Proceedings of the Twenty-Eigth International Joint Conference on Artificial Intelligence

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence

Macao, 10-16 August 2019

Edited by Sarit Kraus

Sponsored by
International Joint Conferences on Artifical Intelligence (IJCAI)

Published by
International Joint Conferences on Artificial Intelligence

Copyright © 2019 International Joint Conferences on Artificial Intelligence
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.

IJCAI Secretary-Treasurer: Prof. Dr. Bernhard Nebel, Computer Science Department, Albert-Ludwigs-Universitaet Freiburg, Georges-Koehler-Allee, Geb. 052 D-79110 Freiburg, Germany

IJCAI Executive Secretary Ms. Vesna Sabljakovic-Fritz, Vienna University of Technology, Institute of Discrete Mathematics and Geometry, E104 Wiedner Hauptstr. 8-10, A-1040 Vienna, Austria

ISBN (Online): 978-0-9992411-4-1


Donwnload preface here.


Main track

Agent-based and Multi-agent Systems
Flexible Representative Democracy: An Introduction with Binary Issues
Ben Abramowitz, Nicholas Mattei
Portioning Using Ordinal Preferences: Fairness and Efficiency
Stéphane Airiau, Haris Aziz, Ioannis Caragiannis, Justin Kruger, Jérôme Lang, Dominik Peters
An Efficient Algorithm for Skeptical Preferred Acceptance in Dynamic Argumentation Frameworks
Gianvincenzo Alfano, Sergio Greco, Francesco Parisi
Strategic Signaling for Selling Information Goods
Shani Alkoby, David Sarne, Igal Milchtaich
Probabilistic Strategy Logic
Benjamin Aminof, Marta Kwiatkowska, Bastien Maubert, Aniello Murano, Sasha Rubin
Multi-Agent Pathfinding with Continuous Time
Anton Andreychuk, Konstantin Yakovlev, Dor Atzmon, Roni Stern
Weighted Maxmin Fair Share Allocation of Indivisible Chores
Haris Aziz, Hau Chan, Bo Li
Fair Allocation of Indivisible Goods and Chores
Haris Aziz, Ioannis Caragiannis, Ayumi Igarashi, Toby Walsh
Strategyproof and Approximately Maxmin Fair Share Allocation of Chores
Haris Aziz, Bo Li, Xiaowei Wu
Stable and Envy-free Partitions in Hedonic Games
Nathanaël Barrot, Makoto Yokoo
How Hard Is the Manipulative Design of Scoring Systems?
Dorothea Baumeister, Tobias Hogrebe
The Price of Fairness for Indivisible Goods
Xiaohui Bei, Xinhang Lu, Pasin Manurangsi, Warut Suksompong
Strategy Logic with Simple Goals: Tractable Reasoning about Strategies
Francesco Belardinelli, Wojciech Jamroga, Damian Kurpiewski, Vadim Malvone, Aniello Murano
Fairness Towards Groups of Agents in the Allocation of Indivisible Items
Nawal Benabbou, Mithun Chakraborty, Edith Elkind, Yair Zick
Optimality and Nash Stability in Additive Separable Generalized Group Activity Selection Problems
Vittorio Bilò, Angelo Fanelli, Michele Flammini, Gianpiero Monaco, Luca Moscardelli
An Experimental View on Committees Providing Justified Representation
Robert Bredereck, Piotr Faliszewski, Andrzej Kaczmarczyk, Rolf Niedermeier
A Contribution to the Critique of Liquid Democracy
Ioannis Caragiannis, Evi Micha
Be a Leader or Become a Follower: The Strategy to Commit to with Multiple Leaders
Matteo Castiglioni, Alberto Marchesi, Nicola Gatti
On the Problem of Assigning PhD Grants
Katarína Cechlárová, Laurent Gourvès, Julien Lesca
Maximin-Aware Allocations of Indivisible Goods
Hau Chan, Jing Chen, Bo Li, Xiaowei Wu
Reachability and Coverage Planning for Connected Agents
Tristan Charrier, Arthur Queffelec, Ocan Sankur, François Schwarzentruber
Approximately Maximizing the Broker's Profit in a Two-sided Market
Jing Chen, Bo Li, Yingkai Li
Election with Bribe-Effect Uncertainty: A Dichotomy Result
Lin Chen, Lei Xu, Shouhuai Xu, Zhimin Gao, Weidong Shi
Dispatching Through Pricing: Modeling Ride-Sharing and Designing Dynamic Prices
Mengjing Chen, Weiran Shen, Pingzhong Tang, Song Zuo
ATSIS: Achieving the Ad hoc Teamwork by Sub-task Inference and Selection
Shuo Chen, Ewa Andrejczuk, Athirai A. Irissappane, Jie Zhang
Network Formation under Random Attack and Probabilistic Spread
Yu Chen, Shahin Jabbari, Michael Kearns, Sanjeev Khanna, Jamie Morgenstern
Cap-and-Trade Emissions Regulation: A Strategic Analysis
Frank Cheng, Yagil Engel, Michael P. Wellman
A Value-based Trust Assessment Model for Multi-agent Systems
Kinzang Chhogyal, Abhaya Nayak, Aditya Ghose, Hoa K. Dam
Exploiting Social Influence to Control Elections Based on Scoring Rules
Federico Corò, Emilio Cruciani, Gianlorenzo D'Angelo, Stefano Ponziani
Civic Crowdfunding for Agents with Negative Valuations and Agents with Asymmetric Beliefs
Sankarshan Damle, Moin Hussain Moti, Praphul Chandra, Sujit Gujar
Anytime Heuristic for Weighted Matching Through Altruism-Inspired Behavior
Panayiotis Danassis, Aris Filos-Ratsikas, Boi Faltings
AsymDPOP: Complete Inference for Asymmetric Distributed Constraint Optimization Problems
Yanchen Deng, Ziyu Chen, Dingding Chen, Wenxin Zhang, Xingqiong Jiang
Preferred Deals in General Environments
Yuan Deng, Sébastien Lahaie, Vahab Mirrokni
A Parameterized Perspective on Protecting Elections
Palash Dey, Neeldhara Misra, Swaprava Nath, Garima Shakya
Spotting Collective Behaviour of Online Frauds in Customer Reviews
Sarthika Dhawan, Siva Charan Reddy Gangireddy, Shiv Kumar, Tanmoy Chakraborty
Equilibrium Characterization for Data Acquisition Games
Jinshuo Dong, Hadi Elzayn, Shahin Jabbari, Michael Kearns, Zachary Schutzman
Protecting Elections by Recounting Ballots
Edith Elkind, Jiarui Gan, Svetlana Obraztsova, Zinovi Rabinovich, Alexandros A. Voudouris
Schelling Games on Graphs
Edith Elkind, Jiarui Gan, Ayumi Igarashi, Warut Suksompong, Alexandros A. Voudouris
Reallocating Multiple Facilities on the Line
Dimitris Fotakis, Loukas Kavouras, Panagiotis Kostopanagiotis, Philip Lazos, Stratis Skoulakis, Nikos Zarifis
Equitable Allocations of Indivisible Goods
Rupert Freeman, Sujoy Sikdar, Rohit Vaish, Lirong Xia
Average-case Analysis of the Assignment Problem with Independent Preferences
Yansong Gao, Jie Zhang
Improving Nash Social Welfare Approximations
Jugal Garg, Peter McGlaughlin
On the Efficiency and Equilibria of Rich Ads
MohammadAmin Ghiasi, MohammadTaghi Hajiaghayi, Sébastien Lahaie, Hadi Yami
Identifying vulnerabilities in trust and reputation systems
Taha D. Güneş, Long Tran-Thanh, Timothy J. Norman
An Asymptotically Optimal VCG Redistribution Mechanism for the Public Project Problem
Mingyu Guo
On Succinct Encodings for the Tournament Fixing Problem
Sushmita Gupta, Saket Saurabh, Ramanujan Sridharan, Meirav Zehavi
On Computational Tractability for Rational Verification
Julian Gutierrez, Muhammad Najib, Giuseppe Perelli, Michael Wooldridge
Swarm Engineering Through Quantitative Measurement of Swarm Robotic Principles in a 10,000 Robot Swarm
John Harwell, Maria Gini
Achieving a Fairer Future by Changing the Past
Jiafan He, Ariel D. Procaccia, Alexandros Psomas, David Zeng
Compact Representation of Value Function in Partially Observable Stochastic Games
Karel Horák, Branislav Bošanský, Christopher Kiekintveld, Charles Kamhoua
Explicitly Coordinated Policy Iteration
Yujing Hu, Yingfeng Chen, Changjie Fan, Jianye Hao
Robustness against Agent Failure in Hedonic Games
Ayumi Igarashi, Kazunori Ota, Yuko Sakurai, Makoto Yokoo
The Interplay of Emotions and Norms in Multiagent Systems
Anup K. Kalia, Nirav Ajmeri, Kevin S. Chan, Jin-Hee Cho, Sibel Adalı, Munindar P. Singh
An Ordinal Banzhaf Index for Social Ranking
Hossein Khani, Stefano Moretti, Meltem Öztürk
Multigoal Committee Selection
Maciej Kocot, Anna Kolonko, Edith Elkind, Piotr Faliszewski, Nimrod Talmon
Neural Networks for Predicting Human Interactions in Repeated Games
Yoav Kolumbus, Gali Noti
Almost Envy-Freeness in Group Resource Allocation
Maria Kyropoulou, Warut Suksompong, Alexandros A. Voudouris
A Quantitative Analysis of Multi-Winner Rules
Martin Lackner, Piotr Skowron
Correlating Preferences and Attributes: Nearly Single-Crossing Profiles
Foram Lakhani, Dominik Peters, Edith Elkind
Automated Negotiation with Gaussian Process-based Utility Models
Haralambie Leahu, Michael Kaisers, Tim Baarslag
Temporal Information Design in Contests
Priel Levy, David Sarne, Yonatan Aumann
Diffusion and Auction on Graphs
Bin Li, Dong Hao, Dengji Zhao, Makoto Yokoo
Improved Heuristics for Multi-Agent Path Finding with Conflict-Based Search
Jiaoyang Li, Ariel Felner, Eli Boyarski, Hang Ma, Sven Koenig
Integrating Decision Sharing with Prediction in Decentralized Planning for Multi-Agent Coordination under Uncertainty
Minglong Li, Wenjing Yang, Zhongxuan Cai, Shaowu Yang, Ji Wang
Value Function Transfer for Deep Multi-Agent Reinforcement Learning Based on N-Step Returns
Yong Liu, Yujing Hu, Yang Gao, Yingfeng Chen, Changjie Fan
Computing Approximate Equilibria in Sequential Adversarial Games by Exploitability Descent
Edward Lockhart, Marc Lanctot, Julien Pérolat, Jean-Baptiste Lespiau, Dustin Morrill, Finbarr TImbers, Karl Tuyls
Computational Aspects of Equilibria in Discrete Preference Games
Phani Raj Lolakapuri, Umang Bhaskar, Ramasuri Narayanam, Gyana R Parija, Pankaj S Dayama
Multi-Robot Planning Under Uncertain Travel Times and Safety Constraints
Masoumeh Mansouri, Bruno Lacerda, Nick Hawes, Federico Pecora
Leadership in Congestion Games: Multiple User Classes and Non-Singleton Actions
Alberto Marchesi, Matteo Castiglioni, Nicola Gatti
Graphical One-Sided Markets
Sagar Massand, Sunil Simon
Reachability Games in Dynamic Epistemic Logic
Bastien Maubert, Sophie Pinchinat, François Schwarzentruber
FaRM: Fair Reward Mechanism for Information Aggregation in Spontaneous Localized Settings
Moin Hussain Moti, Dimitris Chatzopoulos, Pan Hui, Sujit Gujar
Learning Swarm Behaviors using Grammatical Evolution and Behavior Trees
Aadesh Neupane, Michael Goodrich
A Probabilistic Logic for Resource-Bounded Multi-Agent Systems
Hoang Nga Nguyen, Abdur Rakib
Imitative Attacker Deception in Stackelberg Security Games
Thanh Nguyen, Haifeng Xu
Priority Inheritance with Backtracking for Iterative Multi-agent Path Finding
Keisuke Okumura, Manao Machida, Xavier Défago, Yasumasa Tamura
Approval-Based Elections and Distortion of Voting Rules
Grzegorz Pierczyński, Piotr Skowron
Ad Hoc Teamwork With Behavior Switching Agents
Manish Ravula, Shani Alkoby, Peter Stone
Ridesharing with Driver Location Preferences
Duncan Rheingans-Yoo, Scott Duke Kominers, Hongyao Ma, David C. Parkes
Multi-Population Congestion Games With Incomplete Information
Charlotte Roman, Paolo Turrini
Sybil-Resilient Reality-Aware Social Choice
Gal Shahaf, Ehud Shapiro, Nimrod Talmon
Preferences Single-Peaked on a Tree: Sampling and Tree Recognition
Jakub Sliwinski, Edith Elkind
Model-Free Model Reconciliation
Sarath Sreedharan, Alberto Olmo Hernandez, Aditya Prasad Mishra, Subbarao Kambhampati
Aggregating Incomplete Pairwise Preferences by Weight
Zoi Terzopoulou, Ulle Endriss
A Regularized Opponent Model with Maximum Entropy Objective
Zheng Tian, Ying Wen, Zhichen Gong, Faiz Punakkath, Shihao Zou, Jun Wang
Exploring the Task Cooperation in Multi-goal Visual Navigation
Yuechen Wu, Zhenhuan Rao, Wei Zhang, Shijian Lu, Weizhi Lu, Zheng-Jun Zha
On Strategyproof Conference Peer Review
Yichong Xu, Han Zhao, Xiaofei Shi, Nihar B. Shah
Towards Efficient Detection and Optimal Response against Sophisticated Opponents
Tianpei Yang, Jianye Hao, Zhaopeng Meng, Chongjie Zhang, Yan Zheng, Ze Zheng
Large-Scale Home Energy Management Using Entropy-Based Collective Multiagent Deep Reinforcement Learning Framework
Yaodong Yang, Jianye Hao, Yan Zheng, Chao Yu
Complexity of Manipulating and Controlling Approval-Based Multiwinner Voting
Yongjie Yang
On the Tree Representations of Dichotomous Preferences
Yongjie Yang
The Price of Governance: A Middle Ground Solution to Coordination in Organizational Control
Chao Yu, Guozhen Tan
Decentralized Optimization with Edge Sampling
Chi Zhang, Qianxiao Li, Peilin Zhao
Explore Truthful Incentives for Tasks with Heterogenous Levels of Difficulty in the Sharing Economy
Pengzhan Zhou, Xin Wei, Cong Wang, Yuanyuan Yang
Computer Vision
CoSegNet: Image Co-segmentation using a Conditional Siamese Convolutional Network
Sayan Banerjee, Avik Hati, Subhasis Chaudhuri, Rajbabu Velmurugan
Multi-Margin based Decorrelation Learning for Heterogeneous Face Recognition
Bing Cao, Nannan Wang, Xinbo Gao, Jie Li, Zhifeng Li
Generalized Zero-Shot Vehicle Detection in Remote Sensing Imagery via Coarse-to-Fine Framework
Hong Chen, Yongtan Luo, Liujuan Cao, Baochang Zhang, Guodong Guo, Cheng Wang, Jonathan Li, Rongrong Ji
Structure-Aware Residual Pyramid Network for Monocular Depth Estimation
Xiaotian Chen, Xuejin Chen, Zheng-Jun Zha
A Deep Bi-directional Attention Network for Human Motion Recovery
Qiongjie Cui, Huaijiang Sun, Yupeng Li, Yue Kong
On Retrospecting Human Dynamics with Attention
Minjing Dong, Chang Xu
Learning to Draw Text in Natural Images with Conditional Adversarial Networks
Shancheng Fang, Hongtao Xie, Jianjun Chen, Jianlong Tan, Yongdong Zhang
Beyond Product Quantization: Deep Progressive Quantization for Image Retrieval
Lianli Gao, Xiaosu Zhu, Jingkuan Song, Zhou Zhao, Heng Tao Shen
ANODE: Unconditionally Accurate Memory-Efficient Gradients for Neural ODEs
Amir Gholaminejad, Kurt Keutzer, George Biros
Asynchronous Stochastic Frank-Wolfe Algorithms for Non-Convex Optimization
Bin Gu, Wenhan Xian, Heng Huang
Dense Temporal Convolution Network for Sign Language Translation
Dan Guo, Shuo Wang, Qi Tian, Meng Wang
Connectionist Temporal Modeling of Video and Language: a Joint Model for Translation and Sign Labeling
Dan Guo, Shengeng Tang, Meng Wang
3DViewGraph: Learning Global Features for 3D Shapes from A Graph of Unordered Views with Attention
Zhizhong Han, Xiyang Wang, Chi Man Vong, Yu-Shen Liu, Matthias Zwicker, C. L. Philip Chen
Parts4Feature: Learning 3D Global Features from Generally Semantic Parts in Multiple Views
Zhizhong Han, Xinhai Liu, Yu-Shen Liu, Matthias Zwicker
MAT-Net: Medial Axis Transform Network for 3D Object Recognition
Jianwei Hu, Bin Wang, Lihui Qian, Yiling Pan, Xiaohu Guo, Lingjie Liu, Wenping Wang
Dynamic Feature Fusion for Semantic Edge Detection
Yuan Hu, Yunpeng Chen, Xiang Li, Jiashi Feng
Multi-Level Visual-Semantic Alignments with Relation-Wise Dual Attention Network for Image and Text Matching
Zhibin Hu, Yongsheng Luo, Jiong Lin, Yan Yan, Jian Chen
Learning Unsupervised Visual Grounding Through Semantic Self-Supervision
Syed Ashar Javed, Shreyas Saxena, Vineet Gandhi
Supervised Set-to-Set Hashing in Visual Recognition
I-Hong Jhuo
Generative Image Inpainting with Submanifold Alignment
Ang Li, Jianzhong Qi, Rui Zhang, Xingjun Ma, Kotagiri Ramamohanarao
Detecting Robust Co-Saliency with Recurrent Co-Attention Neural Network
Bo Li, Zhengxing Sun, Lv Tang, Yunhan Sun, Jinlong Shi
Variation Generalized Feature Learning via Intra-view Variation Adaptation
Jiawei Li, Mang Ye, Andy Jinhua Ma, Pong C Yuen
Pedestrian Attribute Recognition by Joint Visual-semantic Reasoning and Knowledge Distillation
Qiaozhe Li, Xin Zhao, Ran He, Kaiqi Huang
Rethinking Loss Design for Large-scale 3D Shape Retrieval
Zhaoqun Li, Cheng Xu, Biao Leng
Attribute-Aware Convolutional Neural Networks for Facial Beauty Prediction
Luojun Lin, Lingyu Liang, Lianwen Jin, Weijie Chen
Rectified Binary Convolutional Networks for Enhancing the Performance of 1-bit DCNNs
Chunlei Liu, Wenrui Ding, Xin Xia, Yuan Hu, Baochang Zhang, Jianzhuang Liu, Bohan Zhuang, Guodong Guo
Nuclei Segmentation via a Deep Panoptic Model with Semantic Feature Fusion
Dongnan Liu, Donghao Zhang, Yang Song, Chaoyi Zhang, Fan Zhang, Lauren O'Donnell, Weidong Cai
Densely Connected Attention Flow for Visual Question Answering
Fei Liu, Jing Liu, Zhiwei Fang, Richang Hong, Hanqing Lu
Unsupervised Learning of Scene Flow Estimation Fusing with Local Rigidity
Liang Liu, Guangyao Zhai, Wenlong Ye, Yong Liu
Resolution-invariant Person Re-Identification
Shunan Mao, Shiliang Zhang, Ming Yang
Low Shot Box Correction for Weakly Supervised Object Detection
Tianxiang Pan, Bin Wang, Guiguang Ding, Jungong Han, Junhai Yong
DBDNet: Learning Bi-directional Dynamics for Early Action Prediction
Guoliang Pang, Xionghui Wang, Jian-Fang Hu, Qing Zhang, Wei-Shi Zheng
Deep Light-field-driven Saliency Detection from a Single View
Yongri Piao, Zhengkun Rong, Miao Zhang, Xiao Li, Huchuan Lu
Deep Recurrent Quantization for Generating Sequential Binary Codes
Jingkuan Song, Xiaosu Zhu, Lianli Gao, Xin-Shun Xu, Wu Liu, Heng Tao Shen
Talking Face Generation by Conditional Recurrent Adversarial Network
Yang Song, Jingwen Zhu, Dawei Li, Andy Wang, Hairong Qi
Hallucinating Optical Flow Features for Video Classification
Yongyi Tang, Lin Ma, Lianqiang Zhou
Color-Sensitive Person Re-Identification
Guan'an Wang, Yang Yang, Jian Cheng, Jinqiao Wang, Zengguang Hou
Convolutional Auto-encoding of Sentence Topics for Image Paragraph Generation
Jing Wang, Yingwei Pan, Ting Yao, Jinhui Tang, Tao Mei
DSRN: A Deep Scale Relationship Network for Scene Text Detection
Yuxin Wang, Hongtao Xie, Zilong Fu, Yongdong Zhang
Transferable Adversarial Attacks for Image and Video Object Detection
Xingxing Wei, Siyuan Liang, Ning Chen, Xiaochun Cao
Video Interactive Captioning with Human Prompts
Aming Wu, Yahong Han, Yi Yang
Mutually Reinforced Spatio-Temporal Convolutional Tube for Human Action Recognition
Haoze Wu, Jiawei Liu, Zheng-Jun Zha, Zhenzhong Chen, Xiaoyan Sun
Densely Supervised Hierarchical Policy-Value Network for Image Paragraph Generation
Siying Wu, Zheng-Jun Zha, Zilei Wang, Houqiang Li, Feng Wu
Graph Convolutional Network Hashing for Cross-Modal Retrieval
Ruiqing Xu, Chao Li, Junchi Yan, Cheng Deng, Xianglong Liu
MSR: Multi-Scale Shape Regression for Scene Text Detection
Chuhui Xue, Shijian Lu, Wei Zhang
Dynamically Visual Disambiguation of Keyword-based Image Search
Yazhou Yao, Zeren Sun, Fumin Shen, Li Liu, Limin Wang, Fan Zhu, Lizhong Ding, Gangshan Wu, Ling Shao
High Performance Gesture Recognition via Effective and Efficient Temporal Modeling
Yang Yi, Feng Ni, Yuexin Ma, Xinge Zhu, Yuankai Qi, Riming Qiu, Shijie Zhao, Feng Li, Yongtao Wang
Capturing Spatial and Temporal Patterns for Facial Landmark Tracking through Adversarial Learning
Shi Yin, Shangfei Wang, Guozhu Peng, Xiaoping Chen, Bowen Pan
Pose-preserving Cross Spectral Face Hallucination
Junchi Yu, Jie Cao, Yi Li, Xiaofei Jia, Ran He
Generative Visual Dialogue System via Weighted Likelihood Estimation
Heming Zhang, Shalini Ghosh, Larry Heck, Stephen Walsh, Junting Zhang, Jie Zhang, C.-C. Jay Kuo
Binarized Neural Networks for Resource-Efficient Hashing with Minimizing Quantization Loss
Feng Zheng, Cheng Deng, Heng Huang
LRDNN: Local-refining based Deep Neural Network for Person Re-Identification with Attribute Discerning
Qinqin Zhou, Bineng Zhong, Xiangyuan Lan, Gan Sun, Yulun Zhang, Mengran Gou
Face Photo-Sketch Synthesis via Knowledge Transfer
Mingrui Zhu, Nannan Wang, Xinbo Gao, Jie Li, Zhifeng Li
Constraints and SAT
Athanor: High-Level Local Search Over Abstract Constraint Specifications in Essence
Saad Attieh, Nguyen Dang, Christopher Jefferson, Ian Miguel, Peter Nightingale
Constraint Programming for Mining Borders of Frequent Itemsets
Mohamed-Bachir Belaid, Christian Bessiere, Nadjib Lazaar
How to Tame Your Anticipatory Algorithm
Allegra De Filippo, Michele Lombardi, Michela Milano
Predict+Optimise with Ranking Objectives: Exhaustively Learning Linear Functions
Emir Demirovic, Peter J. Stuckey, James Bailey, Jeffrey Chan, Christopher Leckie, Kotagiri Ramamohanarao, Tias Guns
Privacy-Preserving Obfuscation of Critical Infrastructure Networks
Ferdinando Fioretto, Terrence W.K. Mak, Pascal Van Hentenryck
Solving the Satisfiability Problem of Modal Logic S5 Guided by Graph Coloring
Pei Huang, Minghao Liu, Ping Wang, Wenhui Zhang, Feifei Ma, Jian Zhang
DoubleLex Revisited and Beyond
Xuming Huang, Jimmy Lee
Model-Based Diagnosis with Multiple Observations
Alexey Ignatiev, Antonio Morgado, Georg Weissenbacher, Joao Marques-Silva
Enumerating Potential Maximal Cliques via SAT and ASP
Tuukka Korhonen, Jeremias Berg, Matti Järvisalo
Entropy-Penalized Semidefinite Programming
Mikhail Krechetov, Jakub Marecek, Yury Maximov, Martin Takac
Acquiring Integer Programs from Data
Mohit Kumar, Stefano Teso, Luc De Raedt
Stochastic Constraint Propagation for Mining Probabilistic Networks
Anna Louise D. Latour, Behrouz Babaki, Siegfried Nijssen
Optimizing Constraint Solving via Dynamic Programming
Shu Lin, Na Meng, Wenxin Li
Constraint-Based Scheduling with Complex Setup Operations: An Iterative Two-Layer Approach
Adriana Pacheco, Cédric Pralet, Stéphanie Roussel
Phase Transition Behavior of Cardinality and XOR Constraints
Yash Pote, Saurabh Joshi, Kuldeep S. Meel
GANAK: A Scalable Probabilistic Exact Model Counter
Shubham Sharma, Subhajit Roy, Mate Soos, Kuldeep S. Meel
Unifying Search-based and Compilation-based Approaches to Multi-agent Path Finding through Satisfiability Modulo Theories
Pavel Surynek
Integrating Pseudo-Boolean Constraint Reasoning in Multi-Objective Evolutionary Algorithms
Miguel Terra-Neves, Inês Lynce, Vasco Manquinho
Resolution and Domination: An Improved Exact MaxSAT Algorithm
Chao Xu, Wenjun Li, Yongjie Yang, Jianer Chen, Jianxin Wang
Heuristic Search and Game Playing
Path Planning with CPD Heuristics
Massimo Bono, Alfonso E. Gerevini, Daniel D. Harabor, Peter J. Stuckey
A*+IDA*: A Simple Hybrid Search Algorithm
Zhaoxing Bu, Richard E. Korf
Deanonymizing Social Networks Using Structural Information
Ioannis Caragiannis, Evanthia Tsitsoka
Conditions for Avoiding Node Re-expansions in Bounded Suboptimal Search
Jingwei Chen, Nathan R. Sturtevant
An Efficient Evolutionary Algorithm for Minimum Cost Submodular Cover
Victoria G. Crawford
An Evolution Strategy with Progressive Episode Lengths for Playing Games
Lior Fuks, Noor Awad, Frank Hutter, Marius Lindauer
Regarding Jump Point Search and Subgoal Graphs
Daniel D. Harabor, Tansel Uras, Peter J. Stuckey, Sven Koenig
Iterative Budgeted Exponential Search
Malte Helmert, Tor Lattimore, Levi H. S. Lelis, Laurent Orseau, Nathan R. Sturtevant
Direction-Optimizing Breadth-First Search with External Memory Storage
Shuli Hu, Nathan R. Sturtevant
DeltaDou: Expert-level Doudizhu AI through Self-play
Qiqi Jiang, Kuangzheng Li, Boyao Du, Hao Chen, Hai Fang
Graph Mining Meets Crowdsourcing: Extracting Experts for Answer Aggregation
Yasushi Kawase, Yuko Kuroki, Atsushi Miyauchi
Depth-First Memory-Limited AND/OR Search and Unsolvability in Cyclic Search Spaces
Akihiro Kishimoto, Adi Botea, Radu Marinescu
Branch-and-Cut-and-Price for Multi-Agent Pathfinding
Edward Lam, Pierre Le Bodic, Daniel D. Harabor, Peter J. Stuckey
Local Search with Efficient Automatic Configuration for Minimum Vertex Cover
Chuan Luo, Holger H. Hoos, Shaowei Cai, Qingwei Lin, Hongyu Zhang, Dongmei Zhang
Learning Deep Decentralized Policy Network by Collective Rewards for Real-Time Combat Game
Peixi Peng, Junliang Xing, Lili Cao, Lisen Mu, Chang Huang
Heuristic Search for Homology Localization Problem and Its Application in Cardiac Trabeculae Reconstruction
Xudong Zhang, Pengxiang Wu, Changhe Yuan, Yusu Wang, Dimitris Metaxas, Chao Chen
Non-smooth Optimization over Stiefel Manifolds with Applications to Dimensionality Reduction and Graph Clustering
Fariba Zohrizadeh, Mohsen Kheirandishfard, Farhad Kamangar, Ramtin Madani
Humans and AI
Explaining Reinforcement Learning to Mere Mortals: An Empirical Study
Andrew Anderson, Jonathan Dodge, Amrita Sadarangani, Zoe Juozapaitis, Evan Newman, Jed Irvine, Souti Chattopadhyay, Alan Fern, Margaret Burnett
Balancing Explicability and Explanations in Human-Aware Planning
Tathagata Chakraborti, Sarath Sreedharan, Subbarao Kambhampati
Multi-agent Attentional Activity Recognition
Kaixuan Chen, Lina Yao, Dalin Zhang, Bin Guo, Zhiwen Yu
Deep Adversarial Social Recommendation
Wenqi Fan, Tyler Derr, Yao Ma, Jianping Wang, Jiliang Tang, Qing Li
A Semantics-based Model for Predicting Children's Vocabulary
Ishaan Grover, Hae Won Park, Cynthia Breazeal
STCA: Spatio-Temporal Credit Assignment with Delayed Feedback in Deep Spiking Neural Networks
Pengjie Gu, Rong Xiao, Gang Pan, Huajin Tang
Dynamic Item Block and Prediction Enhancing Block for Sequential Recommendation
Guibing Guo, Shichang Ouyang, Xiaodong He, Fajie Yuan, Xiaohua Liu
Discrete Trust-aware Matrix Factorization for Fast Recommendation
Guibing Guo, Enneng Yang, Li Shen, Xiaochun Yang, Xiaodong He
Decoding EEG by Visual-guided Deep Neural Networks
Zhicheng Jiao, Haoxuan You, Fan Yang, Xin Li, Han Zhang, Dinggang Shen
MiSC: Mixed Strategies Crowdsourcing
Ching Yun Ko, Rui Lin, Shu Li, Ngai Wong
Exploring Computational User Models for Agent Policy Summarization
Isaac Lage, Daphna Lifschitz, Finale Doshi-Velez, Ofra Amir
Minimizing Time-to-Rank: A Learning and Recommendation Approach
Haoming Li, Sujoy Sikdar, Rohit Vaish, Junming Wang, Lirong Xia, Chaonan Ye
DeepFlow: Detecting Optimal User Experience From Physiological Data Using Deep Neural Networks
Marco Maier, Daniel Elsner, Chadly Marouane, Meike Zehnle, Christoph Fuchs
Why Can’t You Do That HAL? Explaining Unsolvability of Planning Tasks
Sarath Sreedharan, Siddharth Srivastava, David Smith, Subbarao Kambhampati
Personalized Multimedia Item and Key Frame Recommendation
Le Wu, Lei Chen, Yonghui Yang, Richang Hong, Yong Ge, Xing Xie, Meng Wang
Counterfactual Fairness: Unidentification, Bound and Algorithm
Yongkai Wu, Lu Zhang, Xintao Wu
Fast and Accurate Classification with a Multi-Spike Learning Algorithm for Spiking Neurons
Rong Xiao, Qiang Yu, Rui Yan, Huajin Tang
Achieving Causal Fairness through Generative Adversarial Networks
Depeng Xu, Yongkai Wu, Shuhan Yuan, Lu Zhang, Xintao Wu
DeepAPF: Deep Attentive Probabilistic Factorization for Multi-site Video Recommendation
Huan Yan, Xiangning Chen, Chen Gao, Yong Li, Depeng Jin
An Input-aware Factorization Machine for Sparse Prediction
Yantao Yu, Zhen Wang, Bo Yuan
Multiple Noisy Label Distribution Propagation for Crowdsourcing
Hao Zhang, Liangxiao Jiang, Wenqiang Xu
FAHT: An Adaptive Fairness-aware Decision Tree Classifier
Wenbin Zhang, Eirini Ntoutsi
Knowledge Representation and Reasoning
ASP-based Discovery of Semi-Markovian Causal Models under Weaker Assumptions
Zhalama, Jiji Zhang, Frederick Eberhardt, Wolfgang Mayer, Mark Junjie Li
On the Integration of CP-nets in ASPRIN
Mario Alviano, Javier Romero, Torsten Schaub
Compilation of Logical Arguments
Leila Amgoud, Dragan Doder
Observations on Darwiche and Pearl's Approach for Iterated Belief Revision
Theofanis Aravanis, Pavlos Peppas, Mary-Anne Williams
Do You Need Infinite Time?
Alessandro Artale, Andrea Mazzullo, Ana Ozaki
Stratified Evidence Logics
Philippe Balbiani, David Fernández-Duque, Andreas Herzig, Emiliano Lorini
Worst-Case Optimal Querying of Very Expressive Description Logics with Path Expressions and Succinct Counting
Bartosz Bednarczyk, Sebastian Rudolph
Comparing Options with Argument Schemes Powered by Cancellation
Khaled Belahcene, Christophe Labreuche, Nicolas Maudet, Vincent Mousseau, Wassila Ouerdane
Possibilistic Games with Incomplete Information
Nahla Ben Amor, Helene Fargier, Régis Sabbadin, Meriem Trabelsi
Reasoning about Disclosure in Data Integration in the Presence of Source Constraints
Michael Benedikt, Pierre Bourhis, Louis Jachiet, Michaël Thomazo
Mixed-World Reasoning with Existential Rules under Active-Domain Semantics
Meghyn Bienvenu, Pierre Bourhis
Guarantees for Sound Abstractions for Generalized Planning
Blai Bonet, Raquel Fuentetaja, Yolanda E-Martín, Daniel Borrajo
Ontology Approximation in Horn Description Logics
Anneke Bötcher, Carsten Lutz, Frank Wolter
Oblivious and Semi-Oblivious Boundedness for Existential Rules
Pierre Bourhis, Michel Leclère, Marie-Laure Mugnier, Sophie Tison, Federico Ulliana, Lily Gallois
Reasoning about Quality and Fuzziness of Strategic Behaviours
Patricia Bouyer, Orna Kupferman, Nicolas Markey, Bastien Maubert, Aniello Murano, Giuseppe Perelli
The Complexity of Model Checking Knowledge and Time
Laura Bozzelli, Bastien Maubert, Aniello Murano
Planning for LTLf /LDLf Goals in Non-Markovian Fully Observable Nondeterministic Domains
Ronen I. Brafman, Giuseppe De Giacomo
Causal Discovery with Cascade Nonlinear Additive Noise Model
Ruichu Cai, Jie Qiao, Kun Zhang, Zhenjie Zhang, Zhifeng Hao
Enriching Ontology-based Data Access with Provenance
Diego Calvanese, Davide Lanti, Ana Ozaki, Rafael Penaloza, Guohui Xiao
Chasing Sets: How to Use Existential Rules for Expressive Reasoning
David Carral, Irina Dragoste, Markus Krötzsch, Christian Lewe
Simple Conditionals with Constrained Right Weakening
Giovanni Casini, Thomas Meyer, Ivan Varzinczak
Explanations for Query Answers under Existential Rules
İsmail İlkan Ceylan, Thomas Lukasiewicz, Enrico Malizia, Andrius Vaicenavičius
Semantic Characterization of Data Services through Ontologies
Gianluca Cima, Maurizio Lenzerini, Antonella Poggi
Measuring the Likelihood of Numerical Constraints
Marco Console, Matthias Hofer, Leonid Libkin
From Statistical Transportability to Estimating the Effect of Stochastic Interventions
Juan D. Correa, Elias Bareinboim
Answer Set Programming for Judgment Aggregation
Ronald de Haan, Marija Slavkovik
An ASP Approach to Generate Minimal Countermodels in Intuitionistic Propositional Logic
Camillo Fiorentini
Learning Description Logic Concepts: When can Positive and Negative Examples be Separated?
Maurice Funk, Jean Christoph Jung, Carsten Lutz, Hadrien Pulcini, Frank Wolter
Aggressive Driving Saves More Time? Multi-task Learning for Customized Travel Time Estimation
Ruipeng Gao, Xiaoyu Guo, Fuyong Sun, Lin Dai, Jiayan Zhu, Chenxi Hu, Haibo Li
Approximating Integer Solution Counting via Space Quantification for Linear Constraints
Cunjing Ge, Feifei Ma, Xutong Ma, Fan Zhang, Pei Huang, Jian Zhang
Best Answers over Incomplete Data : Complexity and First-Order Rewritings
Amélie Gheerbrant, Cristina Sirangelo
On Division Versus Saturation in Pseudo-Boolean Solving
Stephan Gocht, Jakob Nordström, Amir Yehudayoff
On Finite and Unrestricted Query Entailment beyond SQ with Number Restrictions on Transitive Roles
Tomasz Gogacz, Víctor Gutiérrez-Basulto, Yazmín Ibáñez-García, Jean Christoph Jung, Filip Murlak
Belief Revision Operators with Varying Attitudes Towards Initial Beliefs
Adrian Haret, Stefan Woltran
Some Things are Easier for the Dumb and the Bright Ones (Beware the Average!)
Wojciech Jamroga, Michał Knapik
Converging on Common Knowledge
Dominik Klein, Rasmus Kræmmer Rendsvig
Rational Inference Relations from Maximal Consistent Subsets Selection
Sébastien Konieczny, Pierre Marquis, Srdjan Vesic
How to Handle Missing Values in Multi-Criteria Decision Aiding?
Christophe Labreuche, Sébastien Destercke
A Tractable, Expressive, and Eventually Complete First-Order Logic of Limited Belief
Gerhard Lakemeyer, Hector J. Levesque
Travel Time Estimation without Road Networks: An Urban Morphological Layout Representation Approach
Wuwei Lan, Yanyan Xu, Bin Zhao
Augmenting Transfer Learning with Semantic Reasoning
Freddy Lécué, Jiaoyan Chen, Jeff Z. Pan, Huajun Chen
Revisiting Controlled Query Evaluation in Description Logics
Domenico Lembo, Riccardo Rosati, Domenico Fabio Savo
Unit Selection Based on Counterfactual Logic
Ang Li, Judea Pearl
Story Ending Prediction by Transferable BERT
Zhongyang Li, Xiao Ding, Ting Liu
Geo-ALM: POI Recommendation by Fusing Geographical Information and Adversarial Learning Mechanism
Wei Liu, Zhi-Jie Wang, Bin Yao, Jian Yin
Automatic Verification of FSA Strategies via Counterexample-Guided Local Search for Invariants
Kailun Luo, Yongmei Liu
BiOWA for Preference Aggregation with Bipolar Scales: Application to Fair Optimization in Combinatorial Domains
Hugo Martin, Patrice Perny
Satisfaction and Implication of Integrity Constraints in Ontology-based Data Access
Charalampos Nikolaou, Bernardo Cuenca Grau, Egor V. Kostylev, Mark Kaminski, Ian Horrocks
Monitoring of a Dynamic System Based on Autoencoders
Aomar Osmani, Massinissa Hamidi, Salah Bouhouche
Boosting for Comparison-Based Learning
Michael Perrot, Ulrike von Luxburg
Data Complexity and Rewritability of Ontology-Mediated Queries in Metric Temporal Logic under the Event-Based Semantics
Vladislav Ryzhikov, Przemyslaw Andrzej Walega, Michael Zakharyaschev
Belief Update without Compactness in Non-finitary Languages
Jandson S Ribeiro, Abhaya Nayak, Renata Wassermann
What Has Been Said? Identifying the Change Formula in a Belief Revision Scenario
Nicolas Schwind, Katsumi Inoue, Sébastien Konieczny, Jean-Marie Lagniez, Pierre Marquis
Estimating Causal Effects of Tone in Online Debates
Dhanya Sridhar, Lise Getoor
Out of Sight But Not Out of Mind: An Answer Set Programming Based Online Abduction Framework for Visual Sensemaking in Autonomous Driving
Jakob Suchan, Mehul Bhatt, Srikrishna Varadarajan
DatalogMTL: Computational Complexity and Expressive Power
Przemysław A. Wałęga, Bernardo Cuenca Grau, Mark Kaminski, Egor V. Kostylev
Cross-City Transfer Learning for Deep Spatio-Temporal Prediction
Leye Wang, Xu Geng, Xiaojuan Ma, Feng Liu, Qiang Yang
A Modal Characterization Theorem for a Probabilistic Fuzzy Description Logic
Paul Wild, Lutz Schröder, Dirk Pattinson, Barbara König
Graph WaveNet for Deep Spatial-Temporal Graph Modeling
Zonghan Wu, Shirui Pan, Guodong Long, Jing Jiang, Chengqi Zhang
Profit-driven Task Assignment in Spatial Crowdsourcing
Jinfu Xia, Yan Zhao, Guanfeng Liu, Jiajie Xu, Min Zhang, Kai Zheng
Boosting Causal Embeddings via Potential Verb-Mediated Causal Patterns
Zhipeng Xie, Feiteng Mu
Graph Convolutional Networks using Heat Kernel for Semi-supervised Learning
Bingbing Xu, Huawei Shen, Qi Cao, Keting Cen, Xueqi Cheng
TransMS: Knowledge Graph Embedding for Complex Relations by Multidirectional Semantics
Shihui Yang, Jidong Tian, Honglun Zhang, Junchi Yan, Hao He, Yaohui Jin
Neighborhood-Aware Attentional Representation for Multilingual Knowledge Graphs
Qiannan Zhu, Xiaofei Zhou, Jia Wu, Jianlong Tan, Li Guo
Machine Learning A-L
The Expected-Length Model of Options
David Abel, John Winder, Marie desJardins, Michael Littman
Human-in-the-loop Active Covariance Learning for Improving Prediction in Small Data Sets
Homayun Afrabandpey, Tomi Peltola, Samuel Kaski
Inter-node Hellinger Distance based Decision Tree
Pritom Saha Akash, Md. Eusha Kadir, Amin Ahsan Ali, Mohammad Shoyaib
Unobserved Is Not Equal to Non-existent: Using Gaussian Processes to Infer Immediate Rewards Across Contexts
Hamoon Azizsoltani, Yeo Jin Kim, Markel Sanz Ausin, Tiffany Barnes, Min Chi
STG2Seq: Spatial-Temporal Graph to Sequence Model for Multi-step Passenger Demand Forecasting
Lei Bai, Lina Yao, Salil S. Kanhere, Xianzhi Wang, Quan Z. Sheng
Unsupervised Inductive Graph-Level Representation Learning via Graph-Graph Proximity
Yunsheng Bai, Hao Ding, Yang Qiao, Agustin Marinovic, Ken Gu, Ting Chen, Yizhou Sun, Wei Wang
Conditional GAN with Discriminative Filter Generation for Text-to-Video Synthesis
Yogesh Balaji, Martin Renqiang Min, Bing Bai, Rama Chellappa, Hans Peter Graf
An Actor-Critic-Attention Mechanism for Deep Reinforcement Learning in Multi-view Environments
Elaheh Barati, Xuewen Chen
Motion Invariance in Visual Environments
Alessandro Betti, Marco Gori, Stefano Melacci
Optimal Exploitation of Clustering and History Information in Multi-armed Bandit
Djallel Bouneffouf, Srinivasan Parthasarathy, Horst Samulowitz, Martin Wistuba
Incremental Elicitation of Rank-Dependent Aggregation Functions based on Bayesian Linear Regression
Nadjet Bourdache, Patrice Perny, Olivier Spanjaard
A Gradient-Based Split Criterion for Highly Accurate and Transparent Model Trees
Klaus Broelemann, Gjergji Kasneci
Matrix Completion in the Unit Hypercube via Structured Matrix Factorization
Emanuele Bugliarello, Swayambhoo Jain, Vineeth Rakesh
Active Learning within Constrained Environments through Imitation of an Expert Questioner
Kalesha Bullard, Yannick Schroecker, Sonia Chernova
Multi-View Active Learning for Video Recommendation
Jia-Jia Cai, Jun Tang, Qing-Guo Chen, Yao Hu, Xiaobo Wang, Sheng-Jun Huang
Learning Disentangled Semantic Representation for Domain Adaptation
Ruichu Cai, Zijian Li, Pengfei Wei, Jie Qiao, Kun Zhang, Zhifeng Hao
Tree Sampling Divergence: An Information-Theoretic Metric for Hierarchical Graph Clustering
Bertrand Charpentier, Thomas Bonald
FakeTables: Using GANs to Generate Functional Dependency Preserving Tables with Bounded Real Data
Haipeng Chen, Sushil Jajodia, Jing Liu, Noseong Park, Vadim Sokolov, V. S. Subrahmanian
Theoretical Investigation of Generalization Bound for Residual Networks
Hao Chen, Zhanfeng Mo, Zhouwang Yang, Xiao Wang
Learning Semantic Annotations for Tabular Data
Jiaoyan Chen, Ernesto Jimenez-Ruiz, Ian Horrocks, Charles Sutton
Matching User with Item Set: Collaborative Bundle Recommendation with Deep Attention Network
Liang Chen, Yang Liu, Xiangnan He, Lianli Gao, Zibin Zheng
Cooperative Pruning in Cross-Domain Deep Neural Network Compression
Shangyu Chen, Wenya Wang, Sinno Jialin Pan
Extensible Cross-Modal Hashing
Tian-yi Chen, Lan Zhang, Shi-cong Zhang, Zi-long Li, Bai-chuan Huang
Semi-supervised User Profiling with Heterogeneous Graph Attention Networks
Weijian Chen, Yulong Gu, Zhaochun Ren, Xiangnan He, Hongtao Xie, Tong Guo, Dawei Yin, Yongdong Zhang
ActiveHNE: Active Heterogeneous Network Embedding
Xia Chen, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Zhao Li, Xiangliang Zhang
A Restart-based Rank-1 Evolution Strategy for Reinforcement Learning
Zefeng Chen, Yuren Zhou, Xiao-yu He, Siyu Jiang
Co-Attentive Multi-Task Learning for Explainable Recommendation
Zhongxia Chen, Xiting Wang, Xing Xie, Tong Wu, Guoqing Bu, Yining Wang, Enhong Chen
Variational Graph Embedding and Clustering with Laplacian Eigenmaps
Zitai Chen, Chuan Chen, Zong Zhang, Zibin Zheng, Qingsong Zou
Deep Active Learning for Anchor User Prediction
Anfeng Cheng, Chuan Zhou, Hong Yang, Jia Wu, Lei Li, Jianlong Tan, Li Guo
Success Prediction on Crowdfunding with Multimodal Deep Learning
Chaoran Cheng, Fei Tan, Xiurui Hou, Zhi Wei
Approximate Optimal Transport for Continuous Densities with Copulas
Jinjin Chi, Jihong Ouyang, Ximing Li, Yang Wang, Meng Wang
Ornstein Auto-Encoders
Youngwon Choi, Joong-Ho Won
A Strongly Asymptotically Optimal Agent in General Environments
Michael K. Cohen, Elliot Catt, Marcus Hutter
Extrapolating Paths with Graph Neural Networks
Jean-Baptiste Cordonnier, Andreas Loukas
Recommending Links to Maximize the Influence in Social Networks
Federico Corò, Gianlorenzo D'Angelo, Yllka Velaj
Three-Player Wasserstein GAN via Amortised Duality
Nhan Dam, Quan Hoang, Trung Le, Tu Dinh Nguyen, Hung Bui, Dinh Phung
Learn Smart with Less: Building Better Online Decision Trees with Fewer Training Examples
Ariyam Das, Jin Wang, Sahil M. Gandhi, Jae Lee, Wei Wang, Carlo Zaniolo
IRC-GAN: Introspective Recurrent Convolutional GAN for Text-to-video Generation
Kangle Deng, Tianyi Fei, Xin Huang, Yuxin Peng
Marginal Posterior Sampling for Slate Bandits
Maria Dimakopoulou, Nikos Vlassis, Tony Jebara
Reinforced Negative Sampling for Recommendation with Exposure Data
Jingtao Ding, Yuhan Quan, Xiangnan He, Yong Li, Depeng Jin
Group Reconstruction and Max-Pooling Residual Capsule Network
Xinpeng Ding, Nannan Wang, Xinbo Gao, Jie Li, Xiaoyu Wang
Crafting Efficient Neural Graph of Large Entropy
Minjing Dong, Hanting Chen, Yunhe Wang, Chang Xu
Joint Link Prediction and Network Alignment via Cross-graph Embedding
Xingbo Du, Junchi Yan, Hongyuan Zha
Fast Algorithm for K-Truss Discovery on Public-Private Graphs
Soroush Ebadian, Xin Huang
Mindful Active Learning
Zhila Esna Ashari, Hassan Ghasemzadeh
iDev: Enhancing Social Coding Security by Cross-platform User Identification Between GitHub and Stack Overflow
Yujie Fan, Yiming Zhang, Shifu Hou, Lingwei Chen, Yanfang Ye, Chuan Shi, Liang Zhao, Shouhuai Xu
Hybrid Actor-Critic Reinforcement Learning in Parameterized Action Space
Zhou Fan, Rui Su, Weinan Zhang, Yong Yu
GSTNet: Global Spatial-Temporal Network for Traffic Flow Prediction
Shen Fang, Qi Zhang, Gaofeng Meng, Shiming Xiang, Chunhong Pan
Partial Label Learning by Semantic Difference Maximization
Lei Feng, Bo An
Deep Session Interest Network for Click-Through Rate Prediction
Yufei Feng, Fuyu Lv, Weichen Shen, Menghan Wang, Fei Sun, Yu Zhu, Keping Yang
Curriculum Learning for Cumulative Return Maximization
Francesco Foglino, Christiano Coletto Christakou, Ricardo Luna Gutierrez, Matteo Leonetti
Advocacy Learning: Learning through Competition and Class-Conditional Representations
Ian Fox, Jenna Wiens
Neurons Merging Layer: Towards Progressive Redundancy Reduction for Deep Supervised Hashing
Chaoyou Fu, Liangchen Song, Xiang Wu, Guoli Wang, Ran He
Deep Multi-Agent Reinforcement Learning with Discrete-Continuous Hybrid Action Spaces
Haotian Fu, Hongyao Tang, Jianye Hao, Zihan Lei, Yingfeng Chen, Changjie Fan
Automatic Successive Reinforcement Learning with Multiple Auxiliary Rewards
Zhao-Yang Fu, De-Chuan Zhan, Xin-Chun Li, Yi-Xing Lu
RecoNet: An Interpretable Neural Architecture for Recommender Systems
Francesco Fusco, Michalis Vlachos, Vasileios Vasileiadis, Kathrin Wardatzky, Johannes Schneider
Reward Learning for Efficient Reinforcement Learning in Extractive Document Summarisation
Yang Gao, Christian M. Meyer, Mohsen Mesgar, Iryna Gurevych
Fully Distributed Bayesian Optimization with Stochastic Policies
Javier Garcia-Barcos, Ruben Martinez-Cantin
Scalable Semi-Supervised SVM via Triply Stochastic Gradients
Xiang Geng, Bin Gu, Xiang Li, Wanli Shi, Guansheng Zheng, Heng Huang
Perception-Aware Point-Based Value Iteration for Partially Observable Markov Decision Processes
Mahsa Ghasemi, Ufuk Topcu
Efficient Regularization Parameter Selection for Latent Variable Graphical Models via Bi-Level Optimization
Joachim Giesen, Frank Nussbaum, Christopher Schneider
Using Natural Language for Reward Shaping in Reinforcement Learning
Prasoon Goyal, Scott Niekum, Raymond J. Mooney
Sketched Iterative Algorithms for Structured Generalized Linear Models
Qilong Gu, Arindam Banerjee
SPINE: Structural Identity Preserved Inductive Network Embedding
Junliang Guo, Linli Xu, Jingchang Liu
Discriminative Sample Generation for Deep Imbalanced Learning
Ting Guo, Xingquan Zhu, Yang Wang, Fang Chen
Affine Equivariant Autoencoder
Xifeng Guo, En Zhu, Xinwang Liu, Jianping Yin
AdaLinUCB: Opportunistic Learning for Contextual Bandits
Xueying Guo, Xiaoxiao Wang, Xin Liu
Zero-shot Learning with Many Classes by High-rank Deep Embedding Networks
Yuchen Guo, Guiguang Ding, Jungong Han, Hang Shao, Xin Lou, Qionghai Dai
Landmark Selection for Zero-shot Learning
Yuchen Guo, Guiguang Ding, Jungong Han, Chenggang Yan, Jiyong Zhang, Qionghai Dai
MineRL: A Large-Scale Dataset of Minecraft Demonstrations
William H. Guss, Brandon Houghton, Nicholay Topin, Phillip Wang, Cayden Codel, Manuela Veloso, Ruslan Salakhutdinov
Confirmatory Bayesian Online Change Point Detection in the Covariance Structure of Gaussian Processes
Jiyeon Han, Kyowoon Lee, Anh Tong, Jaesik Choi
Attribute Aware Pooling for Pedestrian Attribute Recognition
Kai Han, Yunhe Wang, Han Shu, Chuanjian Liu, Chunjing Xu, Chang Xu
Network Embedding under Partial Monitoring for Evolving Networks
Yu Han, Jie Tang, Qian Chen
Deep Active Learning with Adaptive Acquisition
Manuel Haussmann, Fred Hamprecht, Melih Kandemir
One Network for Multi-Domains: Domain Adaptive Hashing with Intersectant Generative Adversarial Networks
Tao He, Yuan-Fang Li, Lianli Gao, Dongxiang Zhang, Jingkuan Song
Deliberation Learning for Image-to-Image Translation
Tianyu He, Yingce Xia, Jianxin Lin, Xu Tan, Di He, Tao Qin, Zhibo Chen
Online Learning from Capricious Data Streams: A Generative Approach
Yi He, Baijun Wu, Di Wu, Ege Beyazit, Sheng Chen, Xindong Wu
Learning Topic Models by Neighborhood Aggregation
Ryohei Hisano
Group-based Learning of Disentangled Representations with Generalizability for Novel Contents
Haruo Hosoya
Robust Learning from Noisy Side-information by Semidefinite Programming
En-Liang Hu, Quanming Yao
Hybrid Item-Item Recommendation via Semi-Parametric Embedding
Peng Hu, Rong Du, Yao Hu, Nan Li
Cascaded Algorithm-Selection and Hyper-Parameter Optimization with Extreme-Region Upper Confidence Bound Bandit
Yi-Qi Hu, Yang Yu, Jun-Da Liao
Deep Metric Learning: The Generalization Analysis and an Adaptive Algorithm
Mengdi Huai, Hongfei Xue, Chenglin Miao, Liuyi Yao, Lu Su, Changyou Chen, Aidong Zhang
Privacy-aware Synthesizing for Crowdsourced Data
Mengdi Huai, Di Wang, Chenglin Miao, Jinhui Xu, Aidong Zhang
Zeroth-Order Stochastic Alternating Direction Method of Multipliers for Nonconvex Nonsmooth Optimization
Feihu Huang, Shangqian Gao, Songcan Chen, Heng Huang
Nostalgic Adam: Weighting More of the Past Gradients When Designing the Adaptive Learning Rate
Haiwen Huang, Chang Wang, Bin Dong
Multi-view Spectral Clustering Network
Zhenyu Huang, Joey Tianyi Zhou, Xi Peng, Changqing Zhang, Hongyuan Zhu, Jiancheng Lv
Conditions on Features for Temporal Difference-Like Methods to Converge
Marcus Hutter, Samuel Yang-Zhao, Sultan Javed Majeed
Entangled Kernels
Riikka Huusari, Hachem Kadri
Efficient Protocol for Collaborative Dictionary Learning in Decentralized Networks
Tsuyoshi Idé, Rudy Raymond, Dzung T. Phan
SlateQ: A Tractable Decomposition for Reinforcement Learning with Recommendation Sets
Eugene Ie, Vihan Jain, Jing Wang, Sanmit Narvekar, Ritesh Agarwal, Rui Wu, Heng-Tze Cheng, Tushar Chandra, Craig Boutilier
Accelerating Extreme Classification via Adaptive Feature Agglomeration
Ankit Jalan, Purushottam Kar
Assumed Density Filtering Q-learning
Heejin Jeong, Clark Zhang, George J. Pappas, Daniel D. Lee
Learning to Learn Gradient Aggregation by Gradient Descent
Jinlong Ji, Xuhui Chen, Qianlong Wang, Lixing Yu, Pan Li
Patent Citation Dynamics Modeling via Multi-Attention Recurrent Networks
Taoran Ji, Zhiqian Chen, Nathan Self, Kaiqun Fu, Chang-Tien Lu, Naren Ramakrishnan
Recurrent Generative Networks for Multi-Resolution Satellite Data: An Application in Cropland Monitoring
Xiaowei Jia, Mengdie Wang, Ankush Khandelwal, Anuj Karpatne, Vipin Kumar
Dynamic Hypergraph Neural Networks
Jianwen Jiang, Yuxuan Wei, Yifan Feng, Jingxuan Cao, Yue Gao
Convolutional Gaussian Embeddings for Personalized Recommendation with Uncertainty
Junyang Jiang, Deqing Yang, Yanghua Xiao, Chenlu Shen
Robust Low-Tubal-Rank Tensor Completion via Convex Optimization
Qiang Jiang, Michael Ng
CensNet: Convolution with Edge-Node Switching in Graph Neural Networks
Xiaodong Jiang, Pengsheng Ji, Sheng Li
Network-Specific Variational Auto-Encoder for Embedding in Attribute Networks
Di Jin, Bingyi Li, Pengfei Jiao, Dongxiao He, Weixiong Zhang
Hypergraph Induced Convolutional Manifold Networks
Taisong Jin, Liujuan Cao, Baochang Zhang, Xiaoshuai Sun, Cheng Deng, Rongrong Ji
Submodular Batch Selection for Training Deep Neural Networks
K J Joseph, Vamshi Teja R, Krishnakant Singh, Vineeth N Balasubramanian
Obstacle Tower: A Generalization Challenge in Vision, Control, and Planning
Arthur Juliani, Ahmed Khalifa, Vincent-Pierre Berges, Jonathan Harper, Ervin Teng, Hunter Henry, Adam Crespi, Julian Togelius, Danny Lange
Interactive Teaching Algorithms for Inverse Reinforcement Learning
Parameswaran Kamalaruban, Rati Devidze, Volkan Cevher, Adish Singla
Multiple Partitions Aligned Clustering
Zhao Kang, Zipeng Guo, Shudong Huang, Siying Wang, Wenyu Chen, Yuanzhang Su, Zenglin Xu
Twin-Systems to Explain Artificial Neural Networks using Case-Based Reasoning: Comparative Tests of Feature-Weighting Methods in ANN-CBR Twins for XAI
Eoin M. Kenny, Mark T. Keane
What to Expect of Classifiers? Reasoning about Logistic Regression with Missing Features
Pasha Khosravi, Yitao Liang, YooJung Choi, Guy Van den Broeck
Outlier Detection for Time Series with Recurrent Autoencoder Ensembles
Tung Kieu, Bin Yang, Chenjuan Guo, Christian S. Jensen
DeepMellow: Removing the Need for a Target Network in Deep Q-Learning
Seungchan Kim, Kavosh Asadi, Michael Littman, George Konidaris
Sequential and Diverse Recommendation with Long Tail
Yejin Kim, Kwangseob Kim, Chanyoung Park, Hwanjo Yu
Single-Channel Signal Separation and Deconvolution with Generative Adversarial Networks
Qiuqiang Kong, Yong Xu, Philip J. B. Jackson, Wenwu Wang, Mark D. Plumbley
Autoregressive Policies for Continuous Control Deep Reinforcement Learning
Dmytro Korenkevych, A. Rupam Mahmood, Gautham Vasan, James Bergstra
Adaptive Ensemble Active Learning for Drifting Data Stream Mining
Bartosz Krawczyk, Alberto Cano
Learning Sound Events from Webly Labeled Data
Anurag Kumar, Ankit Shah, Alexander Hauptmann, Bhiksha Raj
Harnessing the Vulnerability of Latent Layers in Adversarially Trained Models
Nupur Kumari, Mayank Singh, Abhishek Sinha, Harshitha Machiraju, Balaji Krishnamurthy, Vineeth N Balasubramanian
Perturbed-History Exploration in Stochastic Multi-Armed Bandits
Branislav Kveton, Csaba Szepesvári, Mohammad Ghavamzadeh, Craig Boutilier
Meta Reinforcement Learning with Task Embedding and Shared Policy
Lin Lan, Zhenguo Li, Xiaohong Guan, Pinghui Wang
The Dangers of Post-hoc Interpretability: Unjustified Counterfactual Explanations
Thibault Laugel, Marie-Jeanne Lesot, Christophe Marsala, Xavier Renard, Marcin Detyniecki
Correlation-Sensitive Next-Basket Recommendation
Duc-Trong Le, Hady W. Lauw, Yuan Fang
Learning Multiple Maps from Conditional Ordinal Triplets
Dung D. Le, Hady W. Lauw
Learning Generative Adversarial Networks from Multiple Data Sources
Trung Le, Quan Hoang, Hung Vu, Tu Dinh Nguyen, Hung Bui, Dinh Phung
Action Space Learning for Heterogeneous User Behavior Prediction
Dongha Lee, Chanyoung Park, Hyunjun Ju, Junyoung Hwang, Hwanjo Yu
Learning Shared Knowledge for Deep Lifelong Learning using Deconvolutional Networks
Seungwon Lee, James Stokes, Eric Eaton
Similarity Preserving Representation Learning for Time Series Clustering
Qi Lei, Jinfeng Yi, Roman Vaculin, Lingfei Wu, Inderjit S. Dhillon
Differentially Private Optimal Transport: Application to Domain Adaptation
Nam LeTien, Amaury Habrard, Marc Sebban
Cascading Non-Stationary Bandits: Online Learning to Rank in the Non-Stationary Cascade Model
Chang Li, Maarten de Rijke
A Review-Driven Neural Model for Sequential Recommendation
Chenliang Li, Xichuan Niu, Xiangyang Luo, Zhenzhong Chen, Cong Quan
Hierarchical Representation Learning for Bipartite Graphs
Chong Li, Kunyang Jia, Dan Shen, C.J. Richard Shi, Hongxia Yang
Multi-Class Learning using Unlabeled Samples: Theory and Algorithm
Jian Li, Yong Liu, Rong Yin, Weiping Wang
Approximate Manifold Regularization: Scalable Algorithm and Generalization Analysis
Jian Li, Yong Liu, Rong Yin, Weiping Wang
Dense Transformer Networks for Brain Electron Microscopy Image Segmentation
Jun Li, Yongjun Chen, Lei Cai, Ian Davidson, Shuiwang Ji
Learning Interpretable Deep State Space Model for Probabilistic Time Series Forecasting
Longyuan Li, Junchi Yan, Xiaokang Yang, Yaohui Jin
Improving the Robustness of Deep Neural Networks via Adversarial Training with Triplet Loss
Pengcheng Li, Jinfeng Yi, Bowen Zhou, Lijun Zhang
Flexible Multi-View Representation Learning for Subspace Clustering
Ruihuang Li, Changqing Zhang, Qinghua Hu, Pengfei Zhu, Zheng Wang
Improved Algorithm on Online Clustering of Bandits
Shuai Li, Wei Chen, Shuai Li, Kwong-Sak Leung
Linear Time Complexity Time Series Clustering with Symbolic Pattern Forest
Xiaosheng Li, Jessica Lin, Liang Zhao
Learning Network Embedding with Community Structural Information
Yu Li, Ying Wang, Tingting Zhang, Jiawei Zhang, Yi Chang
ARMIN: Towards a More Efficient and Light-weight Recurrent Memory Network
Zhangheng Li, Jia-Xing Zhong, Jingjia Huang, Tao Zhang, Thomas Li, Ge Li
Deep Adversarial Multi-view Clustering Network
Zhaoyang Li, Qianqian Wang, Zhiqiang Tao, Quanxue Gao, Zhaohua Yang
GCN-LASE: Towards Adequately Incorporating Link Attributes in Graph Convolutional Networks
Ziyao Li, Liang Zhang, Guojie Song
Learning K-way D-dimensional Discrete Embedding for Hierarchical Data Visualization and Retrieval
Xiaoyuan Liang, Martin Renqiang Min, Hongyu Guo, Guiling Wang
Worst-Case Discriminative Feature Selection
Shuangli Liao, Quanxue Gao, Feiping Nie, Yang Liu, Xiangdong Zhang
Image-to-Image Translation with Multi-Path Consistency Regularization
Jianxin Lin, Yingce Xia, Yijun Wang, Tao Qin, Zhibo Chen
Balanced Clustering: A Uniform Model and Fast Algorithm
Weibo Lin, Zhu He, Mingyu Xiao
Feature Prioritization and Regularization Improve Standard Accuracy and Adversarial Robustness
Chihuang Liu, Joseph JaJa
Learning Instance-wise Sparsity for Accelerating Deep Models
Chuanjian Liu, Yunhe Wang, Kai Han, Chunjing Xu, Chang Xu
Learning Robust Distance Metric with Side Information via Ratio Minimization of Orthogonally Constrained L21-Norm Distances
Kai Liu, Lodewijk Brand, Hua Wang, Feiping Nie
Prototype Propagation Networks (PPN) for Weakly-supervised Few-shot Learning on Category Graph
Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Lina Yao, Chengqi Zhang
Margin Learning Embedded Prediction for Video Anomaly Detection with A Few Anomalies
Wen Liu, Weixin Luo, Zhengxin Li, Peilin Zhao, Shenghua Gao
Supervised Short-Length Hashing
Xingbo Liu, Xiushan Nie, Quan Zhou, Xiaoming Xi, Lei Zhu, Yilong Yin
Graph and Autoencoder Based Feature Extraction for Zero-shot Learning
Yang Liu, Deyan Xie, Quanxue Gao, Jungong Han, Shujian Wang, Xinbo Gao
Accelerated Incremental Gradient Descent using Momentum Acceleration with Scaling Factor
Yuanyuan Liu, Fanhua Shang, Licheng Jiao
Omnidirectional Scene Text Detection with Sequential-free Box Discretization
Yuliang Liu, Sheng Zhang, Lianwen Jin, Lele Xie, Yaqiang Wu, Zhepeng Wang
Hi-Fi Ark: Deep User Representation via High-Fidelity Archive Network
Zheng Liu, Yu Xing, Fangzhao Wu, Mingxiao An, Xing Xie
Learning Low-precision Neural Networks without Straight-Through Estimator (STE)
Zhi-Gang Liu, Matthew Mattina
Parametric Manifold Learning of Gaussian Mixture Models
Ziquan Liu, Lei Yu, Janet H. Hsiao, Antoni B. Chan
Multi-Objective Generalized Linear Bandits
Shiyin Lu, Guanghui Wang, Yao Hu, Lijun Zhang
Knowledge Amalgamation from Heterogeneous Networks by Common Feature Learning
Sihui Luo, Xinchao Wang, Gongfan Fang, Yao Hu, Dapeng Tao, Mingli Song
E²GAN: End-to-End Generative Adversarial Network for Multivariate Time Series Imputation
Yonghong Luo, Ying Zhang, Xiangrui Cai, Xiaojie Yuan
Weakly Supervised Multi-Label Learning via Label Enhancement
JiaQi Lv, Ning Xu, RenYi Zheng, Xin Geng
Machine Learning M-Z
AttnSense: Multi-level Attention Mechanism For Multimodal Human Activity Recognition
HaoJie Ma, Wenzhong Li, Xiao Zhang, Songcheng Gao, Sanglu Lu
Monte Carlo Tree Search for Policy Optimization
Xiaobai Ma, Katherine Driggs-Campbell, Zongzhang Zhang, Mykel J. Kochenderfer
Coarse-to-Fine Image Inpainting via Region-wise Convolutions and Non-Local Correlation
Yuqing Ma, Xianglong Liu, Shihao Bai, Lei Wang, Dailan He, Aishan Liu
On Principled Entropy Exploration in Policy Optimization
Jincheng Mei, Chenjun Xiao, Ruitong Huang, Dale Schuurmans, Martin Müller
Anytime Bottom-Up Rule Learning for Knowledge Graph Completion
Christian Meilicke, Melisachew Wudage Chekol, Daniel Ruffinelli, Heiner Stuckenschmidt
Unsupervised Hierarchical Temporal Abstraction by Simultaneously Learning Expectations and Representations
Katherine Metcalf, David Leake
Meta-Learning for Low-resource Natural Language Generation in Task-oriented Dialogue Systems
Fei Mi, Minlie Huang, Jiyong Zhang, Boi Faltings
Robust Flexible Feature Selection via Exclusive L21 Regularization
Di Ming, Chris Ding
Advantage Amplification in Slowly Evolving Latent-State Environments
Martin Mladenov, Ofer Meshi, Jayden Ooi, Dale Schuurmans, Craig Boutilier
Deep Variational Koopman Models: Inferring Koopman Observations for Uncertainty-Aware Dynamics Modeling and Control
Jeremy Morton, Freddie D. Witherden, Mykel J. Kochenderfer
DyAt Nets: Dynamic Attention Networks for State Forecasting in Cyber-Physical Systems
Nikhil Muralidhar, Sathappan Muthiah, Naren Ramakrishnan
Outlier-Robust Multi-Aspect Streaming Tensor Completion and Factorization
Mehrnaz Najafi, Lifang He, Philip S. Yu
Incremental Learning of Planning Actions in Model-Based Reinforcement Learning
Jun Hao Alvin Ng, Ronald P. A. Petrick
Group LASSO with Asymmetric Structure Estimation for Multi-Task Learning
Saullo H. G. Oliveira, André R. Gonçalves, Fernando J. Von Zuben
Hill Climbing on Value Estimates for Search-control in Dyna
Yangchen Pan, Hengshuai Yao, Amir-massoud Farahmand, Martha White
Indirect Trust is Simple to Establish
Elham Parhizkar, Mohammad Hossein Nikravan, Sandra Zilles
Exploiting Interaction Links for Node Classification with Deep Graph Neural Networks
Hogun Park, Jennifer Neville
Improving Cross-lingual Entity Alignment via Optimal Transport
Shichao Pei, Lu Yu, Xiangliang Zhang
Fine-grained Event Categorization with Heterogeneous Graph Convolutional Networks
Hao Peng, Jianxin Li, Qiran Gong, Yangqiu Song, Yuanxin Ning, Kunfeng Lai, Philip S. Yu
A Practical Semi-Parametric Contextual Bandit
Yi Peng, Miao Xie, Jiahao Liu, Xuying Meng, Nan Li, Cheng Yang, Tao Yao, Rong Jin
Graph Space Embedding
João Pereira, Albert K. Groen, Erik S. G. Stroes, Evgeni Levin
An Atari Model Zoo for Analyzing, Visualizing, and Comparing Deep Reinforcement Learning Agents
Felipe Petroski Such, Vashisht Madhavan, Rosanne Liu, Rui Wang, Pablo Samuel Castro, Yulun Li, Jiale Zhi, Ludwig Schubert, Marc G. Bellemare, Jeff Clune, Joel Lehman
Improving representation learning in autoencoders via multidimensional interpolation and dual regularizations
Sheng Qian, Guanyue Li, Wen-Ming Cao, Cheng Liu, Si Wu, Hau San Wong
Scalable Bayesian Non-linear Matrix Completion
Xiangju Qin, Paul Blomstedt, Samuel Kaski
Noise-Resilient Similarity Preserving Network Embedding for Social Networks
Zhenyu Qiu, Wenbin Hu, Jia Wu, ZhongZheng Tang, Xiaohua Jia
Fairwalk: Towards Fair Graph Embedding
Tahleen Rahman, Bartlomiej Surma, Michael Backes, Yang Zhang
Automated Machine Learning with Monte-Carlo Tree Search
Herilalaina Rakotoarison, Marc Schoenauer, Michèle Sebag
Successor Options: An Option Discovery Framework for Reinforcement Learning
Rahul Ramesh, Manan Tomar, Balaraman Ravindran
Unifying the Stochastic and the Adversarial Bandits with Knapsack
Anshuka Rangi, Massimo Franceschetti, Long Tran-Thanh
Label distribution learning with label-specific features
Tingting Ren, Xiuyi Jia, Weiwei Li, Lei Chen, Zechao Li
Label Distribution Learning with Label Correlations via Low-Rank Approximation
Tingting Ren, Xiuyi Jia, Weiwei Li, Shu Zhao
Closed-Loop Memory GAN for Continual Learning
Amanda Rios, Laurent Itti
Complementary Learning for Overcoming Catastrophic Forgetting Using Experience Replay
Mohammad Rostami, Soheil Kolouri, Praveen K. Pilly
Discovering Regularities from Traditional Chinese Medicine Prescriptions via Bipartite Embedding Model
Chunyang Ruan, Jiangang Ma, Ye Wang, Yanchun Zhang, Yun Yang
A Degeneracy Framework for Scalable Graph Autoencoders
Guillaume Salha, Romain Hennequin, Viet Anh Tran, Michalis Vazirgiannis
Deterministic Routing between Layout Abstractions for Multi-Scale Classification of Visually Rich Documents
Ritesh Sarkhel, Arnab Nandi
SynthNet: Learning to Synthesize Music End-to-End
Florin Schimbinschi, Christian Walder, Sarah M. Erfani, James Bailey
Weakly Supervised Multi-task Learning for Semantic Parsing
Bo Shao, Yeyun Gong, Junwei Bao, Jianshu Ji, Guihong Cao, Xiaola Lin, Nan Duan
Community Detection and Link Prediction via Cluster-driven Low-rank Matrix Completion
Junming Shao, Zhong Zhang, Zhongjing Yu, Jun Wang, Yi Zhao, Qinli Yang
On the Effectiveness of Low Frequency Perturbations
Yash Sharma, Gavin Weiguang Ding, Marcus A. Brubaker
A Part Power Set Model for Scale-Free Person Retrieval
Yunhang Shen, Rongrong Ji, Xiaopeng Hong, Feng Zheng, Xiaowei Guo, Yongjian Wu, Feiyue Huang
Rapid Performance Gain through Active Model Reuse
Feng Shi, Yu-Feng Li
A Convergence Analysis of Distributed SGD with Communication-Efficient Gradient Sparsification
Shaohuai Shi, Kaiyong Zhao, Qiang Wang, Zhenheng Tang, Xiaowen Chu
Quadruply Stochastic Gradients for Large Scale Nonlinear Semi-Supervised AUC Optimization
Wanli Shi, Bin Gu, Xiang Li, Xiang Geng, Heng Huang
Soft Policy Gradient Method for Maximum Entropy Deep Reinforcement Learning
Wenjie Shi, Shiji Song, Cheng Wu
Gradient Boosting with Piece-Wise Linear Regression Trees
Yu Shi, Jian Li, Zhize Li
The Pupil Has Become the Master: Teacher-Student Model-Based Word Embedding Distillation with Ensemble Learning
Bonggun Shin, Hao Yang, Jinho D. Choi
A Principled Approach for Learning Task Similarity in Multitask Learning
Changjian Shui, Mahdieh Abbasi, Louis-Émile Robitaille, Boyu Wang, Christian Gagné
Structure Learning for Safe Policy Improvement
Thiago D. Simão, Matthijs T. J. Spaan
Play and Prune: Adaptive Filter Pruning for Deep Model Compression
Pravendra Singh, Vinay Kumar Verma, Piyush Rai, Vinay P. Namboodiri
Solving Continual Combinatorial Selection via Deep Reinforcement Learning
Hyungseok Song, Hyeryung Jang, Hai H. Tran, Se-eun Yoon, Kyunghwan Son, Donggyu Yun, Hyoju Chung, Yung Yi
Playing FPS Games With Environment-Aware Hierarchical Reinforcement Learning
Shihong Song, Jiayi Weng, Hang Su, Dong Yan, Haosheng Zou, Jun Zhu
Parallel Wasserstein Generative Adversarial Nets with Multiple Discriminators
Yuxin Su, Shenglin Zhao, Xixian Chen, Irwin King, Michael Lyu
Finding Statistically Significant Interactions between Continuous Features
Mahito Sugiyama, Karsten Borgwardt
Fast and Robust Multi-View Multi-Task Learning via Group Sparsity
Lu Sun, Canh Hao Nguyen, Hiroshi Mamitsuka
Multiplicative Sparse Feature Decomposition for Efficient Multi-View Multi-Task Learning
Lu Sun, Canh Hao Nguyen, Hiroshi Mamitsuka
Adversarial Imitation Learning from Incomplete Demonstrations
Mingfei Sun, Xiaojuan Ma
Heavy-ball Algorithms Always Escape Saddle Points
Tao Sun, Dongsheng Li, Zhe Quan, Hao Jiang, Shengguo Li, Yong Dou
MEGAN: A Generative Adversarial Network for Multi-View Network Embedding
Yiwei Sun, Suhang Wang, Tsung-Yu Hsieh, Xianfeng Tang, Vasant Honavar
Metric Learning on Healthcare Data with Incomplete Modalities
Qiuling Suo, Weida Zhong, Fenglong Ma, Ye Yuan, Jing Gao, Aidong Zhang
HMLasso: Lasso with High Missing Rate
Masaaki Takada, Hironori Fujisawa, Takeichiro Nishikawa
Deeply-learned Hybrid Representations for Facial Age Estimation
Zichang Tan, Yang Yang, Jun Wan, Guodong Guo, Stan Z. Li
AugBoost: Gradient Boosting Enhanced with Step-Wise Feature Augmentation
Philip Tannor, Lior Rokach
Adversarial Graph Embedding for Ensemble Clustering
Zhiqiang Tao, Hongfu Liu, Jun Li, Zhaowen Wang, Yun Fu
Hierarchical Inter-Attention Network for Document Classification with Multi-Task Learning
Bing Tian, Yong Zhang, Jin Wang, Chunxiao Xing
Image Captioning with Compositional Neural Module Networks
Junjiao Tian, Jean Oh
Imitation Learning from Video by Leveraging Proprioception
Faraz Torabi, Garrett Warnell, Peter Stone
Exchangeability and Kernel Invariance in Trained MLPs
Russell Tsuchida, Fred Roosta, Marcus Gallagher
Deeper Connections between Neural Networks and Gaussian Processes Speed-up Active Learning
Evgenii Tsymbalov, Sergei Makarychev, Alexander Shapeev, Maxim Panov
Object Detection based Deep Unsupervised Hashing
Rong-Cheng Tu, Xian-Ling Mao, Bo-Si Feng, Shu-ying Yu
Ensemble-based Ultrahigh-dimensional Variable Screening
Wei Tu, Dong Yang, Linglong Kong, Menglu Che, Qian Shi, Guodong Li, Guangjian Tian
Learning to Interpret Satellite Images using Wikipedia
Burak Uzkent, Evan Sheehan, Chenlin Meng, Zhongyi Tang, Marshall Burke, David Lobell, Stefano Ermon
DeepCU: Integrating both Common and Unique Latent Information for Multimodal Sentiment Analysis
Sunny Verma, Chen Wang, Liming Zhu, Wei Liu
Interpolation Consistency Training for Semi-supervised Learning
Vikas Verma, Alex Lamb, Juho Kannala, Yoshua Bengio, David Lopez-Paz
Sharing Experience in Multitask Reinforcement Learning
Tung-Long Vuong, Do-Van Nguyen, Tai-Long Nguyen, Cong-Minh Bui, Hai-Dang Kieu, Viet-Cuong Ta, Quoc-Long Tran, Thanh-Ha Le
Planning with Expectation Models
Yi Wan, Muhammad Zaheer, Adam White, Martha White, Richard S. Sutton
Recurrent Existence Determination Through Policy Optimization
Baoxiang Wang
Boundary Perception Guidance: A Scribble-Supervised Semantic Segmentation Approach
Bin Wang, Guojun Qi, Sheng Tang, Tianzhu Zhang, Yunchao Wei, Linghui Li, Yongdong Zhang
Attributed Graph Clustering: A Deep Attentional Embedding Approach
Chun Wang, Shirui Pan, Ruiqi Hu, Guodong Long, Jing Jiang, Chengqi Zhang
Spectral Perturbation Meets Incomplete Multi-view Data
Hao Wang, Linlin Zong, Bing Liu, Yan Yang, Wei Zhou
Measuring Structural Similarities in Finite MDPs
Hao Wang, Shaokang Dong, Ling Shao
Discriminative and Correlative Partial Multi-Label Learning
Haobo Wang, Weiwei Liu, Yang Zhao, Chen Zhang, Tianlei Hu, Gang Chen
DMRAN:A Hierarchical Fine-Grained Attention-Based Network for Recommendation
Huizhao Wang, Guanfeng Liu, An Liu, Zhixu Li, Kai Zheng
CLVSA: A Convolutional LSTM Based Variational Sequence-to-Sequence Model with Attention for Predicting Trends of Financial Markets
Jia Wang, Tong Sun, Benyuan Liu, Yu Cao, Hongwei Zhu
Classification with Label Distribution Learning
Jing Wang, Xin Geng
Attributed Subspace Clustering
Jing Wang, Linchuan Xu, Feng Tian, Atsushi Suzuki, Changqing Zhang, Kenji Yamanishi
Deep Cascade Generation on Point Sets
Kaiqi Wang, Ke Chen, Kui Jia
Discrete Binary Coding based Label Distribution Learning
Ke Wang, Xin Geng
Differentially Private Iterative Gradient Hard Thresholding for Sparse Learning
Lingxiao Wang, Quanquan Gu
MUSICAL: Multi-Scale Image Contextual Attention Learning for Inpainting
Ning Wang, Jingyuan Li, Lefei Zhang, Bo Du
Partial Label Learning with Unlabeled Data
Qian-Wei Wang, Yu-Feng Li, Zhi-Hua Zhou
Heterogeneous Graph Matching Networks for Unknown Malware Detection
Shen Wang, Zhengzhang Chen, Xiao Yu, Ding Li, Jingchao Ni, Lu-An Tang, Jiaping Gui, Zhichun Li, Haifeng Chen, Philip S. Yu
Modeling Multi-Purpose Sessions for Next-Item Recommendations via Mixture-Channel Purpose Routing Networks
Shoujin Wang, Liang Hu, Yan Wang, Quan Z. Sheng, Mehmet Orgun, Longbing Cao
Multi-view Clustering via Late Fusion Alignment Maximization
Siwei Wang, Xinwang Liu, En Zhu, Chang Tang, Jiyuan Liu, Jingtao Hu, Jingyuan Xia, Jianping Yin
COP: Customized Deep Model Compression via Regularized Correlation-Based Filter-Level Pruning
Wenxiao Wang, Cong Fu, Jishun Guo, Deng Cai, Xiaofei He
Position Focused Attention Network for Image-Text Matching
Yaxiong Wang, Hao Yang, Xueming Qian, Lin Ma, Jing Lu, Biao Li, Xin Fan
Tag2Gauss: Learning Tag Representations via Gaussian Distribution in Tagged Networks
Yun Wang, Lun Du, Guojie Song, Xiaojun Ma, Lichen Jin, Wei Lin, Fei Sun
Weak Supervision Enhanced Generative Network for Question Generation
Yutong Wang, Jiyuan Zheng, Qijiong Liu, Zhou Zhao, Jun Xiao, Yueting Zhuang
Unified Embedding Model over Heterogeneous Information Network for Personalized Recommendation
Zekai Wang, Hongzhi Liu, Yingpeng Du, Zhonghai Wu, Xing Zhang
Interactive Reinforcement Learning with Dynamic Reuse of Prior Knowledge from Human and Agent Demonstrations
Zhaodong Wang, Matthew E. Taylor
Hierarchical Diffusion Attention Network
Zhitao Wang, Wenjie Li
Learning Multi-Objective Rewards and User Utility Function in Contextual Bandits for Personalized Ranking
Nirandika Wanigasekara, Yuxuan Liang, Siong Thye Goh, Ye Liu, Joseph Jay Williams, David S. Rosenblum
Learning for Tail Label Data: A Label-Specific Feature Approach
Tong Wei, Wei-Wei Tu, Yu-Feng Li
Bayesian Uncertainty Matching for Unsupervised Domain Adaptation
Jun Wen, Nenggan Zheng, Junsong Yuan, Zhefeng Gong, Changyou Chen
RobustTrend: A Huber Loss with a Combined First and Second Order Difference Regularization for Time Series Trend Filtering
Qingsong Wen, Jingkun Gao, Xiaomin Song, Liang Sun, Jian Tan
Neural News Recommendation with Attentive Multi-View Learning
Chuhan Wu, Fangzhao Wu, Mingxiao An, Jianqiang Huang, Yongfeng Huang, Xing Xie
PD-GAN: Adversarial Learning for Personalized Diversity-Promoting Recommendation
Qiong Wu, Yong Liu, Chunyan Miao, Binqiang Zhao, Yin Zhao, Lu Guan
Feature Evolution Based Multi-Task Learning for Collaborative Filtering with Social Trust
Qitian Wu, Lei Jiang, Xiaofeng Gao, Xiaochun Yang, Guihai Chen
Multi-View Multi-Label Learning with View-Specific Information Extraction
Xuan Wu, Qing-Guo Chen, Yao Hu, Dengbao Wang, Xiaodong Chang, Xiaobo Wang, Min-Ling Zhang
Trend-Aware Tensor Factorization for Job Skill Demand Analysis
Xunxian Wu, Tong Xu, Hengshu Zhu, Le Zhang, Enhong Chen, Hui Xiong
Graph Convolutional Networks on User Mobility Heterogeneous Graphs for Social Relationship Inference
Yongji Wu, Defu Lian, Shuowei Jin, Enhong Chen
BPAM: Recommendation Based on BP Neural Network with Attention Mechanism
Wu-Dong Xi, Ling Huang, Chang-Dong Wang, Yin-Yu Zheng, Jianhuang Lai
Incremental Few-Shot Learning for Pedestrian Attribute Recognition
Liuyu Xiang, Xiaoming Jin, Guiguang Ding, Jungong Han, Leida Li
Reparameterizable Subset Sampling via Continuous Relaxations
Sang Michael Xie, Stefano Ermon
CFM: Convolutional Factorization Machines for Context-Aware Recommendation
Xin Xin, Bo Chen, Xiangnan He, Dong Wang, Yue Ding, Joemon Jose
Adversarial Incomplete Multi-view Clustering
Cai Xu, Ziyu Guan, Wei Zhao, Hongchang Wu, Yunfei Niu, Beilei Ling
Graph Contextualized Self-Attention Network for Session-based Recommendation
Chengfeng Xu, Pengpeng Zhao, Yanchi Liu, Victor S. Sheng, Jiajie Xu, Fuzhen Zhuang, Junhua Fang, Xiaofang Zhou
Spatio-Temporal Attentive RNN for Node Classification in Temporal Attributed Graphs
Dongkuan Xu, Wei Cheng, Dongsheng Luo, Xiao Liu, Xiang Zhang
Learning a Generative Model for Fusing Infrared and Visible Images via Conditional Generative Adversarial Network with Dual Discriminators
Han Xu, Pengwei Liang, Wei Yu, Junjun Jiang, Jiayi Ma
Topology Attack and Defense for Graph Neural Networks: An Optimization Perspective
Kaidi Xu, Hongge Chen, Sijia Liu, Pin-Yu Chen, Tsui-Wei Weng, Mingyi Hong, Xue Lin
MR-GNN: Multi-Resolution and Dual Graph Neural Network for Predicting Structured Entity Interactions
Nuo Xu, Pinghui Wang, Long Chen, Jing Tao, Junzhou Zhao
Commit Message Generation for Source Code Changes
Shengbin Xu, Yuan Yao, Feng Xu, Tianxiao Gu, Hanghang Tong, Jian Lu
Latent Semantics Encoding for Label Distribution Learning
Suping Xu, Lin Shang, Furao Shen
Learning Image-Specific Attributes by Hyperbolic Neighborhood Graph Propagation
Xiaofeng Xu, Ivor W. Tsang, Xiaofeng Cao, Ruiheng Zhang, Chuancai Liu
Zero-shot Metric Learning
Xinyi Xu, Huanhuan Cao, Yanhua Yang, Erkun Yang, Cheng Deng
On the Convergence of (Stochastic) Gradient Descent with Extrapolation for Non-Convex Minimization
Yi Xu, Zhuoning Yuan, Sen Yang, Rong Jin, Tianbao Yang
Transfer of Temporal Logic Formulas in Reinforcement Learning
Zhe Xu, Ufuk Topcu
Deep Spectral Kernel Learning
Hui Xue, Zheng-Fan Wu, Wei-Xiang Sun
Deep Correlated Predictive Subspace Learning for Incomplete Multi-View Semi-Supervised Classification
Zhe Xue, Junping Du, Dawei Du, Wenqi Ren, Siwei Lyu
Multi-scale Information Diffusion Prediction with Reinforced Recurrent Networks
Cheng Yang, Jian Tang, Maosong Sun, Ganqu Cui, Zhiyuan Liu
Learning Strictly Orthogonal p-Order Nonnegative Laplacian Embedding via Smoothed Iterative Reweighted Method
Haoxuan Yang, Kai Liu, Hua Wang, Feiping Nie
Low-Bit Quantization for Attributed Network Representation Learning
Hong Yang, Shirui Pan, Ling Chen, Chuan Zhou, Peng Zhang
Topology Optimization based Graph Convolutional Network
Liang Yang, Zesheng Kang, Xiaochun Cao, Di Jin, Bo Yang, Yuanfang Guo
Dual Self-Paced Graph Convolutional Network: Towards Reducing Attribute Distortions Induced by Topology
Liang Yang, Zhiyang Chen, Junhua Gu, Yuanfang Guo
Masked Graph Convolutional Network
Liang Yang, Fan Wu, Yingkui Wang, Junhua Gu, Yuanfang Guo
Deep Multi-Task Learning with Adversarial-and-Cooperative Nets
Pei Yang, Qi Tan, Jieping Ye, Hanghang Tong, Jingrui He
Legal Judgment Prediction via Multi-Perspective Bi-Feedback Network
Wenmian Yang, Weijia Jia, Xiaojie Zhou, Yutao Luo
Comprehensive Semi-Supervised Multi-Modal Learning
Yang Yang, Ke-Tao Wang, De-Chuan Zhan, Hui Xiong, Yuan Jiang
SPAGAN: Shortest Path Graph Attention Network
Yiding Yang, Xinchao Wang, Mingli Song, Junsong Yuan, Dacheng Tao
On the Estimation of Treatment Effect with Text Covariates
Liuyi Yao, Sheng Li, Yaliang Li, Hongfei Xue, Jing Gao, Aidong Zhang
Privacy-Preserving Stacking with Application to Cross-organizational Diabetes Prediction
Quanming Yao, Xiawei Guo, James Kwok, Weiwei Tu, Yuqiang Chen, Wenyuan Dai, Qiang Yang
Multi-View Multiple Clustering
Shixin Yao, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang
Amalgamating Filtered Knowledge: Learning Task-customized Student from Multi-task Teachers
Jingwen Ye, Xinchao Wang, Yixin Ji, Kairi Ou, Mingli Song
A Vectorized Relational Graph Convolutional Network for Multi-Relational Network Alignment
Rui Ye, Xin Li, Yujie Fang, Hongyu Zang, Mingzhong Wang
Distributed Collaborative Feature Selection Based on Intermediate Representation
Xiucai Ye, Hongmin Li, Akira Imakura, Tetsuya Sakurai
Out-of-sample Node Representation Learning for Heterogeneous Graph in Real-time Android Malware Detection
Yanfang Ye, Shifu Hou, Lingwei Chen, Jingwei Lei, Wenqiang Wan, Jiabin Wang, Qi Xiong, Fudong Shao
Neural Network based Continuous Conditional Random Field for Fine-grained Crime Prediction
Fei Yi, Zhiwen Yu, Fuzhen Zhuang, Bin Guo
BN-invariant Sharpness Regularizes the Training Model to Better Generalization
Mingyang Yi, Huishuai Zhang, Wei Chen, Zhi-Ming Ma, Tie-Yan Liu
Geometric Understanding for Unsupervised Subspace Learning
Shihui Ying, Lipeng Cai, Changzhou He, Yaxin Peng
Belief Propagation Network for Hard Inductive Semi-Supervised Learning
Jaemin Yoo, Hyunsik Jeon, U Kang
Metatrace Actor-Critic: Online Step-Size Tuning by Meta-gradient Descent for Reinforcement Learning Control
Kenny Young, Baoxiang Wang, Matthew E. Taylor
Semi-supervised Three-dimensional Reconstruction Framework with GAN
Chong Yu
Interpreting and Evaluating Neural Network Robustness
Fuxun Yu, Zhuwei Qin, Chenchen Liu, Liang Zhao, Yanzhi Wang, Xiang Chen
VAEGAN: A Collaborative Filtering Framework based on Adversarial Variational Autoencoders
Xianwen Yu, Xiaoning Zhang, Yang Cao, Min Xia
Adaptive User Modeling with Long and Short-Term Preferences for Personalized Recommendation
Zeping Yu, Jianxun Lian, Ahmad Mahmoody, Gongshen Liu, Xing Xie
Progressive Transfer Learning for Person Re-identification
Zhengxu Yu, Zhongming Jin, Long Wei, Jishun Guo, Jianqiang Huang, Deng Cai, Xiaofei He, Xian-Sheng Hua
DARec: Deep Domain Adaptation for Cross-Domain Recommendation via Transferring Rating Patterns
Feng Yuan, Lina Yao, Boualem Benatallah
KCNN: Kernel-wise Quantization to Remarkably Decrease Multiplications in Convolutional Neural Network
Linghua Zeng, Zhangcheng Wang, Xinmei Tian
Experience Replay Optimization
Daochen Zha, Kwei-Herng Lai, Kaixiong Zhou, Xia Hu
Positive and Unlabeled Learning with Label Disambiguation
Chuang Zhang, Dexin Ren, Tongliang Liu, Jian Yang, Chen Gong
Generalized Majorization-Minimization for Non-Convex Optimization
Hu Zhang, Pan Zhou, Yi Yang, Jiashi Feng
STAR-GCN: Stacked and Reconstructed Graph Convolutional Networks for Recommender Systems
Jiani Zhang, Xingjian Shi, Shenglin Zhao, Irwin King
Light-Weight Hybrid Convolutional Network for Liver Tumor Segmentation
Jianpeng Zhang, Yutong Xie, Pingping Zhang, Hao Chen, Yong Xia, Chunhua Shen
ProNE: Fast and Scalable Network Representation Learning
Jie Zhang, Yuxiao Dong, Yan Wang, Jie Tang, Ming Ding
Towards Robust ResNet: A Small Step but a Giant Leap
Jingfeng Zhang, Bo Han, Laura Wynter, Bryan Kian Hsiang Low, Mohan Kankanhalli
High Dimensional Bayesian Optimization via Supervised Dimension Reduction
Miao Zhang, Huiqi Li, Steven Su
Efficient Non-parametric Bayesian Hawkes Processes
Rui Zhang, Christian Walder, Marian-Andrei Rizoiu, Lexing Xie
Inferring Substitutable Products with Deep Network Embedding
Shijie Zhang, Hongzhi Yin, Qinyong Wang, Tong Chen, Hongxu Chen, Quoc Viet Hung Nguyen
Quaternion Collaborative Filtering for Recommendation
Shuai Zhang, Lina Yao, Lucas Vinh Tran, Aston Zhang, Yi Tay
Feature-level Deeper Self-Attention Network for Sequential Recommendation
Tingting Zhang, Pengpeng Zhao, Yanchi Liu, Victor S. Sheng, Jiajie Xu, Deqing Wang, Guanfeng Liu, Xiaofang Zhou
Attributed Graph Clustering via Adaptive Graph Convolution
Xiaotong Zhang, Han Liu, Qimai Li, Xiao-Ming Wu
InteractionNN: A Neural Network for Learning Hidden Features in Sparse Prediction
Xiaowang Zhang, Qiang Gao, Zhiyong Feng
Multi-Group Encoder-Decoder Networks to Fuse Heterogeneous Data for Next-Day Air Quality Prediction
Yawen Zhang, Qin Lv, Duanfeng Gao, Si Shen, Robert Dick, Michael Hannigan, Qi Liu
Taming the Noisy Gradient: Train Deep Neural Networks with Small Batch Sizes
Yikai Zhang, Hui Qu, Chao Chen, Dimitris Metaxas
Accelerated Inference Framework of Sparse Neural Network Based on Nested Bitmask Structure
Yipeng Zhang, Bo Du, Lefei Zhang, Rongchun Li, Yong Dou
DANE: Domain Adaptive Network Embedding
Yizhou Zhang, Guojie Song, Lun Du, Shuwen Yang, Yilun Jin
ATTAIN: Attention-based Time-Aware LSTM Networks for Disease Progression Modeling
Yuan Zhang, Xi Yang, Julie Ivy, Min Chi
Scalable Block-Diagonal Locality-Constrained Projective Dictionary Learning
Zhao Zhang, Weiming Jiang, Zheng Zhang, Sheng Li, Guangcan Liu, Jie Qin
Open-Ended Long-Form Video Question Answering via Hierarchical Convolutional Self-Attention Networks
Zhu Zhang, Zhou Zhao, Zhijie Lin, Jingkuan Song, Xiaofei He
Localizing Unseen Activities in Video via Image Query
Zhu Zhang, Zhou Zhao, Zhijie Lin, Jingkuan Song, Deng Cai
Multi-Prototype Networks for Unconstrained Set-based Face Recognition
Jian Zhao, Jianshu Li, Xiaoguang Tu, Fang Zhao, Yuan Xin, Junliang Xing, Hengzhu Liu, Shuicheng Yan, Jiashi Feng
GAN-EM: GAN Based EM Learning Framework
Wentian Zhao, Shaojie Wang, Zhihuai Xie, Jing Shi, Chenliang Xu
Large Scale Evolving Graphs with Burst Detection
Yifeng Zhao, Xiangwei Wang, Hongxia Yang, Le Song, Jie Tang
AddGraph: Anomaly Detection in Dynamic Graph Using Attention-based Temporal GCN
Li Zheng, Zhenpeng Li, Jian Li, Zhao Li, Jun Gao
Metadata-driven Task Relation Discovery for Multi-task Learning
Zimu Zheng, Yuqi Wang, Quanyu Dai, Huadi Zheng, Dan Wang
BeatGAN: Anomalous Rhythm Detection using Adversarially Generated Time Series
Bin Zhou, Shenghua Liu, Bryan Hooi, Xueqi Cheng, Jing Ye
Latent Distribution Preserving Deep Subspace Clustering
Lei Zhou, Xiao Bai, Dong Wang, Xianglong Liu, Jun Zhou, Edwin Hancock
Reinforcement Learning Experience Reuse with Policy Residual Representation
WenJi Zhou, Yang Yu, Yingfeng Chen, Kai Guan, Tangjie Lv, Changjie Fan, Zhi-Hua Zhou
Collaborative Metric Learning with Memory Network for Multi-Relational Recommender Systems
Xiao Zhou, Danyang Liu, Jianxun Lian, Xing Xie
One-Shot Texture Retrieval with Global Context Metric
Kai Zhu, Wei Zhai, Zheng-Jun Zha, Yang Cao
HDI-Forest: Highest Density Interval Regression Forest
Lin Zhu, Jiaxing Lu, Yihong Chen
Prediction of Mild Cognitive Impairment Conversion Using Auxiliary Information
Xiaofeng Zhu
Simultaneous Representation Learning and Clustering for Incomplete Multi-view Data
Wenzhang Zhuge, Chenping Hou, Xinwang Liu, Hong Tao, Dongyun Yi
Persistence Bag-of-Words for Topological Data Analysis
Bartosz Zieliński, Michał Lipiński, Mateusz Juda, Matthias Zeppelzauer, Paweł Dłotko
Exploiting the Sign of the Advantage Function to Learn Deterministic Policies in Continuous Domains
Matthieu Zimmer, Paul Weng
Machine Learning Applications
Predicting the Visual Focus of Attention in Multi-Person Discussion Videos
Chongyang Bai, Srijan Kumar, Jure Leskovec, Miriam Metzger, Jay F. Nunamaker, V. S. Subrahmanian
A Quantum-inspired Classical Algorithm for Separable Non-negative Matrix Factorization
Zhihuai Chen, Yinan Li, Xiaoming Sun, Pei Yuan, Jialin Zhang
MLRDA: A Multi-Task Semi-Supervised Learning Framework for Drug-Drug Interaction Prediction
Xu Chu, Yang Lin, Yasha Wang, Leye Wang, Jiangtao Wang, Jingyue Gao
Combining ADMM and the Augmented Lagrangian Method for Efficiently Handling Many Constraints
Joachim Giesen, Soeren Laue
Playing Card-Based RTS Games with Deep Reinforcement Learning
Tianyu Liu, Zijie Zheng, Hongchang Li, Kaigui Bian, Lingyang Song
FSM: A Fast Similarity Measurement for Gene Regulatory Networks via Genes' Influence Power
Zhongzhou Liu, Wenbin Hu
Pseudo Supervised Matrix Factorization in Discriminative Subspace
Jiaqi Ma, Yipeng Zhang, Lefei Zhang, Bo Du, Dapeng Tao
Representation Learning-Assisted Click-Through Rate Prediction
Wentao Ouyang, Xiuwu Zhang, Shukui Ren, Chao Qi, Zhaojie Liu, Yanlong Du
Dynamic Electronic Toll Collection via Multi-Agent Deep Reinforcement Learning with Edge-Based Graph Convolutional Networks
Wei Qiu, Haipeng Chen, Bo An
FireCast: Leveraging Deep Learning to Predict Wildfire Spread
David Radke, Anna Hessler, Dan Ellsworth
Faster Distributed Deep Net Training: Computation and Communication Decoupled Stochastic Gradient Descent
Shuheng Shen, Linli Xu, Jingchang Liu, Xianfeng Liang, Yifei Cheng
Randomized Adversarial Imitation Learning for Autonomous Driving
MyungJae Shin, Joongheon Kim
Scaling Fine-grained Modularity Clustering for Massive Graphs
Hiroaki Shiokawa, Toshiyuki Amagasa, Hiroyuki Kitagawa
Node Embedding over Temporal Graphs
Uriel Singer, Ido Guy, Kira Radinsky
Medical Concept Embedding with Multiple Ontological Representations
Lihong Song, Chin Wang Cheong, Kejing Yin, William K. Cheung, Benjamin C. M. Fung, Jonathan Poon
Learning Shared Vertex Representation in Heterogeneous Graphs with Convolutional Networks for Recommendation
Yanan Xu, Yanmin Zhu, Yanyan Shen, Jiadi Yu
Dual-Path in Dual-Path Network for Single Image Dehazing
Aiping Yang, Haixin Wang, Zhong Ji, Yanwei Pang, Ling Shao
Disparity-preserved Deep Cross-platform Association for Cross-platform Video Recommendation
Shengze Yu, Xin Wang, Wenwu Zhu, Peng Cui, Jingdong Wang
Multidisciplinary Topics and Applications
Predicting dominance in multi-person videos
Chongyang Bai, Maksim Bolonkin, Srijan Kumar, Jure Leskovec, Judee Burgoon, Norah Dunbar, V. S. Subrahmanian
Procedural Generation of Initial States of Sokoban
Dâmaris S. Bento, André G. Pereira, Levi H. S. Lelis
DeepInspect: A Black-box Trojan Detection and Mitigation Framework for Deep Neural Networks
Huili Chen, Cheng Fu, Jishen Zhao, Farinaz Koushanfar
VulSniper: Focus Your Attention to Shoot Fine-Grained Vulnerabilities
Xu Duan, Jingzheng Wu, Shouling Ji, Zhiqing Rui, Tianyue Luo, Mutian Yang, Yanjun Wu
Real-Time Adversarial Attacks
Yuan Gong, Boyang Li, Christian Poellabauer, Yiyu Shi
Explainable Fashion Recommendation: A Semantic Attribute Region Guided Approach
Min Hou, Le Wu, Enhong Chen, Zhi Li, Vincent W. Zheng, Qi Liu
Model-Agnostic Adversarial Detection by Random Perturbations
Bo Huang, Yi Wang, Wei Wang
Musical Composition Style Transfer via Disentangled Timbre Representations
Yun-Ning Hung, I-Tung Chiang, Yi-An Chen, Yi-Hsuan Yang
Multiple Policy Value Monte Carlo Tree Search
Li-Cheng Lan, Wei Li, Ting-Han Wei, I-Chen Wu
Robustra: Training Provable Robust Neural Networks over Reference Adversarial Space
Linyi Li, Zexuan Zhong, Bo Li, Tao Xie
Dilated Convolution with Dilated GRU for Music Source Separation
Jen-Yu Liu, Yi-Hsuan Yang
Locate-Then-Detect: Real-time Web Attack Detection via Attention-based Deep Neural Networks
Tianlong Liu, Yu Qi, Liang Shi, Jianan Yan
Data Poisoning against Differentially-Private Learners: Attacks and Defenses
Yuzhe Ma, Xiaojin Zhu, Justin Hsu
LogAnomaly: Unsupervised Detection of Sequential and Quantitative Anomalies in Unstructured Logs
Weibin Meng, Ying Liu, Yichen Zhu, Shenglin Zhang, Dan Pei, Yuqing Liu, Yihao Chen, Ruizhi Zhang, Shimin Tao, Pei Sun, Rong Zhou
Decidability of Model Checking Multi-Agent Systems with Regular Expressions against Epistemic HS Specifications
Jakub Michaliszyn, Piotr Witkowski
Heterogeneous Gaussian Mechanism: Preserving Differential Privacy in Deep Learning with Provable Robustness
NhatHai Phan, Minh N. Vu, Yang Liu, Ruoming Jin, Dejing Dou, Xintao Wu, My T. Thai
Demystifying the Combination of Dynamic Slicing and Spectrum-based Fault Localization
Sofia Reis, Rui Abreu, Marcelo d'Amorim
Equally-Guided Discriminative Hashing for Cross-modal Retrieval
Yufeng Shi, Xinge You, Feng Zheng, Shuo Wang, Qinmu Peng
A Privacy Preserving Collusion Secure DCOP Algorithm
Tamir Tassa, Tal Grinshpoun, Avishai Yanay
Two-Stage Generative Models of Simulating Training Data at The Voxel Level for Large-Scale Microscopy Bioimage Segmentation
Deli Wang, Ting Zhao, Nenggan Zheng, Zhefeng Gong
Lower Bound of Locally Differentially Private Sparse Covariance Matrix Estimation
Di Wang, Jinhui Xu
Principal Component Analysis in the Local Differential Privacy Model
Di Wang, Jinhui Xu
Binarized Collaborative Filtering with Distilling Graph Convolutional Network
Haoyu Wang, Defu Lian, Yong Ge
Novel Collaborative Filtering Recommender Friendly to Privacy Protection
Jun Wang, Qiang Tang, Afonso Arriaga, Peter Y. A. Ryan
Adversarial Examples for Graph Data: Deep Insights into Attack and Defense
Huijun Wu, Chen Wang, Yuriy Tyshetskiy, Andrew Docherty, Kai Lu, Liming Zhu
FABA: An Algorithm for Fast Aggregation against Byzantine Attacks in Distributed Neural Networks
Qi Xia, Zeyi Tao, Zijiang Hao, Qun Li
BAYHENN: Combining Bayesian Deep Learning and Homomorphic Encryption for Secure DNN Inference
Peichen Xie, Bingzhe Wu, Guangyu Sun
Toward Efficient Navigation of Massive-Scale Geo-Textual Streams
Chengcheng Yang, Lisi Chen, Shuo Shang, Fan Zhu, Li Liu, Ling Shao
Temporal Pyramid Pooling Convolutional Neural Network for Cover Song Identification
Zhesong Yu, Xiaoshuo Xu, Xiaoou Chen, Deshun Yang
Data Poisoning Attack against Knowledge Graph Embedding
Hengtong Zhang, Tianhang Zheng, Jing Gao, Chenglin Miao, Lu Su, Yaliang Li, Kui Ren
On Privacy Protection of Latent Dirichlet Allocation Model Training
Fangyuan Zhao, Xuebin Ren, Shusen Yang, Xinyu Yang
K-Core Maximization: An Edge Addition Approach
Zhongxin Zhou, Fan Zhang, Xuemin Lin, Wenjie Zhang, Chen Chen
Pivotal Relationship Identification: The K-Truss Minimization Problem
Weijie Zhu, Mengqi Zhang, Chen Chen, Xiaoyang Wang, Fan Zhang, Xuemin Lin
Natural Language Processing
Early Discovery of Emerging Entities in Microblogs
Satoshi Akasaki, Naoki Yoshinaga, Masashi Toyoda
Neural Program Induction for KBQA Without Gold Programs or Query Annotations
Ghulam Ahmed Ansari, Amrita Saha, Vishwajeet Kumar, Mohan Bhambhani, Karthik Sankaranarayanan, Soumen Chakrabarti
Medical Concept Representation Learning from Multi-source Data
Tian Bai, Brian L. Egleston, Richard Bleicher, Slobodan Vucetic
Multi-Domain Sentiment Classification Based on Domain-Aware Embedding and Attention
Yitao Cai, Xiaojun Wan
A Latent Variable Model for Learning Distributional Relation Vectors
Jose Camacho-Collados, Luis Espinosa-Anke, Shoaib Jameel, Steven Schockaert
Generating Multiple Diverse Responses with Multi-Mapping and Posterior Mapping Selection
Chaotao Chen, Jinhua Peng, Fan Wang, Jun Xu, Hua Wu
Sentiment-Controllable Chinese Poetry Generation
Huimin Chen, Xiaoyuan Yi, Maosong Sun, Wenhao Li, Cheng Yang, Zhipeng Guo
From Words to Sentences: A Progressive Learning Approach for Zero-resource Machine Translation with Visual Pivots
Shizhe Chen, Qin Jin, Jianlong Fu
Learning towards Abstractive Timeline Summarization
Xiuying Chen, Zhangming Chan, Shen Gao, Meng-Hsuan Yu, Dongyan Zhao, Rui Yan
Coreference Aware Representation Learning for Neural Named Entity Recognition
Zeyu Dai, Hongliang Fei, Ping Li
Learning Assistance from an Adversarial Critic for Multi-Outputs Prediction
Yue Deng, Yilin Shen, Hongxia Jin
End-to-End Multi-Perspective Matching for Entity Resolution
Cheng Fu, Xianpei Han, Le Sun, Bo Chen, Wei Zhang, Suhui Wu, Hao Kong
Difficulty Controllable Generation of Reading Comprehension Questions
Yifan Gao, Lidong Bing, Wang Chen, Michael Lyu, Irwin King
Modeling Source Syntax and Semantics for Neural AMR Parsing
DongLai Ge, Junhui Li, Muhua Zhu, Shoushan Li
CNN-Based Chinese NER with Lexicon Rethinking
Tao Gui, Ruotian Ma, Qi Zhang, Lujun Zhao, Yu-Gang Jiang, Xuanjing Huang
Dual Visual Attention Network for Visual Dialog
Dan Guo, Hui Wang, Meng Wang
AmazonQA: A Review-Based Question Answering Task
Mansi Gupta, Nitish Kulkarni, Raghuveer Chanda, Anirudha Rayasam, Zachary C. Lipton
Answering Binary Causal Questions Through Large-Scale Text Mining: An Evaluation Using Cause-Effect Pairs from Human Experts
Oktie Hassanzadeh, Debarun Bhattacharjya, Mark Feblowitz, Kavitha Srinivas, Michael Perrone, Shirin Sohrabi, Michael Katz
GSN: A Graph-Structured Network for Multi-Party Dialogues
Wenpeng Hu, Zhangming Chan, Bing Liu, Dongyan Zhao, Jinwen Ma, Rui Yan
Leap-LSTM: Enhancing Long Short-Term Memory for Text Categorization
Ting Huang, Gehui Shen, Zhi-Hong Deng
Relation Extraction Using Supervision from Topic Knowledge of Relation Labels
Haiyun Jiang, Li Cui, Zhe Xu, Deqing Yang, Jindong Chen, Chenguang Li, Jingping Liu, Jiaqing Liang, Chao Wang, Yanghua Xiao, Wei Wang
Representation Learning with Weighted Inner Product for Universal Approximation of General Similarities
Geewook Kim, Akifumi Okuno, Kazuki Fukui, Hidetoshi Shimodaira
Incorporating Structural Information for Better Coreference Resolution
Fang Kong, Fu Jian
Knowledge Base Question Answering with Topic Units
Yunshi Lan, Shuohang Wang, Jing Jiang
Adversarial Transfer for Named Entity Boundary Detection with Pointer Networks
Jing Li, Deheng Ye, Shuo Shang
Towards Discriminative Representation Learning for Speech Emotion Recognition
Runnan Li, Zhiyong Wu, Jia Jia, Yaohua Bu, Sheng Zhao, Helen Meng
Self-attentive Biaffine Dependency Parsing
Ying Li, Zhenghua Li, Min Zhang, Rui Wang, Sheng Li, Luo Si
Reading selectively via Binary Input Gated Recurrent Unit
Zhe Li, Peisong Wang, Hanqing Lu, Jian Cheng
Learning to Select Knowledge for Response Generation in Dialog Systems
Rongzhong Lian, Min Xie, Fan Wang, Jinhua Peng, Hua Wu
Deep Mask Memory Network with Semantic Dependency and Context Moment for Aspect Level Sentiment Classification
Peiqin Lin, Meng Yang, Jianhuang Lai
Exploring and Distilling Cross-Modal Information for Image Captioning
Fenglin Liu, Xuancheng Ren, Yuanxin Liu, Kai Lei, Xu Sun
Network Embedding with Dual Generation Tasks
Jie Liu, Na Li, Zhicheng He
Building Personalized Simulator for Interactive Search
Qianlong Liu, Baoliang Cui, Zhongyu Wei, Baolin Peng, Haikuan Huang, Hongbo Deng, Jianye Hao, Xuanjing Huang, Kam-Fai Wong
A Dual Reinforcement Learning Framework for Unsupervised Text Style Transfer
Fuli Luo, Peng Li, Jie Zhou, Pengcheng Yang, Baobao Chang, Xu Sun, Zhifang Sui
Unsupervised Neural Aspect Extraction with Sememes
Ling Luo, Xiang Ao, Yan Song, Jinyao Li, Xiaopeng Yang, Qing He, Dong Yu
Randomized Greedy Search for Structured Prediction: Amortized Inference and Learning
Chao Ma, F A Rezaur Rahman Chowdhury, Aryan Deshwal, Md Rakibul Islam, Janardhan Rao Doppa, Dan Roth
Aspect-Based Sentiment Classification with Attentive Neural Turing Machines
Qianren Mao, Jianxin Li, Senzhang Wang, Yuanning Zhang, Hao Peng, Min He, Lihong Wang
Learning Task-Specific Representation for Novel Words in Sequence Labeling
Minlong Peng, Qi Zhang, Xiaoyu Xing, Tao Gui, Jinlan Fu, Xuanjing Huang
Improving Cross-Domain Performance for Relation Extraction via Dependency Prediction and Information Flow Control
Amir Pouran Ben Veyseh, Thien Nguyen, Dejing Dou
Learn to Select via Hierarchical Gate Mechanism for Aspect-Based Sentiment Analysis
Xiangying Ran, Yuanyuan Pan, Wei Sun, Chongjun Wang
Aligning Learning Outcomes to Learning Resources: A Lexico-Semantic Spatial Approach
Swarnadeep Saha, Malolan Chetlur, Tejas Indulal Dhamecha, W M Gayathri K Wijayarathna, Red Mendoza, Paul Gagnon, Nabil Zary, Shantanu Godbole
A Deep Generative Model for Code Switched Text
Bidisha Samanta, Sharmila Reddy, Hussain Jagirdar, Niloy Ganguly, Soumen Chakrabarti
Knowledge Aware Semantic Concept Expansion for Image-Text Matching
Botian Shi, Lei Ji, Pan Lu, Zhendong Niu, Nan Duan
Exploiting Persona Information for Diverse Generation of Conversational Responses
Haoyu Song, Wei-Nan Zhang, Yiming Cui, Dong Wang, Ting Liu
Cold-Start Aware Deep Memory Network for Multi-Entity Aspect-Based Sentiment Analysis
Kaisong Song, Wei Gao, Lujun Zhao, Jun Lin, Changlong Sun, Xiaozhong Liu
GANs for Semi-Supervised Opinion Spam Detection
Gray Stanton, Athirai A. Irissappane
PRoFET: Predicting the Risk of Firms from Event Transcripts
Christoph Kilian Theil, Samuel Broscheit, Heiner Stuckenschmidt
Unsupervised Embedding Enhancements of Knowledge Graphs using Textual Associations
Neil Veira, Brian Keng, Kanchana Padmanabhan, Andreas Veneris
Swell-and-Shrink: Decomposing Image Captioning by Transformation and Summarization
Hanzhang Wang, Hanli Wang, Kaisheng Xu
T-CVAE: Transformer-Based Conditioned Variational Autoencoder for Story Completion
Tianming Wang, Xiaojun Wan
Robust Embedding with Multi-Level Structures for Link Prediction
Zihan Wang, Zhaochun Ren, Chunyu He, Peng Zhang, Yue Hu
Revealing Semantic Structures of Texts: Multi-grained Framework for Automatic Mind-map Generation
Yang Wei, Honglei Guo, Jinmao Wei, Zhong Su
Correct-and-Memorize: Learning to Translate from Interactive Revisions
Rongxiang Weng, Hao Zhou, Shujian Huang, Lei Li, Yifan Xia, Jiajun Chen
Modeling Noisy Hierarchical Types in Fine-Grained Entity Typing: A Content-Based Weighting Approach
Junshuang Wu, Richong Zhang, Yongyi Mao, Hongyu Guo, Jinpeng Huai
Mask and Infill: Applying Masked Language Model for Sentiment Transfer
Xing Wu, Tao Zhang, Liangjun Zang, Jizhong Han, Songlin Hu
Relation-Aware Entity Alignment for Heterogeneous Knowledge Graphs
Yuting Wu, Xiao Liu, Yansong Feng, Zheng Wang, Rui Yan, Dongyan Zhao
RTHN: A RNN-Transformer Hierarchical Network for Emotion Cause Extraction
Rui Xia, Mengran Zhang, Zixiang Ding
Sharing Attention Weights for Fast Transformer
Tong Xiao, Yinqiao Li, Jingbo Zhu, Zhengtao Yu, Tongran Liu
A Goal-Driven Tree-Structured Neural Model for Math Word Problems
Zhipeng Xie, Shichao Sun
Dual-View Variational Autoencoders for Semi-Supervised Text Matching
Zhongbin Xie, Shuai Ma
Earlier Attention? Aspect-Aware LSTM for Aspect-Based Sentiment Analysis
Bowen Xing, Lejian Liao, Dandan Song, Jingang Wang, Fuzheng Zhang, Zhongyuan Wang, Heyan Huang
Polygon-Net: A General Framework for Jointly Boosting Multiple Unsupervised Neural Machine Translation Models
Chang Xu, Tao Qin, Gang Wang, Tie-Yan Liu
Neural Collective Entity Linking Based on Recurrent Random Walk Network Learning
Mengge Xue, Weiming Cai, Jinsong Su, Linfeng Song, Yubin Ge, Yubao Liu, Bin Wang
Robust Audio Adversarial Example for a Physical Attack
Hiromu Yakura, Jun Sakuma
HorNet: A Hierarchical Offshoot Recurrent Network for Improving Person Re-ID via Image Captioning
Shiyang Yan, Jun Xu, Yuai Liu, Lin Xu
Knowledge-enhanced Hierarchical Attention for Community Question Answering with Multi-task and Adaptive Learning
Min Yang, Lei Chen, Xiaojun Chen, Qingyao Wu, Wei Zhou, Ying Shen
Knowledgeable Storyteller: A Commonsense-Driven Generative Model for Visual Storytelling
Pengcheng Yang, Fuli Luo, Peng Chen, Lei Li, Zhiyi Yin, Xiaodong He, Xu Sun
Triplet Enhanced AutoEncoder: Model-free Discriminative Network Embedding
Yao Yang, Haoran Chen, Junming Shao
Improving Multilingual Sentence Embedding using Bi-directional Dual Encoder with Additive Margin Softmax
Yinfei Yang, Gustavo Hernandez Abrego, Steve Yuan, Mandy Guo, Qinlan Shen, Daniel Cer, Yun-hsuan Sung, Brian Strope, Ray Kurzweil
Utilizing Non-Parallel Text for Style Transfer by Making Partial Comparisons
Di Yin, Shujian Huang, Xin-Yu Dai, Jiajun Chen
Graph-based Neural Sentence Ordering
Yongjing Yin, Linfeng Song, Jinsong Su, Jiali Zeng, Chulun Zhou, Jiebo Luo
Refining Word Representations by Manifold Learning
Chu Yonghe, Hongfei Lin, Liang Yang, Yufeng Diao, Shaowu Zhang, Fan Xiaochao
Beyond Word Attention: Using Segment Attention in Neural Relation Extraction
Bowen Yu, Zhenyu Zhang, Tingwen Liu, Bin Wang, Sujian Li, Quangang Li
Adapting BERT for Target-Oriented Multimodal Sentiment Classification
Jianfei Yu, Jing Jiang
Modeling both Context- and Speaker-Sensitive Dependence for Emotion Detection in Multi-speaker Conversations
Dong Zhang, Liangqing Wu, Changlong Sun, Shoushan Li, Qiaoming Zhu, Guodong Zhou
Extracting Entities and Events as a Single Task Using a Transition-Based Neural Model
Junchi Zhang, Yanxia Qin, Yue Zhang, Mengchi Liu, Donghong Ji
Multi-view Knowledge Graph Embedding for Entity Alignment
Qingheng Zhang, Zequn Sun, Wei Hu, Muhao Chen, Lingbing Guo, Yuzhong Qu
Quantum-Inspired Interactive Networks for Conversational Sentiment Analysis
Yazhou Zhang, Qiuchi Li, Dawei Song, Peng Zhang, Panpan Wang
A Document-grounded Matching Network for Response Selection in Retrieval-based Chatbots
Xueliang Zhao, Chongyang Tao, Wei Wu, Can Xu, Dongyan Zhao, Rui Yan
Recurrent Neural Network for Text Classification with Hierarchical Multiscale Dense Connections
Yi Zhao, Yanyan Shen, Junjie Yao
RLTM: An Efficient Neural IR Framework for Long Documents
Chen Zheng, Yu Sun, Shengxian Wan, Dianhai Yu
Dynamically Route Hierarchical Structure Representation to Attentive Capsule for Text Classification
Wanshan Zheng, Zibin Zheng, Hai Wan, Chuan Chen
Sequence Generation: From Both Sides to the Middle
Long Zhou, Jiajun Zhang, Chengqing Zong, Heng Yu
Getting in Shape: Word Embedding SubSpaces
Tianyuan Zhou, João Sedoc, Jordan Rodu
A Span-based Joint Model for Opinion Target Extraction and Target Sentiment Classification
Yan Zhou, Longtao Huang, Tao Guo, Jizhong Han, Songlin Hu
Planning and Scheduling
Earliest-Completion Scheduling of Contract Algorithms with End Guarantees
Spyros Angelopoulos, Shendan Jin
Finding Optimal Solutions in HTN Planning - A SAT-based Approach
Gregor Behnke, Daniel Höller, Susanne Biundo
Faster Dynamic Controllability Checking in Temporal Networks with Integer Bounds
Nikhil Bhargava, Brian C. Williams
Regular Decision Processes: A Model for Non-Markovian Domains
Ronen I. Brafman, Giuseppe De Giacomo
Strong Fully Observable Non-Deterministic Planning with LTL and LTLf Goals
Alberto Camacho, Sheila A. McIlraith
Counterexample-Guided Strategy Improvement for POMDPs Using Recurrent Neural Networks
Steven Carr, Nils Jansen, Ralf Wimmer, Alexandru Serban, Bernd Becker, Ufuk Topcu
Influence of State-Variable Constraints on Partially Observable Monte Carlo Planning
Alberto Castellini, Georgios Chalkiadakis, Alessandro Farinelli
Online Probabilistic Goal Recognition over Nominal Models
Ramon Fraga Pereira, Mor Vered, Felipe Meneguzzi, Miquel Ramírez
Generalized Potential Heuristics for Classical Planning
Guillem Francès, Augusto B. Corrêa, Cedric Geissmann, Florian Pommerening
Subgoal-Based Temporal Abstraction in Monte-Carlo Tree Search
Thomas Gabor, Jan Peter, Thomy Phan, Christian Meyer, Claudia Linnhoff-Popien
Fair Online Allocation of Perishable Goods and its Application to Electric Vehicle Charging
Enrico H. Gerding, Alvaro Perez-Diaz, Haris Aziz, Serge Gaspers, Antonia Marcu, Nicholas Mattei, Toby Walsh
Dynamic logic of parallel propositional assignments and its applications to planning
Andreas Herzig, Frédéric Maris, Julien Vianey
Approximability of Constant-horizon Constrained POMDP
Majid Khonji, Ashkan Jasour, Brian Williams
Bayesian Inference of Linear Temporal Logic Specifications for Contrastive Explanations
Joseph Kim, Christian Muise, Ankit Shah, Shubham Agarwal, Julie Shah
Partitioning Techniques in LTLf Synthesis
Lucas Martinelli Tabajara, Moshe Y. Vardi
Adaptive Thompson Sampling Stacks for Memory Bounded Open-Loop Planning
Thomy Phan, Thomas Gabor, Robert Müller, Christoph Roch, Claudia Linnhoff-Popien
A Novel Distribution-Embedded Neural Network for Sensor-Based Activity Recognition
Hangwei Qian, Sinno Jialin Pan, Bingshui Da, Chunyan Miao
Pattern Selection for Optimal Classical Planning with Saturated Cost Partitioning
Jendrik Seipp
Scheduling Jobs with Stochastic Processing Time on Parallel Identical Machines
Richard Stec, Antonin Novak, Premysl Sucha, Zdenek Hanzalek
On Computational Complexity of Pickup-and-Delivery Problems with Precedence Constraints or Time Windows
Xing Tan, Jimmy Xiangji Huang
Merge-and-Shrink Task Reformulation for Classical Planning
Álvaro Torralba, Silvan Sievers
Steady-State Policy Synthesis for Verifiable Control
Alvaro Velasquez
Energy-Efficient Slithering Gait Exploration for a Snake-Like Robot Based on Reinforcement Learning
Zhenshan Bing, Christian Lemke, Zhuangyi Jiang, Kai Huang, Alois Knoll
The Parameterized Complexity of Motion Planning for Snake-Like Robots
Siddharth Gupta, Guy Sa'ar, Meirav Zehavi
Unsupervised Learning of Monocular Depth and Ego-Motion using Conditional PatchGANs
Madhu Vankadari, Swagat Kumar, Anima Majumder, Kaushik Das
Region Deformer Networks for Unsupervised Depth Estimation from Unconstrained Monocular Videos
Haofei Xu, Jianmin Zheng, Jianfei Cai, Juyong Zhang
Uncertainty in AI
Statistical Guarantees for the Robustness of Bayesian Neural Networks
Luca Cardelli, Marta Kwiatkowska, Luca Laurenti, Nicola Paoletti, Andrea Patane, Matthew Wicker
Lifted Message Passing for Hybrid Probabilistic Inference
Yuqiao Chen, Nicholas Ruozzi, Sriraam Natarajan
Bayesian Parameter Estimation for Nonlinear Dynamics Using Sensitivity Analysis
Yi Chou, Sriram Sankaranarayanan
Thompson Sampling on Symmetric Alpha-Stable Bandits
Abhimanyu Dubey, Alex `Sandy' Pentland
On Constrained Open-World Probabilistic Databases
Tal Friedman, Guy Van den Broeck
An End-to-End Community Detection Model: Integrating LDA into Markov Random Field via Factor Graph
Dongxiao He, Wenze Song, Di Jin, Zhiyong Feng, Yuxiao Huang
Exact Bernoulli Scan Statistics using Binary Decision Diagrams
Masakazu Ishihata, Takanori Maehara
Hyper-parameter Tuning under a Budget Constraint
Zhiyun Lu, Liyu Chen, Chao-Kai Chiang, Fei Sha
Cutset Bayesian Networks: A New Representation for Learning Rao-Blackwellised Graphical Models
Tahrima Rahman, Shasha Jin, Vibhav Gogate
Ranked Programming
Tjitze Rienstra
ISLF: Interest Shift and Latent Factors Combination Model for Session-based Recommendation
Jing Song, Hong Shen, Zijing Ou, Junyi Zhang, Teng Xiao, Shangsong Liang
DiffChaser: Detecting Disagreements for Deep Neural Networks
Xiaofei Xie, Lei Ma, Haijun Wang, Yuekang Li, Yang Liu, Xiaohong Li

AI for Improving Human Well-being

SparseSense: Human Activity Recognition from Highly Sparse Sensor Data-streams Using Set-based Neural Networks
Alireza Abedin, S. Hamid Rezatofighi, Qinfeng Shi, Damith C. Ranasinghe
Governance by Glass-Box: Implementing Transparent Moral Bounds for AI Behaviour
Andrea Aler Tubella, Andreas Theodorou, Frank Dignum, Virginia Dignum
Decision Making for Improving Maritime Traffic Safety Using Constraint Programming
Saumya Bhatnagar, Akshat Kumar, Hoong Chuin Lau
Evaluating the Interpretability of the Knowledge Compilation Map: Communicating Logical Statements Effectively
Serena Booth, Christian Muise, Julie Shah
AI-powered Posture Training: Application of Machine Learning in Sitting Posture Recognition Using the LifeChair Smart Cushion
Katia Bourahmoune, Toshiyuki Amagasa
Improving Law Enforcement Daily Deployment Through Machine Learning-Informed Optimization under Uncertainty
Jonathan Chase, Duc Thien Nguyen, Haiyang Sun, Hoong Chuin Lau
Risk Assessment for Networked-guarantee Loans Using High-order Graph Attention Representation
Dawei Cheng, Yi Tu, Zhenwei Ma, Zhibin Niu, Liqing Zhang
PI-Bully: Personalized Cyberbullying Detection with Peer Influence
Lu Cheng, Jundong Li, Yasin Silva, Deborah Hall, Huan Liu
The Price of Local Fairness in Multistage Selection
Vitalii Emelianov, George Arvanitakis, Nicolas Gast, Krishna Gummadi, Patrick Loiseau
Enhancing Stock Movement Prediction with Adversarial Training
Fuli Feng, Huimin Chen, Xiangnan He, Ji Ding, Maosong Sun, Tat-Seng Chua
Safe Contextual Bayesian Optimization for Sustainable Room Temperature PID Control Tuning
Marcello Fiducioso, Sebastian Curi, Benedikt Schumacher, Markus Gwerder, Andreas Krause
DDL: Deep Dictionary Learning for Predictive Phenotyping
Tianfan Fu, Trong Nghia Hoang, Cao Xiao, Jimeng Sun
Improving Customer Satisfaction in Bike Sharing Systems through Dynamic Repositioning
Supriyo Ghosh, Jing Yu Koh, Patrick Jaillet
mdfa: Multi-Differential Fairness Auditor for Black Box Classifiers
Xavier Gitiaux, Huzefa Rangwala
CounterFactual Regression with Importance Sampling Weights
Negar Hassanpour, Russell Greiner
MINA: Multilevel Knowledge-Guided Attention for Modeling Electrocardiography Signals
Shenda Hong, Cao Xiao, Tengfei Ma, Hongyan Li, Jimeng Sun
RDPD: Rich Data Helps Poor Data via Imitation
Shenda Hong, Cao Xiao, Trong Nghia Hoang, Tengfei Ma, Hongyan Li, Jimeng Sun
Systematic Conservation Planning for Sustainable Land-use Policies: A Constrained Partitioning Approach to Reserve Selection and Design.
Dimitri Justeau-Allaire, Philippe Vismara, Philippe Birnbaum, Xavier Lorca
Truly Batch Apprenticeship Learning with Deep Successor Features
Donghun Lee, Srivatsan Srinivasan, Finale Doshi-Velez
Scribble-to-Painting Transformation with Multi-Task Generative Adversarial Networks
Jinning Li, Yexiang Xue
Diversity-Inducing Policy Gradient: Using Maximum Mean Discrepancy to Find a Set of Diverse Policies
Muhammad Masood, Finale Doshi-Velez
KitcheNette: Predicting and Ranking Food Ingredient Pairings using Siamese Neural Network
Donghyeon Park, Keonwoo Kim, Yonggyu Park, Jungwoon Shin, Jaewoo Kang
MNN: Multimodal Attentional Neural Networks for Diagnosis Prediction
Zhi Qiao, Xian Wu, Shen Ge, Wei Fan
Global Robustness Evaluation of Deep Neural Networks with Provable Guarantees for the Hamming Distance
Wenjie Ruan, Min Wu, Youcheng Sun, Xiaowei Huang, Daniel Kroening, Marta Kwiatkowska
Pre-training of Graph Augmented Transformers for Medication Recommendation
Junyuan Shang, Tengfei Ma, Cao Xiao, Jimeng Sun
Three-quarter Sibling Regression for Denoising Observational Data
Shiv Shankar, Daniel Sheldon, Tao Sun, John Pickering, Thomas G. Dietterich
Daytime Sleepiness Level Prediction Using Respiratory Information
Kazuhiko Shinoda, Masahiko Yoshii, Hayato Yamaguchi, Hirotaka Kaji
Simultaneous Prediction Intervals for Patient-Specific Survival Curves
Samuel Sokota, Ryan D'Orazio, Khurram Javed, Humza Haider, Russell Greiner
Controllable Neural Story Plot Generation via Reward Shaping
Pradyumna Tambwekar, Murtaza Dhuliawala, Lara J. Martin, Animesh Mehta, Brent Harrison, Mark O. Riedl
Bidirectional Active Learning with Gold-Instance-Based Human Training
Feilong Tang
Group-Fairness in Influence Maximization
Alan Tsang, Bryan Wilder, Eric Rice, Milind Tambe, Yair Zick
Failure-Scenario Maker for Rule-Based Agent using Multi-agent Adversarial Reinforcement Learning and its Application to Autonomous Driving
Akifumi Wachi
Protecting Neural Networks with Hierarchical Random Switching: Towards Better Robustness-Accuracy Trade-off for Stochastic Defenses
Xiao Wang, Siyue Wang, Pin-Yu Chen, Yanzhi Wang, Brian Kulis, Xue Lin, Sang Chin
Who Should Pay the Cost: A Game-theoretic Model for Government Subsidized Investments to Improve National Cybersecurity
Xinrun Wang, Bo An, Hau Chan
Automatic Grassland Degradation Estimation Using Deep Learning
Xiyu Yan, Yong Jiang, Shuai Chen, Zihao He, Chunmei Li, Shu-Tao Xia, Tao Dai, Shuo Dong, Feng Zheng
Balanced Ranking with Diversity Constraints
Ke Yang, Vasilis Gkatzelis, Julia Stoyanovich
A Decomposition Approach for Urban Anomaly Detection Across Spatiotemporal Data
Mingyang Zhang, Tong Li, Hongzhi Shi, Yong Li, Pan Hui
Learning Interpretable Relational Structures of Hinge-loss Markov Random Fields
Yue Zhang, Arti Ramesh
K-margin-based Residual-Convolution-Recurrent Neural Network for Atrial Fibrillation Detection
Yuxi Zhou, Shenda Hong, Junyuan Shang, Meng Wu, Qingyun Wang, Hongyan Li, Junqing Xie

Understanding Intelligence and Human-level AI in the New Machine Learning era

LTL and Beyond: Formal Languages for Reward Function Specification in Reinforcement Learning
Alberto Camacho, Rodrigo Toro Icarte, Toryn Q. Klassen, Richard Valenzano, Sheila A. McIlraith
Playgol: Learning Programs Through Play
Andrew Cropper
Learning Relational Representations with Auto-encoding Logic Programs
Sebastijan Dumancic, Tias Guns, Wannes Meert, Hendrik Blockeel
A Comparative Study of Distributional and Symbolic Paradigms for Relational Learning
Sebastijan Dumancic, Alberto Garcia-Duran, Mathias Niepert
Learning Hierarchical Symbolic Representations to Support Interactive Task Learning and Knowledge Transfer
James R. Kirk, John E. Laird
EL Embeddings: Geometric Construction of Models for the Description Logic EL++
Maxat Kulmanov, Wang Liu-Wei, Yuan Yan, Robert Hoehndorf
How Well Do Machines Perform on IQ tests: a Comparison Study on a Large-Scale Dataset
Yusen Liu, Fangyuan He, Haodi Zhang, Guozheng Rao, Zhiyong Feng, Yi Zhou
Synthesizing Datalog Programs using Numerical Relaxation
Xujie Si, Mukund Raghothaman, Kihong Heo, Mayur Naik

Best Sister Conferences

A Refined Understanding of Cost-optimal Planning with Polytree Causal Graphs
Christer Bäckström, Peter Jonsson, Sebastian Ordyniak
Closed-World Semantics for Conjunctive Queries with Negation over ELH-bottom Ontologies
Stefan Borgwardt, Walter Forkel
Quality Control Attack Schemes in Crowdsourcing
Alessandro Checco, Jo Bates, Gianluca Demartini
Do We Need Many-valued Logics for Incomplete Information?
Marco Console, Paolo Guagliardo, Leonid Libkin
Addressing Age-Related Bias in Sentiment Analysis
Mark Díaz, Isaac Johnson, Amanda Lazar, Anne Marie Piper, Darren Gergle
Sharpness of the Satisfiability Threshold for Non-Uniform Random k-SAT
Tobias Friedrich, Ralf Rothenberger
A Dual Approach to Verify and Train Deep Networks
Sven Gowal, Krishnamurthy Dvijotham, Robert Stanforth, Timothy Mann, Pushmeet Kohli
The Provable Virtue of Laziness in Motion Planning
Nika Haghtalab, Simon Mackenzie, Ariel D. Procaccia, Oren Salzman, Siddhartha Srinivasa
Clause Learning and New Bounds for Graph Coloring
Emmanuel Hebrard, George Katsirelos
On Guiding Search in HTN Planning with Classical Planning Heuristics
Daniel Höller, Pascal Bercher, Gregor Behnke, Susanne Biundo
The Power of Context in Networks: Ideal Point Models with Social Interactions
Mohammad T. Irfan, Tucker Gordon
On Causal Identification under Markov Equivalence
Amin Jaber, Jiji Zhang, Elias Bareinboim
Meta-Interpretive Learning Using HEX-Programs
Tobias Kaminski, Thomas Eiter, Katsumi Inoue
A Walkthrough for the Principle of Logit Separation
Gil Keren, Sivan Sabato, Björn Schuller
Delayed Impact of Fair Machine Learning
Lydia T. Liu, Sarah Dean, Esther Rolf, Max Simchowitz, Moritz Hardt
Impact of Consuming Suggested Items on the Assessment of Recommendations in User Studies on Recommender Systems
Benedikt Loepp, Tim Donkers, Timm Kleemann, Jürgen Ziegler
Discovering Reliable Dependencies from Data: Hardness and Improved Algorithms
Panagiotis Mandros, Mario Boley, Jilles Vreeken
Not All FPRASs are Equal: Demystifying FPRASs for DNF-Counting (Extended Abstract)
Kuldeep S. Meel, Aditya A. Shrotri, Moshe Y. Vardi
Constraint Games for Stable and Optimal Allocation of Demands in SDN
Anthony Palmieri, Arnaud Lallouet, Luc Pons
Optimally Efficient Bidirectional Search
Eshed Shaham, Ariel Felner, Nathan R. Sturtevant, Jeffrey S. Rosenschein
Trust Dynamics and Transfer across Human-Robot Interaction Tasks: Bayesian and Neural Computational Models
Harold Soh, Shu Pan, Min Chen, David Hsu
Differentiable Physics and Stable Modes for Tool-Use and Manipulation Planning - Extended Abtract
Marc Toussaint, Kelsey R. Allen, Kevin A. Smith, Joshua B. Tenenbaum
Causal Embeddings for Recommendation: An Extended Abstract
Flavian Vasile, Stephen Bonner
Taskonomy: Disentangling Task Transfer Learning
Amir Zamir, Alexander Sax, William Shen, Leonidas Guibas, Jitendra Malik, Silvio Savarese
Adversarial Attacks on Neural Networks for Graph Data
Daniel Zügner, Amir Akbarnejad, Stephan Günnemann

Survey track

Integrating Knowledge and Reasoning in Image Understanding
Somak Aditya, Yezhou Yang, Chitta Baral
A Replication Study of Semantics in Argumentation
Leila Amgoud
A Survey on Hierarchical Planning – One Abstract Idea, Many Concrete Realizations
Pascal Bercher, Ron Alford, Daniel Höller
Counterfactuals in Explainable Artificial Intelligence (XAI): Evidence from Human Reasoning
Ruth M. J. Byrne
Deep Learning for Video Captioning: A Review
Shaoxiang Chen, Ting Yao, Yu-Gang Jiang
Learning and Inference for Structured Prediction: A Unifying Perspective
Aryan Deshwal, Janardhan Rao Doppa, Dan Roth
Automated Essay Scoring: A Survey of the State of the Art
Zixuan Ke, Vincent Ng
A Survey of Reinforcement Learning Informed by Natural Language
Jelena Luketina, Nantas Nardelli, Gregory Farquhar, Jakob Foerster, Jacob Andreas, Edward Grefenstette, Shimon Whiteson, Tim Rocktäschel
Social Media-based User Embedding: A Literature Review
Shimei Pan, Tao Ding
Recent Advances in Imitation Learning from Observation
Faraz Torabi, Garrett Warnell, Peter Stone
Sequential Recommender Systems: Challenges, Progress and Prospects
Shoujin Wang, Liang Hu, Yan Wang, Longbing Cao, Quan Z. Sheng, Mehmet Orgun
Leveraging Human Guidance for Deep Reinforcement Learning Tasks
Ruohan Zhang, Faraz Torabi, Lin Guan, Dana H. Ballard, Peter Stone

Journal track

Learning in the Machine: Random Backpropagation and the Deep Learning Channel (Extended Abstract)
Pierre Baldi, Peter Sadowski, Zhiqin Lu
Complexity Bounds for the Controllability of Temporal Networks with Conditions, Disjunctions, and Uncertainty (Extended Abstract)
Nikhil Bhargava, Brian C. Williams
A Core Method for the Weak Completion Semantics with Skeptical Abduction (Extended Abstract)
Emmanuelle-Anna Dietz Saldanha, Steffen Hölldobler, Carroline Dewi Puspa Kencana Ramli, Luis Palacios Medinacelli
Complexity of Fundamental Problems in Probabilistic Abstract Argumentation: Beyond Independence (Extended Abstract)
Bettina Fazzinga, Sergio Flesca, Filippo Furfaro
Shielded Base Contraction (Extended Abstract)
Marco Garapa, Eduardo Fermé, Maurício D. L. Reis
Implicitly Coordinated Multi-Agent Path Finding under Destination Uncertainty: Success Guarantees and Computational Complexity (Extended Abstract)
Bernhard Nebel, Thomas Bolander, Thorsten Engesser, Robert Mattmüller
Teaching AI Agents Ethical Values Using Reinforcement Learning and Policy Orchestration
Ritesh Noothigattu, Djallel Bouneffouf, Nicholas Mattei, Rachita Chandra, Piyush Madan, Kush R. Varshney, Murray Campbell, Moninder Singh, Francesca Rossi
On the Responsibility for Undecisiveness in Preferred and Stable Labellings in Abstract Argumentation (Extended Abstract)
Claudia Schulz, Francesca Toni

Early Career

The Quest For "Always-On" Autonomous Mobile Robots
Joydeep Biswas
Integrating Learning with Game Theory for Societal Challenges
Fei Fang
Multiagent Decision Making and Learning in Urban Environments
Akshat Kumar
From Data to Knowledge Engineering for Cybersecurity
Gerardo I. Simari
AI Planning for Enterprise: Putting Theory Into Practice
Shirin Sohrabi
Domain-Dependent and Domain-Independent Problem Solving Techniques
Roni Stern
What Does the Evidence Say? Models to Help Make Sense of the Biomedical Literature
Byron C. Wallace

Doctoral Consortium

Conditional Preference Network with Constraints and Uncertainty
Sultan Ahmed
Constraint Solving and Optimization Using Evolutionary Techniques
Mahdi Bidar, Malek Mouhoub
Visionary Security: Using Uncertain Real-Time Information in Signaling Games
Elizabeth Bondi
AI in Recruiting. Multi-agent Systems Architecture for Ethical and Legal Auditing
María del Carmen Fernández Martínez, Alberto Fernández
A Similarity Measurement Method Based on Graph Kernel for Disconnected Graphs
Jun Gao, Jianliang Gao
Finding Justifications by Approximating Core for Large-scale Ontologies
Mengyu Gao, Yuxin Ye, Dantong Ouyang, Bin Wang
Teaching Robots to Interact with Humans in a Smart Environment
Shivam Goel
Vision beyond Pixels: Visual Reasoning via Blocksworld Abstractions
Tejas Gokhale
A Unified Mathematical Approach for Foraging and Construction Systems in a 1,000,000 Robot Swarm
John Harwell
Can Meta-Interpretive Learning outperform Deep Reinforcement Learning of Evaluable Game strategies?
Céline Hocquette
Unsupervised Multi-view Learning
Ling Huang
Intelligent Agent for Assessing and Guiding Rehabilitation Exercises
Min Hun Lee
Optimizing Interactive Systems with Data-Driven Objectives
Ziming Li
Split Q Learning: Reinforcement Learning with Two-Stream Rewards
Baihan Lin, Djallel Bouneffouf, Guillermo Cecchi
Event Prediction in Complex Social Graphs using One-Dimensional Convolutional Neural Network
Bonaventure Molokwu
Towards Architecture-Agnostic Neural Transfer: a Knowledge-Enhanced Approach
Seán Quinn, Alessandra Mileo
Technical, Hard and Explainable Question Answering (THE-QA)
Shailaja Sampat
Preference Elicitation and Explanation in Iterative Planning
Lindsay Sanneman
Intelligent Querying in Camera Networks for Efficient Target Tracking
Anil Sharma
Safe and Sample-Efficient Reinforcement Learning Algorithms for Factored Environments
Thiago D. Simão
Deep Learning with Relational Logic Representations
Gustav Sourek
Matching with Constraints
Zhaohong Sun
Cautious Rule-Based Collective Inference
Martin Svatos
The Design of Human Oversight in Autonomous Weapon Systems
Ilse Verdiesen
A Compliance Checking Framework for DNN Models
Sunny Verma, Chen Wang, Liming Zhu, Wei Liu
Adversarial Machine Learning with Double Oracle
Kai Wang
AI at the Margins: Data, Decisions, and Inclusive Social Impact
Bryan Wilder
Self-Organizing Incremental Neural Networks for Continual Learning
Chayut Wiwatcharakoses, Daniel Berrar
Evolutionary Learning of Existential Rules
Lianlong Wu
Entity Alignment for Cross-lingual Knowledge Graph with Graph Convolutional Networks
Fan Xiong, Jianliang Gao
Personal Context Recognition via Skeptical Learning
Wanyi Zhang


OpenMarkov, an Open-Source Tool for Probabilistic Graphical Models
Manuel Arias, Jorge Pérez-Martín, Manuel Luque, Francisco J. Díez
Explainable Deep Neural Networks for Multivariate Time Series Predictions
Roy Assaf, Anika Schumann
Multi-Agent Path Finding on Ozobots
Roman Barták, Ivan Krasičenko, Jiří Švancara
Hintikka's World: Scalable Higher-order Knowledge
Tristan Charrier, Sébastien Gamblin, Alexandre Niveau, François Schwarzentruber
AntProphet: an Intention Mining System behind Alipay's Intelligent Customer Service Bot
Cen Chen, Xiaolu Zhang, Sheng Ju, Chilin Fu, Caizhi Tang, Jun Zhou, Xiaolong Li
Crowd View: Converting Investors' Opinions into Indicators
Chung-Chi Chen, Hen-Hsen Huang, Hsin-Hsi Chen
VEST: A System for Vulnerability Exploit Scoring & Timing
Haipeng Chen, Jing Liu, Rui Liu, Noseong Park, V. S. Subrahmanian
Demonstration of PerformanceNet: A Convolutional Neural Network Model for Score-to-Audio Music Generation
Yu-Hua Chen, Bryan Wang, Yi-Hsuan Yang
InterSpot: Interactive Spammer Detection in Social Media
Kaize Ding, Jundong Li, Shivam Dhar, Shreyash Devan, Huan Liu
Embodied Conversational AI Agents in a Multi-modal Multi-agent Competitive Dialogue
Rahul R. Divekar, Xiangyang Mou, Lisha Chen, Maíra Gatti de Bayser, Melina Alberio Guerra, Hui Su
A Mobile Application for Sound Event Detection
Yingwei Fu, Kele Xu, Haibo Mi, Huaimin Wang, Dezhi Wang, Boqing Zhu
The Open Vault Challenge - Learning How to Build Calibration-Free Interactive Systems by Cracking the Code of a Vault
Jonathan Grizou
Agent-based Decision Support for Pain Management in Primary Care Settings
Xu Guo, Han Yu, Chunyan Miao, Yiqiang Chen
DISPUTool -- A tool for the Argumentative Analysis of Political Debates
Shohreh Haddadan, Elena Cabrio, Serena Villata
Contextual Typeahead Sticker Suggestions on Hike Messenger
Mohamed Hanoosh, Abhishek Laddha, Debdoot Mukherjee
The pywmi Framework and Toolbox for Probabilistic Inference using Weighted Model Integration
Samuel Kolb, Paolo Morettin, Pedro Zuidberg Dos Martires, Francesco Sommavilla, Andrea Passerini, Roberto Sebastiani, Luc De Raedt
ERICA and WikiTalk
Divesh Lala, Graham Wilcock, Kristiina Jokinen, Tatsuya Kawahara
Design and Implementation of a Disambiguity Framework for Smart Voice Controlled Devices
Kehua Lei, Tianyi Ma, Jia Jia, Cunjun Zhang, Zhihan Yang
Neural Discourse Segmentation
Jing Li
CoTrRank: Trust Evaluation of Users and Tweets
Peiyao Li, Weiliang Zhao, Jian Yang, Jia Wu
Mappa Mundi: An Interactive Artistic Mind Map Generator with Artificial Imagination
Ruixue Liu, Baoyang Chen, Meng Chen, Youzheng Wu, Zhijie Qiu, Xiaodong He
CRSRL: Customer Routing System Using Reinforcement Learning
Chong Long, Zining Liu, Xiaolu Lu, Zehong Hu, Yafang Wang
ACTA A Tool for Argumentative Clinical Trial Analysis
Tobias Mayer, Elena Cabrio, Serena Villata
A Quantitative Analysis Platform for PD-L1 Immunohistochemistry based on Point-level Supervision Model
Haibo Mi, Kele Xu, Yang Xiang, Yulin He, Dawei Feng, Huaimin Wang, Chun Wu, Yanming Song, Xiaolei Sun
SAGE: A Hybrid Geopolitical Event Forecasting System
Fred Morstatter, Aram Galstyan, Gleb Satyukov, Daniel Benjamin, Andres Abeliuk, Mehrnoosh Mirtaheri, KSM Tozammel Hossain, Pedro Szekely, Emilio Ferrara, Akira Matsui, Mark Steyvers, Stephen Bennet, David Budescu, Mark Himmelstein, Michael Ward, Andreas Beger, Michele Catasta, Rok Sosic, Jure Leskovec, Pavel Atanasov, Regina Joseph, Rajiv Sethi, Ali Abbas
Reagent: Converting Ordinary Webpages into Interactive Software Agents
Matthew Peveler, Jeffrey O. Kephart, Hui Su
AiD-EM: Adaptive Decision Support for Electricity Markets Negotiations
Tiago Pinto, Zita Vale
Deep Reinforcement Learning for Ride-sharing Dispatching and Repositioning
Zhiwei (Tony) Qin, Xiaocheng Tang, Yan Jiao, Fan Zhang, Chenxi Wang, Qun (Tracy) Li
GraspSnooker: Automatic Chinese Commentary Generation for Snooker Videos
Zhaoyue Sun, Jiaze Chen, Hao Zhou, Deyu Zhou, Lei Li, Mingmin Jiang
Multi-Agent Visualization for Explaining Federated Learning
Xiguang Wei, Quan Li, Yang Liu, Han Yu, Tianjian Chen, Qiang Yang
Fair and Explainable Dynamic Engagement of Crowd Workers
Han Yu, Yang Liu, Xiguang Wei, Chuyu Zheng, Tianjian Chen, Qiang Yang, Xiong Peng
An Online Intelligent Visual Interaction System
Anxiang Zeng, Han Yu, Xin Gao, Kairi Ou, Zhenchuan Huang, Peng Hou, Mingli Song, Jingshu Zhang, Chunyan Miao
DeepRec: An Open-source Toolkit for Deep Learning based Recommendation
Shuai Zhang, Yi Tay, Lina Yao, Bin Wu, Aixin Sun
ATTENet: Detecting and Explaining Suspicious Tax Evasion Groups
Qinghua Zheng, Yating Lin, Huan He, Jianfei Ruan, Bo Dong
Intelligent Decision Support for Improving Power Management
Yongqing Zheng, Han Yu, Kun Zhang, Yuliang Shi, Cyril Leung, Chunyan Miao