Xia Hu
Pages 3191-3198 |  PDF

Random Feature Maps for the Itemset Kernel
Kyohei Atarashi, Subhransu Maji, Satoshi Oyama
Pages 3199-3206 |  PDF

High Dimensional Clustering with r-nets
Georgia Avarikioti, Alain Ryser, Yuyi Wang, Roger Wattenhofer
Pages 3207-3214 |  PDF

Mode Variational LSTM Robust to Unseen Modes of Variation: Application to Facial Expression Recognition
Wissam J. Baddar, Yong Man Ro
Pages 3215-3223 |  PDF

Enhanced Random Forest Algorithms for Partially Monotone Ordinal Classification
Christopher Bartley, Wei Liu, Mark Reynolds
Pages 3224-3231 |  PDF

Online Learning from Data Streams with Varying Feature Spaces
Ege Beyazit, Jeevithan Alagurajah, Xindong Wu
Pages 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
Pages 3240-3247 |  PDF

Deep Convolutional Sum-Product Networks
Cory J. Butz, Jhonatan S. Oliveira, André E. dos Santos, André L. Teixeira
Pages 3248-3255 |  PDF

FRAME Revisited: An Interpretation View Based on Particle Evolution
Xu Cai, Yang Wu, Guanbin Li, Ziliang Chen, Liang Lin
Pages 3256-3263 |  PDF

Dynamic Learning of Sequential Choice Bandit Problem under Marketing Fatigue
Junyu Cao, Wei Sun
Pages 3264-3271 |  PDF

Adversarial Learning of Semantic Relevance in Text to Image Synthesis
Miriam Cha, Youngjune L. Gwon, H. T. Kung
Pages 3272-3279 |  PDF

Towards Non-Saturating Recurrent Units for Modelling Long-Term Dependencies
Sarath Chandar, Chinnadhurai Sankar, Eugene Vorontsov, Samira Ebrahimi Kahou, Yoshua Bengio
Pages 3280-3287 |  PDF

Disjoint Label Space Transfer Learning with Common Factorised Space
Xiaobin Chang, Yongxin Yang, Tao Xiang, Timothy M. Hospedales
Pages 3288-3295 |  PDF

Joint Domain Alignment and Discriminative Feature Learning for Unsupervised Deep Domain Adaptation
Chao Chen, Zhihong Chen, Boyuan Jiang, Xinyu Jin
Pages 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
Pages 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
Pages 3312-3320 |  PDF

Distributionally Robust Semi-Supervised Learning for People-Centric Sensing
Kaixuan Chen, Lina Yao, Dalin Zhang, Xiaojun Chang, Guodong Long, Sen Wang
Pages 3321-3328 |  PDF

Deep Neural Network Quantization via Layer-Wise Optimization Using Limited Training Data
Shangyu Chen, Wenya Wang, Sinno Jialin Pan
Pages 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
Pages 3337-3346 |  PDF

Data-Adaptive Metric Learning with Scale Alignment
Shuo Chen, Chen Gong, Jian Yang, Ying Tai, Le Hui, Jun Li
Pages 3347-3354 |  PDF

A Layer Decomposition-Recomposition Framework for Neuron Pruning towards Accurate Lightweight Networks
Weijie Chen, Yuan Zhang, Di Xie, Shiliang Pu
Pages 3355-3362 |  PDF

Embedding Uncertain Knowledge Graphs
Xuelu Chen, Muhao Chen, Weijia Shi, Yizhou Sun, Carlo Zaniolo
Pages 3363-3370 |  PDF

Tensor Decomposition for Multilayer Networks Clustering
Zitai Chen, Chuan Chen, Zibin Zheng, Yi Zhu
Pages 3371-3378 |  PDF

Image Block Augmentation for One-Shot Learning
Zitian Chen, Yanwei Fu, Kaiyu Chen, Yu-Gang Jiang
Pages 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
Pages 3387-3395 |  PDF

Utilizing Class Information for Deep Network Representation Shaping
Daeyoung Choi, Wonjong Rhee
Pages 3396-3403 |  PDF

Diverse Exploration via Conjugate Policies for Policy Gradient Methods
Andrew Cohen, Xingye Qiao, Lei Yu, Elliot Way, Xiangrong Tong
Pages 3404-3411 |  PDF

Spatially Invariant Unsupervised Object Detection with Convolutional Neural Networks
Eric Crawford, Joelle Pineau
Pages 3412-3420 |  PDF

Efficient Online Learning for Mapping Kernels on Linguistic Structures
Giovanni Da San Martino, Alessandro Sperduti, Fabio Aiolli, Alessandro Moschitti
Pages 3421-3428 |  PDF

Learning Segmentation Masks with the Independence Prior
Songmin Dai, Xiaoqiang Li, Lu Wang, Pin Wu, Weiqin Tong, Yimin Chen
Pages 3429-3436 |  PDF

Inverse Abstraction of Neural Networks Using Symbolic Interpolation
Sumanth Dathathri, Sicun Gao, Richard M. Murray
Pages 3437-3444 |  PDF

Balanced Linear Contextual Bandits
Maria Dimakopoulou, Zhengyuan Zhou, Susan Athey, Guido Imbens
Pages 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
Pages 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
Pages 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
Pages 3470-3477 |  PDF

Multistream Classification with Relative Density Ratio Estimation
Bo Dong, Yang Gao, Swarup Chandra, Latifur Khan
Pages 3478-3485 |  PDF

Single-Label Multi-Class Image Classification by Deep Logistic Regression
Qi Dong, Xiatian Zhu, Shaogang Gong
Pages 3486-3493 |  PDF

How to Combine Tree-Search Methods in Reinforcement Learning
Yonathan Efroni, Gal Dalal, Bruno Scherrer, Shie Mannor
Pages 3494-3501 |  PDF

Human-Like Delicate Region Erasing Strategy for Weakly Supervised Detection
Qing En, Lijuan Duan, Zhaoxiang Zhang, Xiang Bai, Yundong Zhang
Pages 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
Pages 3510-3517 |  PDF

Partial Multi-Label Learning via Credible Label Elicitation
Jun-Peng Fang, Min-Ling Zhang
Pages 3518-3525 |  PDF

Improved Knowledge Graph Embedding Using Background Taxonomic Information
Bahare Fatemi, Siamak Ravanbakhsh, David Poole
Pages 3526-3533 |  PDF

Unsupervised Feature Selection by Pareto Optimization
Chao Feng, Chao Qian, Ke Tang
Pages 3534-3541 |  PDF

Partial Label Learning with Self-Guided Retraining
Lei Feng, Bo An
Pages 3542-3549 |  PDF

Collaboration Based Multi-Label Learning
Lei Feng, Bo An, Shuo He
Pages 3550-3557 |  PDF

Hypergraph Neural Networks
Yifan Feng, Haoxuan You, Zizhao Zhang, Rongrong Ji, Yue Gao
Pages 3558-3565 |  PDF

Transductive Bounds for the Multi-Class Majority Vote Classifier
Vasilii Feofanov, Emilie Devijver, Massih-Reza Amini
Pages 3566-3573 |  PDF

The Goldilocks Zone: Towards Better Understanding of Neural Network Loss Landscapes
Stanislav Fort, Adam Scherlis
Pages 3574-3581 |  PDF

Combined Reinforcement Learning via Abstract Representations
Vincent Francois-Lavet, Yoshua Bengio, Doina Precup, Joelle Pineau
Pages 3582-3589 |  PDF

Efficient Data Point Pruning for One-Class SVM
Yasuhiro Fujiwara, Sekitoshi Kanai, Junya Arai, Yasutoshi Ida, Naonori Ueda
Pages 3590-3597 |  PDF

Fully Convolutional Network with Multi-Step Reinforcement Learning for Image Processing
Ryosuke Furuta, Naoto Inoue, Toshihiko Yamasaki
Pages 3598-3605 |  PDF

Bayesian Posterior Approximation via Greedy Particle Optimization
Futoshi Futami, Zhenghang Cui, Issei Sato, Masashi Sugiyama
Pages 3606-3613 |  PDF

Towards Reliable Learning for High Stakes Applications
Jinyang Gao, Junjie Yao, Yingxia Shao
Pages 3614-3621 |  PDF

Explainable Recommendation through Attentive Multi-View Learning
Jingyue Gao, Xiting Wang, Yasha Wang, Xing Xie
Pages 3622-3629 |  PDF

Wasserstein Soft Label Propagation on Hypergraphs: Algorithm and Generalization Error Bounds
Tingran Gao, Shahab Asoodeh, Yi Huang, James Evans
Pages 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
Pages 3638-3646 |  PDF

Off-Policy Deep Reinforcement Learning by Bootstrapping the Covariate Shift
Carles Gelada, Marc G. Bellemare
Pages 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
Pages 3656-3663 |  PDF

Counting and Sampling from Markov Equivalent DAGs Using Clique Trees
AmirEmad Ghassami, Saber Salehkaleybar, Negar Kiyavash, Kun Zhang
Pages 3664-3671 |  PDF

Eliminating Latent Discrimination: Train Then Mask
Soheil Ghili, Ehsan Kazemi, Amin Karbasi
Pages 3672-3680 |  PDF

Interpretation of Neural Networks Is Fragile
Amirata Ghorbani, Abubakar Abid, James Zou
Pages 3681-3688 |  PDF

Using Benson’s Algorithm for Regularization Parameter Tracking
Joachim Giesen, Sören Laue, Andreas Löhne, Christopher Schneider
Pages 3689-3696 |  PDF

Scalable and Efficient Pairwise Learning to Achieve Statistical Accuracy
Bin Gu, Zhouyuan Huo, Heng Huang
Pages 3697-3704 |  PDF

AFS: An Attention-Based Mechanism for Supervised Feature Selection
Ning Gui, Danni Ge, Ziyin Hu
Pages 3705-3713 |  PDF

MixUp as Locally Linear Out-of-Manifold Regularization
Hongyu Guo, Yongyi Mao, Richong Zhang
Pages 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
Pages 3723-3730 |  PDF

Smooth Deep Image Generator from Noises
Tianyu Guo, Chang Xu, Boxin Shi, Chao Xu, Dacheng Tao
Pages 3731-3738 |  PDF

Hybrid Reinforcement Learning with Expert State Sequences
Xiaoxiao Guo, Shiyu Chang, Mo Yu, Gerald Tesauro, Murray Campbell
Pages 3739-3746 |  PDF

Distributional Semantics Meets Multi-Label Learning
Vivek Gupta, Rahul Wadbude, Nagarajan Natarajan, Harish Karnick, Prateek Jain, Piyush Rai
Pages 3747-3754 |  PDF

Temporal Anomaly Detection: Calibrating the Surprise
Eyal Gutflaish, Aryeh Kontorovich, Sivan Sabato, Ofer Biller, Oded Sofer
Pages 3755-3762 |  PDF

Efficient and Scalable Multi-Task Regression on Massive Number of Tasks
Xiao He, Francesco Alesiani, Ammar Shaker
Pages 3763-3770 |  PDF

Knowledge Distillation with Adversarial Samples Supporting Decision Boundary
Byeongho Heo, Minsik Lee, Sangdoo Yun, Jin Young Choi
Pages 3771-3778 |  PDF

Knowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons
Byeongho Heo, Minsik Lee, Sangdoo Yun, Jin Young Choi
Pages 3779-3787 |  PDF

The SpectACl of Nonconvex Clustering: A Spectral Approach to Density-Based Clustering
Sibylle Hess, Wouter Duivesteijn, Philipp Honysz, Katharina Morik
Pages 3788-3795 |  PDF

Multi-Task Deep Reinforcement Learning with PopArt
Matteo Hessel, Hubert Soyer, Lasse Espeholt, Wojciech Czarnecki, Simon Schmitt, Hado van Hasselt
Pages 3796-3803 |  PDF

Interaction-Aware Factorization Machines for Recommender Systems
Fuxing Hong, Dongbo Huang, Ge Chen
Pages 3804-3811 |  PDF

Learning Anytime Predictions in Neural Networks via Adaptive Loss Balancing
Hanzhang Hu, Debadeepta Dey, Martial Hebert, J. Andrew Bagnell
Pages 3812-3821 |  PDF

Learning to Adaptively Scale Recurrent Neural Networks
Hao Hu, Liqiang Wang, Guo-Jun Qi
Pages 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
Pages 3830-3837 |  PDF

One-Pass Incomplete Multi-View Clustering
Menglei Hu, Songcan Chen
Pages 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
Pages 3846-3853 |  PDF

Efficient Quantization for Neural Networks with Binary Weights and Low Bitwidth Activations
Kun Huang, Bingbing Ni, Xiaokang Yang
Pages 3854-3861 |  PDF

Efficient Identification of Approximate Best Configuration of Training in Large Datasets
Silu Huang, Chi Wang, Bolin Ding, Surajit Chaudhuri
Pages 3862-3869 |  PDF

Bootstrap Estimated Uncertainty of the Environment Model for Model-Based Reinforcement Learning
Wenzhen Huang, Junge Zhang, Kaiqi Huang
Pages 3870-3877 |  PDF

Large-Scale Heterogeneous Feature Embedding
Xiao Huang, Qingquan Song, Fan Yang, Xia Hu
Pages 3878-3885 |  PDF

Manifold-Valued Image Generation with Wasserstein Generative Adversarial Nets
Zhiwu Huang, Jiqing Wu, Luc Van Gool
Pages 3886-3893 |  PDF

Inter-Class Angular Loss for Convolutional Neural Networks
Le Hui, Xiang Li, Chen Gong, Meng Fang, Joey Tianyi Zhou, Jian Yang
Pages 3894-3901 |  PDF

Tensorial Change Analysis Using Probabilistic Tensor Regression
Tsuyoshi Idé
Pages 3902-3909 |  PDF

Complex Moment-Based Supervised Eigenmap for Dimensionality Reduction
Akira Imakura, Momo Matsuda, Xiucai Ye, Tetsuya Sakurai
Pages 3910-3918 |  PDF

Estimating the Causal Effect from Partially Observed Time Series
Akane Iseki, Yusuke Mukuta, Yoshitaka Ushiku, Tatsuya Harada
Pages 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
Pages 3927-3934 |  PDF

Neural Collective Graphical Models for Estimating Spatio-Temporal Population Flow from Aggregated Data
Tomoharu Iwata, Hitoshi Shimizu
Pages 3935-3942 |  PDF

Meta-Descent for Online, Continual Prediction
Andrew Jacobsen, Matthew Schlegel, Cameron Linke, Thomas Degris, Adam White, Martha White
Pages 3943-3950 |  PDF

Model-Free IRL Using Maximum Likelihood Estimation
Vinamra Jain, Prashant Doshi, Bikramjit Banerjee
Pages 3951-3958 |  PDF

Classification with Costly Features Using Deep Reinforcement Learning
Jaromír Janisch, Tomáš Pevný, Viliam Lisý
Pages 3959-3966 |  PDF

Tile2Vec: Unsupervised Representation Learning for Spatially Distributed Data
Neal Jean, Sherrie Wang, Anshul Samar, George Azzari, David Lobell, Stefano Ermon
Pages 3967-3974 |  PDF

Multi-Dimensional Classification via kNN Feature Augmentation
Bin-Bin Jia, Min-Ling Zhang
Pages 3975-3982 |  PDF

Joint Semi-Supervised Feature Selection and Classification through Bayesian Approach
Bingbing Jiang, Xingyu Wu, Kui Yu, Huanhuan Chen
Pages 3983-3990 |  PDF

Fast Incremental SVDD Learning Algorithm with the Gaussian Kernel
Hansi Jiang, Haoyu Wang, Wenhao Hu, Deovrat Kakde, Arin Chaudhuri
Pages 3991-3998 |  PDF

Non-Asymptotic Uniform Rates of Consistency for k-NN Regression
Heinrich Jiang
Pages 3999-4006 |  PDF

Gaussian-Induced Convolution for Graphs
Jiatao Jiang, Zhen Cui, Chunyan Xu, Jian Yang
Pages 4007-4014 |  PDF

SCFont: Structure-Guided Chinese Font Generation via Deep Stacked Networks
Yue Jiang, Zhouhui Lian, Yingmin Tang, Jianguo Xiao
Pages 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
Pages 4023-4030 |  PDF

DoPAMINE: Double-Sided Masked CNN for Pixel Adaptive Multiplicative Noise Despeckling
Sunghwan Joo, Sungmin Cha, Taesup Moon
Pages 4031-4038 |  PDF

Precision-Recall versus Accuracy and the Role of Large Data Sets
Brendan Juba, Hai S. Le
Pages 4039-4048 |  PDF

Dimension-Free Error Bounds from Random Projections
Ata Kabán
Pages 4049-4056 |  PDF

Similarity Learning via Kernel Preserving Embedding
Zhao Kang, Yiwei Lu, Yuanzhang Su, Changsheng Li, Zenglin Xu
Pages 4057-4064 |  PDF

Guided Dropout
Rohit Keshari, Richa Singh, Mayank Vatsa
Pages 4065-4072 |  PDF

Mixture of Expert/Imitator Networks: Scalable Semi-Supervised Learning Framework
Shun Kiyono, Jun Suzuki, Kentaro Inui
Pages 4073-4081 |  PDF

Exploiting Class Learnability in Noisy Data
Matthew Klawonn, Eric Heim, James Hendler
Pages 4082-4089 |  PDF

Active Generative Adversarial Network for Image Classification
Quan Kong, Bin Tong, Martin Klinkigt, Yuki Watanabe, Naoto Akira, Tomokazu Murakami
Pages 4090-4097 |  PDF

On-Line Learning of Linear Dynamical Systems: Exponential Forgetting in Kalman Filters
Mark Kozdoba, Jakub Marecek, Tigran Tchrakian, Shie Mannor
Pages 4098-4105 |  PDF

Unsupervised Domain Adaptation by Matching Distributions Based on the Maximum Mean Discrepancy via Unilateral Transformations
Atsutoshi Kumagai, Tomoharu Iwata
Pages 4106-4113 |  PDF

Multi-Source Neural Variational Inference
Richard Kurle, Stephan Günnemann, Patrick van der Smagt
Pages 4114-4121 |  PDF

Unsupervised Domain Adaptation Based on Source-Guided Discrepancy
Seiichi Kuroki, Nontawat Charoenphakdee, Han Bao, Junya Honda, Issei Sato, Masashi Sugiyama
Pages 4122-4129 |  PDF

TransConv: Relationship Embedding in Social Networks
Yi-Yu Lai, Jennifer Neville, Dan Goldwasser
Pages 4130-4138 |  PDF

Accurate and Interpretable Factorization Machines
Liang Lan, Yu Geng
Pages 4139-4146 |  PDF

Gradient-Based Inference for Networks with Output Constraints
Jay Yoon Lee, Sanket Vaibhav Mehta, Michael Wick, Jean-Baptiste Tristan, Jaime Carbonell
Pages 4147-4154 |  PDF

Understanding Learned Models by Identifying Important Features at the Right Resolution
Kyubin Lee, Akshay Sood, Mark Craven
Pages 4155-4163 |  PDF

Structural Causal Bandits with Non-Manipulable Variables
Sanghack Lee, Elias Bareinboim
Pages 4164-4172 |  PDF

Communication-Efficient Stochastic Gradient MCMC for Neural Networks
Chunyuan Li, Changyou Chen, Yunchen Pu, Ricardo Henao, Lawrence Carin
Pages 4173-4180 |  PDF

Lifted Proximal Operator Machines
Jia Li, Cong Fang, Zhouchen Lin
Pages 4181-4188 |  PDF

From Zero-Shot Learning to Cold-Start Recommendation
Jingjing Li, Mengmeng Jing, Ke Lu, Lei Zhu, Yang Yang, Zi Huang
Pages 4189-4196 |  PDF

X-DMM: Fast and Scalable Model Based Text Clustering
Linwei Li, Liangchen Guo, Zhenying He, Yinan Jing, X. Sean Wang
Pages 4197-4204 |  PDF

Sign-Full Random Projections
Ping Li
Pages 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
Pages 4213-4220 |  PDF

Spectral Clustering in Heterogeneous Information Networks
Xiang Li, Ben Kao, Zhaochun Ren, Dawei Yin
Pages 4221-4228 |  PDF

Learning Adaptive Random Features
Yanjun Li, Kai Zhang, Jun Wang, Sanjiv Kumar
Pages 4229-4236 |  PDF

Towards Automated Semi-Supervised Learning
Yu-Feng Li, Hai Wang, Tong Wei, Wei-Wei Tu
Pages 4237-4244 |  PDF

Learning Disentangled Representation with Pairwise Independence
Zejian Li, Yongchuan Tang, Wei Li, Yongxing He
Pages 4245-4252 |  PDF

Exploiting Coarse-to-Fine Task Transfer for Aspect-Level Sentiment Classification
Zheng Li, Ying Wei, Yu Zhang, Xiang Zhang, Xin Li
Pages 4253-4260 |  PDF

SepNE: Bringing Separability to Network Embedding
Ziyao Li, Liang Zhang, Guojie Song
Pages 4261-4268 |  PDF

Collaborative, Dynamic and Diversified User Profiling
Shangsong Liang
Pages 4269-4276 |  PDF

Learning Logistic Circuits
Yitao Liang, Guy Van den Broeck
Pages 4277-4286 |  PDF

CircConv: A Structured Convolution with Low Complexity
Siyu Liao, Bo Yuan
Pages 4287-4294 |  PDF

Evolutionary Manytasking Optimization Based on Symbiosis in Biocoenosis
Rung-Tzuo Liaw, Chuan-Kang Ting
Pages 4295-4303 |  PDF

Non-Compensatory Psychological Models for Recommender Systems
Chen Lin, Xiaolin Shen, Si Chen, Muhua Zhu, Yanghua Xiao
Pages 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
Pages 4312-4319 |  PDF

MFPCA: Multiscale Functional Principal Component Analysis
Zhenhua Lin, Hongtu Zhu
Pages 4320-4327 |  PDF

Learning Plackett-Luce Mixtures from Partial Preferences
Ao Liu, Zhibing Zhao, Chao Liao, Pinyan Lu, Lirong Xia
Pages 4328-4335 |  PDF

Near-Neighbor Methods in Random Preference Completion
Ao Liu, Qiong Wu, Zhenming Liu, Lirong Xia
Pages 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
Pages 4344-4351 |  PDF

Trust Region Evolution Strategies
Guoqing Liu, Li Zhao, Feidiao Yang, Jiang Bian, Tao Qin, Nenghai Yu, Tie-Yan Liu
Pages 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
Pages 4360-4367 |  PDF

A Theoretically Guaranteed Deep Optimization Framework for Robust Compressive Sensing MRI
Risheng Liu, Yuxi Zhang, Shichao Cheng, Xin Fan, Zhongxuan Luo
Pages 4368-4375 |  PDF

A Bandit Approach to Maximum Inner Product Search
Rui Liu, Tianyi Wu, Barzan Mozafari
Pages 4376-4383 |  PDF

The Utility of Sparse Representations for Control in Reinforcement Learning
Vincent Liu, Raksha Kumaraswamy, Lei Le, Martha White
Pages 4384-4391 |  PDF

Efficient and Effective Incomplete Multi-View Clustering
Xinwang Liu, Xinzhong Zhu, Miaomiao Li, Chang Tang, En Zhu, Jianping Yin, Wen Gao
Pages 4392-4399 |  PDF

Ranking-Based Deep Cross-Modal Hashing
Xuanwu Liu, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Yazhou Ren, Maozu Guo
Pages 4400-4407 |  PDF

Adaptive Sparse Confidence-Weighted Learning for Online Feature Selection
Yanbin Liu, Yan Yan, Ling Chen, Yahong Han, Yi Yang
Pages 4408-4415 |  PDF

Active Sampling for Open-Set Classification without Initial Annotation
Zhao-Yang Liu, Sheng-Jun Huang
Pages 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
Pages 4424-4431 |  PDF

Guiding the One-to-One Mapping in CycleGAN via Optimal Transport
Guansong Lu, Zhiming Zhou, Yuxuan Song, Kan Ren, Yong Yu
Pages 4432-4439 |  PDF

Super Sparse Convolutional Neural Networks
Yao Lu, Guangming Lu, Bob Zhang, Yuanrong Xu, Jinxing Li
Pages 4440-4447 |  PDF

Block Belief Propagation for Parameter Learning in Markov Random Fields
You Lu, Zhiyuan Liu, Bert Huang
Pages 4448-4455 |  PDF

Relation Structure-Aware Heterogeneous Information Network Embedding
Yuanfu Lu, Chuan Shi, Linmei Hu, Zhiyuan Liu
Pages 4456-4463 |  PDF

Scaling-Up Split-Merge MCMC with Locality Sensitive Sampling (LSS)
Chen Luo, Anshumali Shrivastava
Pages 4464-4471 |  PDF

Orthogonality-Promoting Dictionary Learning via Bayesian Inference
Lei Luo, Jie Xu, Cheng Deng, Heng Huang
Pages 4472-4479 |  PDF

Robust Metric Learning on Grassmann Manifolds with Generalization Guarantees
Lei Luo, Jie Xu, Cheng Deng, Heng Huang
Pages 4480-4487 |  PDF

Bias-Variance Trade-Off in Hierarchical Probabilistic Models Using Higher-Order Feature Interactions
Simon Luo, Mahito Sugiyama
Pages 4488-4495 |  PDF

Distributed PageRank Computation: An Improved Theoretical Study
Siqiang Luo
Pages 4496-4503 |  PDF

A Comparative Analysis of Expected and Distributional Reinforcement Learning
Clare Lyle, Marc G. Bellemare, Pablo Samuel Castro
Pages 4504-4511 |  PDF

State-Augmentation Transformations for Risk-Sensitive Reinforcement Learning
Shuai Ma, Jia Yuan Yu
Pages 4512-4519 |  PDF

LabelForest: Non-Parametric Semi-Supervised Learning for Activity Recognition
Yuchao Ma, Hassan Ghasemzadeh
Pages 4520-4527 |  PDF

Complex Unitary Recurrent Neural Networks Using Scaled Cayley Transform
Kehelwala D. G. Maduranga, Kyle E. Helfrich, Qiang Ye
Pages 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
Pages 4536-4543 |  PDF

A Distillation Approach to Data Efficient Individual Treatment Effect Estimation
Maggie Makar, Adith Swaminathan, Emre Kıcıman
Pages 4544-4551 |  PDF

DyS: A Framework for Mixture Models in Quantification
André Maletzke, Denis dos Reis, Everton Cherman, Gustavo Batista
Pages 4552-4560 |  PDF

Towards Better Interpretability in Deep Q-Networks
Raghuram Mandyam Annasamy, Katia Sycara
Pages 4561-4569 |  PDF

Cost-Sensitive Learning to Rank
Ryan McBride, Ke Wang, Zhouyang Ren, Wenyuan Li
Pages 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
Pages 4578-4585 |  PDF

A Probabilistic Derivation of LASSO and L12-Norm Feature Selections
Di Ming, Chris Ding, Feiping Nie
Pages 4586-4593 |  PDF

Cogra: Concept-Drift-Aware Stochastic Gradient Descent for Time-Series Forecasting
Kohei Miyaguchi, Hiroshi Kajino
Pages 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
Pages 4602-4609 |  PDF

ClusterGAN: Latent Space Clustering in Generative Adversarial Networks
Sudipto Mukherjee, Himanshu Asnani, Eugene Lin, Sreeram Kannan
Pages 4610-4617 |  PDF

Subspace Selection via DR-Submodular Maximization on Lattices
So Nakashima, Takanori Maehara
Pages 4618-4625 |  PDF

Number Sequence Prediction Problems for Evaluating Computational Powers of Neural Networks
Hyoungwook Nam, Segwang Kim, Kyomin Jung
Pages 4626-4633 |  PDF

Efficient Counterfactual Learning from Bandit Feedback
Yusuke Narita, Shota Yasui, Kohei Yata
Pages 4634-4641 |  PDF

Multigrid Backprojection Super–Resolution and Deep Filter Visualization
Pablo Navarrete Michelini, Hanwen Liu, Dan Zhu
Pages 4642-4650 |  PDF

Biologically Motivated Algorithms for Propagating Local Target Representations
Alexander G. Ororbia, Ankur Mali
Pages 4651-4658 |  PDF

Determinantal Reinforcement Learning
Takayuki Osogami, Rudy Raymond
Pages 4659-4666 |  PDF

Non-Parametric Transformation Networks for Learning General Invariances from Data
Dipan K. Pal, Marios Savvides
Pages 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
Pages 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
Pages 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
Pages 4691-4698 |  PDF

Adversarial Dropout for Recurrent Neural Networks
Sungrae Park, Kyungwoo Song, Mingi Ji, Wonsung Lee, Il-Chul Moon
Pages 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
Pages 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
Pages 4715-4722 |  PDF

Interpretable Preference Learning: A Game Theoretic Framework for Large Margin On-Line Feature and Rule Learning
Mirko Polato, Fabio Aiolli
Pages 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
Pages 4731-4738 |  PDF

Robust Optimization over Multiple Domains
Qi Qian, Shenghuo Zhu, Jiasheng Tang, Rong Jin, Baigui Sun, Hao Li
Pages 4739-4746 |  PDF

Composite Binary Decomposition Networks
You Qiaoben, Zheng Wang, Jianguo Li, Yinpeng Dong, Yu-Gang Jiang, Jun Zhu
Pages 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
Pages 4755-4762 |  PDF

Training Complex Models with Multi-Task Weak Supervision
Alexander Ratner, Braden Hancock, Jared Dunnmon, Frederic Sala, Shreyash Pandey, Christopher Ré
Pages 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
Pages 4772-4779 |  PDF

Regularized Evolution for Image Classifier Architecture Search
Esteban Real, Alok Aggarwal, Yanping Huang, Quoc V. Le
Pages 4780-4789 |  PDF

On Fair Cost Sharing Games in Machine Learning
Ievgen Redko, Charlotte Laclau
Pages 4790-4797 |  PDF

Deep Recurrent Survival Analysis
Kan Ren, Jiarui Qin, Lei Zheng, Zhengyu Yang, Weinan Zhang, Lin Qiu, Yong Yu
Pages 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
Pages 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
Pages 4814-4821 |  PDF

Latent Multi-Task Architecture Learning
Sebastian Ruder, Joachim Bingel, Isabelle Augenstein, Anders Søgaard
Pages 4822-4829 |  PDF

How Many Pairwise Preferences Do We Need to Rank a Graph Consistently?
Aadirupa Saha, Rakesh Shivanna, Chiranjib Bhattacharyya
Pages 4830-4837 |  PDF

Covariate Shift Adaptation on Learning from Positive and Unlabeled Data
Tomoya Sakai, Nobuyuki Shimizu
Pages 4838-4845 |  PDF

Granger-Causal Attentive Mixtures of Experts: Learning Important Features with Neural Networks
Patrick Schwab, Djordje Miladinovic, Walter Karlen
Pages 4846-4853 |  PDF

Congestion Graphs for Automated Time Predictions
Arik Senderovich, J. Christopher Beck, Avigdor Gal, Matthias Weidlich
Pages 4854-4861 |  PDF

Unsupervised Learning with Contrastive Latent Variable Models
Kristen A. Severson, Soumya Ghosh, Kenney Ng
Pages 4862-4869 |  PDF

Sparse Reject Option Classifier Using Successive Linear Programming
Kulin Shah, Naresh Manwani
Pages 4870-4877 |  PDF

Geometric Hawkes Processes with Graph Convolutional Recurrent Neural Networks
Jin Shang, Mingxuan Sun
Pages 4878-4885 |  PDF

MEAL: Multi-Model Ensemble via Adversarial Learning
Zhiqiang Shen, Zhankui He, Xiangyang Xue
Pages 4886-4893 |  PDF

Multi-View Anomaly Detection: Neighborhood in Locality Matters
Xiang-Rong Sheng, De-Chuan Zhan, Su Lu, Yuan Jiang
Pages 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
Pages 4902-4909 |  PDF

Automatic Code Review by Learning the Revision of Source Code
Shu-Ting Shi, Ming Li, David Lo, Ferdian Thung, Xuan Huo
Pages 4910-4917 |  PDF

Sublinear Time Numerical Linear Algebra for Structured Matrices
Xiaofei Shi, David P. Woodruff
Pages 4918-4925 |  PDF

Label Embedding with Partial Heterogeneous Contexts
Yaxin Shi, Donna Xu, Yuangang Pan, Ivor W. Tsang, Shirui Pan
Pages 4926-4933 |  PDF

Evaluating Recommender System Stability with Influence-Guided Fuzzing
David Shriver, Sebastian Elbaum, Matthew B. Dwyer, David S. Rosenblum
Pages 4934-4942 |  PDF

Sensitivity Analysis of Deep Neural Networks
Hai Shu, Hongtu Zhu
Pages 4943-4950 |  PDF

Transferable Curriculum for Weakly-Supervised Domain Adaptation
Yang Shu, Zhangjie Cao, Mingsheng Long, Jianmin Wang
Pages 4951-4958 |  PDF

Unsupervised Transfer Learning for Spoken Language Understanding in Intelligent Agents
Aditya Siddhant, Anuj Goyal, Angeliki Metallinou
Pages 4959-4966 |  PDF

Safe Policy Improvement with Baseline Bootstrapping in Factored Environments
Thiago D. Simão, Matthijs T. J. Spaan
Pages 4967-4974 |  PDF

Composable Modular Reinforcement Learning
Christopher Simpkins, Charles Isbell
Pages 4975-4982 |  PDF

Hierarchical Context Enabled Recurrent Neural Network for Recommendation
Kyungwoo Song, Mingi Ji, Sungrae Park, Il-Chul Moon
Pages 4983-4991 |  PDF

Diversity-Driven Extensible Hierarchical Reinforcement Learning
Yuhang Song, Jianyi Wang, Thomas Lukasiewicz, Zhenghua Xu, Mai Xu
Pages 4992-4999 |  PDF

On the Persistence of Clustering Solutions and True Number of Clusters in a Dataset
Amber Srivastava, Mayank Baranwal, Srinivasa Salapaka
Pages 5000-5007 |  PDF

Soft Facial Landmark Detection by Label Distribution Learning
Kai Su, Xin Geng
Pages 5008-5015 |  PDF

Partial Multi-Label Learning by Low-Rank and Sparse Decomposition
Lijuan Sun, Songhe Feng, Tao Wang, Congyan Lang, Yi Jin
Pages 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
Pages 5024-5032 |  PDF

Non-Ergodic Convergence Analysis of Heavy-Ball Algorithms
Tao Sun, Penghang Yin, Dongsheng Li, Chun Huang, Lei Guan, Hao Jiang
Pages 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
Pages 5041-5048 |  PDF

Learning Vine Copula Models for Synthetic Data Generation
Yi Sun, Alfredo Cuesta-Infante, Kalyan Veeramachaneni
Pages 5049-5057 |  PDF

Matrix Completion for Graph-Based Deep Semi-Supervised Learning
Fariborz Taherkhani, Hadi Kazemi, Nasser M. Nasrabadi
Pages 5058-5065 |  PDF

Variational Autoencoder with Implicit Optimal Priors
Hiroshi Takahashi, Tomoharu Iwata, Yuki Yamanaka, Masanori Yamada, Satoshi Yagi
Pages 5066-5073 |  PDF

Character n-Gram Embeddings to Improve RNN Language Models
Sho Takase, Jun Suzuki, Masaaki Nagata
Pages 5074-5082 |  PDF

Coreset Stochastic Variance-Reduced Gradient with Application to Optimal Margin Distribution Machine
Zhi-Hao Tan, Teng Zhang, Wei Wang
Pages 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
Pages 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
Pages 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
Pages 5109-5116 |  PDF

Self-Paced Active Learning: Query the Right Thing at the Right Time
Ying-Peng Tang, Sheng-Jun Huang
Pages 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
Pages 5125-5132 |  PDF

Optimization of Hierarchical Regression Model with Application to Optimizing Multi-Response Regression K-ary Trees
Pooya Tavallali, Peyman Tavallali, Mukesh Singhal
Pages 5133-5142 |  PDF

Holographic Factorization Machines for Recommendation
Yi Tay, Shuai Zhang, Anh Tuan Luu, Siu Cheung Hui, Lina Yao, Tran Dang Quang Vinh
Pages 5143-5150 |  PDF

Clipped Matrix Completion: A Remedy for Ceiling Effects
Takeshi Teshima, Miao Xu, Issei Sato, Masashi Sugiyama
Pages 5151-5158 |  PDF

A Non–Convex Optimization Approach to Correlation Clustering
Erik Thiel, Morteza Haghir Chehreghani, Devdatt Dubhashi
Pages 5159-5166 |  PDF

Learning Competitive and Discriminative Reconstructions for Anomaly Detection
Kai Tian, Shuigeng Zhou, Jianping Fan, Jihong Guan
Pages 5167-5174 |  PDF

Natural Option Critic
Saket Tiwari, Philip S. Thomas
Pages 5175-5182 |  PDF

Learning Triggers for Heterogeneous Treatment Effects
Christopher Tran, Elena Zheleva
Pages 5183-5190 |  PDF

Improving GAN with Neighbors Embedding and Gradient Matching
Ngoc-Trung Tran, Tuan-Anh Bui, Ngai-Man Cheung
Pages 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
Pages 5199-5206 |  PDF

Automatic Bayesian Density Analysis
Antonio Vergari, Alejandro Molina, Robert Peharz, Zoubin Ghahramani, Kristian Kersting, Isabel Valera
Pages 5207-5215 |  PDF

Robust Anomaly Detection in Videos Using Multilevel Representations
Hung Vu, Tu Dinh Nguyen, Trung Le, Wei Luo, Dinh Phung
Pages 5216-5223 |  PDF

CAMO: A Collaborative Ranking Method for Content Based Recommendation
Chengwei Wang, Tengfei Zhou, Chen Chen, Tianlei Hu, Gang Chen
Pages 5224-5231 |  PDF

Video Inpainting by Jointly Learning Temporal Structure and Spatial Details
Chuan Wang, Haibin Huang, Xiaoguang Han, Jue Wang
Pages 5232-5239 |  PDF

Bounding Uncertainty for Active Batch Selection
Hanmo Wang, Runwu Zhou, Yi-Dong Shen
Pages 5240-5247 |  PDF

Adversarial Binary Collaborative Filtering for Implicit Feedback
Haoyu Wang, Nan Shao, Defu Lian
Pages 5248-5255 |  PDF

Theoretical Analysis of Label Distribution Learning
Jing Wang, Xin Geng
Pages 5256-5263 |  PDF

Orderly Subspace Clustering
Jing Wang, Atsushi Suzuki, Linchuan Xu, Feng Tian, Liang Yang, Kenji Yamanishi
Pages 5264-5272 |  PDF

SVM-Based Deep Stacking Networks
Jingyuan Wang, Kai Feng, Junjie Wu
Pages 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
Pages 5281-5288 |  PDF

Scalable Distributed DL Training: Batching Communication and Computation
Shaoqi Wang, Aidi Pi, Xiaobo Zhou
Pages 5289-5296 |  PDF

HyperAdam: A Learnable Task-Adaptive Adam for Network Training
Shipeng Wang, Jian Sun, Zongben Xu
Pages 5297-5304 |  PDF

A Sharper Generalization Bound for Divide-and-Conquer Ridge Regression
Shusen Wang
Pages 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
Pages 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
Pages 5321-5328 |  PDF

Explainable Reasoning over Knowledge Graphs for Recommendation
Xiang Wang, Dingxian Wang, Canran Xu, Xiangnan He, Yixin Cao, Tat-Seng Chua
Pages 5329-5336 |  PDF

Hyperbolic Heterogeneous Information Network Embedding
Xiao Wang, Yiding Zhang, Chuan Shi
Pages 5337-5344 |  PDF

Transferable Attention for Domain Adaptation
Ximei Wang, Liang Li, Weirui Ye, Mingsheng Long, Jianmin Wang
Pages 5345-5352 |  PDF

Multiple Independent Subspace Clusterings
Xing Wang, Jun Wang, Carlotta Domeniconi, Guoxian Yu, Guoqiang Xiao, Maozu Guo
Pages 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
Pages 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
Pages 5369-5376 |  PDF

Non-Autoregressive Machine Translation with Auxiliary Regularization
Yiren Wang, Fei Tian, Di He, Tao Qin, ChengXiang Zhai, Tie-Yan Liu
Pages 5377-5384 |  PDF

Learning Compact Model for Large-Scale Multi-Label Data
Tong Wei, Yu-Feng Li
Pages 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
Pages 5393-5400 |  PDF

Exploiting Local Feature Patterns for Unsupervised Domain Adaptation
Jun Wen, Risheng Liu, Nenggan Zheng, Qian Zheng, Zhefeng Gong, Junsong Yuan
Pages 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
Pages 5409-5416 |  PDF

Efficient Gaussian Process Classification Using Pólya-Gamma Data Augmentation
Florian Wenzel, Théo Galy-Fajou, Christan Donner, Marius Kloft, Manfred Opper
Pages 5417-5424 |  PDF

How Does Knowledge of the AUC Constrain the Set of Possible Ground-Truth Labelings?
Jacob Whitehill
Pages 5425-5432 |  PDF

Uncovering Specific-Shape Graph Anomalies in Attributed Graphs
Nannan Wu, Wenjun Wang, Feng Chen, Jianxin Li, Bo Li, Jinpeng Huai
Pages 5433-5440 |  PDF

Point Cloud Processing via Recurrent Set Encoding
Pengxiang Wu, Chao Chen, Jingru Yi, Dimitris Metaxas
Pages 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
Pages 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
Pages 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
Pages 5466-5473 |  PDF

Bayesian Deep Collaborative Matrix Factorization
Teng Xiao, Shangsong Liang, Weizhou Shen, Zaiqiao Meng
Pages 5474-5481 |  PDF

RS3CIS: Robust Single-Step Spectral Clustering with Intrinsic Subspace
Yun Xiao, Pengzhen Ren, Zhihui Li, Xiaojiang Chen, Xin Wang, Dingyi Fang
Pages 5482-5489 |  PDF

Understanding Persuasion Cascades in Online Product Rating Systems
Hong Xie, Yongkun Li, John C.S. Lui
Pages 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
Pages 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
Pages 5508-5515 |  PDF

SpHMC: Spectral Hamiltonian Monte Carlo
Haoyi Xiong, Kafeng Wang, Jiang Bian, Zhanxing Zhu, Cheng-Zhong Xu, Zhishan Guo, Jun Huan
Pages 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
Pages 5525-5532 |  PDF

Hierarchical Classification Based on Label Distribution Learning
Changdong Xu, Xin Geng
Pages 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
Pages 5541-5548 |  PDF

Dueling Bandits with Qualitative Feedback
Liyuan Xu, Junya Honda, Masashi Sugiyama
Pages 5549-5556 |  PDF

Partial Label Learning via Label Enhancement
Ning Xu, Jiaqi Lv, Xin Geng
Pages 5557-5564 |  PDF

Data-Distortion Guided Self-Distillation for Deep Neural Networks
Ting-Bing Xu, Cheng-Lin Liu
Pages 5565-5572 |  PDF

Task-Driven Common Representation Learning via Bridge Neural Network
Yao Xu, Xueshuang Xiang, Meiyu Huang
Pages 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
Pages 5581-5588 |  PDF

Active Learning of Multi-Class Classification Models from Ordered Class Sets
Yanbing Xue, Milos Hauskrecht
Pages 5589-5596 |  PDF

Frame and Feature-Context Video Super-Resolution
Bo Yan, Chuming Lin, Weimin Tan
Pages 5597-5604 |  PDF

Oversampling for Imbalanced Data via Optimal Transport
Yuguang Yan, Mingkui Tan, Yanwu Xu, Jiezhang Cao, Michael Ng, Huaqing Min, Qingyao Wu
Pages 5605-5612 |  PDF

Cross-Domain Visual Representations via Unsupervised Graph Alignment
Baoyao Yang, Pong C. Yuen
Pages 5613-5620 |  PDF

Weighted Oblique Decision Trees
Bin-Bin Yang, Song-Qing Shen, Wei Gao
Pages 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
Pages 5628-5635 |  PDF

Confidence Weighted Multitask Learning
Peng Yang, Peilin Zhao, Jiayu Zhou, Xin Gao
Pages 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
Pages 5644-5651 |  PDF

Deep Robust Unsupervised Multi-Modal Network
Yang Yang, Yi-Feng Wu, De-Chuan Zhan, Zhi-Bin Liu, Yuan Jiang
Pages 5652-5659 |  PDF

Learning Personalized Attribute Preference via Multi-Task AUC Optimization
Zhiyong Yang, Qianqian Xu, Xiaochun Cao, Qingming Huang
Pages 5660-5667 |  PDF

Revisiting Spatial-Temporal Similarity: A Deep Learning Framework for Traffic Prediction
Huaxiu Yao, Xianfeng Tang, Hua Wei, Guanjie Zheng, Zhenhui Li
Pages 5668-5675 |  PDF

Balanced Sparsity for Efficient DNN Inference on GPU
Zhuliang Yao, Shijie Cao, Wencong Xiao, Chen Zhang, Lanshun Nie
Pages 5676-5683 |  PDF

Iterative Classroom Teaching
Teresa Yeo, Parameswaran Kamalaruban, Adish Singla, Arpit Merchant, Thibault Asselborn, Louis Faucon, Pierre Dillenbourg, Volkan Cevher
Pages 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
Pages 5693-5700 |  PDF

Network Recasting: A Universal Method for Network Architecture Transformation
Joonsang Yu, Sungbum Kang, Kiyoung Choi
Pages 5701-5708 |  PDF

Multi-Order Attentive Ranking Model for Sequential Recommendation
Lu Yu, Chuxu Zhang, Shangsong Liang, Xiangliang Zhang
Pages 5709-5716 |  PDF

Interpreting Deep Models for Text Analysis via Optimization and Regularization Methods
Hao Yuan, Yongjun Chen, Xia Hu, Shuiwang Ji
Pages 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
Pages 5725-5732 |  PDF

Partially Observable Multi-Sensor Sequential Change Detection: A Combinatorial Multi-Armed Bandit Approach
Chen Zhang, Steven C.H. Hoi
Pages 5733-5740 |  PDF

Active Mini-Batch Sampling Using Repulsive Point Processes
Cheng Zhang, Cengiz öztireli, Stephan Mandt, Giampiero Salvi
Pages 5741-5748 |  PDF

Learning Set Functions with Limited Complementarity
Hanrui Zhang
Pages 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
Pages 5757-5764 |  PDF

A Powerful Global Test Statistic for Functional Statistical Inference
Jingwen Zhang, Joseph Ibrahim, Tengfei Li, Hongtu Zhu
Pages 5765-5772 |  PDF

Interactive Attention Transfer Network for Cross-Domain Sentiment Classification
Kai Zhang, Hefu Zhang, Qi Liu, Hongke Zhao, Hengshu Zhu, Enhong Chen
Pages 5773-5780 |  PDF

Learning to Communicate and Solve Visual Blocks-World Tasks
Qi Zhang, Richard Lewis, Satinder Singh, Edmund Durfee
Pages 5781-5788 |  PDF

ACE: An Actor Ensemble Algorithm for Continuous Control with Tree Search
Shangtong Zhang, Hengshuai Yao
Pages 5789-5796 |  PDF

QUOTA: The Quantile Option Architecture for Reinforcement Learning
Shangtong Zhang, Hengshuai Yao
Pages 5797-5804 |  PDF

Hashtag Recommendation for Photo Sharing Services
Suwei Zhang, Yuan Yao, Feng Xu, Hanghang Tong, Xiaohui Yan, Jian Lu
Pages 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
Pages 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
Pages 5821-5828 |  PDF

Bayesian Graph Convolutional Neural Networks for Semi-Supervised Classification
Yingxue Zhang, Soumyasundar Pal, Mark Coates, Deniz Ustebay
Pages 5829-5836 |  PDF

Learning (from) Deep Hierarchical Structure among Features
Yu Zhang, Lei Han
Pages 5837-5844 |  PDF

Learning Uniform Semantic Features for Natural Language and Programming Language Globally, Locally and Sequentially
Yudong Zhang, Wenhao Zheng, Ming Li
Pages 5845-5852 |  PDF

SADIH: Semantic-Aware DIscrete Hashing
Zheng Zhang, Guo-sen Xie, Yang Li, Sheng Li, Zi Huang
Pages 5853-5860 |  PDF

Submodular Optimization over Streams with Inhomogeneous Decays
Junzhou Zhao, Shuo Shang, Pinghui Wang, John C.S. Lui, Xiangliang Zhang
Pages 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
Pages 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
Pages 5877-5884 |  PDF

InfoVAE: Balancing Learning and Inference in Variational Autoencoders
Shengjia Zhao, Jiaming Song, Stefano Ermon
Pages 5885-5892 |  PDF

Self-Adversarially Learned Bayesian Sampling
Yang Zhao, Jianyi Zhang, Changyou Chen
Pages 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
Pages 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
Pages 5909-5916 |  PDF

Understanding VAEs in Fisher-Shannon Plane
Huangjie Zheng, Jiangchao Yao, Ya Zhang, Ivor W. Tsang, Jia Wang
Pages 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
Pages 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
Pages 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
Pages 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
Pages 5949-5956 |  PDF

Communication-Optimal Distributed Dynamic Graph Clustering
Chun Jiang Zhu, Tan Zhu, Kam-Yiu Lam, Song Han, Jinbo Bi
Pages 5957-5964 |  PDF

A Domain Generalization Perspective on Listwise Context Modeling
Lin Zhu, Yihong Chen, Bowen He
Pages 5965-5972 |  PDF

DAN: Deep Attention Neural Network for News Recommendation
Qiannan Zhu, Xiaofei Zhou, Zeliang Song, Jianlong Tan, Li Guo
Pages 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
Pages 5981-5988 |  PDF

Aligning Domain-Specific Distribution and Classifier for Cross-Domain Classification from Multiple Sources
Yongchun Zhu, Fuzhen Zhuang, Deqing Wang
Pages 5989-5996 |  PDF

Consensus Adversarial Domain Adaptation
Han Zou, Yuxun Zhou, Jianfei Yang, Huihan Liu, Hari Prasanna Das, Costas J. Spanos
Pages 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
Pages 6006-6013 |  PDF

Bayesian Execution Skill Estimation
Christopher Archibald, Delma Nieves-Rivera
Pages 6014-6021 |  PDF

Consensus in Opinion Formation Processes in Fully Evolving Environments
Vincenzo Auletta, Angelo Fanelli, Diodato Ferraioli
Pages 6022-6029 |  PDF

An Abstraction-Based Method for Verifying Strategic Properties in Multi-Agent Systems with Imperfect Information
Francesco Belardinelli, Alessio Lomuscio, Vadim Malvone
Pages 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
Pages 6038-6045 |  PDF

Distributed Community Detection via Metastability of the 2-Choices Dynamics
Emilio Cruciani, Emanuele Natale, Giacomo Scornavacca
Pages 6046-6053 |  PDF

Successor Features Based Multi-Agent RL for Event-Based Decentralized MDPs
Tarun Gupta, Akshat Kumar, Praveen Paruchuri
Pages 6054-6061 |  PDF

IPOMDP-Net: A Deep Neural Network for Partially Observable Multi-Agent Planning Using Interactive POMDPs
Yanlin Han, Piotr Gmytrasiewicz
Pages 6062-6069 |  PDF

General Robustness Evaluation of Incentive Mechanism against Bounded Rationality Using Continuum-Armed Bandits
Zehong Hu, Jie Zhang, Zhao Li
Pages 6070-6078 |  PDF

Message-Dropout: An Efficient Training Method for Multi-Agent Deep Reinforcement Learning
Woojun Kim, Myungsik Cho, Youngchul Sung
Pages 6079-6086 |  PDF

Symmetry-Breaking Constraints for Grid-Based Multi-Agent Path Finding
Jiaoyang Li, Daniel Harabor, Peter J. Stuckey, Hang Ma, Sven Koenig
Pages 6087-6095 |  PDF

Multi-Agent Discussion Mechanism for Natural Language Generation
Xu Li, Mingming Sun, Ping Li
Pages 6096-6103 |  PDF

Large Scale Learning of Agent Rationality in Two-Player Zero-Sum Games
Chun Kai Ling, Fei Fang, J. Zico Kolter
Pages 6104-6111 |  PDF

Leveraging Observations in Bandits: Between Risks and Benefits
Andrei Lupu, Audrey Durand, Doina Precup
Pages 6112-6119 |  PDF

TrafficPredict: Trajectory Prediction for Heterogeneous Traffic-Agents
Yuexin Ma, Xinge Zhu, Sibo Zhang, Ruigang Yang, Wenping Wang, Dinesh Manocha
Pages 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
Pages 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
Pages 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
Pages 6146-6153 |  PDF

Multi-Winner Contests for Strategic Diffusion in Social Networks
Wen Shen, Yang Feng, Cristina V. Lopes
Pages 6154-6162 |  PDF

Theory of Minds: Understanding Behavior in Groups through Inverse Planning
Michael Shum, Max Kleiman-Weiner, Michael L. Littman, Joshua B. Tenenbaum
Pages 6163-6170 |  PDF

Multiagent Decision Making For Maritime Traffic Management
Arambam James Singh, Duc Thien Nguyen, Akshat Kumar, Hoong Chuin Lau
Pages 6171-6178 |  PDF

Probabilistic Alternating-Time µ-Calculus
Fu Song, Yedi Zhang, Taolue Chen, Yu Tang, Zhiwu Xu
Pages 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
Pages 6188-6195 |  PDF

Online Embedding Compression for Text Classification Using Low Rank Matrix Factorization
Anish Acharya, Rahul Goel, Angeliki Metallinou, Inderjit Dhillon
Pages 6196-6203 |  PDF

Antonym-Synonym Classification Based on New Sub-Space Embeddings
Muhammad Asif Ali, Yifang Sun, Xiaoling Zhou, Wei Wang, Xiang Zhao
Pages 6204-6211 |  PDF

AutoSense Model for Word Sense Induction
Reinald Kim Amplayo, Seung-won Hwang, Min Song
Pages 6212-6219 |  PDF

Re-Evaluating ADEM: A Deeper Look at Scoring Dialogue Responses
Ananya B. Sai, Mithun Das Gupta, Mitesh M. Khapra, Mukundhan Srinivasan
Pages 6220-6227 |  PDF

Automated Rule Base Completion as Bayesian Concept Induction
Zied Bouraoui, Steven Schockaert
Pages 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
Pages 6236-6243 |  PDF

Incorporating Structured Commonsense Knowledge in Story Completion
Jiaao Chen, Jianshu Chen, Zhou Yu
Pages 6244-6251 |  PDF

Deep Short Text Classification with Knowledge Powered Attention
Jindong Chen, Yizhou Hu, Jingping Liu, Yanghua Xiao, Haiyun Jiang
Pages 6252-6259 |  PDF

Transfer Learning for Sequence Labeling Using Source Model and Target Data
Lingzhen Chen, Alessandro Moschitti
Pages 6260-6267 |  PDF

Title-Guided Encoding for Keyphrase Generation
Wang Chen, Yifan Gao, Jiani Zhang, Irwin King, Michael R. Lyu
Pages 6268-6275 |  PDF

Convolutional Spatial Attention Model for Reading Comprehension with Multiple-Choice Questions
Zhipeng Chen, Yiming Cui, Wentao Ma, Shijin Wang, Guoping Hu
Pages 6276-6283 |  PDF

Implicit Argument Prediction as Reading Comprehension
Pengxiang Cheng, Katrin Erk
Pages 6284-6291 |  PDF

Recurrent Stacking of Layers for Compact Neural Machine Translation Models
Raj Dabre, Atsushi Fujita
Pages 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
Pages 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
Pages 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
Pages 6318-6325 |  PDF

Training Temporal Word Embeddings with a Compass
Valerio Di Carlo, Federico Bianchi, Matteo Palmonari
Pages 6326-6334 |  PDF

A Pattern-Based Approach to Recognizing Time Expressions
Wentao Ding, Guanji Gao, Linfeng Shi, Yuzhong Qu
Pages 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
Pages 6343-6350 |  PDF

Adapting Translation Models for Transcript Disfluency Detection
Qianqian Dong, Feng Wang, Zhen Yang, Wei Chen, Shuang Xu, Bo Xu
Pages 6351-6358 |  PDF

Explicit Interaction Model towards Text Classification
Cunxiao Du, Zhaozheng Chen, Fuli Feng, Lei Zhu, Tian Gan, Liqiang Nie
Pages 6359-6366 |  PDF

“Bilingual Expert” Can Find Translation Errors
Kai Fan, Jiayi Wang, Bo Li, Fengming Zhou, Boxing Chen, Luo Si
Pages 6367-6374 |  PDF

EA Reader: Enhance Attentive Reader for Cloze-Style Question Answering via Multi-Space Context Fusion
Chengzhen Fu, Yan Zhang
Pages 6375-6382 |  PDF

Generating Multiple Diverse Responses for Short-Text Conversation
Jun Gao, Wei Bi, Xiaojiang Liu, Junhui Li, Shuming Shi
Pages 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
Pages 6391-6398 |  PDF

Abstractive Text Summarization by Incorporating Reader Comments
Shen Gao, Xiuying Chen, Piji Li, Zhaochun Ren, Lidong Bing, Dongyan Zhao, Rui Yan
Pages 6399-6406 |  PDF

Hybrid Attention-Based Prototypical Networks for Noisy Few-Shot Relation Classification
Tianyu Gao, Xu Han, Zhiyuan Liu, Maosong Sun
Pages 6407-6414 |  PDF

Predicting and Analyzing Language Specificity in Social Media Posts
Yifan Gao, Yang Zhong, Daniel Preoţiuc-Pietro, Junyi Jessy Li
Pages 6415-6422 |  PDF

Generating Distractors for Reading Comprehension Questions from Real Examinations
Yifan Gao, Lidong Bing, Piji Li, Irwin King, Michael R. Lyu
Pages 6423-6430 |  PDF

Kernelized Hashcode Representations for Relation Extraction
Sahil Garg, Aram Galstyan, Greg Ver Steeg, Irina Rish, Guillermo Cecchi, Shuyang Gao
Pages 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
Pages 6441-6448 |  PDF

Sentence-Wise Smooth Regularization for Sequence to Sequence Learning
Chengyue Gong, Xu Tan, Di He, Tao Qin
Pages 6449-6456 |  PDF

Switch-LSTMs for Multi-Criteria Chinese Word Segmentation
Jingjing Gong, Xinchi Chen, Tao Gui, Xipeng Qiu
Pages 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
Pages 6465-6472 |  PDF

Story Ending Generation with Incremental Encoding and Commonsense Knowledge
Jian Guan, Yansen Wang, Minlie Huang
Pages 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
Pages 6481-6488 |  PDF

Gaussian Transformer: A Lightweight Approach for Natural Language Inference
Maosheng Guo, Yu Zhang, Ting Liu
Pages 6489-6496 |  PDF

GIRNet: Interleaved Multi-Task Recurrent State Sequence Models
Divam Gupta, Tanmoy Chakraborty, Soumen Chakrabarti
Pages 6497-6504 |  PDF

Document Informed Neural Autoregressive Topic Models with Distributional Prior
Pankaj Gupta, Yatin Chaudhary, Florian Buettner, Hinrich Schütze
Pages 6505-6512 |  PDF

Neural Relation Extraction within and across Sentence Boundaries
Pankaj Gupta, Subburam Rajaram, Hinrich Schütze, Thomas Runkler
Pages 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
Pages 6521-6528 |  PDF

Read + Verify: Machine Reading Comprehension with Unanswerable Questions
Minghao Hu, Furu Wei, Yuxing Peng, Zhen Huang, Nan Yang, Dongsheng Li
Pages 6529-6537 |  PDF

Recurrent Poisson Process Unit for Speech Recognition
Hengguan Huang, Hao Wang, Brian Mak
Pages 6538-6545 |  PDF

Dictionary-Guided Editing Networks for Paraphrase Generation
Shaohan Huang, Yu Wu, Furu Wei, Zhongzhi Luan
Pages 6546-6553 |  PDF

Unsupervised Controllable Text Formalization
Parag Jain, Abhijit Mishra, Amar Prakash Azad, Karthik Sankaranarayanan
Pages 6554-6561 |  PDF

Word Embedding as Maximum A Posteriori Estimation
Shoaib Jameel, Zihao Fu, Bei Shi, Wai Lam, Steven Schockaert
Pages 6562-6569 |  PDF

Understanding Actors and Evaluating Personae with Gaussian Embeddings
Hannah Kim, Denys Katerenchuk, Daniel Billet, Jun Huan, Haesun Park, Boyang Li
Pages 6570-6577 |  PDF

Predicting the Argumenthood of English Prepositional Phrases
Najoung Kim, Kyle Rawlins, Benjamin Van Durme, Paul Smolensky
Pages 6578-6585 |  PDF

Semantic Sentence Matching with Densely-Connected Recurrent and Co-Attentive Information
Seonhoon Kim, Inho Kang, Nojun Kwak
Pages 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
Pages 6594-6601 |  PDF

Improving Neural Question Generation Using Answer Separation
Yanghoon Kim, Hwanhee Lee, Joongbo Shin, Kyomin Jung
Pages 6602-6609 |  PDF

Domain Agnostic Real-Valued Specificity Prediction
Wei-Jen Ko, Greg Durrett, Junyi Jessy Li
Pages 6610-6617 |  PDF

Neural Machine Translation with Adequacy-Oriented Learning
Xiang Kong, Zhaopeng Tu, Shuming Shi, Eduard Hovy, Tong Zhang
Pages 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
Pages 6626-6633 |  PDF

Lattice CNNs for Matching Based Chinese Question Answering
Yuxuan Lai, Yansong Feng, Xiaohan Yu, Zheng Wang, Kun Xu, Dongyan Zhao
Pages 6634-6641 |  PDF

Zero-Shot Adaptive Transfer for Conversational Language Understanding
Sungjin Lee, Rahul Jha
Pages 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
Pages 6650-6657 |  PDF

Dependency Grammar Induction with a Neural Variational Transition-Based Parser
Bowen Li, Jianpeng Cheng, Yang Liu, Frank Keller
Pages 6658-6665 |  PDF

Knowledge-Driven Encode, Retrieve, Paraphrase for Medical Image Report Generation
Christy Y. Li, Xiaodan Liang, Zhiting Hu, Eric P. Xing
Pages 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
Pages 6674-6681 |  PDF

Differentiated Distribution Recovery for Neural Text Generation
Jianing Li, Yanyan Lan, Jiafeng Guo, Jun Xu, Xueqi Cheng
Pages 6682-6689 |  PDF

Towards Personalized Review Summarization via User-Aware Sequence Network
Junjie Li, Haoran Li, Chengqing Zong
Pages 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
Pages 6698-6705 |  PDF

Neural Speech Synthesis with Transformer Network
Naihan Li, Shujie Liu, Yanqing Liu, Sheng Zhao, Ming Liu
Pages 6706-6713 |  PDF

A Unified Model for Opinion Target Extraction and Target Sentiment Prediction
Xin Li, Lidong Bing, Piji Li, Wai Lam
Pages 6714-6721 |  PDF

Dialogue Generation: From Imitation Learning to Inverse Reinforcement Learning
Ziming Li, Julia Kiseleva, Maarten de Rijke
Pages 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
Pages 6730-6737 |  PDF

A Generalized Idiom Usage Recognition Model Based on Semantic Compatibility
Changsheng Liu, Rebecca Hwa
Pages 6738-6745 |  PDF

Leveraging Web Semantic Knowledge in Word Representation Learning
Haoyan Liu, Lei Fang, Jian-Guang Lou, Zhoujun Li
Pages 6746-6753 |  PDF

Exploiting the Ground-Truth: An Adversarial Imitation Based Knowledge Distillation Approach for Event Detection
Jian Liu, Yubo Chen, Kang Liu
Pages 6754-6761 |  PDF

Contextualized Non-Local Neural Networks for Sequence Learning
Pengfei Liu, Shuaichen Chang, Xuanjing Huang, Jian Tang, Jackie Chi Kit Cheung
Pages 6762-6769 |  PDF

FANDA: A Novel Approach to Perform Follow-Up Query Analysis
Qian Liu, Bei Chen, Jian-Guang Lou, Ge Jin, Dongmei Zhang
Pages 6770-6777 |  PDF

Unsupervised Post-Processing of Word Vectors via Conceptor Negation
Tianlin Liu, Lyle Ungar, João Sedoc
Pages 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
Pages 6786-6793 |  PDF

Learning Personalized End-to-End Goal-Oriented Dialog
Liangchen Luo, Wenhao Huang, Qi Zeng, Zaiqing Nie, Xu Sun
Pages 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
Pages 6802-6809 |  PDF

LiveBot: Generating Live Video Comments Based on Visual and Textual Contexts
Shuming Ma, Lei Cui, Damai Dai, Furu Wei, Xu Sun
Pages 6810-6817 |  PDF

DialogueRNN: An Attentive RNN for Emotion Detection in Conversations
Navonil Majumder, Soujanya Poria, Devamanyu Hazarika, Rada Mihalcea, Alexander Gelbukh, Erik Cambria
Pages 6818-6825 |  PDF

Weakly-Supervised Hierarchical Text Classification
Yu Meng, Jiaming Shen, Chao Zhang, Jiawei Han
Pages 6826-6833 |  PDF

CGMH: Constrained Sentence Generation by Metropolis-Hastings Sampling
Ning Miao, Hao Zhou, Lili Mou, Rui Yan, Lei Li
Pages 6834-6842 |  PDF

Spell Once, Summon Anywhere: A Two-Level Open-Vocabulary Language Model
Sabrina J. Mielke, Jason Eisner
Pages 6843-6850 |  PDF

One for All: Neural Joint Modeling of Entities and Events
Trung Minh Nguyen, Thien Huu Nguyen
Pages 6851-6858 |  PDF

Combining Fact Extraction and Verification with Neural Semantic Matching Networks
Yixin Nie, Haonan Chen, Mohit Bansal
Pages 6859-6866 |  PDF

Analyzing Compositionality-Sensitivity of NLI Models
Yixin Nie, Yicheng Wang, Mohit Bansal
Pages 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
Pages 6875-6882 |  PDF

Paraphrase Diversification Using Counterfactual Debiasing
Sunghyun Park, Seung-won Hwang, Fuxiang Chen, Jaegul Choo, Jung-Woo Ha, Sunghun Kim, Jinyeong Yim
Pages 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
Pages 6892-6899 |  PDF

Unseen Word Representation by Aligning Heterogeneous Lexical Semantic Spaces
Victor Prokhorov, Mohammad Taher Pilehvar, Dimitri Kartsaklis, Pietro Lio, Nigel Collier
Pages 6900-6907 |  PDF

Data-to-Text Generation with Content Selection and Planning
Ratish Puduppully, Li Dong, Mirella Lapata
Pages 6908-6915 |  PDF

Jointly Learning to Label Sentences and Tokens
Marek Rei, Anders Søgaard
Pages 6916-6923 |  PDF

Zero-Shot Neural Transfer for Cross-Lingual Entity Linking
Shruti Rijhwani, Jiateng Xie, Graham Neubig, Jaime Carbonell
Pages 6924-6931 |  PDF

COALA: A Neural Coverage-Based Approach for Long Answer Selection with Small Data
Andreas Rücklé, Nafise Sadat Moosavi, Iryna Gurevych
Pages 6932-6939 |  PDF

Revisiting LSTM Networks for Semi-Supervised Text Classification via Mixed Objective Function
Devendra Singh Sachan, Manzil Zaheer, Ruslan Salakhutdinov
Pages 6940-6948 |  PDF

A Hierarchical Multi-Task Approach for Learning Embeddings from Semantic Tasks
Victor Sanh, Thomas Wolf, Sebastian Ruder
Pages 6949-6956 |  PDF

On Resolving Ambiguous Anaphoric Expressions in Imperative Discourse
Vasanth Sarathy, Matthias Scheutz
Pages 6957-6964 |  PDF

Learning Semantic Representations for Novel Words: Leveraging Both Form and Context
Timo Schick, Hinrich Schütze
Pages 6965-6973 |  PDF

Challenges in the Automatic Analysis of Students’ Diagnostic Reasoning
Claudia Schulz, Christian M. Meyer, Iryna Gurevych
Pages 6974-6981 |  PDF

Analysis of Joint Multilingual Sentence Representations and Semantic K-Nearest Neighbor Graphs
Holger Schwenk, Douwe Kiela, Matthijs Douze
Pages 6982-6990 |  PDF

Learning to Embed Sentences Using Attentive Recursive Trees
Jiaxin Shi, Lei Hou, Juanzi Li, Zhiyuan Liu, Hanwang Zhang
Pages 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
Pages 6999-7006 |  PDF

A Deep Sequential Model for Discourse Parsing on Multi-Party Dialogues
Zhouxing Shi, Minlie Huang
Pages 7007-7014 |  PDF

GlobalTrait: Personality Alignment of Multilingual Word Embeddings
Farhad Bin Siddique, Dario Bertero, Pascale Fung
Pages 7015-7022 |  PDF

Exploring Knowledge Graphs in an Interpretable Composite Approach for Text Entailment
Vivian S. Silva, André Freitas, Siegfried Handschuh
Pages 7023-7030 |  PDF

Fast PMI-Based Word Embedding with Efficient Use of Unobserved Patterns
Behrouz Haji Soleimani, Stan Matwin
Pages 7031-7038 |  PDF

Distantly Supervised Entity Relation Extraction with Adapted Manual Annotations
Changzhi Sun, Yuanbin Wu
Pages 7039-7046 |  PDF

Towards Sentence-Level Brain Decoding with Distributed Representations
Jingyuan Sun, Shaonan Wang, Jiajun Zhang, Chengqing Zong
Pages 7047-7054 |  PDF

A Grammar-Based Structural CNN Decoder for Code Generation
Zeyu Sun, Qihao Zhu, Lili Mou, Yingfei Xiong, Ge Li, Lu Zhang
Pages 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
Pages 7063-7071 |  PDF

A Hierarchical Framework for Relation Extraction with Reinforcement Learning
Ryuichi Takanobu, Tianyang Zhang, Jiexi Liu, Minlie Huang
Pages 7072-7079 |  PDF

Jointly Extracting Multiple Triplets with Multilayer Translation Constraints
Zhen Tan, Xiang Zhao, Wei Wang, Weidong Xiao
Pages 7080-7087 |  PDF

Multi-Matching Network for Multiple Choice Reading Comprehension
Min Tang, Jiaran Cai, Hankz Hankui Zhuo
Pages 7088-7095 |  PDF

Generating Live Soccer-Match Commentary from Play Data
Yasufumi Taniguchi, Yukun Feng, Hiroya Takamura, Manabu Okumura
Pages 7096-7103 |  PDF

Near-Lossless Binarization of Word Embeddings
Julien Tissier, Christophe Gravier, Amaury Habrard
Pages 7104-7111 |  PDF

CompareLDA: A Topic Model for Document Comparison
Maksim Tkachenko, Hady W. Lauw
Pages 7112-7119 |  PDF

A Natural Language Corpus of Common Grounding under Continuous and Partially-Observable Context
Takuma Udagawa, Akiko Aizawa
Pages 7120-7127 |  PDF

Improving Hypernymy Prediction via Taxonomy Enhanced Adversarial Learning
Chengyu Wang, Xiaofeng He, Aoying Zhou
Pages 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
Pages 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
Pages 7144-7151 |  PDF

Logic Attention Based Neighborhood Aggregation for Inductive Knowledge Graph Embedding
Peifeng Wang, Jialong Han, Chenliang Li, Rong Pan
Pages 7152-7159 |  PDF

Chinese NER with Height-Limited Constituent Parsing
Rui Wang, Xin Xin, Wei Chang, Kun Ming, Biao Li, Xin Fan
Pages 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
Pages 7168-7175 |  PDF

A Task in a Suit and a Tie: Paraphrase Generation with Semantic Augmentation
Su Wang, Rahul Gupta, Nancy Chang, Jason Baldridge
Pages 7176-7183 |  PDF

Hierarchical Attention Networks for Sentence Ordering
Tianming Wang, Xiaojun Wan
Pages 7184-7191 |  PDF

Transferable Interactive Memory Network for Domain Adaptation in Fine-Grained Opinion Extraction
Wenya Wang, Sinno Jialin Pan
Pages 7192-7199 |  PDF

Unsupervised Learning Helps Supervised Neural Word Segmentation
Xiaobin Wang, Deng Cai, Linlin Li, Guangwei Xu, Hai Zhao, Luo Si
Pages 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
Pages 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
Pages 7216-7223 |  PDF

A Deep Reinforcement Learning Based Multi-Step Coarse to Fine Question Answering (MSCQA) System
Yu Wang, Hongxia Jin
Pages 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
Pages 7233-7240 |  PDF

Better Fine-Tuning via Instance Weighting for Text Classification
Zhi Wang, Wei Bi, Yan Wang, Xiaojiang Liu
Pages 7241-7248 |  PDF

A Topic-Aware Reinforced Model for Weakly Supervised Stance Detection
Penghui Wei, Wenji Mao, Guandan Chen
Pages 7249-7256 |  PDF

Translating with Bilingual Topic Knowledge for Neural Machine Translation
Xiangpeng Wei, Yue Hu, Luxi Xing, Yipeng Wang, Li Gao
Pages 7257-7264 |  PDF

Reverse-Engineering Satire, or “Paper on Computational Humor Accepted despite Making Serious Advances”
Robert West, Eric Horvitz
Pages 7265-7272 |  PDF

Improving Distantly Supervised Relation Extraction with Neural Noise Converter and Conditional Optimal Selector
Shanchan Wu, Kai Fan, Qiong Zhang
Pages 7273-7280 |  PDF

Response Generation by Context-Aware Prototype Editing
Yu Wu, Furu Wei, Shaohan Huang, Yunli Wang, Zhoujun Li, Ming Zhou
Pages 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
Pages 7289-7296 |  PDF

Graph Based Translation Memory for Neural Machine Translation
Mengzhou Xia, Guoping Huang, Lemao Liu, Shuming Shi
Pages 7297-7304 |  PDF

Syntax-Aware Neural Semantic Role Labeling
Qingrong Xia, Zhenghua Li, Min Zhang, Meishan Zhang, Guohong Fu, Rui Wang, Luo Si
Pages 7305-7313 |  PDF

Adaptive Region Embedding for Text Classification
Liuyu Xiang, Xiaoming Jin, Lan Yi, Guiguang Ding
Pages 7314-7321 |  PDF

Quantifying Uncertainties in Natural Language Processing Tasks
Yijun Xiao, William Yang Wang
Pages 7322-7329 |  PDF

Distributed Representation of Words in Cause and Effect Spaces
Zhipeng Xie, Feiteng Mu
Pages 7330-7337 |  PDF

Modeling Coherence for Discourse Neural Machine Translation
Hao Xiong, Zhongjun He, Hua Wu, Haifeng Wang
Pages 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
Pages 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
Pages 7354-7361 |  PDF

Exploring Human-Like Reading Strategy for Abstractive Text Summarization
Min Yang, Qiang Qu, Wenting Tu, Ying Shen, Zhou Zhao, Xiaojun Chen
Pages 7362-7369 |  PDF

Graph Convolutional Networks for Text Classification
Liang Yao, Chengsheng Mao, Yuan Luo
Pages 7370-7377 |  PDF

Plan-and-Write: Towards Better Automatic Storytelling
Lili Yao, Nanyun Peng, Ralph Weischedel, Kevin Knight, Dongyan Zhao, Rui Yan
Pages 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
Pages 7386-7393 |  PDF

TopicEq: A Joint Topic and Mathematical Equation Model for Scientific Texts
Michihiro Yasunaga, John D. Lafferty
Pages 7394-7401 |  PDF

Data Augmentation for Spoken Language Understanding via Joint Variational Generation
Kang Min Yoo, Youhyun Shin, Sang-goo Lee
Pages 7402-7409 |  PDF

Combining Axiom Injection and Knowledge Base Completion for Efficient Natural Language Inference
Masashi Yoshikawa, Koji Mineshima, Hiroshi Noji, Daisuke Bekki
Pages 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
Pages 7418-7425 |  PDF

Exploring Answer Stance Detection with Recurrent Conditional Attention
Jianhua Yuan, Yanyan Zhao, Jingfang Xu, Bing Qin
Pages 7426-7433 |  PDF

Bidirectional Transition-Based Dependency Parsing
Yunzhe Yuan, Yong Jiang, Kewei Tu
Pages 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
Pages 7442-7449 |  PDF

A Generalized Language Model in Tensor Space
Lipeng Zhang, Peng Zhang, Xindian Ma, Shuqin Gu, Zhan Su, Dawei Song
Pages 7450-7458 |  PDF

Generating Chinese Ci with Designated Metrical Structure
Richong Zhang, Xinyu Liu, Xinwei Chen, Zhiyuan Hu, Zhaoqing Xu, Yongyi Mao
Pages 7459-7467 |  PDF

A Neural Network Approach to Verb Phrase Ellipsis Resolution
Wei-Nan Zhang, Yue Zhang, Yuanxing Liu, Donglin Di, Ting Liu
Pages 7468-7475 |  PDF

Generating Character Descriptions for Automatic Summarization of Fiction
Weiwei Zhang, Jackie Chi Kit Cheung, Joel Oren
Pages 7476-7483 |  PDF

Multi-Labeled Relation Extraction with Attentive Capsule Network
Xinsong Zhang, Pengshuai Li, Weijia Jia, Hai Zhao
Pages 7484-7491 |  PDF

An Affect-Rich Neural Conversational Model with Biased Attention and Weighted Cross-Entropy Loss
Peixiang Zhong, Di Wang, Chunyan Miao
Pages 7492-7500 |  PDF

AAAI Technical Track: Planning, Routing, and Scheduling

Plan-Length Bounds: Beyond 1-Way Dependency
Mohammad Abdulaziz
Pages 7502-7510 |  PDF

Measurement Maximizing Adaptive Sampling with Risk Bounding Functions
Benjamin Ayton, Brian Williams, Richard Camilli
Pages 7511-7519 |  PDF

Bringing Order to Chaos – A Compact Representation of Partial Order in SAT-Based HTN Planning
Gregor Behnke, Daniel Höller, Susanne Biundo
Pages 7520-7529 |  PDF

Deep Reactive Policies for Planning in Stochastic Nonlinear Domains
Thiago P. Bueno, Leliane N. de Barros, Denis D. Mauá, Scott Sanner
Pages 7530-7537 |  PDF

Robustness Envelopes for Temporal Plans
Michael Cashmore, Alessandro Cimatti, Daniele Magazzeni, Andrea Micheli, Parisa Zehtabi
Pages 7538-7545 |  PDF

Improving Domain-Independent Planning via Critical Section Macro-Operators
Lukáš Chrpa, Mauro Vallati
Pages 7546-7553 |  PDF

Efficient Temporal Planning Using Metastates
Amanda Coles, Andrew Coles, J. Christopher Beck
Pages 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
Pages 7562-7569 |  PDF

Learning Resource Allocation and Pricing for Cloud Profit Maximization
Bingqian Du, Chuan Wu, Zhiyi Huang
Pages 7570-7577 |  PDF

Refining Abstraction Heuristics during Real-Time Planning
Rebecca Eifler, Maximilian Fickert, Jörg Hoffmann, Wheeler Ruml
Pages 7578-7585 |  PDF

Operator Mutexes and Symmetries for Simplifying Planning Tasks
Daniel Fišer, álvaro Torralba, Alexander Shleyfman
Pages 7586-7593 |  PDF

Solving Multiagent Planning Problems with Concurrent Conditional Effects
Daniel Furelos-Blanco, Anders Jonsson
Pages 7594-7601 |  PDF

Learning How to Ground a Plan – Partial Grounding in Classical Planning
Daniel Gnad, álvaro Torralba, Martín Domínguez, Carlos Areces, Facundo Bustos
Pages 7602-7609 |  PDF

Generalized Planning via Abstraction: Arbitrary Numbers of Objects
León Illanes, Sheila A. McIlraith
Pages 7610-7618 |  PDF

Red-Black Heuristics for Planning Tasks with Conditional Effects
Michael Katz
Pages 7619-7626 |  PDF

Multi-Agent Path Finding for Large Agents
Jiaoyang Li, Pavel Surynek, Ariel Felner, Hang Ma, T. K. Satish Kumar, Sven Koenig
Pages 7627-7634 |  PDF

Moral Permissibility of Action Plans
Felix Lindner, Robert Mattmüller, Bernhard Nebel
Pages 7635-7642 |  PDF

Searching with Consistent Prioritization for Multi-Agent Path Finding
Hang Ma, Daniel Harabor, Peter J. Stuckey, Jiaoyang Li, Sven Koenig
Pages 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
Pages 7651-7658 |  PDF

Performance Guarantees for Homomorphisms beyond Markov Decision Processes
Sultan Javed Majeed, Marcus Hutter
Pages 7659-7666 |  PDF

Sliding Window Temporal Graph Coloring
George B. Mertzios, Hendrik Molter, Viktor Zamaraev
Pages 7667-7674 |  PDF

Temporal Planning with Temporal Metric Trajectory Constraints
Andrea Micheli, Enrico Scala
Pages 7675-7682 |  PDF

Automated Verification of Social Laws for Continuous Time Multi-Robot Systems
Ronen Nir, Erez Karpas
Pages 7683-7690 |  PDF

Acting and Planning Using Operational Models
Sunandita Patra, Malik Ghallab, Dana Nau, Paolo Traverso
Pages 7691-7698 |  PDF

Distribution-Based Semi-Supervised Learning for Activity Recognition
Hangwei Qian, Sinno Jialin Pan, Chunyan Miao
Pages 7699-7706 |  PDF

An Innovative Genetic Algorithm for the Quantum Circuit Compilation Problem
Riccardo Rasconi, Angelo Oddi
Pages 7707-7714 |  PDF

Deep Learning for Cost-Optimal Planning: Task-Dependent Planner Selection
Silvan Sievers, Michael Katz, Shirin Sohrabi, Horst Samulowitz, Patrick Ferber
Pages 7715-7723 |  PDF

Rotational Diversity in Multi-Cycle Assignment Problems
Helge Spieker, Arnaud Gotlieb, Morten Mossige
Pages 7724-7731 |  PDF

Online Multi-Agent Pathfinding
Jiří švancara, Marek Vlk, Roni Stern, Dor Atzmon, Roman Barták
Pages 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
Pages 7741-7748 |  PDF

Machine Teaching for Inverse Reinforcement Learning: Algorithms and Applications
Daniel S. Brown, Scott Niekum
Pages 7749-7758 |  PDF

Robustness Guarantees for Bayesian Inference with Gaussian Processes
Luca Cardelli, Marta Kwiatkowska, Luca Laurenti, Andrea Patane
Pages 7759-7768 |  PDF

Probabilistic Logic Programming with Beta-Distributed Random Variables
Federico Cerutti, Lance Kaplan, Angelika Kimmig, Murat Şensoy
Pages 7769-7776 |  PDF

On Testing of Uniform Samplers
Sourav Chakraborty, Kuldeep S. Meel
Pages 7777-7784 |  PDF

On the Hardness of Probabilistic Inference Relaxations
Supratik Chakraborty, Kuldeep S. Meel, Moshe Y. Vardi
Pages 7785-7792 |  PDF

Learning Diverse Bayesian Networks
Cong Chen, Changhe Yuan
Pages 7793-7800 |  PDF

Path-Specific Counterfactual Fairness
Silvia Chiappa
Pages 7801-7808 |  PDF

Efficient Optimal Approximation of Discrete Random Variables for Estimation of Probabilities of Missing Deadlines
Liat Cohen, Gera Weiss
Pages 7809-7815 |  PDF

Fast Relational Probabilistic Inference and Learning: Approximate Counting via Hypergraphs
Mayukh Das, Devendra Singh Dhami, Gautam Kunapuli, Kristian Kersting, Sriraam Natarajan
Pages 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
Pages 7825-7833 |  PDF

Marginal Inference in Continuous Markov Random Fields Using Mixtures
Yuanzhen Guo, Hao Xiong, Nicholas Ruozzi
Pages 7834-7841 |  PDF

A Generative Model for Dynamic Networks with Applications
Shubham Gupta, Gaurav Sharma, Ambedkar Dukkipati
Pages 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
Pages 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
Pages 7858-7865 |  PDF

Polynomial-Time Probabilistic Reasoning with Partial Observations via Implicit Learning in Probability Logics
Brendan Juba
Pages 7866-7875 |  PDF

Randomized Strategies for Robust Combinatorial Optimization
Yasushi Kawase, Hanna Sumita
Pages 7876-7883 |  PDF

Dirichlet Multinomial Mixture with Variational Manifold Regularization: Topic Modeling over Short Texts
Ximing Li, Jiaojiao Zhang, Jihong Ouyang
Pages 7884-7891 |  PDF

Finding All Bayesian Network Structures within a Factor of Optimal
Zhenyu A. Liao, Charupriya Sharma, James Cussens, Peter van Beek
Pages 7892-7899 |  PDF

Interleave Variational Optimization with Monte Carlo Sampling: A Tale of Two Approximate Inference Paradigms
Qi Lou, Rina Dechter, Alexander Ihler
Pages 7900-7907 |  PDF

Robust Ordinal Embedding from Contaminated Relative Comparisons
Ke Ma, Qianqian Xu, Xiaochun Cao
Pages 7908-7915 |  PDF

On Lifted Inference Using Neural Embeddings
Mohammad Maminur Islam, Somdeb Sarkhel, Deepak Venugopal
Pages 7916-7923 |  PDF

Anytime Recursive Best-First Search for Bounding Marginal MAP
Radu Marinescu, Akihiro Kishimoto, Adi Botea, Rina Dechter, Alexander Ihler
Pages 7924-7932 |  PDF

Semi-Parametric Sampling for Stochastic Bandits with Many Arms
Mingdong Ou, Nan Li, Cheng Yang, Shenghuo Zhu, Rong Jin
Pages 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
Pages 7941-7948 |  PDF

Rethinking the Discount Factor in Reinforcement Learning: A Decision Theoretic Approach
Silviu Pitis
Pages 7949-7956 |  PDF

Structured Bayesian Networks: From Inference to Learning with Routes
Yujia Shen, Anchal Goyanka, Adnan Darwiche, Arthur Choi
Pages 7957-7965 |  PDF

Compiling Bayesian Network Classifiers into Decision Graphs
Andy Shih, Arthur Choi, Adnan Darwiche
Pages 7966-7974 |  PDF

Lifted Hinge-Loss Markov Random Fields
Sriram Srinivasan, Behrouz Babaki, Golnoosh Farnadi, Lise Getoor
Pages 7975-7983 |  PDF

Counting and Sampling Markov Equivalent Directed Acyclic Graphs
Topi Talvitie, Mikko Koivisto
Pages 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
Pages 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
Pages 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
Pages 8009-8016 |  PDF

Adversarial Actor-Critic Method for Task and Motion Planning Problems Using Planning Experience
Beomjoon Kim, Leslie Pack Kaelbling, Tomás Lozano-Pérez
Pages 8017-8024 |  PDF

Mirroring without Overimitation: Learning Functionally Equivalent Manipulation Actions
Hangxin Liu, Chi Zhang, Yixin Zhu, Chenfanfu Jiang, Song-Chun Zhu
Pages 8025-8033 |  PDF

Visual Place Recognition via Robustℓ2-Norm Distance Based Holism and Landmark Integration
Kai Liu, Hua Wang, Fei Han, Hao Zhang
Pages 8034-8041 |  PDF

Deictic Image Mapping: An Abstraction for Learning Pose Invariant Manipulation Policies
Robert Platt, Colin Kohler, Marcus Gualtieri
Pages 8042-8049 |  PDF

Personalized Robot Tutoring Using the Assistive Tutor POMDP (AT-POMDP)
Aditi Ramachandran, Sarah Strohkorb Sebo, Brian Scassellati
Pages 8050-8057 |  PDF

That’s Mine! Learning Ownership Relations and Norms for Robots
Zhi-Xuan Tan, Jake Brawer, Brian Scassellati
Pages 8058-8065 |  PDF

Probabilistic Model Checking of Robots Deployed in Extreme Environments
Xingyu Zhao, Valentin Robu, David Flynn, Fateme Dinmohammadi, Michael Fisher, Matt Webster
Pages 8066-8074 |  PDF

AAAI Technical Track: Vision

TallyQA: Answering Complex Counting Questions
Manoj Acharya, Kushal Kafle, Christopher Kanan
Pages 8076-8084 |  PDF

Densely Supervised Grasp Detector (DSGD)
Umar Asif, Jianbin Tang, Stefan Harrer
Pages 8085-8093 |  PDF

Object Detection Based on Region Decomposition and Assembly
Seung-Hwan Bae
Pages 8094-8101 |  PDF

BLOCK: Bilinear Superdiagonal Fusion for Visual Question Answering and Visual Relationship Detection
Hedi Ben-younes, Remi Cadene, Nicolas Thome, Matthieu Cord
Pages 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
Pages 8110-8117 |  PDF

Action Knowledge Transfer for Action Prediction with Partial Videos
Yijun Cai, Haoxin Li, Jian-Fang Hu, Wei-Shi Zheng
Pages 8118-8125 |  PDF

GaitSet: Regarding Gait as a Set for Cross-View Gait Recognition
Hanqing Chao, Yiwei He, Junping Zhang, Jianfeng Feng
Pages 8126-8133 |  PDF

Energy Confused Adversarial Metric Learning for Zero-Shot Image Retrieval and Clustering
Binghui Chen, Weihong Deng
Pages 8134-8141 |  PDF

Improving Image Captioning with Conditional Generative Adversarial Nets
Chen Chen, Shuai Mu, Wanpeng Xiao, Zexiong Ye, Liesi Wu, Qi Ju
Pages 8142-8150 |  PDF

Unsupervised Stylish Image Description Generation via Domain Layer Norm
Cheng-Kuan Chen, Zhufeng Pan, Ming-Yu Liu, Min Sun
Pages 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
Pages 8159-8166 |  PDF

Temporal Deformable Convolutional Encoder-Decoder Networks for Video Captioning
Jingwen Chen, Yingwei Pan, Yehao Li, Ting Yao, Hongyang Chao, Tao Mei
Pages 8167-8174 |  PDF

Localizing Natural Language in Videos
Jingyuan Chen, Lin Ma, Xinpeng Chen, Zequn Jie, Jiebo Luo
Pages 8175-8182 |  PDF

Similarity Preserving Deep Asymmetric Quantization for Image Retrieval
Junjie Chen, William K. Cheung
Pages 8183-8190 |  PDF

Motion Guided Spatial Attention for Video Captioning
Shaoxiang Chen, Yu-Gang Jiang
Pages 8191-8198 |  PDF

Semantic Proposal for Activity Localization in Videos via Sentence Query
Shaoxiang Chen, Yu-Gang Jiang
Pages 8199-8206 |  PDF

Unsupervised Bilingual Lexicon Induction from Mono-Lingual Multimodal Data
Shizhe Chen, Qin Jin, Alexander Hauptmann
Pages 8207-8214 |  PDF

Learning Resolution-Invariant Deep Representations for Person Re-Identification
Yun-Chun Chen, Yu-Jhe Li, Xiaofei Du, Yu-Chiang Frank Wang
Pages 8215-8222 |  PDF

Data Fine-Tuning
Saheb Chhabra, Puspita Majumdar, Mayank Vatsa, Richa Singh
Pages 8223-8230 |  PDF

Selective Refinement Network for High Performance Face Detection
Cheng Chi, Shifeng Zhang, Junliang Xing, Zhen Lei, Stan Z. Li, Xudong Zou
Pages 8231-8238 |  PDF

Residual Compensation Networks for Heterogeneous Face Recognition
Zhongying Deng, Xiaojiang Peng, Yu Qiao
Pages 8239-8246 |  PDF

Attention-Aware Sampling via Deep Reinforcement Learning for Action Recognition
Wenkai Dong, Zhaoxiang Zhang, Tieniu Tan
Pages 8247-8254 |  PDF

Learning a Deep Convolutional Network for Colorization in Monochrome-Color Dual-Lens System
Xuan Dong, Weixin Li, Xiaojie Wang, Yunhong Wang
Pages 8255-8262 |  PDF

Cubic LSTMs for Video Prediction
Hehe Fan, Linchao Zhu, Yi Yang
Pages 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
Pages 8271-8278 |  PDF

MeshNet: Mesh Neural Network for 3D Shape Representation
Yutong Feng, Yifan Feng, Haoxuan You, Xibin Zhao, Yue Gao
Pages 8279-8286 |  PDF

STA: Spatial-Temporal Attention for Large-Scale Video-Based Person Re-Identification
Yang Fu, Xiaoyang Wang, Yunchao Wei, Thomas Huang
Pages 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
Pages 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
Pages 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
Pages 8312-8319 |  PDF

Deliberate Attention Networks for Image Captioning
Lianli Gao, Kaixuan Fan, Jingkuan Song, Xianglong Liu, Xing Xu, Heng Tao Shen
Pages 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
Pages 8328-8335 |  PDF

No-Reference Image Quality Assessment with Reinforcement Recursive List-Wise Ranking
Jie Gu, Gaofeng Meng, Cheng Da, Shiming Xiang, Chunhong Pan
Pages 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
Pages 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
Pages 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
Pages 8360-8367 |  PDF

Depthwise Convolution Is All You Need for Learning Multiple Visual Domains
Yunhui Guo, Yandong Li, Liqiang Wang, Tajana Rosing
Pages 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
Pages 8376-8384 |  PDF

HSME: Hypersphere Manifold Embedding for Visible Thermal Person Re-Identification
Yi Hao, Nannan Wang, Jie Li, Xinbo Gao
Pages 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
Pages 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
Pages 8401-8408 |  PDF

Mono3D++: Monocular 3D Vehicle Detection with Two-Scale 3D Hypotheses and Task Priors
Tong He, Stefano Soatto
Pages 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
Pages 8417-8424 |  PDF

Weighted Channel Dropout for Regularization of Deep Convolutional Neural Network
Saihui Hou, Zilei Wang
Pages 8425-8432 |  PDF

Learning to Steer by Mimicking Features from Heterogeneous Auxiliary Networks
Yuenan Hou, Zheng Ma, Chunxiao Liu, Chen Change Loy
Pages 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
Pages 8441-8448 |  PDF

A Novel Framework for Robustness Analysis of Visual QA Models
Jia-Hong Huang, Cuong Duc Dao, Modar Alfadly, Bernard Ghanem
Pages 8449-8456 |  PDF

Re²EMA: Regularized and Reinitialized Exponential Moving Average for Target Model Update in Object Tracking
Jianglei Huang, Wengang Zhou
Pages 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
Pages 8465-8472 |  PDF

A Framework to Coordinate Segmentation and Recognition
Wei Huang, Huimin Yu, Weiwei Zheng, Jing Zhang
Pages 8473-8480 |  PDF

3D Volumetric Modeling with Introspective Neural Networks
Wenlong Huang, Brian Lai, Weijian Xu, Zhuowen Tu
Pages 8481-8488 |  PDF

Few-Shot Image and Sentence Matching via Gated Visual-Semantic Embedding
Yan Huang, Yang Long, Liang Wang
Pages 8489-8496 |  PDF

Attentive Temporal Pyramid Network for Dynamic Scene Classification
Yuanjun Huang, Xianbin Cao, Xiantong Zhen, Jungong Han
Pages 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
Pages 8505-8512 |  PDF

MLVCNN: Multi-Loop-View Convolutional Neural Network for 3D Shape Retrieval
Jianwen Jiang, Di Bao, Ziqiang Chen, Xibin Zhao, Yue Gao
Pages 8513-8520 |  PDF

Image Saliency Prediction in Transformed Domain: A Deep Complex Neural Network Method
Lai Jiang, Zhe Wang, Mai Xu, Zulin Wang
Pages 8521-8528 |  PDF

Video Object Detection with Locally-Weighted Deformable Neighbors
Zhengkai Jiang, Peng Gao, Chaoxu Guo, Qian Zhang, Shiming Xiang, Chunhong Pan
Pages 8529-8536 |  PDF

Discriminative Feature Learning for Unsupervised Video Summarization
Yunjae Jung, Donghyeon Cho, Dahun Kim, Sanghyun Woo, In So Kweon
Pages 8537-8544 |  PDF

Self-Supervised Video Representation Learning with Space-Time Cubic Puzzles
Dahun Kim, Donghyeon Cho, In So Kweon
Pages 8545-8552 |  PDF

BiHMP-GAN: Bidirectional 3D Human Motion Prediction GAN
Jogendra Nath Kundu, Maharshi Gor, R. Venkatesh Babu
Pages 8553-8560 |  PDF

Spatio-Temporal Graph Routing for Skeleton-Based Action Recognition
Bin Li, Xi Li, Zhongfei Zhang, Fei Wu
Pages 8561-8568 |  PDF

SuperVAE: Superpixelwise Variational Autoencoder for Salient Object Detection
Bo Li, Zhengxing Sun, Yuqi Guo
Pages 8569-8576 |  PDF

Gradient Harmonized Single-Stage Detector
Buyu Li, Yu Liu, Xiaogang Wang
Pages 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
Pages 8585-8593 |  PDF

Semantic Relationships Guided Representation Learning for Facial Action Unit Recognition
Guanbin Li, Xin Zhu, Yirui Zeng, Qing Wang, Liang Lin
Pages 8594-8601 |  PDF

Heterogeneous Transfer Learning via Deep Matrix Completion with Adversarial Kernel Embedding
Haoliang Li, Sinno Jialin Pan, Renjie Wan, Alex C. Kot
Pages 8602-8609 |  PDF

Show, Attend and Read: A Simple and Strong Baseline for Irregular Text Recognition
Hui Li, Peng Wang, Chunhua Shen, Guyu Zhang
Pages 8610-8617 |  PDF

Multi-Scale 3D Convolution Network for Video Based Person Re-Identification
Jianing Li, Shiliang Zhang, Tiejun Huang
Pages 8618-8625 |  PDF

Meta Learning for Image Captioning
Nannan Li, Zhenzhong Chen, Shan Liu
Pages 8626-8633 |  PDF

Visual-Semantic Graph Reasoning for Pedestrian Attribute Recognition
Qiaozhe Li, Xin Zhao, Ran He, Kaiqi Huang
Pages 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
Pages 8642-8649 |  PDF

Learning Object Context for Dense Captioning
Xiangyang Li, Shuqiang Jiang, Jungong Han
Pages 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
Pages 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
Pages 8666-8673 |  PDF

Temporal Bilinear Networks for Video Action Recognition
Yanghao Li, Sijie Song, Yuqi Li, Jiaying Liu
Pages 8674-8681 |  PDF

Angular Triplet-Center Loss for Multi-View 3D Shape Retrieval
Zhaoqun Li, Cheng Xu, Biao Leng
Pages 8682-8689 |  PDF

Zero-Shot Object Detection with Textual Descriptions
Zhihui Li, Lina Yao, Xiaoqin Zhang, Xianzhi Wang, Salil Kanhere, Huaxiang Zhang
Pages 8690-8697 |  PDF

PCGAN: Partition-Controlled Human Image Generation
Dong Liang, Rui Wang, Xiaowei Tian, Cong Zou
Pages 8698-8705 |  PDF

Unsupervised Cross-Spectral Stereo Matching by Learning to Synthesize
Mingyang Liang, Xiaoyang Guo, Hongsheng Li, Xiaogang Wang, You Song
Pages 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
Pages 8714-8721 |  PDF

Towards Optimal Discrete Online Hashing with Balanced Similarity
Mingbao Lin, Rongrong Ji, Hong Liu, Xiaoshuai Sun, Yongjian Wu, Yunsheng Wu
Pages 8722-8729 |  PDF

Hypergraph Optimization for Multi-Structural Geometric Model Fitting
Shuyuan Lin, Guobao Xiao, Yan Yan, David Suter, Hanzi Wang
Pages 8730-8737 |  PDF

A Bottom-Up Clustering Approach to Unsupervised Person Re-Identification
Yutian Lin, Xuanyi Dong, Liang Zheng, Yan Yan, Yi Yang
Pages 8738-8745 |  PDF

Learning Neural Bag-of-Matrix-Summarization with Riemannian Network
Hong Liu, Jie Li, Yongjian Wu, Rongrong Ji
Pages 8746-8753 |  PDF

Optimal Projection Guided Transfer Hashing for Image Retrieval
Ji Liu, Lei Zhang
Pages 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
Pages 8762-8769 |  PDF

DDFlow: Learning Optical Flow with Unlabeled Data Distillation
Pengpeng Liu, Irwin King, Michael R. Lyu, Jia Xu
Pages 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
Pages 8778-8785 |  PDF

Spatial and Temporal Mutual Promotion for Video-Based Person Re-Identification
Yiheng Liu, Zhenxun Yuan, Wengang Zhou, Houqiang Li
Pages 8786-8793 |  PDF

Deep Video Frame Interpolation Using Cyclic Frame Generation
Yu-Lun Liu, Yi-Tung Liao, Yen-Yu Lin, Yung-Yu Chuang
Pages 8794-8802 |  PDF

Detect or Track: Towards Cost-Effective Video Object Detection/Tracking
Hao Luo, Wenxuan Xie, Xinggang Wang, Wenjun Zeng
Pages 8803-8810 |  PDF

Recognizing Unseen Attribute-Object Pair with Generative Model
Zhixiong Nan, Yang Liu, Nanning Zheng, Song-Chun Zhu
Pages 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
Pages 8819-8826 |  PDF

Dual Semi-Supervised Learning for Facial Action Unit Recognition
Guozhu Peng, Shangfei Wang
Pages 8827-8834 |  PDF

Learning Attribute-Specific Representations for Visual Tracking
Yuankai Qi, Shengping Zhang, Weigang Zhang, Li Su, Qingming Huang, Ming-Hsuan Yang
Pages 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
Pages 8843-8850 |  PDF

MonoGRNet: A Geometric Reasoning Network for Monocular 3D Object Localization
Zengyi Qin, Jinglu Wang, Yan Lu
Pages 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
Pages 8859-8867 |  PDF

Almost Unsupervised Learning for Dense Crowd Counting
Deepak Babu Sam, Neeraj N Sajjan, Himanshu Maurya, R. Venkatesh Babu
Pages 8868-8875 |  PDF

KVQA: Knowledge-Aware Visual Question Answering
Sanket Shah, Anand Mishra, Naganand Yadati, Partha Pratim Talukdar
Pages 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
Pages 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
Pages 8893-8900 |  PDF

A Layer-Based Sequential Framework for Scene Generation with GANs
Mehmet Ozgur Turkoglu, William Thong, Luuk Spreeuwers, Berkay Kicanaoglu
Pages 8901-8908 |  PDF

Hierarchical Photo-Scene Encoder for Album Storytelling
Bairui Wang, Lin Ma, Wei Zhang, Wenhao Jiang, Feng Zhang
Pages 8909-8916 |  PDF

Robust Deep Co-Saliency Detection with Group Semantic
Chong Wang, Zheng-Jun Zha, Dong Liu, Hongtao Xie
Pages 8917-8924 |  PDF

Learning Basis Representation to Refine 3D Human Pose Estimations
Chunyu Wang, Haibo Qiu, Alan L. Yuille, Wenjun Zeng
Pages 8925-8932 |  PDF

Spatial-Temporal Person Re-Identification
Guangcong Wang, Jianhuang Lai, Peigen Huang, Xiaohua Xie
Pages 8933-8940 |  PDF

Deep Single-View 3D Object Reconstruction with Visual Hull Embedding
Hanqing Wang, Jiaolong Yang, Wei Liang, Xin Tong
Pages 8941-8948 |  PDF

MVPNet: Multi-View Point Regression Networks for 3D Object Reconstruction from A Single Image
Jinglu Wang, Bo Sun, Yan Lu
Pages 8949-8956 |  PDF

Hierarchical Attention Network for Image Captioning
Weixuan Wang, Zhihong Chen, Haifeng Hu
Pages 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
Pages 8965-8972 |  PDF

Sparse Adversarial Perturbations for Videos
Xingxing Wei, Jun Zhu, Sha Yuan, Hang Su
Pages 8973-8980 |  PDF

Learning Non-Uniform Hypergraph for Multi-Object Tracking
Longyin Wen, Dawei Du, Shengkun Li, Xiao Bian, Siwei Lyu
Pages 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
Pages 8989-8996 |  PDF

Differential Networks for Visual Question Answering
Chenfei Wu, Jinlai Liu, Xiaojie Wang, Ruifan Li
Pages 8997-9004 |  PDF

Disentangled Variational Representation for Heterogeneous Face Recognition
Xiang Wu, Huaibo Huang, Vishal M. Patel, Ran He, Zhenan Sun
Pages 9005-9012 |  PDF

Multiple Saliency and Channel Sensitivity Network for Aggregated Convolutional Feature
Xuanlu Xiang, Zhipeng Wang, Zhicheng Zhao, Fei Su
Pages 9013-9020 |  PDF

What and Where the Themes Dominate in Image
Xinyu Xiao, Lingfeng Wang, Shiming Xiang, Chunhong Pan
Pages 9021-9029 |  PDF

Semantic Adversarial Network with Multi-Scale Pyramid Attention for Video Classification
De Xie, Cheng Deng, Hao Wang, Chao Li, Dapeng Tao
Pages 9030-9037 |  PDF

Scene Text Detection with Supervised Pyramid Context Network
Enze Xie, Yuhang Zang, Shuai Shao, Gang Yu, Cong Yao, Guangyao Li
Pages 9038-9045 |  PDF

DeRPN: Taking a Further Step toward More General Object Detection
Lele Xie, Yuliang Liu, Lianwen Jin, Zecheng Xie
Pages 9046-9053 |  PDF

Residual Attribute Attention Network for Face Image Super-Resolution
Jingwei Xin, Nannan Wang, Xinbo Gao, Jie Li
Pages 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
Pages 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
Pages 9070-9078 |  PDF

A Dual Attention Network with Semantic Embedding for Few-Shot Learning
Shipeng Yan, Songyang Zhang, Xuming He
Pages 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
Pages 9087-9094 |  PDF

Learning a Visual Tracker from a Single Movie without Annotation
Lingxiao Yang, David Zhang, Lei Zhang
Pages 9095-9102 |  PDF

Safeguarded Dynamic Label Regression for Noisy Supervision
Jiangchao Yao, Hao Wu, Ya Zhang, Ivor W. Tsang, Jun Sun
Pages 9103-9110 |  PDF

Instance-Level Facial Attributes Transfer with Geometry-Aware Flow
Weidong Yin, Ziwei Liu, Chen Change Loy
Pages 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
Pages 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
Pages 9127-9134 |  PDF

Spatial Mixture Models with Learnable Deep Priors for Perceptual Grouping
Jinyang Yuan, Bin Li, Xiangyang Xue
Pages 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
Pages 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
Pages 9151-9158 |  PDF

To Find Where You Talk: Temporal Sentence Localization in Video with Attention Based Location Regression
Yitian Yuan, Tao Mei, Wenwu Zhu
Pages 9159-9166 |  PDF

Memory-Augmented Temporal Dynamic Learning for Action Recognition
Yuan Yuan, Dong Wang, Qi Wang
Pages 9167-9175 |  PDF

ACM: Adaptive Cross-Modal Graph Convolutional Neural Networks for RGB-D Scene Recognition
Yuan Yuan, Zhitong Xiong, Qi Wang
Pages 9176-9184 |  PDF

Large-Scale Visual Relationship Understanding
Ji Zhang, Yannis Kalantidis, Marcus Rohrbach, Manohar Paluri, Ahmed Elgammal, Mohamed Elhoseiny
Pages 9185-9194 |  PDF

Multi-Attribute Transfer via Disentangled Representation
Jianfu Zhang, Yuanyuan Huang, Yaoyi Li, Weijie Zhao, Liqing Zhang
Pages 9195-9202 |  PDF

Cousin Network Guided Sketch Recognition via Latent Attribute Warehouse
Kaihao Zhang, Wenhan Luo, Lin Ma, Hongdong Li
Pages 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
Pages 9211-9218 |  PDF

Learning to Localize Objects with Noisy Labeled Instances
Xiaopeng Zhang, Yang Yang, Jiashi Feng
Pages 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
Pages 9227-9234 |  PDF

Learning a Key-Value Memory Co-Attention Matching Network for Person Re-Identification
Yaqing Zhang, Xi Li, Zhongfei Zhang
Pages 9235-9242 |  PDF

Learning Incremental Triplet Margin for Person Re-Identification
Yingying Zhang, Qiaoyong Zhong, Liang Ma, Di Xie, Shiliang Pu
Pages 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
Pages 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
Pages 9259-9266 |  PDF

3D Object Detection Using Scale Invariant and Feature Reweighting Networks
Xin Zhao, Zhe Liu, Ruolan Hu, Kaiqi Huang
Pages 9267-9274 |  PDF

Recurrent Attention Model for Pedestrian Attribute Recognition
Xin Zhao, Liufang Sang, Guiguang Ding, Jungong Han, Na Di, Chenggang Yan
Pages 9275-9282 |  PDF

Learning Fully Dense Neural Networks for Image Semantic Segmentation
Mingmin Zhen, Jinglu Wang, Lei Zhou, Tian Fang, Long Quan
Pages 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
Pages 9291-9298 |  PDF

Talking Face Generation by Adversarially Disentangled Audio-Visual Representation
Hang Zhou, Yu Liu, Ziwei Liu, Ping Luo, Xiaogang Wang
Pages 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
Pages 9307-9315 |  PDF

Free VQA Models from Knowledge Inertia by Pairwise Inconformity Learning
Yiyi Zhou, Rongrong Ji, Jinsong Su, Xiangming Li, Xiaoshuai Sun
Pages 9316-9323 |  PDF

Dynamic Capsule Attention for Visual Question Answering
Yiyi Zhou, Rongrong Ji, Jinsong Su, Xiaoshuai Sun, Weiqiu Chen
Pages 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
Pages 9332-9339 |  PDF

Deep Embedding Features for Salient Object Detection
Yunzhi Zhuge, Yu Zeng, Huchuan Lu
Pages 9340-9347 |  PDF

Calibrated Stochastic Gradient Descent for Convolutional Neural Networks
Li’an Zhuo, Baochang Zhang, Chen Chen, Qixiang Ye, Jianzhuang Liu, David Doermann
Pages 9348-9355 |  PDF

Innovative Applications Papers

IAAI Technical Papers: Deployed Papers

A Genetic Algorithm for Finding a Small and Diverse Set of Recent News Stories on a Given Subject: How We Generate AAAI’s AI-Alert
Joshua Eckroth, Eric Schoen
Pages 9357-9364 |  PDF

Large Scale Personalized Categorization of Financial Transactions
Christopher Lesner, Alexander Ran, Marko Rukonic, Wei Wang
Pages 9365-9372 |  PDF

Transforming Underwriting in the Life Insurance Industry
Marc Maier, Hayley Carlotto, Freddie Sanchez, Sherriff Balogun, Sears Merritt
Pages 9373-9380 |  PDF

Automated Dispatch of Helpdesk Email Tickets: Pushing the Limits with AI
Atri Mandal, Nikhil Malhotra, Shivali Agarwal, Anupama Ray, Giriprasad Sridhara
Pages 9381-9388 |  PDF

Grading Uncompilable Programs
Rohit Takhar, Varun Aggarwal
Pages 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
Pages 9398-9403 |  PDF

Linking Educational Resources on Data Science
José Luis Ambite, Jonathan Gordon, Lily Fierro, Gully Burns, Joel Mathew
Pages 9404-9409 |  PDF

Early-Stopping of Scattering Pattern Observation with Bayesian Modeling
Akinori Asahara, Hidekazu Morita, Chiharu Mitsumata, Kanta Ono, Masao Yano, Tetsuya Shoji
Pages 9410-9415 |  PDF

Querying NoSQL with Deep Learning to Answer Natural Language Questions
Sebastian Blank, Florian Wilhelm, Hans-Peter Zorn, Achim Rettinger
Pages 9416-9421 |  PDF

Probabilistic-Logic Bots for Efficient Evaluation of Business Rules Using Conversational Interfaces
Joseph Bockhorst, Devin Conathan, Glenn M Fung
Pages 9422-9427 |  PDF

Anomaly Detection Using Autoencoders in High Performance Computing Systems
Andrea Borghesi, Andrea Bartolini, Michele Lombardi, Michela Milano, Luca Benini
Pages 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
Pages 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
Pages 9440-9445 |  PDF

DeBGUer: A Tool for Bug Prediction and Diagnosis
Amir Elmishali, Roni Stern, Meir Kalech
Pages 9446-9451 |  PDF

Satellite Detection of Moving Vessels in Marine Environments
Natalie Fridman, Doron Amir, Yinon Douchan, Noa Agmon
Pages 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
Pages 9460-9465 |  PDF

Logistic Regression on Homomorphic Encrypted Data at Scale
Kyoohyung Han, Seungwan Hong, Jung Hee Cheon, Daejun Park
Pages 9466-9471 |  PDF

A Machine Learning Suite for Machine Components’ Health-Monitoring
Ramin Hasani, Guodong Wang, Radu Grosu
Pages 9472-9477 |  PDF

Leveraging Textual Specifications for Grammar-Based Fuzzing of Network Protocols
Samuel Jero, Maria Leonor Pacheco, Dan Goldwasser, Cristina Nita-Rotaru
Pages 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
Pages 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
Pages 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
Pages 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
Pages 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
Pages 9510-9515 |  PDF

Building Trust in Deep Learning System towards Automated Disease Detection
Zhan Wei Lim, Mong Li Lee, Wynne Hsu, Tien Yin Wong
Pages 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
Pages 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
Pages 9528-9533 |  PDF

Context-Tree Recommendation vs Matrix-Factorization: Algorithm Selection and Live Users Evaluation
Stéphane Martin, Boi Faltings, Vincent Schickel
Pages 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
Pages 9541-9546 |  PDF

Tagging Address Queries in Maps Search
Shekoofeh Mokhtari, Ahmad Mahmoody, Dragomir Yankov, Ning Xie
Pages 9547-9551 |  PDF

Identifying Semantics in Clinical Reports Using Neural Machine Translation
Srikanth Mujjiga, Vamsi Krishna, Kalyan Chakravarthi, Vijayananda J
Pages 9552-9557 |  PDF

Artificial Counselor System for Stock Investment
Hadi NekoeiQachkanloo, Benyamin Ghojogh, Ali Saheb Pasand, Mark Crowley
Pages 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
Pages 9565-9572 |  PDF

Discovering Temporal Patterns from Insurance Interaction Data
Maleeha Qazi, Srinivas Tunuguntla, Peng Lee, Teja Kanchinadam, Glenn Fung, Neeraj Arora
Pages 9573-9580 |  PDF

Enhancing Evolutionary Conversion Rate Optimization via Multi-Armed Bandit Algorithms
Xin Qiu, Risto Miikkulainen
Pages 9581-9588 |  PDF

Inferring Concept Prerequisite Relations from Online Educational Resources
Sudeshna Roy, Meghana Madhyastha, Sheril Lawrence, Vaibhav Rajan
Pages 9589-9594 |  PDF

Forecasting Intra-Hour Imbalances in Electric Power Systems
Tárik S. Salem, Karan Kathuria, Heri Ramampiaro, Helge Langseth
Pages 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
Pages 9601-9606 |  PDF

DEFSI: Deep Learning Based Epidemic Forecasting with Synthetic Information
Lijing Wang, Jiangzhuo Chen, Madhav Marathe
Pages 9607-9612 |  PDF

Early Detection of Vacant Parking Spaces Using Dashcam Videos
Ming-Che Wu, Mei-Chen Yeh
Pages 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
Pages 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
Pages 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
Pages 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
Pages 9644-9647 |  PDF

Computational Intractability and Solvability for the Birds of a Feather Game
Richard Hoshino, Max Notarangelo
Pages 9648-9655 |  PDF

Machine Learning Based Heuristic Search Algorithms to Solve Birds of a Feather Card Game
Bryon Kucharski, Azad Deihim, Mehmet Ergezer
Pages 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
Pages 9662-9669 |  PDF

An Integrative Framework for Artificial Intelligence Education
Pat Langley
Pages 9670-9677 |  PDF

Concept Extraction and Prerequisite Relation Learning from Educational Data
Weiming Lu, Yangfan Zhou, Jiale Yu, Chenhao Jia
Pages 9678-9685 |  PDF

Efficient Solving of Birds of a Feather Puzzles
Todd W. Neller, Connor Berson, Jivan Kharel, Ryan Smolik
Pages 9686-9692 |  PDF

Computer Generation of Birds of a Feather Puzzles
Todd W. Neller, Daniel Ziegler
Pages 9693-9699 |  PDF

A Monte Carlo Tree Search Player for Birds of a Feather Solitaire
Christian Roberson, Katarina Sperduto
Pages 9700-9705 |  PDF

A Neural Network Approach for Birds of a Feather Solvability Prediction
Benjamin Sang, Sejong Yoon
Pages 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
Pages 9713-9720 |  PDF

Automating Analysis and Feedback to Improve Mathematics Teachers’ Classroom Discourse
Abhijit Suresh, Tamara Sumner, Jennifer Jacobs, Bill Foland, Wayne Ward
Pages 9721-9728 |  PDF

PopBots: Designing an Artificial Intelligence Curriculum for Early Childhood Education
Randi Williams, Hae Won Park, Lauren Oh, Cynthia Breazeal
Pages 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
Pages 9737-9744 |  PDF

EAAI Symposium Papers: Poster Papers

Artificial Intelligence Competencies for Data Science Undergraduate Curricula
Andrea Danyluk, Scott Buck
Pages 9746-9747 |  PDF

Predicting Unsolvable Deals in the Birds of a Feather Solitaire Game
Richard Hoshino, Maximilian Kahn
Pages 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
Pages 9751-9753 |  PDF

Senior Member Presentation Track Papers: Blue Sky Papers

Designing Preferences, Beliefs, and Identities for Artificial Intelligence
Vincent Conitzer
Pages 9755-9759 |  PDF

Towards Fluid Machine Intelligence: Can We Make a Gifted AI?
Ian Davidson, Peter B. Walker
Pages 9760-9764 |  PDF

Relating the Structure of a Problem and Its Explanation
Eugene C. Freuder
Pages 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
Pages 9770-9774 |  PDF

Explainable, Normative, and Justified Agency
Pat Langley
Pages 9775-9779 |  PDF

Meaningful Explanations of Black Box AI Decision Systems
Dino Pedreschi, Fosca Giannotti, Riccardo Guidotti, Anna Monreale, Salvatore Ruggieri, Franco Turini
Pages 9780-9784 |  PDF

Building Ethically Bounded AI
Francesca Rossi, Nicholas Mattei
Pages 9785-9789 |  PDF

Recommender Systems: A Healthy Obsession
Barry Smyth
Pages 9790-9794 |  PDF

Envisioning AI for K-12: What Should Every Child Know about AI?
David Touretzky, Christina Gardner-McCune, Fred Martin, Deborah Seehorn
Pages 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
Pages 9801-9807 |  PDF

Performance Evaluation in Machine Learning: The Good, the Bad, the Ugly, and the Way Forward
Peter Flach
Pages 9808-9814 |  PDF

Abstractive Summarization: A Survey of the State of the Art
Hui Lin, Vincent Ng
Pages 9815-9822 |  PDF

Is Everything Going According to Plan? Expectations in Goal Reasoning Agents
Héctor Muñoz-Avila, Dustin Dannenhauer, Noah Reifsnyder
Pages 9823-9829 |  PDF

Borda Count in Collective Decision Making: A Summary of Recent Results
Jörg Rothe
Pages 9830-9836 |  PDF

Machine Learning with Crowdsourcing: A Brief Summary of the Past Research and Future Directions
Victor S. Sheng, Jing Zhang
Pages 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
Pages 9845-9846 |  PDF

Proppy: A System to Unmask Propaganda in Online News
Alberto Barrón-Cedeño, Giovanni Da San Martino, Israa Jaradat, Preslav Nakov
Pages 9847-9848 |  PDF

MAi: An Intelligent Model Acquisition Interface for Interactive Specification of Dialogue Agents
Tathagata Chakraborti, Christian Muise, Shubham Agarwal, Luis A. Lastras
Pages 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
Pages 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
Pages 9853-9854 |  PDF

Academic Reader: An Interactive Question Answering System on Academic Literatures
Yining Hong, Jialu Wang, Yuting Jia, Weinan Zhang, Xinbing Wang
Pages 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
Pages 9857-9858 |  PDF

Scientific Article Search System Based on Discourse Facet Representation
Yuta Kobayashi, Hiroyuki Shindo, Yuji Matsumoto
Pages 9859-9860 |  PDF

QADiver: Interactive Framework for Diagnosing QA Models
Gyeongbok Lee, Sungdong Kim, Seung-won Hwang
Pages 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
Pages 9863-9864 |  PDF

Realtime Generation of Audible Textures Inspired by a Video Stream
Simone Mellace, Jérôme Guzzi, Alessandro Giusti, Luca M. Gambardella
Pages 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
Pages 9867-9868 |  PDF

DBA: Dynamic Multi-Armed Bandit Algorithm
Sadegh Nobari
Pages 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
Pages 9871-9872 |  PDF

K3S: Knowledge-Driven Solution Support System
Yu Zhang, Morteza Saberi, Min Wang, Elizabeth Chang
Pages 9873-9874 |  PDF

Doctoral Consortium Track Abstracts

A Theory of State Abstraction for Reinforcement Learning
David Abel
Pages 9876-9877 |  PDF

Multi-Agent Coordination under Uncertain Communication
Nikhil Bhargava
Pages 9878-9879 |  PDF

Adaptive Planning with Evidence Based Prediction for Improved Fluency in Routine Human-Robot Collaborative Tasks
Christopher K. Fourie
Pages 9880-9881 |  PDF

Expressive Real-Time Intersection Scheduling
Rick Goldstein
Pages 9882-9883 |  PDF

Reinforcement Learning for Improved Low Resource Dialogue Generation
Ana V. González-Garduño
Pages 9884-9885 |  PDF

Counterfactual Reasoning in Observational Studies
Negar Hassanpour
Pages 9886-9887 |  PDF

Using Automated Agents to Teach Negotiation
Emmanuel Johnson
Pages 9888-9889 |  PDF

Learning Generalized Temporal Abstractions across Both Action and Perception
Khimya Khetarpal
Pages 9890-9891 |  PDF

Multi-View Learning from Disparate Sources for Poverty Mapping
Neeti Pokhriyal
Pages 9892-9893 |  PDF

Numerical Optimization to AI, and Back
Sathya N. Ravi
Pages 9894-9895 |  PDF

Adaptive Modeling for Risk-Aware Decision Making
Sandhya Saisubramanian
Pages 9896-9897 |  PDF

Parameterized Heuristics for Incomplete Weighted CSPs
Atena M. Tabakhi
Pages 9898-9899 |  PDF

Imitation Learning from Observation
Faraz Torabi
Pages 9900-9901 |  PDF

Verifiable and Interpretable Reinforcement Learning through Program Synthesis
Abhinav Verma
Pages 9902-9903 |  PDF

Stochastic Goal Recognition Design
Christabel Wayllace
Pages 9904-9905 |  PDF

Attention Guided Imitation Learning and Reinforcement Learning
Ruohan Zhang
Pages 9906-9907 |  PDF

Student Abstracts

CommNets: Communicating Neural Network Architectures for Resource Constrained Systems
Prince M Abudu
Pages 9909-9910 |  PDF

Identifying Android Malware Using Network-Based Approaches
Emily Alfs, Doina Caragea, Nathan Albin, Pietro Poggi-Corradini
Pages 9911-9912 |  PDF

Learning Flexible Latent Representations via Encapsulated Variational Encoders
Wenjun Bai, Changqin Quan, Zhi-Wei Luo
Pages 9913-9914 |  PDF

An SVM-Based Framework for Long-Term Learning Systems
Diana Benavides-Prado
Pages 9915-9916 |  PDF

Partners in Crime: Manipulating the Deferred Acceptance Algorithm through an Accomplice
Theodora Bendlin, Hadi Hosseini
Pages 9917-9918 |  PDF

Building Human-Machine Trust via Interpretability
Umang Bhatt, Pradeep Ravikumar, José M. F. Moura
Pages 9919-9920 |  PDF

Matroid Constrained Fair Allocation Problem
Arpita Biswas, Siddharth Barman
Pages 9921-9922 |  PDF

An Imperfect Algorithm for Coalition Structure Generation
Narayan Changder, Samir Aknine, Animesh Dutta
Pages 9923-9924 |  PDF

Robust Principal Component Analysis-Based Infrared Small Target Detection
Qiwei Chen, Cheng Wu, Yiming Wang
Pages 9925-9926 |  PDF

WAIS: Word Attention for Joint Intent Detection and Slot Filling
Sixuan Chen, Shuai Yu
Pages 9927-9928 |  PDF

T-Center: A Novel Discriminative Feature Extraction Approach for Iris Recognition
Yifeng Chen, Cheng Wu, Yiming Wang
Pages 9929-9930 |  PDF

Type Sequence Preserving Heterogeneous Information Network Embedding
Yuxin Chen, Tengjiao Wang, Wei Chen, Qiang Li, Zhen Qiu
Pages 9931-9932 |  PDF

CSEye: A Proposed Solution for Accurate and Accessible One-to-Many Face Verification
Ameer Dharamshi, Rosie Yuyan Zou
Pages 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
Pages 9935-9936 |  PDF

A Meta-Learning Approach for Custom Model Training
Amir Erfan Eshratifar, Mohammad Saeed Abrishami, David Eigen, Massoud Pedram
Pages 9937-9938 |  PDF

Reinforcement Learning under Threats
Victor Gallego, Roi Naveiro, David Rios Insua
Pages 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
Pages 9941-9942 |  PDF

WSD-GAN: Word Sense Disambiguation Using Generative Adversarial Networks
Zijian Hu, Fuli Luo, Yutong Tan, Wenxin Zeng, Zhifang Sui
Pages 9943-9944 |  PDF

Higher-Order Multi-Layer Community Detection
Ling Huang, Chang-Dong Wang, Hong-Yang Chao
Pages 9945-9946 |  PDF

AVS-Net: Automatic Visual Surveillance Using Relation Network
Sein Jang, Young-Ho Park, Aziz Nasridinov
Pages 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
Pages 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
Pages 9951-9952 |  PDF

A Dynamic Bayesian Network Based Merge Mechanism for Autonomous Vehicles
Kherroubi Zine el Abidine, Aknine Samir, Bacha Rebiha
Pages 9953-9954 |  PDF

Learning Options with Interest Functions
Khimya Khetarpal, Doina Precup
Pages 9955-9956 |  PDF

Variational BEJG Solvers for Marginal-MAP Inference with Accurate Approximation of B-Conditional Entropy
Igor Kiselev
Pages 9957-9958 |  PDF

SAX Breakpoints for Random Forest Based Real-Time Contrast Control Chart
In-Seok Lee, Jun-Geol Baek
Pages 9959-9960 |  PDF

Comparing Sample-Wise Learnability across Deep Neural Network Models
Seung-Geon Lee, Jaedeok Kim, Hyun-Joo Jung, Yoonsuck Choe
Pages 9961-9962 |  PDF

Video-Based Sentiment Analysis with hvnLBP-TOP Feature and bi-LSTM
Haoran Li, Hua Xu
Pages 9963-9964 |  PDF

Cross-Domain Recommendation via Coupled Factorization Machines
Lile Li, Quan Do, Wei Liu
Pages 9965-9966 |  PDF

Efficient Neutrino Oscillation Parameter Inference with Gaussian Process
Lingge Li, Nitish Nayak, Jianming Bian, Pierre Baldi
Pages 9967-9968 |  PDF

A Fuzzy Set Based Approach for Rating Bias
Mingming Li, Jiao Dai, Fuqing Zhu, Liangjun Zang, Songlin Hu, Jizhong Han
Pages 9969-9970 |  PDF

Meta-Path Augmented Response Generation
Yanran Li, Wenjie Li
Pages 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
Pages 9973-9974 |  PDF

Location-Based End-to-End Speech Recognition with Multiple Language Models
Zhijie Lin, Kaiyang Lin, Shiling Chen, Linlin Li, Zhou Zhao
Pages 9975-9976 |  PDF

Loss-Balanced Task Weighting to Reduce Negative Transfer in Multi-Task Learning
Shengchao Liu, Yingyu Liang, Anthony Gitter
Pages 9977-9978 |  PDF

Deep Reinforcement Learning via Past-Success Directed Exploration
Xiaoming Liu, Zhixiong Xu, Lei Cao, Xiliang Chen, Kai Kang
Pages 9979-9980 |  PDF

Jointly Multiple Hash Learning
Xingbo Liu, Xiushan Nie, Yingxin Wang, Yilong Yin
Pages 9981-9982 |  PDF

Ethically Aligned Mobilization of Community Effort to Reposition Shared Bikes
Zelei Liu, Han Yu, Leye Wang, Liang Hu, Qiang Yang
Pages 9983-9984 |  PDF

Towards to Reasonable Decision Basis in Automatic Bone X-Ray Image Classification: A Weakly-Supervised Approach
Jianjie Lu, Kai-yu Tong
Pages 9985-9986 |  PDF

A Multi-Task Learning Framework for Abstractive Text Summarization
Yao Lu, Linqing Liu, Zhile Jiang, Min Yang, Randy Goebel
Pages 9987-9988 |  PDF

The Level Weighted Structural Similarity Loss: A Step Away from MSE
Yingjing Lu
Pages 9989-9990 |  PDF

Adaptive Optimization Framework for Control of Multi-Agent Systems
Anna Lukina
Pages 9991-9992 |  PDF

Learning Document Embeddings with Crossword Prediction
Junyu Luo, Min Yang, Ying Shen, Qiang Qu, Haixia Chai
Pages 9993-9994 |  PDF

Logic-Based Sequential Decision-Making
Daoming Lyu, Fangkai Yang, Bo Liu, Daesub Yoon
Pages 9995-9996 |  PDF

On the Role of Syntactic Graph Convolutions for Identifying and Classifying Argument Components
Gaku Morio, Katsuhide Fujita
Pages 9997-9998 |  PDF

Frontier Search and Plan Reconstruction in Oversubscription Planning
Daniel Muller
Pages 9999-10000 |  PDF

An Improved Hierarchical Datastructure for Nearest Neighbor Search
Mengdie Nie, Zhi-Jie Wang, Chunjing Gan, Zhe Quan, Bin Yao, Jian Yin
Pages 10001-10002 |  PDF

Regularizing Fully Convolutional Networks for Time Series Classification by Decorrelating Filters
Kaushal Paneri, Vishnu TV, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff
Pages 10003-10004 |  PDF

A Feasibility Test on Preventing PRMDs Based on Deep Learning
So-Hyun Park, Sun-Young Ihm, Aziz Nasridinov, Young-Ho Park
Pages 10005-10006 |  PDF

Strategic Tasks for Explainable Reinforcement Learning
Rey Pocius, Lawrence Neal, Alan Fern
Pages 10007-10008 |  PDF

Learning Representations in Model-Free Hierarchical Reinforcement Learning
Jacob Rafati, David C. Noelle
Pages 10009-10010 |  PDF

EWGAN: Entropy-Based Wasserstein GAN for Imbalanced Learning
Jinfu Ren, Yang Liu, Jiming Liu
Pages 10011-10012 |  PDF

Emergency Department Online Patient-Caregiver Scheduling
Hanan Rosemarin, Ariel Rosenfeld, Sarit Kraus
Pages 10013-10014 |  PDF

Learning to Transfer Relational Representations through Analogy
Gaetano Rossiello, Alfio Gliozzo, Michael Glass
Pages 10015-10016 |  PDF

Towards Better Accuracy and Robustness with Localized Adversarial Training
Eitan Rothberg, Tingting Chen, Hao Ji
Pages 10017-10018 |  PDF

Hierarchical Deep Feature Learning for Decoding Imagined Speech from EEG
Pramit Saha, Sidney Fels
Pages 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
Pages 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
Pages 10023-10024 |  PDF

A Whole New Ball Game: Harvesting Game Data for Player Profiling
Ivan Samborskii, Aleksandr Farseev, Andrey Filchenkov, Tat-Seng Chua
Pages 10025-10026 |  PDF

Towards Task Understanding in Visual Settings
Sebastin Santy, Wazeer Zulfikar, Rishabh Mehrotra, Emine Yilmaz
Pages 10027-10028 |  PDF

Examining Political Trustworthiness through Text-Based Measures of Ideology
Eitan Sapiro-Gheiler
Pages 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
Pages 10031-10032 |  PDF

MIGAN: Malware Image Synthesis Using GANs
Abhishek Singh, Debojyoti Dutta, Amit Saha
Pages 10033-10034 |  PDF

Desiderata for Interpretability: Explaining Decision Tree Predictions with Counterfactuals
Kacper Sokol, Peter Flach
Pages 10035-10036 |  PDF

Towards Sequence-to-Sequence Reinforcement Learning for Constraint Solving with Constraint-Based Local Search
Helge Spieker
Pages 10037-10038 |  PDF

Identifying Bottlenecks in Practical SAT-Based Model Finding for First-Order Logic Ontologies with Datasets
Shirly Stephen, Torsten Hahmann
Pages 10039-10040 |  PDF

An Adaptive Framework for Conversational Question Answering
Lixin Su, Jiafeng Guo, Yixing Fan, Yanyan Lan, Ruqing Zhang, Xueqi Cheng
Pages 10041-10042 |  PDF

Symmetrization for Embedding Directed Graphs
Jiankai Sun, Srinivasan Parthasarathy
Pages 10043-10044 |  PDF

Parameterized Heuristics for Incomplete Weighted CSPs
Atena M. Tabakhi
Pages 10045-10046 |  PDF

Semi-Supervised Learning for Electron Microscopy Image Segmentation
Eichi Takaya, Yusuke Takeichi, Mamiko Ozaki, Satoshi Kurihara
Pages 10047-10048 |  PDF

An Optimal Rewiring Strategy for Cooperative Multiagent Social Learning
Hongyao Tang, Jianye Hao, Li Wang, Tim Baarslag, Zan Wang
Pages 10049-10050 |  PDF

Binary Classifier Inspired by Quantum Theory
Prayag Tiwari, Massimo Melucci
Pages 10051-10052 |  PDF

MaMiC: Macro and Micro Curriculum for Robotic Reinforcement Learning
Manan Tomar, Akhil Sathuluri, Balaraman Ravindran
Pages 10053-10054 |  PDF

Robust Facial Landmark Localization Based on Two-Stage Cascaded Pose Regression
Ziye Tong, Junwei Zhou, Yanchao Yang, Lee-Ming Cheng
Pages 10055-10056 |  PDF

Dynamically Identifying Deep Multimodal Features for Image Privacy Prediction
Ashwini Tonge, Cornelia Caragea
Pages 10057-10058 |  PDF

Transductive Zero-Shot Learning via Visual Center Adaptation
Ziyu Wan, Yan Li, Min Yang, Junge Zhang
Pages 10059-10060 |  PDF

Heterogeneous Attributed Network Embedding with Graph Convolutional Networks
Yueyang Wang, Ziheng Duan, Binbing Liao, Fei Wu, Yueting Zhuang
Pages 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
Pages 10063-10064 |  PDF

DSINE: Deep Structural Influence Learning via Network Embedding
Jianjun Wu, Ying Sha, Bo Jiang, Jianlong Tan
Pages 10065-10066 |  PDF

Incorporating Context-Relevant Knowledge into Convolutional Neural Networks for Short Text Classification
Jingyun Xu, Yi Cai
Pages 10067-10068 |  PDF

Towards Gene Function Prediction via Multi-Networks Representation Learning
Hansheng Xue, Jiajie Peng, Xuequn Shang
Pages 10069-10070 |  PDF

Manifold Distance-Based Over-Sampling Technique for Class Imbalance Learning
Lingkai Yang, Yinan Guo, Jian Cheng
Pages 10071-10072 |  PDF

APRP: An Anonymous Propagation Method in Bitcoin Network
Yuhang Yao, Xiao Zeng, Tianyue Cao, Luoyi Fu, Xinbing Wang
Pages 10073-10074 |  PDF

Sequence to Sequence Learning for Query Expansion
Salah Zaiem, Fatiha Sadat
Pages 10075-10076 |  PDF

Adversarial Framing for Image and Video Classification
Michał Zajac, Konrad Zołna, Negar Rostamzadeh, Pedro O. Pinheiro
Pages 10077-10078 |  PDF

Computing Argumentative Explanations in Bipolar Argumentation Frameworks
Zhiwei Zeng, Chunyan Miao, Cyril Leung, Zhiqi Shen, Jing Jih Chin
Pages 10079-10080 |  PDF

Geometric Multi-Model Fitting by Deep Reinforcement Learning
Zongliang Zhang, Hongbin Zeng, Jonathan Li, Yiping Chen, Chenhui Yang, Cheng Wang
Pages 10081-10082 |  PDF

Semi-Supervised Feature Selection with Adaptive Discriminant Analysis
Weichan Zhong, Xiaojun Chen, Guowen Yuan, Yiqin Li, Feiping Nie
Pages 10083-10084 |  PDF

Adaptation Strategies for Applying AWGN-Based Denoiser to Realistic Noise
Yuqian Zhou, Jianbo Jiao, Haibin Huang, Jue Wang, Thomas Huang
Pages 10085-10086 |  PDF

Classifier-Agnostic Saliency Map Extraction
Konrad Zołna, Krzysztof J. Geras, Kyunghyun Cho
Pages 10087-10088 |  PDF