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

Stockholm, 13-19 July 2018

Edited by Jérôme Lang

Sponsored by
International Joint Conferences on Artifical Intelligence (IJCAI)

Published by
International Joint Conferences on Artificial Intelligence

Copyright © 2018 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): 978-0-9992411-2-7



Invited Speakers

Language to Action: Towards Interactive Task Learning with Physical Agents
Joyce Y. Chai, Qiaozi Gao, Lanbo She, Shaohua Yang, Sari Saba-Sadiya, Guangyue Xu
Model-free, Model-based, and General Intelligence
Hector Geffner
Interactive, Collaborative Robots: Challenges and Opportunities
Danica Kragic, Joakim Gustafson, Hakan Karaoguz, Patric Jensfelt, Robert Krug

Main track

Agent-based and Multi-agent Systems
Robust Norm Emergence by Revealing and Reasoning about Context: Socially Intelligent Agents for Enhancing Privacy
Nirav Ajmeri, Hui Guo, Pradeep K. Murukannaiah, Munindar P. Singh
Synthesis of Controllable Nash Equilibria in Quantitative Objective Game
Shaull Almagor, Orna Kupferman, Giuseppe Perelli
Comparing Approximate Relaxations of Envy-Freeness
Georgios Amanatidis, Georgios Birmpas, Vangelis Markakis
Reasoning about Consensus when Opinions Diffuse through Majority Dynamics
Vincenzo Auletta, Diodato Ferraioli, Gianluigi Greco
Egalitarian Committee Scoring Rules
Haris Aziz, Piotr Faliszewski, Bernard Grofman, Arkadii Slinko, Nimrod Talmon
Truthful Fair Division without Free Disposal
Xiaohui Bei, Guangda Huzhang, Warut Suksompong
Accountable Approval Sorting
Khaled Belahcene, Yann Chevaleyre, Christophe Labreuche, Nicolas Maudet, Vincent Mousseau, Wassila Ouerdane
Alternating-time Temporal Logic on Finite Traces
Francesco Belardinelli, Alessio Lomuscio, Aniello Murano, Sasha Rubin
Managing Communication Costs under Temporal Uncertainty
Nikhil Bhargava, Christian Muise, Tiago Vaquero, Brian Williams
Fair Division Under Cardinality Constraints
Arpita Biswas, Siddharth Barman
Big City vs. the Great Outdoors: Voter Distribution and How It Affects Gerrymandering
Allan Borodin, Omer Lev, Nisarg Shah, Tyrone Strangway
Non-decreasing Payment Rules for Combinatorial Auctions
Vitor Bosshard, Ye Wang, Sven Seuken
An Analytical and Experimental Comparison of Maximal Lottery Schemes
Florian Brandl, Felix Brandt, Christian Stricker
Solving Patrolling Problems in the Internet Environment
Tomas Brazdil, Antonin Kucera, Vojtech Rehak
Combinatorial Auctions via Machine Learning-based Preference Elicitation
Gianluca Brero, Benjamin Lubin, Sven Seuken
Pairwise Liquid Democracy
Markus Brill, Nimrod Talmon
Multiwinner Voting with Fairness Constraints
L. Elisa Celis, Lingxiao Huang, Nisheeth K. Vishnoi
An FPTAS for Computing Nash Equilibrium in Resource Graph Games
Hau Chan, Albert Xin Jiang
Vocabulary Alignment for Collaborative Agents: a Study with Real-World Multilingual How-to Instructions
Paula Chocron, Paolo Pareti
Bidding in Periodic Double Auctions Using Heuristics and Dynamic Monte Carlo Tree Search
Moinul Morshed Porag Chowdhury, Christopher Kiekintveld, Son Tran, William Yeoh
When Does Diversity of Agent Preferences Improve Outcomes in Selfish Routing?
Richard Cole, Thanasis Lianeas, Evdokia Nikolova
Computing the Schulze Method for Large-Scale Preference Data Sets
Theresa Csar, Martin Lackner, Reinhard Pichler
Facility Reallocation on the Line
Bart de Keijzer, Dominik Wojtczak
An Operational Semantics for a Fragment of PRS
Lavindra de Silva, Felipe Meneguzzi, Brian Logan
A Structural Approach to Activity Selection
Eduard Eiben, Robert Ganian, Sebastian Ordyniak
Negotiation Strategies for Agents with Ordinal Preferences
Sefi Erlich, Noam Hazon, Sarit Kraus
Opinion Diffusion and Campaigning on Society Graphs
Piotr Faliszewski, Rica Gonen, Martin Koutecký, Nimrod Talmon
On the Complexity of Chore Division
Alireza Farhadi, MohammadTaghi Hajiaghayi
Trembling-Hand Perfection in Extensive-Form Games with Commitment
Gabriele Farina, Alberto Marchesi, Christian Kroer, Nicola Gatti, Tuomas Sandholm
Probabilistic Verification for Obviously Strategyproof Mechanisms
Diodato Ferraioli, Carmine Ventre
On Fair Price Discrimination in Multi-Unit Markets
Michele Flammini, Manuel Mauro, Matteo Tonelli
An Axiomatic View of the Parimutuel Consensus Mechanism
Rupert Freeman, David M. Pennock
Deep Learning for Multi-Facility Location Mechanism Design
Noah Golowich, Harikrishna Narasimhan, David C. Parkes
Balancing Two-Player Stochastic Games with Soft Q-Learning
Jordi Grau-Moya, Felix Leibfried, Haitham Bou-Ammar
When Rigging a Tournament, Let Greediness Blind You
Sushmita Gupta, Sanjukta Roy, Saket Saurabh, Meirav Zehavi
Winning a Tournament by Any Means Necessary
Sushmita Gupta, Sanjukta Roy, Saket Saurabh, Meirav Zehavi
Fostering Cooperation in Structured Populations Through Local and Global Interference Strategies
The Anh Han, Simon Lynch, Long Tran-Thanh, Francisco C. Santos
Payoff Control in the Iterated Prisoner's Dilemma
Dong Hao, Kai Li, Tao Zhou
Ceteris paribus majority for social ranking
Adrian Haret, Hossein Khani, Stefano Moretti, Meltem Öztürk
Computational Aspects of the Preference Cores of Supermodular Two-Scenario Cooperative Games
Daisuke Hatano, Yuichi Yoshida
Computational Social Choice Meets Databases
Benny Kimelfeld, Phokion G. Kolaitis, Julia Stoyanovich
Symbolic Synthesis of Fault-Tolerance Ratios in Parameterised Multi-Agent Systems
Panagiotis Kouvaros, Alessio Lomuscio, Edoardo Pirovano
Explaining Multi-Criteria Decision Aiding Models with an Extended Shapley Value
Christophe Labreuche, Simon Fossier
Approval-Based Multi-Winner Rules and Strategic Voting
Martin Lackner, Piotr Skowron
Combining Opinion Pooling and Evidential Updating for Multi-Agent Consensus
Chanelle Lee, Jonathan Lawry, Alan Winfield
Service Exchange Problem
Julien Lesca, Taiki Todo
Tractable (Simple) Contests
Priel Levy, David Sarne, Yonatan Aumann
Customer Sharing in Economic Networks with Costs
Bin Li, Dong Hao, Dengji Zhao, Tao Zhou
Dynamic Fair Division Problem with General Valuations
Bo Li, Wenyang Li, Yingkai Li
Integrating Demand Response and Renewable Energy In Wholesale Market
Chaojie Li, Chen Liu, Xinghuo Yu, Ke Deng, Tingwen Huang, Liangchen Liu
Equilibrium Behavior in Competing Dynamic Matching Markets
Zhuoshu Li, Neal Gupta, Sanmay Das, John P. Dickerson
What Game Are We Playing? End-to-end Learning in Normal and Extensive Form Games
Chun Kai Ling, Fei Fang, J. Zico Kolter
Verifying Emergence of Bounded Time Properties in Probabilistic Swarm Systems
Alessio Lomuscio, Edoardo Pirovano
Maximin Share Allocations on Cycles
Zbigniew Lonc, Miroslaw Truszczynski
Multi-Agent Path Finding with Deadlines
Hang Ma, Glenn Wagner, Ariel Felner, Jiaoyang Li, T. K. Satish Kumar, Sven Koenig
Optimal Bidding Strategy for Brand Advertising
Takanori Maehara, Atsuhiro Narita, Jun Baba, Takayuki Kawabata
Preference Orders on Families of Sets - When Can Impossibility Results Be Avoided?
Jan Maly, Miroslaw Truszczynski, Stefan Woltran
Online Pricing for Revenue Maximization with Unknown Time Discounting Valuations
Weichao Mao, Zhenzhe Zheng, Fan Wu, Guihai Chen
Leadership in Singleton Congestion Games
Alberto Marchesi, Stefano Coniglio, Nicola Gatti
The Price of Usability: Designing Operationalizable Strategies for Security Games
Sara Marie Mc Carthy, Corine M. Laan, Kai Wang, Phebe Vayanos, Arunesh Sinha, Milind Tambe
Dynamically Forming a Group of Human Forecasters and Machine Forecaster for Forecasting Economic Indicators
Takahiro Miyoshi, Shigeo Matsubara
Goal-Based Collective Decisions: Axiomatics and Computational Complexity
Arianna Novaro, Umberto Grandi, Dominique Longin, Emiliano Lorini
Deontic Sensors
Julian Padget, Marina De Vos, Charlie Ann Page
Democratic Fair Allocation of Indivisible Goods
Erel Segal-Halevi, Warut Suksompong
Double Auctions in Markets for Multiple Kinds of Goods
Erel Segal-Halevi, Avinatan Hassidim, Yonatan Aumann
Redividing the Cake
Erel Segal-Halevi
Ex-post IR Dynamic Auctions with Cost-per-Action Payments
Weiran Shen, Zihe Wang, Song Zuo
Designing the Game to Play: Optimizing Payoff Structure in Security Games
Zheyuan Ryan Shi, Ziye Tang, Long Tran-Thanh, Rohit Singh, Fei Fang
Efficient Computation of Approximate Equilibria in Discrete Colonel Blotto Games
Dong Quan Vu, Patrick Loiseau, Alonso Silva
A Decentralised Approach to Intersection Traffic Management
Huan Vu, Samir Aknine, Sarvapali D. Ramchurn
Extended Increasing Cost Tree Search for Non-Unit Cost Domains
Thayne T. Walker, Nathan R. Sturtevant, Ariel Felner
A Cloaking Mechanism to Mitigate Market Manipulation
Xintong Wang, Yevgeniy Vorobeychik, Michael P. Wellman
Budget-feasible Procurement Mechanisms in Two-sided Markets
Weiwei Wu, Xiang Liu, Minming Li
Exact Algorithms and Complexity of Kidney Exchange
Mingyu Xiao, Xuanbei Wang
Keeping in Touch with Collaborative UAVs: A Deep Reinforcement Learning Approach
Bo Yang, Min Liu
Recurrent Deep Multiagent Q-Learning for Autonomous Brokers in Smart Grid
Yaodong Yang, Jianye Hao, Mingyang Sun, Zan Wang, Changjie Fan, Goran Strbac
Multiwinner Voting with Restricted Admissible Sets: Complexity and Strategyproofness
Yongjie Yang, Jianxin Wang
Socially Motivated Partial Cooperation in Multi-agent Local Search
Tal Ze'evi, Roie Zivan, Omer Lev
Strategyproof and Fair Matching Mechanism for Union of Symmetric M-convex Constraints
Yuzhe Zhang, Kentaro Yahiro, Nathanaël Barrot, Makoto Yokoo
Computer Vision
MEnet: A Metric Expression Network for Salient Object Segmentation
Shulian Cai, Jiabin Huang, Delu Zeng, Xinghao Ding, John Paisley
Show, Observe and Tell: Attribute-driven Attention Model for Image Captioning
Hui Chen, Guiguang Ding, Zijia Lin, Sicheng Zhao, Jungong Han
Learning Deep Unsupervised Binary Codes for Image Retrieval
Junjie Chen, William K. Cheung, Anran Wang
Deep View-Aware Metric Learning for Person Re-Identification
Pu Chen, Xinyi Xu, Cheng Deng
Knowledge-Embedded Representation Learning for Fine-Grained Image Recognition
Tianshui Chen, Liang Lin, Riquan Chen, Yang Wu, Xiaonan Luo
Sharing Residual Units Through Collective Tensor Factorization To Improve Deep Neural Networks
Yunpeng Chen, Xiaojie Jin, Bingyi Kang, Jiashi Feng, Shuicheng Yan
Scanpath Prediction for Visual Attention using IOR-ROI LSTM
Zhenzhong Chen, Wanjie Sun
Multi-scale and Discriminative Part Detectors Based Features for Multi-label Image Classification
Gong Cheng, Decheng Gao, Yang Liu, Junwei Han
Anonymizing k Facial Attributes via Adversarial Perturbations
Saheb Chhabra, Richa Singh, Mayank Vatsa, Gaurav Gupta
Dual Adversarial Networks for Zero-shot Cross-media Retrieval
Jingze Chi, Yuxin Peng
Siamese CNN-BiLSTM Architecture for 3D Shape Representation Learning
Guoxian Dai, Jin Xie, Yi Fang
Cross-Modality Person Re-Identification with Generative Adversarial Training
Pingyang Dai, Rongrong Ji, Haibin Wang, Qiong Wu, Yuyu Huang
R³Net: Recurrent Residual Refinement Network for Saliency Detection
Zijun Deng, Xiaowei Hu, Lei Zhu, Xuemiao Xu, Jing Qin, Guoqiang Han, Pheng-Ann Heng
Unsupervised Cross-Modality Domain Adaptation of ConvNets for Biomedical Image Segmentations with Adversarial Loss
Qi Dou, Cheng Ouyang, Cheng Chen, Hao Chen, Pheng-Ann Heng
Enhanced-alignment Measure for Binary Foreground Map Evaluation
Deng-Ping Fan, Cheng Gong, Yang Cao, Bo Ren, Ming-Ming Cheng, Ali Borji
Watching a Small Portion could be as Good as Watching All: Towards Efficient Video Classification
Hehe Fan, Zhongwen Xu, Linchao Zhu, Chenggang Yan, Jianjun Ge, Yi Yang
Age Estimation Using Expectation of Label Distribution Learning
Bin-Bin Gao, Hong-Yu Zhou, Jianxin Wu, Xin Geng
Coarse-to-fine Image Co-segmentation with Intra and Inter Rank Constraints
Lianli Gao, Jingkuan Song, Dongxiang Zhang, Heng Tao Shen
View-Volume Network for Semantic Scene Completion from a Single Depth Image
Yuxiao Guo, Xin Tong
Harnessing Synthesized Abstraction Images to Improve Facial Attribute Recognition
Keke He, Yanwei Fu, Wuhao Zhang, Chengjie Wang, Yu-Gang Jiang, Feiyue Huang, Xiangyang Xue
StackDRL: Stacked Deep Reinforcement Learning for Fine-grained Visual Categorization
Xiangteng He, Yuxin Peng, Junjie Zhao
Co-attention CNNs for Unsupervised Object Co-segmentation
Kuang-Jui Hsu, Yen-Yu Lin, Yung-Yu Chuang
Human Motion Generation via Cross-Space Constrained Sampling
Zhongyue Huang, Jingwei Xu, Bingbing Ni
Semantic Locality-Aware Deformable Network for Clothing Segmentation
Wei Ji, Xi Li, Yueting Zhuang, Omar El Farouk Bourahla, Yixin Ji, Shihao Li, Jiabao Cui
Deep CNN Denoiser and Multi-layer Neighbor Component Embedding for Face Hallucination
Junjun Jiang, Yi Yu, Jinhui Hu, Suhua Tang, Jiayi Ma
Feature Integration with Adaptive Importance Maps for Visual Tracking
Aishi Li, Ming Yang, Wanqi Yang
Co-occurrence Feature Learning from Skeleton Data for Action Recognition and Detection with Hierarchical Aggregation
Chao Li, Qiaoyong Zhong, Di Xie, Shiliang Pu
Image Cationing with Visual-Semantic LSTM
Nannan Li, Zhenzhong Chen
Nonrigid Points Alignment with Soft-weighted Selection
Xuelong Li, Jian Yang, Qi Wang
Deeply-Supervised CNN Model for Action Recognition with Trainable Feature Aggregation
Yang Li, Kan Li, Xinxin Wang
Live Face Verification with Multiple Instantialized Local Homographic Parameterization
Chen Lin, Zhouyingcheng Liao, Peng Zhou, Jianguo Hu, Bingbing Ni
Multi-Level Policy and Reward Reinforcement Learning for Image Captioning
Anan Liu, Ning Xu, Hanwang Zhang, Weizhi Nie, Yuting Su, Yongdong Zhang
Cross-Domain 3D Model Retrieval via Visual Domain Adaption
Anan Liu, Shu Xiang, Wenhui Li, Weizhi Nie, Yuting Su
Deep Attribute Guided Representation for Heterogeneous Face Recognition
Decheng Liu, Nannan Wang, Chunlei Peng, Jie Li, Xinbo Gao
When Image Denoising Meets High-Level Vision Tasks: A Deep Learning Approach
Ding Liu, Bihan Wen, Xianming Liu, Zhangyang Wang, Thomas Huang
Crowd Counting using Deep Recurrent Spatial-Aware Network
Lingbo Liu, Hongjun Wang, Guanbin Li, Wanli Ouyang, Liang Lin
H-Net: Neural Network for Cross-domain Image Patch Matching
Weiquan Liu, Xuelun Shen, Cheng Wang, Zhihong Zhang, Chenglu Wen, Jonathan Li
DEL: Deep Embedding Learning for Efficient Image Segmentation
Yun Liu, Peng-Tao Jiang, Vahan Petrosyan, Shi-Jie Li, Jiawang Bian, Le Zhang, Ming-Ming Cheng
Progressive Generative Hashing for Image Retrieval
Yuqing Ma, Yue He, Fan Ding, Sheng Hu, Jun Li, Xianglong Liu
MEGAN: Mixture of Experts of Generative Adversarial Networks for Multimodal Image Generation
David Keetae Park, Seungjoo Yoo, Hyojin Bahng, Jaegul Choo, Noseong Park
Dilated Convolutional Network with Iterative Optimization for Continuous Sign Language Recognition
Junfu Pu, Wengang Zhou, Houqiang Li
Cross-media Multi-level Alignment with Relation Attention Network
Jinwei Qi, Yuxin Peng, Yuxin Yuan
Dual Conditional GANs for Face Aging and Rejuvenation
Jingkuan Song, Jingqiu Zhang, Lianli Gao, Xianglong Liu, Heng Tao Shen
From Pixels to Objects: Cubic Visual Attention for Visual Question Answering
Jingkuan Song, Pengpeng Zeng, Lianli Gao, Heng Tao Shen
Hierarchical Graph Structure Learning for Multi-View 3D Model Retrieval
Yuting Su, Wenhui Li, Anan Liu, Weizhi Nie
Learning to Write Stylized Chinese Characters by Reading a Handful of Examples
Danyang Sun, Tongzheng Ren, Chongxuan Li, Hang Su, Jun Zhu
Image-level to Pixel-wise Labeling: From Theory to Practice
Tiezhu Sun, Wei Zhang, Zhijie Wang, Lin Ma, Zequn Jie
Long-Term Human Motion Prediction by Modeling Motion Context and Enhancing Motion Dynamics
Yongyi Tang, Lin Ma, Wei Liu, Wei-Shi Zheng
CR-GAN: Learning Complete Representations for Multi-view Generation
Yu Tian, Xi Peng, Long Zhao, Shaoting Zhang, Dimitris N. Metaxas
Representation Learning for Scene Graph Completion via Jointly Structural and Visual Embedding
Hai Wan, Yonghao Luo, Bo Peng, Wei-Shi Zheng
Collaborative and Attentive Learning for Personalized Image Aesthetic Assessment
Guolong Wang, Junchi Yan, Zheng Qin
Uncertainty Sampling for Action Recognition via Maximizing Expected Average Precision
Hanmo Wang, Xiaojun Chang, Lei Shi, Yi Yang, Yi-Dong Shen
Collaborative Learning for Weakly Supervised Object Detection
Jiajie Wang, Jiangchao Yao, Ya Zhang, Rui Zhang
DRPose3D: Depth Ranking in 3D Human Pose Estimation
Min Wang, Xipeng Chen, Wentao Liu, Chen Qian, Liang Lin, Lizhuang Ma
Do not Lose the Details: Reinforced Representation Learning for High Performance Visual Tracking
Qiang Wang, Mengdan Zhang, Junliang Xing, Jin Gao, Weiming Hu, Steve Maybank
Ensemble Soft-Margin Softmax Loss for Image Classification
Xiaobo Wang, Shifeng Zhang, Zhen Lei, Si Liu, Xiaojie Guo, Stan Z. Li
Deep Propagation Based Image Matting
Yu Wang, Yi Niu, Peiyong Duan, Jianwei Lin, Yuanjie Zheng
Densely Cascaded Shadow Detection Network via Deeply Supervised Parallel Fusion
Yupei Wang, Xin Zhao, Yin Li, Xuecai Hu, Kaiqi Huang
HCR-Net: A Hybrid of Classification and Regression Network for Object Pose Estimation
Zairan Wang, Weiming Li, Yueying Kao, Dongqing Zou, Qiang Wang, Minsu Ahn, Sunghoon Hong
Deep Reasoning with Knowledge Graph for Social Relationship Understanding
Zhouxia Wang, Tianshui Chen, Jimmy Ren, Weihao Yu, Hui Cheng, Liang Lin
Multi-modal Circulant Fusion for Video-to-Language and Backward
Aming Wu, Yahong Han
Annotation-Free and One-Shot Learning for Instance Segmentation of Homogeneous Object Clusters
Zheng Wu, Ruiheng Chang, Jiaxu Ma, Cewu Lu, Chi Keung Tang
Fine-grained Image Classification by Visual-Semantic Embedding
Huapeng Xu, Guilin Qi, Jingjing Li, Meng Wang, Kang Xu, Huan Gao
Evaluating Brush Movements for Chinese Calligraphy: A Computer Vision Based Approach
Pengfei Xu, Lei Wang, Ziyu Guan, Xia Zheng, Xiaojiang Chen, Zhanyong Tang, Dingyi Fang, Xiaoqing Gong, Zheng Wang
Multi-task Layout Analysis for Historical Handwritten Documents Using Fully Convolutional Networks
Yue Xu, Fei Yin, Zhaoxiang Zhang, Cheng-Lin Liu
Semantic Structure-based Unsupervised Deep Hashing
Erkun Yang, Cheng Deng, Tongliang Liu, Wei Liu, Dacheng Tao
IncepText: A New Inception-Text Module with Deformable PSROI Pooling for Multi-Oriented Scene Text Detection
Qiangpeng Yang, Mengli Cheng, Wenmeng Zhou, Yan Chen, Minghui Qiu, Wei Lin
SSR-Net: A Compact Soft Stagewise Regression Network for Age Estimation
Tsun-Yi Yang, Yi-Hsuan Huang, Yen-Yu Lin, Pi-Cheng Hsiu, Yung-Yu Chuang
Extracting Privileged Information from Untagged Corpora for Classifier Learning
Yazhou Yao, Jian Zhang, Fumin Shen, Wankou Yang, Xian-Sheng Hua, Zhenmin Tang
Visible Thermal Person Re-Identification via Dual-Constrained Top-Ranking
Mang Ye, Zheng Wang, Xiangyuan Lan, Pong C. Yuen
Adversarial Attribute-Image Person Re-identification
Zhou Yin, Wei-Shi Zheng, Ancong Wu, Hong-Xing Yu, Hai Wan, Xiaowei Guo, Feiyue Huang, Jianhuang Lai
Exploiting Images for Video Recognition with Hierarchical Generative Adversarial Networks
Feiwu Yu, Xinxiao Wu, Yuchao Sun, Lixin Duan
Rethinking Diversified and Discriminative Proposal Generation for Visual Grounding
Zhou Yu, Jun Yu, Chenchao Xiang, Zhou Zhao, Qi Tian, Dacheng Tao
SafeNet: Scale-normalization and Anchor-based Feature Extraction Network for Person Re-identification
Kun Yuan, Qian Zhang, Chang Huang, Shiming Xiang, Chunhong Pan
Visual Data Synthesis via GAN for Zero-Shot Video Classification
Chenrui Zhang, Yuxin Peng
Better and Faster: Knowledge Transfer from Multiple Self-supervised Learning Tasks via Graph Distillation for Video Classification
Chenrui Zhang, Yuxin Peng
Markov Random Neural Fields for Face Sketch Synthesis
Mingjin Zhang, Nannan Wang, Xinbo Gao, Yunsong Li
Salient Object Detection by Lossless Feature Reflection
Pingping Zhang, Wei Liu, Huchuan Lu, Chunhua Shen
High Resolution Feature Recovering for Accelerating Urban Scene Parsing
Rui Zhang, Sheng Tang, Luoqi Liu, Yongdong Zhang, Jintao Li, Shuicheng Yan
Robust Face Sketch Synthesis via Generative Adversarial Fusion of Priors and Parametric Sigmoid
Shengchuan Zhang, Rongrong Ji, Jie Hu, Yue Gao, Chia-Wen Lin
Layered Optical Flow Estimation Using a Deep Neural Network with a Soft Mask
Xi Zhang, Di Ma, Xu Ouyang, Shanshan Jiang, Lin Gan, Gady Agam
Video Captioning with Tube Features
Bin Zhao, Xuelong Li, Xiaoqiang Lu
3D-Aided Deep Pose-Invariant Face Recognition
Jian Zhao, Lin Xiong, Yu Cheng, Yi Cheng, Jianshu Li, Li Zhou, Yan Xu, Jayashree Karlekar, Sugiri Pranata, Shengmei Shen, Junliang Xing, Shuicheng Yan, Jiashi Feng
Hi-Fi: Hierarchical Feature Integration for Skeleton Detection
Kai Zhao, Wei Shen, Shanghua Gao, Dandan Li, Ming-Ming Cheng
Distortion-aware CNNs for Spherical Images
Qiang Zhao, Chen Zhu, Feng Dai, Yike Ma, Guoqing Jin, Yongdong Zhang
A Multi-task Learning Approach for Image Captioning
Wei Zhao, Benyou Wang, Jianbo Ye, Min Yang, Zhou Zhao, Ruotian Luo, Yu Qiao
A Comparative Study of Transactional and Semantic Approaches for Predicting Cascades on Twitter
Yunwei Zhao, Can Wang, Chi-Hung Chi, Kwok-Yan Lam, Sen Wang
Learning Robust Gaussian Process Regression for Visual Tracking
Linyu Zheng, Ming Tang, Jinqiao Wang
Centralized Ranking Loss with Weakly Supervised Localization for Fine-Grained Object Retrieval
Xiawu Zheng, Rongrong Ji, Xiaoshuai Sun, Yongjian Wu, Feiyue Huang, Yanhua Yang
DehazeGAN: When Image Dehazing Meets Differential Programming
Hongyuan Zhu, Xi Peng, Vijay Chandrasekhar, Liyuan Li, Joo-Hwee Lim
Constraints and SAT
A Framework for Constraint Based Local Search using Essence
Özgür Akgün, Saad Attieh, Ian P. Gent, Christopher Jefferson, Ian Miguel, Peter Nightingale, András Z. Salamon, Patrick Spracklen, James Wetter
On the Satisfiability Threshold of Random Community-Structured SAT
Dina Barak-Pelleg, Daniel Berend
Classification Transfer for Qualitative Reasoning Problems
Manuel Bodirsky, Peter Jonsson, Barnaby Martin, Antoine Mottet
Descriptive Clustering: ILP and CP Formulations with Applications
Thi-Bich-Hanh Dao, Chia-Tung Kuo, S. S. Ravi, Christel Vrain, Ian Davidson
Methods for off-line/on-line optimization under uncertainty
Allegra De Filippo, Michele Lombardi, Michela Milano
Machine Learning and Constraint Programming for Relational-To-Ontology Schema Mapping
Diego De Uña, Nataliia Rümmele, Graeme Gange, Peter Schachte, Peter J. Stuckey
Unary Integer Linear Programming with Structural Restrictions
Eduard Eiben, Robert Ganian, Dušan Knop, Sebastian Ordyniak
Divide and Conquer: Towards Faster Pseudo-Boolean Solving
Jan Elffers, Jakob Nordström
Seeking Practical CDCL Insights from Theoretical SAT Benchmarks
Jan Elffers, Jesús Giráldez-Cru, Stephan Gocht, Jakob Nordström, Laurent Simon
Boosting MCSes Enumeration
Éric Grégoire, Yacine Izza, Jean-Marie Lagniez
Conflict Directed Clause Learning for Maximum Weighted Clique Problem
Emmanuel Hebrard, George Katsirelos
Simpler and Faster Algorithm for Checking the Dynamic Consistency of Conditional Simple Temporal Networks
Luke Hunsberger, Roberto Posenato
DMC: A Distributed Model Counter
Jean-Marie Lagniez, Pierre Marquis, Nicolas Szczepanski
Solving Exist-Random Quantified Stochastic Boolean Satisfiability via Clause Selection
Nian-Ze Lee, Yen-Shi Wang, Jie-Hong R. Jiang
Solving (Weighted) Partial MaxSAT by Dynamic Local Search for SAT
Zhendong Lei, Shaowei Cai
Core-Guided Minimal Correction Set and Core Enumeration
Nina Narodytska, Nikolaj Bjørner, Maria-Cristina Marinescu, Mooly Sagiv
Learning Optimal Decision Trees with SAT
Nina Narodytska, Alexey Ignatiev, Filipe Pereira, Joao Marques-Silva
Accelerated Difference of Convex functions Algorithm and its Application to Sparse Binary Logistic Regression
Duy Nhat Phan, Hoai Minh Le, Hoai An Le Thi
Stratification for Constraint-Based Multi-Objective Combinatorial Optimization
Miguel Terra-Neves, Inês Lynce, Vasco Manquinho
Compact-MDD: Efficiently Filtering (s)MDD Constraints with Reversible Sparse Bit-sets
Hélène Verhaeghe, Christophe Lecoutre, Pierre Schaus
A Reactive Strategy for High-Level Consistency During Search
Robert J. Woodward, Berthe Y. Choueiry, Christian Bessiere
A Fast Algorithm for Generalized Arc Consistency of the Alldifferent Constraint
Xizhe Zhang, Qian Li, Weixiong Zhang
Heuristic Search and Game Playing
A General Approach to Running Time Analysis of Multi-objective Evolutionary Algorithms
Chao Bian, Chao Qian, Ke Tang
Improving Local Search for Minimum Weight Vertex Cover by Dynamic Strategies
Shaowei Cai, Wenying Hou, Jinkun Lin, Yuanjie Li
Back to Basics: Benchmarking Canonical Evolution Strategies for Playing Atari
Patryk Chrabąszcz, Ilya Loshchilov, Frank Hutter
The FastMap Algorithm for Shortest Path Computations
Liron Cohen, Tansel Uras, Shiva Jahangiri, Aliyah Arunasalam, Sven Koenig, T. K. Satish Kumar
Anytime Focal Search with Applications
Liron Cohen, Matias Greco, Hang Ma, Carlos Hernandez, Ariel Felner, T. K. Satish Kumar, Sven Koenig
Neural Networks for Predicting Algorithm Runtime Distributions
Katharina Eggensperger, Marius Lindauer, Frank Hutter
An Exact Algorithm for Maximum k-Plexes in Massive Graphs
Jian Gao, Jiejiang Chen, Minghao Yin, Rong Chen, Yiyuan Wang
A Fast Algorithm for Optimally Finding Partially Disjoint Shortest Paths
Longkun Guo, Yunyun Deng, Kewen Liao, Qiang He, Timos Sellis, Zheshan Hu
Best-Case and Worst-Case Behavior of Greedy Best-First Search
Manuel Heusner, Thomas Keller, Malte Helmert
Knowledge-Guided Agent-Tactic-Aware Learning for StarCraft Micromanagement
Yue Hu, Juntao Li, Xi Li, Gang Pan, Mingliang Xu
Approximation Guarantees of Stochastic Greedy Algorithms for Subset Selection
Chao Qian, Yang Yu, Ke Tang
Sequence Selection by Pareto Optimization
Chao Qian, Chao Feng, Ke Tang
Distributed Pareto Optimization for Subset Selection
Chao Qian, Guiying Li, Chao Feng, Ke Tang
Meta-Level Control of Anytime Algorithms with Online Performance Prediction
Justin Svegliato, Kyle Hollins Wray, Shlomo Zilberstein
Understanding Subgoal Graphs by Augmenting Contraction Hierarchies
Tansel Uras, Sven Koenig
A Fast Local Search Algorithm for Minimum Weight Dominating Set Problem on Massive Graphs
Yiyuan Wang, Shaowei Cai, Jiejiang Chen, Minghao Yin
Master-Slave Curriculum Design for Reinforcement Learning
Yuechen Wu, Wei Zhang, Ke Song
Humans and AI
On the Cost Complexity of Crowdsourcing
Yili Fang, Hailong Sun, Pengpeng Chen, Jinpeng Huai
A Novel Strategy for Active Task Assignment in Crowd Labeling
Zehong Hu, Jie Zhang
Deep Learning Based Multi-modal Addressee Recognition in Visual Scenes with Utterances
Thao Le Minh, Nobuyuki Shimizu, Takashi Miyazaki, Koichi Shinoda
Simultaneous Clustering and Ranking from Pairwise Comparisons
Jiyi Li, Yukino Baba, Hisashi Kashima
A Novel Neural Network Model based on Cerebral Hemispheric Asymmetry for EEG Emotion Recognition
Yang Li, Wenming Zheng, Zhen Cui, Tong Zhang, Yuan Zong
On the Efficiency of Data Collection for Crowdsourced Classification
Edoardo Manino, Long Tran-Thanh, Nicholas R. Jennings
Similarity-Based Reasoning, Raven's Matrices, and General Intelligence
Can Serif Mekik, Ron Sun, David Yun Dai
NPE: Neural Personalized Embedding for Collaborative Filtering
ThaiBinh Nguyen, Atsuhiro Takasu
Algorithms for Fair Load Shedding in Developing Countries
Olabambo I. Oluwasuji, Obaid Malik, Jie Zhang, Sarvapali D. Ramchurn
Jointly Learning Network Connections and Link Weights in Spiking Neural Networks
Yu Qi, Jiangrong Shen, Yueming Wang, Huajin Tang, Hang Yu, Zhaohui Wu, Gang Pan
A Simple Convolutional Neural Network for Accurate P300 Detection and Character Spelling in Brain Computer Interface
Hongchang Shan, Yu Liu, Todor Stefanov
Cross-Domain Depression Detection via Harvesting Social Media
Tiancheng Shen, Jia Jia, Guangyao Shen, Fuli Feng, Xiangnan He, Huanbo Luan, Jie Tang, Thanassis Tiropanis, Tat-Seng Chua, Wendy Hall
Synthesizing Pattern Programs from Examples
Sunbeom So, Hakjoo Oh
Learning Sequential Correlation for User Generated Textual Content Popularity Prediction
Wen Wang, Wei Zhang, Jun Wang, Junchi Yan, Hongyuan Zha
Neural Framework for Joint Evolution Modeling of User Feedback and Social Links in Dynamic Social Networks
Peizhi Wu, Yi Tu, Xiaojie Yuan, Adam Jatowt, Zhenglu Yang
Memory Attention Networks for Skeleton-based Action Recognition
Chunyu Xie, Ce Li, Baochang Zhang, Chen Chen, Jungong Han, Jianzhuang Liu
CSNN: An Augmented Spiking based Framework with Perceptron-Inception
Qi Xu, Yu Qi, Hang Yu, Jiangrong Shen, Huajin Tang, Gang Pan
Brain-inspired Balanced Tuning for Spiking Neural Networks
Tielin Zhang, Yi Zeng, Dongcheng Zhao, Bo Xu
Personality-Aware Personalized Emotion Recognition from Physiological Signals
Sicheng Zhao, Guiguang Ding, Jungong Han, Yue Gao
Knowledge Representation and Reasoning
Query Answering in Propositional Circumscription
Mario Alviano
Enhancing Existential Rules by Closed-World Variables
Giovanni Amendola, Nicola Leone, Marco Manna, Pierfrancesco Veltri
Explainable Certain Answers
Giovanni Amendola, Leonid Libkin
Compiling Model Representations for Querying Large ABoxes in Expressive DLs
Labinot Bajraktari, Magdalena Ortiz, Mantas Simkus
Abstraction of Agents Executing Online and their Abilities in the Situation Calculus
Bita Banihashemi, Giuseppe De Giacomo, Yves Lespérance
First-Order Rewritability of Frontier-Guarded Ontology-Mediated Queries
Pablo Barceló, Gerald Berger, Carsten Lutz, Andreas Pieris
Single-Shot Epistemic Logic Program Solving
Manuel Bichler, Michael Morak, Stefan Woltran
Inconsistency-Tolerant Ontology-Based Data Access Revisited: Taking Mappings into Account
Meghyn Bienvenu
Actual Causality in a Logical Setting
Alexander Bochman
Exploiting Justifications for Lazy Grounding of Answer Set Programs
Bart Bogaerts, Antonius Weinzierl
Fast Compliance Checking in an OWL2 Fragment
Piero A. Bonatti
Relevance in Structured Argumentation
AnneMarie Borg, Christian Straßer
Learning Conceptual Space Representations of Interrelated Concepts
Zied Bouraoui, Steven Schockaert
Embracing Change by Abstraction Materialization Maintenance for Large ABoxes
Markus Brenner, Birte Glimm
The Complexity of Limited Belief Reasoning—The Quantifier-Free Case
Yijia Chen, Abdallah Saffidine, Christoph Schwering
Belief Update in the Horn Fragment
Nadia Creignou, Adrian Haret, Odile Papini, Stefan Woltran
A Study of Argumentative Characterisations of Preferred Subtheories
Marcello D'Agostino, Sanjay Modgil
Game Description Language and Dynamic Epistemic Logic Compared
Thorsten Engesser, Robert Mattmüller, Bernhard Nebel, Michael Thielscher
Probabilistic bipolar abstract argumentation frameworks: complexity results
Bettina Fazzinga, Sergio Flesca, Filippo Furfaro
From Conjunctive Queries to Instance Queries in Ontology-Mediated Querying
Cristina Feier, Carsten Lutz, Frank Wolter
An Empirical Study of Knowledge Tradeoffs in Case-Based Reasoning
Devi Ganesan, Sutanu Chakraborti
Possibilistic ASP Base Revision by Certain Input
Laurent Garcia, Claire Lefèvre, Odile Papini, Igor Stéphan, Eric Würbel
Finite Model Reasoning in Hybrid Classes of Existential Rules
Georg Gottlob, Marco Manna, Andreas Pieris
Computing Approximate Query Answers over Inconsistent Knowledge Bases
Sergio Greco, Cristian Molinaro, Irina Trubitsyna
Reverse Engineering Queries in Ontology-Enriched Systems: The Case of Expressive Horn Description Logic Ontologies
Víctor Gutiérrez-Basulto, Jean Christoph Jung, Leif Sabellek
Two Sides of the Same Coin: Belief Revision and Enforcing Arguments
Adrian Haret, Johannes P. Wallner, Stefan Woltran
Horn-Rewritability vs PTime Query Evaluation in Ontology-Mediated Querying
Andre Hernich, Carsten Lutz, Fabio Papacchini, Frank Wolter
On the Conditional Logic of Simulation Models
Duligur Ibeling, Thomas Icard
Stratified Negation in Limit Datalog Programs
Mark Kaminski, Bernardo Cuenca Grau, Egor V. Kostylev, Boris Motik, Ian Horrocks
Counterfactual Resimulation for Causal Analysis of Rule-Based Models
Jonathan Laurent, Jean Yang, Walter Fontana
Pseudo-Boolean Constraints from a Knowledge Representation Perspective
Daniel Le Berre, Pierre Marquis, Stefan Mengel, Romain Wallon
An Efficient Algorithm To Compute Distance Between Lexicographic Preference Trees
Minyi Li, Borhan Kazimipour
Novel Algorithms for Abstract Dialectical Frameworks based on Complexity Analysis of Subclasses and SAT Solving
Thomas Linsbichler, Marco Maratea, Andreas Niskanen, Johannes P. Wallner, Stefan Woltran
Multi-agent Epistemic Planning with Common Knowledge
Qiang Liu, Yongmei Liu
Complexity of Approximate Query Answering under Inconsistency in Datalog+/-
Thomas Lukasiewicz, Enrico Malizia, Cristian Molinaro
Incrementally Grounding Expressions for Spatial Relations between Objects
Tiago Mota, Mohan Sridharan
Leveraging Qualitative Reasoning to Improve SFL
Alexandre Perez, Rui Abreu
Two Approaches to Ontology Aggregation Based on Axiom Weakening
Daniele Porello, Nicolas Troquard, Rafael Peñaloza, Roberto Confalonieri, Pietro Galliani, Oliver Kutz
Argumentation-Based Recommendations: Fantastic Explanations and How to Find Them
Antonio Rago, Oana Cocarascu, Francesca Toni
Abducing Relations in Continuous Spaces
Taisuke Sato, Katsumi Inoue, Chiaki Sakama
Reasoning about Betweenness and RCC8 Constraints in Qualitative Conceptual Spaces
Steven Schockaert, Sanjiang Li
Consequence-based Reasoning for Description Logics with Disjunction, Inverse Roles, Number Restrictions, and Nominals
David Tena Cucala, Bernardo Cuenca Grau, Ian Horrocks
Inconsistency Measures for Repair Semantics in OBDA
Bruno Yun, Srdjan Vesic, Madalina Croitoru, Pierre Bisquert
On Concept Forgetting in Description Logics with Qualified Number Restrictions
Yizheng Zhao, Renate Schmidt
Machine Learning
Finding Frequent Entities in Continuous Data
Ferran Alet, Rohan Chitnis, Leslie P. Kaelbling, Tomas Lozano-Perez
Small-Variance Asymptotics for Nonparametric Bayesian Overlapping Stochastic Blockmodels
Gundeep Arora, Anupreet Porwal, Kanupriya Agarwal, Avani Samdariya, Piyush Rai
Convolutional Neural Networks based Click-Through Rate Prediction with Multiple Feature Sequences
Patrick P. K. Chan, Xian Hu, Lili Zhao, Daniel S. Yeung, Dapeng Liu, Lei Xiao
Tri-net for Semi-Supervised Deep Learning
Dong-Dong Chen, Wei Wang, Wei Gao, Zhi-Hua Zhou
Adversarial Metric Learning
Shuo Chen, Chen Gong, Jian Yang, Xiang Li, Yang Wei, Jun Li
Distributed Primal-Dual Optimization for Non-uniformly Distributed Data
Minhao Cheng, Cho-Jui Hsieh
Solving Separable Nonsmooth Problems Using Frank-Wolfe with Uniform Affine Approximations
Edward Cheung, Yuying Li
Causal Inference in Time Series via Supervised Learning
Yoichi Chikahara, Akinori Fujino
Unifying and Merging Well-trained Deep Neural Networks for Inference Stage
Yi-Min Chou, Yi-Ming Chan, Jia-Hong Lee, Chih-Yi Chiu, Chu-Song Chen
Behavior of Analogical Inference w.r.t. Boolean Functions
Miguel Couceiro, Nicolas Hug, Henri Prade, Gilles Richard
Adaptive Collaborative Similarity Learning for Unsupervised Multi-view Feature Selection
Xiao Dong, Lei Zhu, Xuemeng Song, Jingjing Li, Zhiyong Cheng
Counterexample-Guided Data Augmentation
Tommaso Dreossi, Shromona Ghosh, Xiangyu Yue, Kurt Keutzer, Alberto Sangiovanni-Vincentelli, Sanjit A. Seshia
Galaxy Network Embedding: A Hierarchical Community Structure Preserving Approach
Lun Du, Zhicong Lu, Yun Wang, Guojie Song, Yiming Wang, Wei Chen
Dynamic Network Embedding : An Extended Approach for Skip-gram based Network Embedding
Lun Du, Yun Wang, Guojie Song, Zhicong Lu, Junshan Wang
Quantum Divide-and-Conquer Anchoring for Separable Non-negative Matrix Factorization
Yuxuan Du, Tongliang Liu, Yinan Li, Runyao Duan, Dacheng Tao
A Novel Data Representation for Effective Learning in Class Imbalanced Scenarios
Sri Harsha Dumpala, Rupayan Chakraborty, Sunil Kumar Kopparapu
Leveraging Latent Label Distributions for Partial Label Learning
Lei Feng, Bo An
Complementary Binary Quantization for Joint Multiple Indexing
Qiang Fu, Xu Han, Xianglong Liu, Jingkuan Song, Cheng Deng
Joint Generative Moment-Matching Network for Learning Structural Latent Code
Hongchang Gao, Heng Huang
Stochastic Second-Order Method for Large-Scale Nonconvex Sparse Learning Models
Hongchang Gao, Heng Huang
Cuckoo Feature Hashing: Dynamic Weight Sharing for Sparse Analytics
Jinyang Gao, Beng Chin Ooi, Yanyan Shen, Wang-Chien Lee
Active Discriminative Network Representation Learning
Li Gao, Hong Yang, Chuan Zhou, Jia Wu, Shirui Pan, Yue Hu
Scalable Rule Learning via Learning Representation
Pouya Ghiasnezhad Omran, Kewen Wang, Zhe Wang
Teaching Semi-Supervised Classifier via Generalized Distillation
Chen Gong, Xiaojun Chang, Meng Fang, Jian Yang
Faster Training Algorithms for Structured Sparsity-Inducing Norm
Bin Gu, Xingwang Ju, Xiang Li, Guansheng Zheng
Accelerated Asynchronous Greedy Coordinate Descent Algorithm for SVMs
Bin Gu, Yingying Shan, Xiang Geng, Guansheng Zheng
Regularizing Deep Neural Networks with an Ensemble-based Decorrelation Method
Shuqin Gu, Yuexian Hou, Lipeng Zhang, Yazhou Zhang
Energy-efficient Amortized Inference with Cascaded Deep Classifiers
Jiaqi Guan, Yang Liu, Qiang Liu, Jian Peng
INITIATOR: Noise-contrastive Estimation for Marked Temporal Point Process
Ruocheng Guo, Jundong Li, Huan Liu
Experimental Design under the Bradley-Terry Model
Yuan Guo, Peng Tian, Jayashree Kalpathy-Cramer, Susan Ostmo, J.Peter Campbell, Michael F.Chiang, Deniz Erdogmus, Jennifer Dy, Stratis Ioannidis
Replicating Active Appearance Model by Generator Network
Tian Han, Jiawen Wu, Ying Nian Wu
MIXGAN: Learning Concepts from Different Domains for Mixture Generation
Guang-Yuan Hao, Hong-Xing Yu, Wei-Shi Zheng
Differential Equations for Modeling Asynchronous Algorithms
Li He, Qi Meng, Wei Chen, Zhi-Ming Ma, Tie-Yan Liu
Outer Product-based Neural Collaborative Filtering
Xiangnan He, Xiaoyu Du, Xiang Wang, Feng Tian, Jinhui Tang, Tat-Seng Chua
Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks
Yang He, Guoliang Kang, Xuanyi Dong, Yanwei Fu, Yi Yang
Time-evolving Text Classification with Deep Neural Networks
Yu He, Jianxin Li, Yangqiu Song, Mutian He, Hao Peng
Preventing Disparate Treatment in Sequential Decision Making
Hoda Heidari, Andreas Krause
Generative Adversarial Positive-Unlabelled Learning
Ming Hou, Brahim Chaib-draa, Chao Li, Qibin Zhao
Doubly Aligned Incomplete Multi-view Clustering
Menglei Hu, Songcan Chen
Summarizing Source Code with Transferred API Knowledge
Xing Hu, Ge Li, Xin Xia, David Lo, Shuai Lu, Zhi Jin
Experienced Optimization with Reusable Directional Model for Hyper-Parameter Search
Yi-Qi Hu, Yang Yu, Zhi-Hua Zhou
A Normalized Convolutional Neural Network for Guided Sparse Depth Upsampling
Jiashen Hua, Xiaojin Gong
Combinatorial Pure Exploration with Continuous and Separable Reward Functions and Its Applications
Weiran Huang, Jungseul Ok, Liang Li, Wei Chen
Efficient DNN Neuron Pruning by Minimizing Layer-wise Nonlinear Reconstruction Error
Chunhui Jiang, Guiying Li, Chao Qian, Ke Tang
Automatic Gating of Attributes in Deep Structure
Xiaoming Jin, Tao He, Cheng Wan, Lan Yi, Guiguang Ding, Dou Shen
Self-weighted Multiple Kernel Learning for Graph-based Clustering and Semi-supervised Classification
Zhao Kang, Xiao Lu, Jinfeng Yi, Zenglin Xu
Network Approximation using Tensor Sketching
Shiva Prasad Kasiviswanathan, Nina Narodytska, Hongxia Jin
Temporal Belief Memory: Imputing Missing Data during RNN Training
Yeo Jin Kim, Min Chi
Learning SMT(LRA) Constraints using SMT Solvers
Samuel Kolb, Stefano Teso, Andrea Passerini, Luc De Raedt
HST-LSTM: A Hierarchical Spatial-Temporal Long-Short Term Memory Network for Location Prediction
Dejiang Kong, Fei Wu
A Property Testing Framework for the Theoretical Expressivity of Graph Kernels
Nils M. Kriege, Christopher Morris, Anja Rey, Christian Sohler
Geometric Enclosing Networks
Trung Le, Hung Vu, Tu Dinh Nguyen, Dinh Phung
Open Loop Execution of Tree-Search Algorithms
Erwan Lecarpentier, Guillaume Infantes, Charles Lesire, Emmanuel Rachelson
Z-Transforms and its Inference on Partially Observable Point Processes
Young Lee, Thanh Vinh Vo, Kar Wai Lim, Harold Soh
Generalization Bounds for Regularized Pairwise Learning
Yunwen Lei, Shao-Bo Lin, Ke Tang
Optimization based Layer-wise Magnitude-based Pruning for DNN Compression
Guiying Li, Chao Qian, Chunhui Jiang, Xiaofen Lu, Ke Tang
Finite Sample Analysis of LSTD with Random Projections and Eligibility Traces
Haifang Li, Yingce Xia, Wensheng Zhang
Deep Joint Semantic-Embedding Hashing
Ning Li, Chao Li, Cheng Deng, Xianglong Liu, Xinbo Gao
Variance Reduction in Black-box Variational Inference by Adaptive Importance Sampling
Ximing Li, Changchun Li, Jinjin Chi, Jihong Ouyang
R-SVM+: Robust Learning with Privileged Information
Xue Li, Bo Du, Chang Xu, Yipeng Zhang, Lefei Zhang, Dacheng Tao
Unsupervised Disentangled Representation Learning with Analogical Relations
Zejian Li, Yongchuan Tang, Yongxing He
Accelerating Convolutional Networks via Global & Dynamic Filter Pruning
Shaohui Lin, Rongrong Ji, Yuchao Li, Yongjian Wu, Feiyue Huang, Baochang Zhang
Episodic Memory Deep Q-Networks
Zichuan Lin, Tianqi Zhao, Guangwen Yang, Lintao Zhang
UCBoost: A Boosting Approach to Tame Complexity and Optimality for Stochastic Bandits
Fang Liu, Sinong Wang, Swapna Buccapatnam, Ness Shroff
Structured Inference for Recurrent Hidden Semi-markov Model
Hao Liu, Lirong He, Haoli Bai, Bo Dai, Kun Bai, Zenglin Xu
High-Order Co-Clustering via Strictly Orthogonal and Symmetric L1-Norm Nonnegative Matrix Tri-Factorization
Kai Liu, Hua Wang
Contextual Outlier Interpretation
Ninghao Liu, Donghwa Shin, Xia Hu
Toward Designing Convergent Deep Operator Splitting Methods for Task-specific Nonconvex Optimization
Risheng Liu, Shichao Cheng, Yi He, Xin Fan, Zhongxuan Luo
Exploiting Graph Regularized Multi-dimensional Hawkes Processes for Modeling Events with Spatio-temporal Characteristics
Yanchi Liu, Tan Yan, Haifeng Chen
Learning with Adaptive Neighbors for Image Clustering
Yang Liu, Quanxue Gao, Zhaohua Yang, Shujian Wang
Zero Shot Learning via Low-rank Embedded Semantic AutoEncoder
Yang Liu, Quanxue Gao, Jin Li, Jungong Han, Ling Shao
Fast Cross-Validation
Yong Liu, Hailun Lin, Lizhong Ding, Weiping Wang, Shizhong Liao
Exact Low Tubal Rank Tensor Recovery from Gaussian Measurements
Canyi Lu, Jiashi Feng, Zhouchen Lin, Shuicheng Yan
AAR-CNNs: Auto Adaptive Regularized Convolutional Neural Networks
Yao Lu, Guangming Lu, Yuanrong Xu, Bob Zhang
SDMCH: Supervised Discrete Manifold-Embedded Cross-Modal Hashing
Xin Luo, Xiao-Ya Yin, Liqiang Nie, Xuemeng Song, Yongxin Wang, Xin-Shun Xu
Online Heterogeneous Transfer Metric Learning
Yong Luo, Tongliang Liu, Yonggang Wen, Dacheng Tao
Hierarchical Active Learning with Group Proportion Feedback
Zhipeng Luo, Milos Hauskrecht
Self-Representative Manifold Concept Factorization with Adaptive Neighbors for Clustering
Sihan Ma, Lefei Zhang, Wenbin Hu, Yipeng Zhang, Jia Wu, Xuelong Li
On Q-learning Convergence for Non-Markov Decision Processes
Sultan Javed Majeed, Marcus Hutter
Unpaired Multi-Domain Image Generation via Regularized Conditional GANs
Xudong Mao, Qing Li
Spectral Feature Scaling Method for Supervised Dimensionality Reduction
Momo Matsuda, Keiichi Morikuni, Tetsuya Sakurai
Interactive Optimal Teaching with Unknown Learners
Francisco S. Melo, Carla Guerra, Manuel Lopes
Neural Machine Translation with Key-Value Memory-Augmented Attention
Fandong Meng, Zhaopeng Tu, Yong Cheng, Haiyang Wu, Junjie Zhai, Yuekui Yang, Di Wang
An Information Theory based Approach to Multisource Clustering
Pierre-Alexandre Murena, Jérémie Sublime, Basarab Matei, Antoine Cornuéjols
CAGAN: Consistent Adversarial Training Enhanced GANs
Yao Ni, Dandan Song, Xi Zhang, Hao Wu, Lejian Liao
A Degeneracy Framework for Graph Similarity
Giannis Nikolentzos, Polykarpos Meladianos, Stratis Limnios, Michalis Vazirgiannis
Multinomial Logit Bandit with Linear Utility Functions
Mingdong Ou, Nan Li, Shenghuo Zhu, Rong Jin
Adversarially Regularized Graph Autoencoder for Graph Embedding
Shirui Pan, Ruiqi Hu, Guodong Long, Jing Jiang, Lina Yao, Chengqi Zhang
Generalization-Aware Structured Regression towards Balancing Bias and Variance
Martin Pavlovski, Fang Zhou, Nino Arsov, Ljupco Kocarev, Zoran Obradovic
Label Embedding Based on Multi-Scale Locality Preservation
Cheng-Lun Peng, An Tao, Xin Geng
Cross-modal Bidirectional Translation via Reinforcement Learning
Jinwei Qi, Yuxin Peng
Adversarial Constraint Learning for Structured Prediction
Hongyu Ren, Russell Stewart, Jiaming Song, Volodymyr Kuleshov, Stefano Ermon
Robust Auto-Weighted Multi-View Clustering
Pengzhen Ren, Yun Xiao, Pengfei Xu, Jun Guo, Xiaojiang Chen, Xin Wang, Dingyi Fang
Reachability Analysis of Deep Neural Networks with Provable Guarantees
Wenjie Ruan, Xiaowei Huang, Marta Kwiatkowska
Online Deep Learning: Learning Deep Neural Networks on the Fly
Doyen Sahoo, Quang Pham, Jing Lu, Steven C. H. Hoi
A Bayesian Latent Variable Model of User Preferences with Item Context
Aghiles Salah, Hady W. Lauw
Deep Discrete Prototype Multilabel Learning
Xiaobo Shen, Weiwei Liu, Yong Luo, Yew-Soon Ong, Ivor W. Tsang
Refine or Represent: Residual Networks with Explicit Channel-wise Configuration
Yanyan Shen, Jinyang Gao
Positive and Unlabeled Learning via Loss Decomposition and Centroid Estimation
Hong Shi, Shaojun Pan, Jian Yang, Chen Gong
Student-t Variational Autoencoder for Robust Density Estimation
Hiroshi Takahashi, Tomoharu Iwata, Yuki Yamanaka, Masanori Yamada, Satoshi Yagi
Incomplete Multi-View Weak-Label Learning
Qiaoyu Tan, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Zili Zhang
Exploration by Distributional Reinforcement Learning
Yunhao Tang, Shipra Agrawal
Algorithms or Actions? A Study in Large-Scale Reinforcement Learning
Anderson Rocha Tavares, Sivasubramanian Anbalagan, Leandro Soriano Marcolino, Luiz Chaimowicz
Deep into Hypersphere: Robust and Unsupervised Anomaly Discovery in Dynamic Networks
Xian Teng, Muheng Yan, Ali Mert Ertugrul, Yu-Ru Lin
Differentiable Submodular Maximization
Sebastian Tschiatschek, Aytunc Sahin, Andreas Krause
Deterministic Binary Filters for Convolutional Neural Networks
Vincent W.-S. Tseng, Sourav Bhattacharya, Javier Fernández Marqués, Milad Alizadeh, Catherine Tong, Nicholas D. Lane
Efficient Adaptive Online Learning via Frequent Directions
Yuanyu Wan, Nan Wei, Lijun Zhang
Cascaded Low Rank and Sparse Representation on Grassmann Manifolds
Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin
Minimizing Adaptive Regret with One Gradient per Iteration
Guanghui Wang, Dakuan Zhao, Lijun Zhang
Progressive Blockwise Knowledge Distillation for Neural Network Acceleration
Hui Wang, Hanbin Zhao, Xi Li, Xu Tan
Ranking Preserving Nonnegative Matrix Factorization
Jing Wang, Feng Tian, Weiwei Liu, Xiao Wang, Wenjie Zhang, Kenji Yamanishi
Binary Coding based Label Distribution Learning
Ke Wang, Xin Geng
Convolutional Memory Blocks for Depth Data Representation Learning
Keze Wang, Liang Lin, Chuangjie Ren, Wei Zhang, Wenxiu Sun
Adaptive Graph Guided Embedding for Multi-label Annotation
Lichen Wang, Zhengming Ding, Yun Fu
Iterative Metric Learning for Imbalance Data Classification
Nan Wang, Xibin Zhao, Yu Jiang, Yue Gao
Feature Hashing for Network Representation Learning
Qixiang Wang, Shanfeng Wang, Maoguo Gong, Yue Wu
Mixed Link Networks
Wenhai Wang, Xiang Li, Tong Lu, Jian Yang
New Balanced Active Learning Model and Optimization Algorithm
Xiaoqian Wang, Yijun Huang, Ji Liu, Heng Huang
Fast Factorization-free Kernel Learning for Unlabeled Chunk Data Streams
Yi Wang, Nan Xue, Xin Fan, Jiebo Luo, Risheng Liu, Bin Chen, Haojie Li, Zhongxuan Luo
Positive and Unlabeled Learning for Detecting Software Functional Clones with Adversarial Training
Hui-Hui Wei, Ming Li
Does Tail Label Help for Large-Scale Multi-Label Learning
Tong Wei, Yu-Feng Li
Unsupervised Deep Hashing via Binary Latent Factor Models for Large-scale Cross-modal Retrieval
Gengshen Wu, Zijia Lin, Jungong Han, Li Liu, Guiguang Ding, Baochang Zhang, Jialie Shen
Efficient Attributed Network Embedding via Recursive Randomized Hashing
Wei Wu, Bin Li, Ling Chen, Chengqi Zhang
Towards Enabling Binary Decomposition for Partial Label Learning
Xuan Wu, Min-Ling Zhang
Cutting the Software Building Efforts in Continuous Integration by Semi-Supervised Online AUC Optimization
Zheng Xie, Ming Li
Multi-Label Co-Training
Yuying Xing, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Zili Zhang
De-biasing Covariance-Regularized Discriminant Analysis
Haoyi Xiong, Wei Cheng, Yanjie Fu, Wenqing Hu, Jiang Bian, Zhishan Guo
Deep Multi-View Concept Learning
Cai Xu, Ziyu Guan, Wei Zhao, Yunfei Niu, Quan Wang, Zhiheng Wang
Online Continuous-Time Tensor Factorization Based on Pairwise Interactive Point Processes
Hongteng Xu, Dixin Luo, Lawrence Carin
MUSCAT: Multi-Scale Spatio-Temporal Learning with Application to Climate Modeling
Jianpeng Xu, Xi Liu, Tyler Wilson, Pang-Ning Tan, Pouyan Hatami, Lifeng Luo
Multi-Level Metric Learning via Smoothed Wasserstein Distance
Jie Xu, Lei Luo, Cheng Deng, Heng Huang
Label Enhancement for Label Distribution Learning
Ning Xu, An Tao, Xin Geng
Convergence Analysis of Gradient Descent for Eigenvector Computation
Zhiqiang Xu, Xin Cao, Xin Gao
PredCNN: Predictive Learning with Cascade Convolutions
Ziru Xu, Yunbo Wang, Mingsheng Long, Jianmin Wang
Improving Maximum Likelihood Estimation of Temporal Point Process via Discriminative and Adversarial Learning
Junchi Yan, Xin Liu, Liangliang Shi, Changsheng Li, Hongyuan Zha
A Unified Analysis of Stochastic Momentum Methods for Deep Learning
Yan Yan, Tianbao Yang, Zhe Li, Qihang Lin, Yi Yang
Cost-Effective Active Learning for Hierarchical Multi-Label Classification
Yi-Fan Yan, Sheng-Jun Huang
Semi-Supervised Optimal Transport for Heterogeneous Domain Adaptation
Yuguang Yan, Wen Li, Hanrui Wu, Huaqing Min, Mingkui Tan, Qingyao Wu
Spatio-Temporal Check-in Time Prediction with Recurrent Neural Network based Survival Analysis
Guolei Yang, Ying Cai, Chandan K Reddy
A Unified Approach for Multi-step Temporal-Difference Learning with Eligibility Traces in Reinforcement Learning
Long Yang, Minhao Shi, Qian Zheng, Wenjia Meng, Gang Pan
Bandit Online Learning on Graphs via Adaptive Optimization
Peng Yang, Peilin Zhao, Xin Gao
Semi-Supervised Multi-Modal Learning with Incomplete Modalities
Yang Yang, De-Chuan Zhan, Xiang-Rong Sheng, Yuan Jiang
High-dimensional Similarity Learning via Dual-sparse Random Projection
Dezhong Yao, Peilin Zhao, Tuan-Anh Nguyen Pham, Gao Cong
Distance Metric Facilitated Transportation between Heterogeneous Domains
Han-Jia Ye, Xiang-Rong Sheng, De-Chuan Zhan, Peng He
Stochastic Fractional Hamiltonian Monte Carlo
Nanyang Ye, Zhanxing Zhu
Hashing over Predicted Future Frames for Informed Exploration of Deep Reinforcement Learning
Haiyan Yin, Jianda Chen, Sinno Jialin Pan
Request-and-Reverify: Hierarchical Hypothesis Testing for Concept Drift Detection with Expensive Labels
Shujian Yu, Xiaoyang Wang, José C. Príncipe
A Generic Approach for Accelerating Stochastic Zeroth-Order Convex Optimization
Xiaotian Yu, Irwin King, Michael R. Lyu, Tianbao Yang
Mixture of GANs for Clustering
Yang Yu, Wen-Ji Zhou
FISH-MML: Fisher-HSIC Multi-View Metric Learning
Changqing Zhang, Yeqinq Liu, Yue Liu, Qinghua Hu, Xinwang Liu, Pengfei Zhu
Learning Environmental Calibration Actions for Policy Self-Evolution
Chao Zhang, Yang Yu, Zhi-Hua Zhou
Learning to Design Games: Strategic Environments in Reinforcement Learning
Haifeng Zhang, Jun Wang, Zhiming Zhou, Weinan Zhang, Yin Wen, Yong Yu, Wenxin Li
Generative Warfare Nets: Ensemble via Adversaries and Collaborators
Honglun Zhang, Liqiang Xiao, Wenqing Chen, Yongkun Wang, Yaohui Jin
Scalable Multiplex Network Embedding
Hongming Zhang, Liwei Qiu, Lingling Yi, Yangqiu Song
Dynamically Hierarchy Revolution: DirNet for Compressing Recurrent Neural Network on Mobile Devices
Jie Zhang, Xiaolong Wang, Dawei Li, Yalin Wang
Achieving Non-Discrimination in Prediction
Lu Zhang, Yongkai Wu, Xintao Wu
Semi-Supervised Optimal Margin Distribution Machines
Teng Zhang, Zhi-Hua Zhou
Multi-modality Sensor Data Classification with Selective Attention
Xiang Zhang, Lina Yao, Chaoran Huang, Sen Wang, Mingkui Tan, Guodong Long, Can Wang
Online Kernel Selection via Incremental Sketched Kernel Alignment
Xiao Zhang, Shizhong Liao
Label-Sensitive Task Grouping by Bayesian Nonparametric Approach for Multi-Task Multi-Label Learning
Xiao Zhang, Wenzhong Li, Vu Nguyen, Fuzhen Zhuang, Hui Xiong, Sanglu Lu
Multi-Task Clustering with Model Relation Learning
Xiaotong Zhang, Xianchao Zhang, Han Liu, Jiebo Luo
Self-Supervised Deep Low-Rank Assignment Model for Prototype Selection
Xingxing Zhang, Zhenfeng Zhu, Yao Zhao, Deqiang Kong
Distributed Self-Paced Learning in Alternating Direction Method of Multipliers
Xuchao Zhang, Liang Zhao, Zhiqian Chen, Chang-Tien Lu
ANRL: Attributed Network Representation Learning via Deep Neural Networks
Zhen Zhang, Hongxia Yang, Jiajun Bu, Sheng Zhou, Pinggang Yu, Jianwei Zhang, Martin Ester, Can Wang
Dynamic Hypergraph Structure Learning
Zizhao Zhang, Haojie Lin, Yue Gao
Deep Convolutional Neural Networks with Merge-and-Run Mappings
Liming Zhao, Mingjie Li, Depu Meng, Xi Li, Zhaoxiang Zhang, Yueting Zhuang, Zhuowen Tu, Jingdong Wang
Grouping Attribute Recognition for Pedestrian with Joint Recurrent Learning
Xin Zhao, Liufang Sang, Guiguang Ding, Yuchen Guo, Xiaoming Jin
Attentional Image Retweet Modeling via Multi-Faceted Ranking Network Learning
Zhou Zhao, Lingtao Meng, Jun Xiao, Min Yang, Fei Wu, Deng Cai, Xiaofei He, Yueting Zhuang
Robust Feature Selection on Incomplete Data
Wei Zheng, Xiaofeng Zhu, Yonghua Zhu, Shichao Zhang
Self-Adaptive Double Bootstrapped DDPG
Zhuobin Zheng, Chun Yuan, Zhihui Lin, Yangyang Cheng, Hanghao Wu
Where to Prune: Using LSTM to Guide End-to-end Pruning
Jing Zhong, Guiguang Ding, Yuchen Guo, Jungong Han, Bin Wang
Trajectory-User Linking via Variational AutoEncoder
Fan Zhou, Qiang Gao, Goce Trajcevski, Kunpeng Zhang, Ting Zhong, Fengli Zhang
On the Convergence Properties of a K-step Averaging Stochastic Gradient Descent Algorithm for Nonconvex Optimization
Fan Zhou, Guojing Cong
Cost-aware Cascading Bandits
Ruida Zhou, Chao Gan, Jing Yang, Cong Shen
Towards Generalized and Efficient Metric Learning on Riemannian Manifold
Pengfei Zhu, Hao Cheng, Qinghua Hu, Qilong Wang, Changqing Zhang
Beyond Similar and Dissimilar Relations : A Kernel Regression Formulation for Metric Learning
Pengfei Zhu, Ren Qi, Qinghua Hu, Qilong Wang, Changqing Zhang, Liu Yang
Fast Model Identification via Physics Engines for Data-Efficient Policy Search
Shaojun Zhu, Andrew Kimmel, Kostas E. Bekris, Abdeslam Boularias
Robust Graph Dimensionality Reduction
Xiaofeng Zhu, Cong Lei, Hao Yu, Yonggang Li, Jiangzhang Gan, Shichao Zhang
Improving Deep Neural Network Sparsity through Decorrelation Regularization
Xiaotian Zhu, Wengang Zhou, Houqiang Li
Localized Incomplete Multiple Kernel k-means
Xinzhong Zhu, Xinwang Liu, Miaomiao Li, En Zhu, Li Liu, Zhiping Cai, Jianping Yin, Wen Gao
Robust Multi-view Learning via Half-quadratic Minimization
Yonghua Zhu, Xiaofeng Zhu, Wei Zheng
Machine Learning Applications
Sampling for Approximate Bipartite Network Projection
Nesreen Ahmed, Nick Duffield, Liangzhen Xia
A Fast and Accurate Method for Estimating People Flow from Spatiotemporal Population Data
Yasunori Akagi, Takuya Nishimura, Takeshi Kurashima, Hiroyuki Toda
Content-Aware Hierarchical Point-of-Interest Embedding Model for Successive POI Recommendation
Buru Chang, Yonggyu Park, Donghyeon Park, Seongsoon Kim, Jaewoo Kang
Beyond the Click-Through Rate: Web Link Selection with Multi-level Feedback
Kun Chen, Kechao Cai, Longbo Huang, John C.S. Lui
NeuCast: Seasonal Neural Forecast of Power Grid Time Series
Pudi Chen, Shenghua Liu, Chuan Shi, Bryan Hooi, Bai Wang, Xueqi Cheng
Predicting Complex Activities from Ongoing Multivariate Time Series
Weihao Cheng, Sarah Erfani, Rui Zhang, Ramamohanarao Kotagiri
DELF: A Dual-Embedding based Deep Latent Factor Model for Recommendation
Weiyu Cheng, Yanyan Shen, Yanmin Zhu, Linpeng Huang
Learning to Recognize Transient Sound Events using Attentional Supervision
Szu-Yu Chou, Jyh-Shing Jang, Yi-Hsuan Yang
Improving Implicit Recommender Systems with View Data
Jingtao Ding, Guanghui Yu, Xiangnan He, Yuhan Quan, Yong Li, Tat-Seng Chua, Depeng Jin, Jiajie Yu
Recurrent Collaborative Filtering for Unifying General and Sequential Recommender
Disheng Dong, Xiaolin Zheng, Ruixun Zhang, Yan Wang
Automatic Opioid User Detection from Twitter: Transductive Ensemble Built on Different Meta-graph Based Similarities over Heterogeneous Information Network
Yujie Fan, Yiming Zhang, Yanfang Ye, Xin Li
Deep Attributed Network Embedding
Hongchang Gao, Heng Huang
Interpretable Drug Target Prediction Using Deep Neural Representation
Kyle Yingkai Gao, Achille Fokoue, Heng Luo, Arun Iyengar, Sanjoy Dey, Ping Zhang
Recommendation with Multi-Source Heterogeneous Information
Li Gao, Hong Yang, Jia Wu, Chuan Zhou, Weixue Lu, Yue Hu
Discrete Interventions in Hawkes Processes with Applications in Invasive Species Management
Amrita Gupta, Mehrdad Farajtabar, Bistra Dilkina, Hongyuan Zha
Aspect-Level Deep Collaborative Filtering via Heterogeneous Information Networks
Xiaotian Han, Chuan Shi, Senzhang Wang, Philip S. Yu, Li Song
Interpretable Recommendation via Attraction Modeling: Learning Multilevel Attractiveness over Multimodal Movie Contents
Liang Hu, Songlei Jian, Longbing Cao, Qingkui Chen
Integrative Network Embedding via Deep Joint Reconstruction
Di Jin, Meng Ge, Liang Yang, Dongxiao He, Longbiao Wang, Weixiong Zhang
Modeling Contemporaneous Basket Sequences with Twin Networks for Next-Item Recommendation
Duc-Trong Le, Hady W. Lauw, Yuan Fang
Lightweight Label Propagation for Large-Scale Network Data
De-Ming Liang, Yu-Feng Li
GeoMAN: Multi-level Attention Networks for Geo-sensory Time Series Prediction
Yuxuan Liang, Songyu Ke, Junbo Zhang, Xiuwen Yi, Yu Zheng
Predicting Activity and Location with Multi-task Context Aware Recurrent Neural Network
Dongliang Liao, Weiqing Liu, Yuan Zhong, Jing Li, Guowei Wang
Deep Reinforcement Learning in Ice Hockey for Context-Aware Player Evaluation
Guiliang Liu, Oliver Schulte
Discrete Factorization Machines for Fast Feature-based Recommendation
Han Liu, Xiangnan He, Fuli Feng, Liqiang Nie, Rui Liu, Hanwang Zhang
Hashtag2Vec: Learning Hashtag Representation with Relational Hierarchical Embedding Model
Jie Liu, Zhicheng He, Yalou Huang
Dynamic Bayesian Logistic Matrix Factorization for Recommendation with Implicit Feedback
Yong Liu, Lifan Zhao, Guimei Liu, Xinyan Lu, Peng Gao, Xiao-Li Li, Zhihui Jin
LC-RNN: A Deep Learning Model for Traffic Speed Prediction
Zhongjian Lv, Jiajie Xu, Kai Zheng, Hongzhi Yin, Pengpeng Zhao, Xiaofang Zhou
Drug Similarity Integration Through Attentive Multi-view Graph Auto-Encoders
Tengfei Ma, Cao Xiao, Jiayu Zhou, Fei Wang
Your Tweets Reveal What You Like: Introducing Cross-media Content Information into Multi-domain Recommendation
Weizhi Ma, Min Zhang, Chenyang Wang, Cheng Luo, Yiqun Liu, Shaoping Ma
From Reality to Perception: Genre-Based Neural Image Style Transfer
Zhuoqi Ma, Nannan Wang, Xinbo Gao, Jie Li
On Whom Should I Perform this Lab Test Next? An Active Feature Elicitation Approach
Sriraam Natarajan, Srijita Das, Nandini Ramanan, Gautam Kunapuli, Predrag Radivojac
Hierarchical Electricity Time Series Forecasting for Integrating Consumption Patterns Analysis and Aggregation Consistency
Yue Pang, Bo Yao, Xiangdong Zhou, Yong Zhang, Yiming Xu, Zijing Tan
ANOMALOUS: A Joint Modeling Approach for Anomaly Detection on Attributed Networks
Zhen Peng, Minnan Luo, Jundong Li, Huan Liu, Qinghua Zheng
Pairwise-Ranking based Collaborative Recurrent Neural Networks for Clinical Event Prediction
Zhi Qiao, Shiwan Zhao, Cao Xiao, Xiang Li, Yong Qin, Fei Wang
Hybrid Approach of Relation Network and Localized Graph Convolutional Filtering for Breast Cancer Subtype Classification
Sungmin Rhee, Seokjun Seo, Sun Kim
Improving Information Centrality of a Node in Complex Networks by Adding Edges
Liren Shan, Yuhao Yi, Zhongzhi Zhang
A Joint Learning Approach to Intelligent Job Interview Assessment
Dazhong Shen, Hengshu Zhu, Chen Zhu, Tong Xu, Chao Ma, Hui Xiong
Discrete Network Embedding
Xiaobo Shen, Shirui Pan, Weiwei Liu, Yew-Soon Ong, Quan-Sen Sun
Estimating Latent People Flow without Tracking Individuals
Yusuke Tanaka, Tomoharu Iwata, Takeshi Kurashima, Hiroyuki Toda, Naonori Ueda
Power-law Distribution Aware Trust Prediction
Xiao Wang, Ziwei Zhang, Jing Wang, Peng Cui, Shiqiang Yang
Real-time Traffic Pattern Analysis and Inference with Sparse Video Surveillance Information
Yang Wang, Yiwei Xiao, Xike Xie, Ruoyu Chen, Hengchang Liu
Predicting the Spatio-Temporal Evolution of Chronic Diseases in Population with Human Mobility Data
Yingzi Wang, Xiao Zhou, Anastasios Noulas, Cecilia Mascolo, Xing Xie, Enhong Chen
Matrix completion with Preference Ranking for Top-N Recommendation
Zengmao Wang, Yuhong Guo, Bo Du
Where Have You Been? Inferring Career Trajectory from Academic Social Network
Kan Wu, Jie Tang, Chenhui Zhang
Extracting Job Title Hierarchy from Career Trajectories: A Bayesian Perspective
Huang Xu, Zhiwen Yu, Bin Guo, Mingfei Teng, Hui Xiong
Line separation from topographic maps using regional color and spatial information
Pengfei Xu, Qiguang Miao, Tiange Liu, Xiaojiang Chen, Dingyi Fang
3-in-1 Correlated Embedding via Adaptive Exploration of the Structure and Semantic Subspaces
Liang Yang, Yuanfang Guo, Di Jin, Huazhu Fu, Xiaochun Cao
Biharmonic Distance Related Centrality for Edges in Weighted Networks
Yuhao Yi, Liren Shan, Huan Li, Zhongzhi Zhang
Joint Learning of Phenotypes and Diagnosis-Medication Correspondence via Hidden Interaction Tensor Factorization
Kejing Yin, William K. Cheung, Yang Liu, Benjamin C. M. Fung, Jonathan Poon
Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting
Bing Yu, Haoteng Yin, Zhanxing Zhu
Task-Guided and Semantic-Aware Ranking for Academic Author-Paper Correlation Inference
Chuxu Zhang, Lu Yu, Xiangliang Zhang, Nitesh V. Chawla
Finding Communities with Hierarchical Semantics by Distinguishing General and Specialized topics
Ge Zhang, Di Jin, Jian Gao, Pengfei Jiao, Françoise Fogelman-Soulié, Xin Huang
DeepTravel: a Neural Network Based Travel Time Estimation Model with Auxiliary Supervision
Hanyuan Zhang, Hao Wu, Weiwei Sun, Baihua Zheng
CoupledCF: Learning Explicit and Implicit User-item Couplings in Recommendation for Deep Collaborative Filtering
Quangui Zhang, Longbing Cao, Chengzhang Zhu, Zhiqiang Li, Jinguang Sun
NeuRec: On Nonlinear Transformation for Personalized Ranking
Shuai Zhang, Lina Yao, Aixin Sun, Sen Wang, Guodong Long, Manqing Dong
PLASTIC: Prioritize Long and Short-term Information in Top-n Recommendation using Adversarial Training
Wei Zhao, Benyou Wang, Jianbo Ye, Yongqiang Gao, Min Yang, Xiaojun Chen
Open-Ended Long-form Video Question Answering via Adaptive Hierarchical Reinforced Networks
Zhou Zhao, Zhu Zhang, Shuwen Xiao, Zhou Yu, Jun Yu, Deng Cai, Fei Wu, Yueting Zhuang
Multi-Turn Video Question Answering via Multi-Stream Hierarchical Attention Context Network
Zhou Zhao, Xinghua Jiang, Deng Cai, Jun Xiao, Xiaofei He, Shiliang Pu
Fast Vehicle Identification in Surveillance via Ranked Semantic Sampling Based Embedding
Feng Zheng, Xin Miao, Heng Huang
JUMP: a Jointly Predictor for User Click and Dwell Time
Tengfei Zhou, Hui Qian, Zebang Shen, Chao Zhang, Chengwei Wang, Shichen Liu, Wenwu Ou
A Deep Framework for Cross-Domain and Cross-System Recommendations
Feng Zhu, Yan Wang, Chaochao Chen, Guanfeng Liu, Mehmet Orgun, Jia Wu
A Local Algorithm for Product Return Prediction in E-Commerce
Yada Zhu, Jianbo Li, Jingrui He, Brian L. Quanz, Ajay A. Deshpande
Globally Optimized Mutual Influence Aware Ranking in E-Commerce Search
Tao Zhuang, Wenwu Ou, Zhirong Wang
Periodic-CRN: A Convolutional Recurrent Model for Crowd Density Prediction with Recurring Periodic Patterns
Ali Zonoozi, Jung-jae Kim, Xiao-Li Li, Gao Cong
Multidisciplinary Topics and Applications
Curriculum Adversarial Training
Qi-Zhi Cai, Chang Liu, Dawn Song
A^3NCF: An Adaptive Aspect Attention Model for Rating Prediction
Zhiyong Cheng, Ying Ding, Xiangnan He, Lei Zhu, Xuemeng Song, Mohan Kankanhalli
Fact Checking via Evidence Patterns
Valeria Fionda, Giuseppe Pirrò
Three-Head Neural Network Architecture for Monte Carlo Tree Search
Chao Gao, Martin Müller, Ryan Hayward
Adversarial Regression for Detecting Attacks in Cyber-Physical Systems
Amin Ghafouri, Yevgeniy Vorobeychik, Xenofon Koutsoukos
Tag-based Weakly-supervised Hashing for Image Retrieval
Ziyu Guan, Fei Xie, Wanqing Zhao, Xiaopeng Wang, Long Chen, Wei Zhao, Jinye Peng
Adversarial Task Assignment
Chen Hajaj, Yevgeniy Vorobeychik
A Social Interaction Activity based Time-Varying User Vectorization Method for Online Social Networks
Tianyi Hao, Longbo Huang
Social Media based Simulation Models for Understanding Disease Dynamics
Ting Hua, Chandan K Reddy, Lei Zhang, Lijing Wang, Liang Zhao, Chang-Tien Lu, Naren Ramakrishnan
Towards Better Representation Learning for Personalized News Recommendation: a Multi-Channel Deep Fusion Approach
Jianxun Lian, Fuzheng Zhang, Xing Xie, Guangzhong Sun
A Non-Parametric Generative Model for Human Trajectories
Kun Ouyang, Reza Shokri, David S. Rosenblum, Wenzhuo Yang
DyNMF: Role Analytics in Dynamic Social Networks
Yulong Pei, Jianpeng Zhang, George Fletcher, Mykola Pechenizkiy
LSTM Networks for Online Cross-Network Recommendations
Dilruk Perera, Roger Zimmermann
Neural User Response Generator: Fake News Detection with Collective User Intelligence
Feng Qian, Chengyue Gong, Karishma Sharma, Yan Liu
Weakly Learning to Match Experts in Online Community
Yujie Qian, Jie Tang, Kan Wu
Optimal Cruiser-Drone Traffic Enforcement Under Energy Limitation
Ariel Rosenfeld, Oleg Maksimov, Sarit Kraus
Path Evaluation and Centralities in Weighted Graphs - An Axiomatic Approach
Jadwiga Sosnowska, Oskar Skibski
MASTER: across Multiple social networks, integrate Attribute and STructure Embedding for Reconciliation
Sen Su, Li Sun, Zhongbao Zhang, Gen Li, Jielun Qu
A Group-based Approach to Improve Multifactorial Evolutionary Algorithm
Jing Tang, Yingke Chen, Zixuan Deng, Yanping Xiang, Colin Paul Joy
Exploiting POI-Specific Geographical Influence for Point-of-Interest Recommendation
Hao Wang, Huawei Shen, Wentao Ouyang, Xueqi Cheng
High-Fidelity Simulated Players for Interactive Narrative Planning
Pengcheng Wang, Jonathan Rowe, Wookhee Min, Bradford Mott, James Lester
Cascaded SR-GAN for Scale-Adaptive Low Resolution Person Re-identification
Zheng Wang, Mang Ye, Fan Yang, Xiang Bai, Shin'ichi Satoh
Axiomatization of the PageRank Centrality
Tomasz Wąs, Oskar Skibski
Generating Adversarial Examples with Adversarial Networks
Chaowei Xiao, Bo Li, Jun-yan Zhu, Warren He, Mingyan Liu, Dawn Song
From the Periphery to the Core: Information Brokerage in an Evolving Network
Bo Yan, Yiping Liu, Jiamou Liu, Yijin Cai, Hongyi Su, Hong Zheng
Representing Urban Functions through Zone Embedding with Human Mobility Patterns
Zijun Yao, Yanjie Fu, Bin Liu, Wangsu Hu, Hui Xiong
Sequential Recommender System based on Hierarchical Attention Networks
Haochao Ying, Fuzhen Zhuang, Fuzheng Zhang, Yanchi Liu, Guandong Xu, Xing Xie, Hui Xiong, Jian Wu
GELU-Net: A Globally Encrypted, Locally Unencrypted Deep Neural Network for Privacy-Preserved Learning
Qiao Zhang, Cong Wang, Hongyi Wu, Chunsheng Xin, Tran V. Phuong
Impression Allocation for Combating Fraud in E-commerce Via Deep Reinforcement Learning with Action Norm Penalty
Mengchen Zhao, Zhao Li, Bo An, Haifeng Lu, Yifan Yang, Chen Chu
A Brand-level Ranking System with the Customized Attention-GRU Model
Yu Zhu, Junxiong Zhu, Jie Hou, Yongliang Li, Beidou Wang, Ziyu Guan, Deng Cai
Natural Language Processing
Translations as Additional Contexts for Sentence Classification
Reinald Kim Amplayo, Kyungjae Lee, Jinyoung Yeo, Seung-won Hwang
Empirical Analysis of Foundational Distinctions in Linked Open Data
Luigi Asprino, Valerio Basile, Paolo Ciancarini, Valentina Presutti
Think Globally, Embed Locally --- Locally Linear Meta-embedding of Words
Danushka Bollegala, Kohei Hayashi, Ken-ichi Kawarabayashi
An Encoder-Decoder Framework Translating Natural Language to Database Queries
Ruichu Cai, Boyan Xu, Zhenjie Zhang, Xiaoyan Yang, Zijian Li, Zhihao Liang
Medical Concept Embedding with Time-Aware Attention
Xiangrui Cai, Jinyang Gao, Kee Yuan Ngiam, Beng Chin Ooi, Ying Zhang, Xiaojie Yuan
Point Set Registration for Unsupervised Bilingual Lexicon Induction
Hailong Cao, Tiejun Zhao
Co-training Embeddings of Knowledge Graphs and Entity Descriptions for Cross-lingual Entity Alignment
Muhao Chen, Yingtao Tian, Kai-Wei Chang, Steven Skiena, Carlo Zaniolo
TreeNet: Learning Sentence Representations with Unconstrained Tree Structure
Zhou Cheng, Chun Yuan, Jiancheng Li, Haiqin Yang
Adversarial Active Learning for Sequences Labeling and Generation
Yue Deng, KaWai Chen, Yilin Shen, Hongxia Jin
Submodularity-Inspired Data Selection for Goal-Oriented Chatbot Training Based on Sentence Embeddings
Mladen Dimovski, Claudiu Musat, Vladimir Ilievski, Andreea Hossman, Michael Baeriswyl
Domain Adaptation via Tree Kernel Based Maximum Mean Discrepancy for User Consumption Intention Identification
Xiao Ding, Bibo Cai, Ting Liu, Qiankun Shi
Attention-Fused Deep Matching Network for Natural Language Inference
Chaoqun Duan, Lei Cui, Xinchi Chen, Furu Wei, Conghui Zhu, Tiejun Zhao
A Deep Modular RNN Approach for Ethos Mining
Rory Duthie, Katarzyna Budzynska
A Question Type Driven Framework to Diversify Visual Question Generation
Zhihao Fan, Zhongyu Wei, Piji Li, Yanyan Lan, Xuanjing Huang
Efficient Pruning of Large Knowledge Graphs
Stefano Faralli, Irene Finocchi, Simone Paolo Ponzetto, Paola Velardi
Extracting Action Sequences from Texts Based on Deep Reinforcement Learning
Wenfeng Feng, Hankz Hankui Zhuo, Subbarao Kambhampati
Improving Low Resource Named Entity Recognition using Cross-lingual Knowledge Transfer
Xiaocheng Feng, Xiachong Feng, Bing Qin, Zhangyin Feng, Ting Liu
Topic-to-Essay Generation with Neural Networks
Xiaocheng Feng, Ming Liu, Jiahao Liu, Bing Qin, Yibo Sun, Ting Liu
EZLearn: Exploiting Organic Supervision in Automated Data Annotation
Maxim Grechkin, Hoifung Poon, Bill Howe
Approximating Word Ranking and Negative Sampling for Word Embedding
Guibing Guo, Shichang Ouyang, Fajie Yuan, Xingwei Wang
Reinforced Mnemonic Reader for Machine Reading Comprehension
Minghao Hu, Yuxing Peng, Zhen Huang, Xipeng Qiu, Furu Wei, Ming Zhou
Improving Entity Recommendation with Search Log and Multi-Task Learning
Jizhou Huang, Wei Zhang, Yaming Sun, Haifeng Wang, Ting Liu
Goal-Oriented Chatbot Dialog Management Bootstrapping with Transfer Learning
Vladimir Ilievski, Claudiu Musat, Andreea Hossman, Michael Baeriswyl
Mitigating the Effect of Out-of-Vocabulary Entity Pairs in Matrix Factorization for KB Inference
Prachi Jain, Shikhar Murty, Mausam, Soumen Chakrabarti
Learning to Give Feedback: Modeling Attributes Affecting Argument Persuasiveness in Student Essays
Zixuan Ke, Winston Carlile, Nishant Gurrapadi, Vincent Ng
ACV-tree: A New Method for Sentence Similarity Modeling
Yuquan Le, Zhi-Jie Wang, Zhe Quan, Jiawei He, Bin Yao
An Adaptive Hierarchical Compositional Model for Phrase Embedding
Bing Li, Xiaochun Yang, Bin Wang, Wei Wang, Wei Cui, Xianchao Zhang
Multi-modal Sentence Summarization with Modality Attention and Image Filtering
Haoran Li, Junnan Zhu, Tianshang Liu, Jiajun Zhang, Chengqing Zong
Code Completion with Neural Attention and Pointer Networks
Jian Li, Yue Wang, Michael R. Lyu, Irwin King
SegBot: A Generic Neural Text Segmentation Model with Pointer Network
Jing Li, Aixin Sun, Shafiq Joty
Adaboost with Auto-Evaluation for Conversational Models
Juncen Li, Ping Luo, Ganbin Zhou, Fen Lin, Cheng Niu
Non-translational Alignment for Multi-relational Networks
Shengnan Li, Xin Li, Rui Ye, Mingzhong Wang, Haiping Su, Yingzi Ou
Learning Word Vectors with Linear Constraints: A Matrix Factorization Approach
Wenye Li, Jiawei Zhang, Jianjun Zhou, Laizhong Cui
Aspect Term Extraction with History Attention and Selective Transformation
Xin Li, Lidong Bing, Piji Li, Wai Lam, Zhimou Yang
Constructing Narrative Event Evolutionary Graph for Script Event Prediction
Zhongyang Li, Xiao Ding, Ting Liu
Deep Text Classification Can be Fooled
Bin Liang, Hongcheng Li, Miaoqiang Su, Pan Bian, Xirong Li, Wenchang Shi
Feature Enhancement in Attention for Visual Question Answering
Yuetan Lin, Zhangyang Pang, Donghui Wang, Yueting Zhuang
Curriculum Learning for Natural Answer Generation
Cao Liu, Shizhu He, Kang Liu, Jun Zhao
Learning to Explain Ambiguous Headlines of Online News
Tianyu Liu, Wei Wei, Xiaojun Wan
Jumper: Learning When to Make Classification Decision in Reading
Xianggen Liu, Lili Mou, Haotian Cui, Zhengdong Lu, Sen Song
Beyond Polarity: Interpretable Financial Sentiment Analysis with Hierarchical Query-driven Attention
Ling Luo, Xiang Ao, Feiyang Pan, Jin Wang, Tong Zhao, Ningzi Yu, Qing He
A Hierarchical End-to-End Model for Jointly Improving Text Summarization and Sentiment Classification
Shuming Ma, Xu Sun, Junyang Lin, Xuancheng Ren
Show and Tell More: Topic-Oriented Multi-Sentence Image Captioning
Yuzhao Mao, Chang Zhou, Xiaojie Wang, Ruifan Li
Answering Mixed Type Questions about Daily Living Episodes
Taiki Miyanishi, Jun-ichiro Hirayama, Atsunori Kanemura, Motoaki Kawanabe
ElimiNet: A Model for Eliminating Options for Reading Comprehension with Multiple Choice Questions
Soham Parikh, Ananya Sai, Preksha Nema, Mitesh Khapra
Assigning Personality/Profile to a Chatting Machine for Coherent Conversation Generation
Qiao Qian, Minlie Huang, Haizhou Zhao, Jingfang Xu, Xiaoyan Zhu
Translating Embeddings for Knowledge Graph Completion with Relation Attention Mechanism
Wei Qian, Cong Fu, Yu Zhu, Deng Cai, Xiaofei He
Event Factuality Identification via Generative Adversarial Networks with Auxiliary Classification
Zhong Qian, Peifeng Li, Yue Zhang, Guodong Zhou, Qiaoming Zhu
Inferring Temporal Knowledge for Near-Periodic Recurrent Events
Dinesh Raghu, Surag Nair, Mausam
Learning Out-of-Vocabulary Words in Intelligent Personal Agents
Avik Ray, Yilin Shen, Hongxia Jin
Joint Posterior Revision of NLP Annotations via Ontological Knowledge
Marco Rospocher, Francesco Corcoglioniti
Interpretable Adversarial Perturbation in Input Embedding Space for Text
Motoki Sato, Jun Suzuki, Hiroyuki Shindo, Yuji Matsumoto
Functional Partitioning of Ontologies for Natural Language Query Completion in Question Answering Systems
Jaydeep Sen, Ashish Mittal, Diptikalyan Saha, Karthik Sankaranarayanan
Learning to Converse with Noisy Data: Generation with Calibration
Mingyue Shang, Zhenxin Fu, Nanyun Peng, Yansong Feng, Dongyan Zhao, Rui Yan
Reinforced Self-Attention Network: a Hybrid of Hard and Soft Attention for Sequence Modeling
Tao Shen, Tianyi Zhou, Guodong Long, Jing Jiang, Sen Wang, Chengqi Zhang
Listen, Think and Listen Again: Capturing Top-down Auditory Attention for Speaker-independent Speech Separation
Jing Shi, Jiaming Xu, Guangcan Liu, Bo Xu
Toward Diverse Text Generation with Inverse Reinforcement Learning
Zhan Shi, Xinchi Chen, Xipeng Qiu, Xuanjing Huang
Complementary Learning of Word Embeddings
Yan Song, Shuming Shi
Joint Learning Embeddings for Chinese Words and their Components via Ladder Structured Networks
Yan Song, Shuming Shi, Jing Li
An Ensemble of Retrieval-Based and Generation-Based Human-Computer Conversation Systems
Yiping Song, Cheng-Te Li, Jian-Yun Nie, Ming Zhang, Dongyan Zhao, Rui Yan
Exploring Encoder-Decoder Model for Distant Supervised Relation Extraction
Sen Su, Ningning Jia, Xiang Cheng, Shuguang Zhu, Ruiping Li
Bootstrapping Entity Alignment with Knowledge Graph Embedding
Zequn Sun, Wei Hu, Qingheng Zhang, Yuzhong Qu
A Weakly Supervised Method for Topic Segmentation and Labeling in Goal-oriented Dialogues via Reinforcement Learning
Ryuichi Takanobu, Minlie Huang, Zhongzhou Zhao, Fenglin Li, Haiqing Chen, Xiaoyan Zhu, Liqiang Nie
Multiway Attention Networks for Modeling Sentence Pairs
Chuanqi Tan, Furu Wei, Wenhui Wang, Weifeng Lv, Ming Zhou
Get The Point of My Utterance! Learning Towards Effective Responses with Multi-Head Attention Mechanism
Chongyang Tao, Shen Gao, Mingyue Shang, Wei Wu, Dongyan Zhao, Rui Yan
Hermitian Co-Attention Networks for Text Matching in Asymmetrical Domains
Yi Tay, Anh Tuan Luu, Siu Cheung Hui
One "Ruler" for All Languages: Multi-Lingual Dialogue Evaluation with Adversarial Multi-Task Learning
Xiaowei Tong, Zhenxin Fu, Mingyue Shang, Dongyan Zhao, Rui Yan
Aspect Sentiment Classification with both Word-level and Clause-level Attention Networks
Jingjing Wang, Jie Li, Shoushan Li, Yangyang Kang, Min Zhang, Luo Si, Guodong Zhou
SentiGAN: Generating Sentimental Texts via Mixture Adversarial Networks
Ke Wang, Xiaojun Wan
A Reinforced Topic-Aware Convolutional Sequence-to-Sequence Model for Abstractive Text Summarization
Li Wang, Junlin Yao, Yunzhe Tao, Li Zhong, Wei Liu, Qiang Du
Joint Extraction of Entities and Relations Based on a Novel Graph Scheme
Shaolei Wang, Yue Zhang, Wanxiang Che, Ting Liu
Densely Connected CNN with Multi-scale Feature Attention for Text Classification
Shiyao Wang, Minlie Huang, Zhidong Deng
Transition-based Adversarial Network for Cross-lingual Aspect Extraction
Wenya Wang, Sinno Jialin Pan
Quality Matters: Assessing cQA Pair Quality via Transductive Multi-View Learning
Xiaochi Wei, Heyan Huang, Liqiang Nie, Fuli Feng, Richang Hong, Tat-Seng Chua
Instance Weighting with Applications to Cross-domain Text Classification via Trading off Sample Selection Bias and Variance
Rui Xia, Zhenchun Pan, Feng Xu
Transformable Convolutional Neural Network for Text Classification
Liqiang Xiao, Honglun Zhang, Wenqing Chen, Yongkun Wang, Yaohui Jin
Scheduled Policy Optimization for Natural Language Communication with Intelligent Agents
Wenhan Xiong, Xiaoxiao Guo, Mo Yu, Shiyu Chang, Bowen Zhou, William Yang Wang
Lifelong Domain Word Embedding via Meta-Learning
Hu Xu, Bing Liu, Lei Shu, Philip S. Yu
Enhancing Semantic Representations of Bilingual Word Embeddings with Syntactic Dependencies
Linli Xu, Wenjun Ouyang, Xiaoying Ren, Yang Wang, Liang Jiang
Smarter Response with Proactive Suggestion: A New Generative Neural Conversation Paradigm
Rui Yan, Dongyan Zhao
Ensemble Neural Relation Extraction with Adaptive Boosting
Dongdong Yang, Senzhang Wang, Zhoujun Li
Generating Thematic Chinese Poetry using Conditional Variational Autoencoders with Hybrid Decoders
Xiaopeng Yang, Xiaowen Lin, Shunda Suo, Ming Li
Teaching Machines to Ask Questions
Kaichun Yao, Libo Zhang, Tiejian Luo, Lili Tao, Yanjun Wu
Chinese Poetry Generation with a Working Memory Model
Xiaoyuan Yi, Maosong Sun, Ruoyu Li, Zonghan Yang
Biased Random Walk based Social Regularization for Word Embeddings
Ziqian Zeng, Xin Liu, Yangqiu Song
Reinforcing Coherence for Sequence to Sequence Model in Dialogue Generation
Hainan Zhang, Yanyan Lan, Jiafeng Guo, Jun Xu, Xueqi Cheng
Weakly Supervised Audio Source Separation via Spectrum Energy Preserved Wasserstein Learning
Ning Zhang, Junchi Yan, Yuchen Zhou
Learning Tag Dependencies for Sequence Tagging
Yuan Zhang, Hongshen Chen, Yihong Zhao, Qun Liu, Dawei Yin
Towards Reading Comprehension for Long Documents
Yuanxing Zhang, Yangbin Zhang, Kaigui Bian, Xiaoming Li
Text Emotion Distribution Learning via Multi-Task Convolutional Neural Network
Yuxiang Zhang, Jiamei Fu, Dongyu She, Ying Zhang, Senzhang Wang, Jufeng Yang
Neural Networks Incorporating Unlabeled and Partially-labeled Data for Cross-domain Chinese Word Segmentation
Lujun Zhao, Qi Zhang, Peng Wang, Xiaoyu Liu
Phrase Table as Recommendation Memory for Neural Machine Translation
Yang Zhao, Yining Wang, Jiajun Zhang, Chengqing Zong
Same Representation, Different Attentions: Shareable Sentence Representation Learning from Multiple Tasks
Renjie Zheng, Junkun Chen, Xipeng Qiu
Commonsense Knowledge Aware Conversation Generation with Graph Attention
Hao Zhou, Tom Young, Minlie Huang, Haizhou Zhao, Jingfang Xu, Xiaoyan Zhu
Differentiated Attentive Representation Learning for Sentence Classification
Qianrong Zhou, Xiaojie Wang, Xuan Dong
Planning and Scheduling
Multi-modal Predicate Identification using Dynamically Learned Robot Controllers
Saeid Amiri, Suhua Wei, Shiqi Zhang, Jivko Sinapov, Jesse Thomason, Peter Stone
Scheduling under Uncertainty: A Query-based Approach
Luciana Arantes, Evripidis Bampis, Alexander Kononov, Manthos Letsios, Giorgio Lucarelli, Pierre Sens
Novel Structural Parameters for Acyclic Planning Using Tree Embeddings
Christer Bäckström, Peter Jonsson, Sebastian Ordyniak
Variable-Delay Controllability
Nikhil Bhargava, Christian Muise, Brian Williams
Features, Projections, and Representation Change for Generalized Planning
Blai Bonet, Hector Geffner
Planning and Learning with Stochastic Action Sets
Craig Boutilier, Alon Cohen, Avinatan Hassidim, Yishay Mansour, Ofer Meshi, Martin Mladenov, Dale Schuurmans
LTL Realizability via Safety and Reachability Games
Alberto Camacho, Christian Muise, Jorge A. Baier, Sheila A. McIlraith
Expectation Optimization with Probabilistic Guarantees in POMDPs with Discounted-Sum Objectives
Krishnendu Chatterjee, Adrián Elgyütt, Petr Novotný, Owen Rouillé
Computational Approaches for Stochastic Shortest Path on Succinct MDPs
Krishnendu Chatterjee, Hongfei Fu, Amir Goharshady, Nastaran Okati
Local Minima, Heavy Tails, and Search Effort for GBFS
Eldan Cohen, J. Christopher Beck
Analyzing Tie-Breaking Strategies for the A* Algorithm
Augusto B. Corrêa, André G. Pereira, Marcus Ritt
Emergency Response Optimization using Online Hybrid Planning
Durga Harish Dayapule, Aswin Raghavan, Prasad Tadepalli, Alan Fern
Automata-Theoretic Foundations of FOND Planning for LTLf and LDLf Goals
Giuseppe De Giacomo, Sasha Rubin
Complexity of Scheduling Charging in the Smart Grid
Mathijs de Weerdt, Michael Albert, Vincent Conitzer, Koos van der Linden
Traffic Light Scheduling, Value of Time, and Incentives
Argyrios Deligkas, Erez Karpas, Ron Lavi, Rann Smorodinsky
Unchaining the Power of Partial Delete Relaxation, Part II: Finding Plans with Red-Black State Space Search
Maximilian Fickert, Daniel Gnad, Joerg Hoffmann
Model Checking Probabilistic Epistemic Logic for Probabilistic Multiagent Systems
Chen Fu, Andrea Turrini, Xiaowei Huang, Lei Song, Yuan Feng, Lijun Zhang
Goal-HSVI: Heuristic Search Value Iteration for Goal POMDPs
Karel Horák, Branislav Bošanský, Krishnendu Chatterjee
Learning to Infer Final Plans in Human Team Planning
Joseph Kim, Matthew E. Woicik, Matthew C. Gombolay, Sung-Hyun Son, Julie A. Shah
Small Undecidable Problems in Epistemic Planning
Sébastien Lê Cong, Sophie Pinchinat, François Schwarzentruber
Effect-Abstraction Based Relaxation for Linear Numeric Planning
Dongxu Li, Enrico Scala, Patrik Haslum, Sergiy Bogomolov
Organizing Experience: a Deeper Look at Replay Mechanisms for Sample-Based Planning in Continuous State Domains
Yangchen Pan, Muhammad Zaheer, Adam White, Andrew Patterson, Martha White
Scalable Initial State Interdiction for Factored MDPs
Swetasudha Panda, Yevgeniy Vorobeychik
Counterplanning using Goal Recognition and Landmarks
Alberto Pozanco, Yolanda E-Martín, Susana Fernández, Daniel Borrajo
Planning in Factored State and Action Spaces with Learned Binarized Neural Network Transition Models
Buser Say, Scott Sanner
Dynamic Resource Routing using Real-Time Dynamic Programming
Sebastian Schmoll, Matthias Schubert
Hierarchical Expertise Level Modeling for User Specific Contrastive Explanations
Sarath Sreedharan, Siddharth Srivastava, Subbarao Kambhampati
LP Heuristics over Conjunctions: Compilation, Convergence, Nogood Learning
Marcel Steinmetz, Joerg Hoffmann
Completeness-Preserving Dominance Techniques for Satisficing Planning
Álvaro Torralba
Admissible Abstractions for Near-optimal Task and Motion Planning
William Vega-Brown, Nicholas Roy
PEORL: Integrating Symbolic Planning and Hierarchical Reinforcement Learning for Robust Decision-Making
Fangkai Yang, Daoming Lyu, Bo Liu, Steven Gustafson
Minimax-Regret Querying on Side Effects for Safe Optimality in Factored Markov Decision Processes
Shun Zhang, Edmund H. Durfee, Satinder Singh
GraspNet: An Efficient Convolutional Neural Network for Real-time Grasp Detection for Low-powered Devices
Umar Asif, Jianbin Tang, Stefan Harrer
Learning Transferable UAV for Forest Visual Perception
Lyujie Chen, Wufan Wang, Jihong Zhu
Bayesian Active Edge Evaluation on Expensive Graphs
Sanjiban Choudhury, Siddhartha Srinivasa, Sebastian Scherer
Implicit Non-linear Similarity Scoring for Recognizing Unseen Classes
Yuchen Guo, Guiguang Ding, Jungong Han, Sicheng Zhao, Bin Wang
Interactive Robot Transition Repair With SMT
Jarrett Holtz, Arjun Guha, Joydeep Biswas
Virtual-to-Real: Learning to Control in Visual Semantic Segmentation
Zhang-Wei Hong, Yu-Ming Chen, Hsuan-Kung Yang, Shih-Yang Su, Tzu-Yun Shann, Yi-Hsiang Chang, Brian Hsi-Lin Ho, Chih-Chieh Tu, Tsu-Ching Hsiao, Hsin-Wei Hsiao, Sih-Pin Lai, Yueh-Chuan Chang, Chun-Yi Lee
Online, Interactive User Guidance for High-dimensional, Constrained Motion Planning
Fahad Islam, Oren Salzman, Maxim Likhachev
An Appearance-and-Structure Fusion Network for Object Viewpoint Estimation
Yueying Kao, Weiming Li, Zairan Wang, Dongqing Zou, Ran He, Qiang Wang, Minsu Ahn, Sunghoon Hong
Learning Unmanned Aerial Vehicle Control for Autonomous Target Following
Siyi Li, Tianbo Liu, Chi Zhang, Dit-Yan Yeung, Shaojie Shen
Robot Task Interruption by Learning to Switch Among Multiple Models
Anahita Mohseni-Kabir, Manuela Veloso
Behavioral Cloning from Observation
Faraz Torabi, Garrett Warnell, Peter Stone
3D-PhysNet: Learning the Intuitive Physics of Non-Rigid Object Deformations
Zhihua Wang, Stefano Rosa, Bo Yang, Sen Wang, Niki Trigoni, Andrew Markham
Active Object Reconstruction Using a Guided View Planner
Xin Yang, Yuanbo Wang, Yaru Wang, Baocai Yin, Qiang Zhang, Xiaopeng Wei, Hongbo Fu
Active Recurrence of Lighting Condition for Fine-Grained Change Detection
Qian Zhang, Wei Feng, Liang Wan, Fei-Peng Tian, Ping Tan
Uncertainty in AI
Parameterised Queries and Lifted Query Answering
Tanya Braun, Ralf Möller
Efficient Localized Inference for Large Graphical Models
Jinglin Chen, Jian Peng, Qiang Liu
The Promise and Perils of Myopia in Dynamic Pricing With Censored Information
Meenal Chhabra, Sanmay Das, Ilya Ryzhov
On Robust Trimming of Bayesian Network Classifiers
YooJung Choi, Guy Van den Broeck
Metadata-dependent Infinite Poisson Factorization for Efficiently Modelling Sparse and Large Matrices in Recommendation
Trong Dinh Thac Do, Longbing Cao
Redundancy-resistant Generative Hashing for Image Retrieval
Changying Du, Xingyu Xie, Changde Du, Hao Wang
A Graphical Criterion for Effect Identification in Equivalence Classes of Causal Diagrams
Amin Jaber, Jiji Zhang, Elias Bareinboim
Efficient Symbolic Integration for Probabilistic Inference
Samuel Kolb, Martin Mladenov, Scott Sanner, Vaishak Belle, Kristian Kersting
Policy Optimization with Second-Order Advantage Information
Jiajin Li, Baoxiang Wang, Shengyu Zhang
Building Sparse Deep Feedforward Networks using Tree Receptive Fields
Xiaopeng Li, Zhourong Chen, Nevin L. Zhang
Patent Litigation Prediction: A Convolutional Tensor Factorization Approach
Qi Liu, Han Wu, Yuyang Ye, Hongke Zhao, Chuanren Liu, Dongfang Du
Unsupervised Learning based Jump-Diffusion Process for Object Tracking in Video Surveillance
Xiaobai Liu, Donovan Lo, Chau Thuan
Lifted Filtering via Exchangeable Decomposition
Stefan Lüdtke, Max Schröder, Sebastian Bader, Kristian Kersting, Thomas Kirste
Stochastic Anytime Search for Bounding Marginal MAP
Radu Marinescu, Rina Dechter, Alexander Ihler
Estimation with Incomplete Data: The Linear Case
Karthika Mohan, Felix Thoemmes, Judea Pearl
Reliable Multi-class Classification based on Pairwise Epistemic and Aleatoric Uncertainty
Vu-Linh Nguyen, Sébastien Destercke, Marie-Hélène Masson, Eyke Hüllermeier
Algorithms for the Nearest Assignment Problem
Sara Rouhani, Tahrima Rahman, Vibhav Gogate
A Symbolic Approach to Explaining Bayesian Network Classifiers
Andy Shih, Arthur Choi, Adnan Darwiche
Scalable Probabilistic Causal Structure Discovery
Dhanya Sridhar, Jay Pujara, Lise Getoor
A Scalable Scheme for Counting Linear Extensions
Topi Talvitie, Kustaa Kangas, Teppo Niinimäki, Mikko Koivisto
Mixed Causal Structure Discovery with Application to Prescriptive Pricing
Wei Wenjuan, Feng Lu, Liu Chunchen
A Savage-style Utility Theory for Belief Functions
Chunlai Zhou, Biao Qin, Xiaoyong Du

Evolution of the contours of AI

On a Scientific Discipline (Once) Named AI
Wolfgang Bibel
Towards Consumer-Empowering Artificial Intelligence
Giuseppe Contissa, Francesca Lagioia, Marco Lippi, Hans-Wolfgang Micklitz, Przemyslaw Palka, Giovanni Sartor, Paolo Torroni
Artificial Intelligence Conferences Closeness
Sébastien Konieczny, Emmanuel Lonca
Quantifying Algorithmic Improvements over Time
Lars Kotthoff, Alexandre Fréchette, Tomasz Michalak, Talal Rahwan, Holger H. Hoos, Kevin Leyton-Brown
Evolving AI from Research to Real Life – Some Challenges and Suggestions
Sandya Mannarswamy, Shourya Roy
The Facets of Artificial Intelligence: A Framework to Track the Evolution of AI
Fernando Martínez-Plumed, Bao Sheng Loe, Peter Flach, Seán Ó hÉigeartaigh, Karina Vold, José Hernández-Orallo

Sister Conferences Best Papers

Finite Controllability of Conjunctive Query Answering with Existential Rules: Two Steps Forward
Giovanni Amendola, Nicola Leone, Marco Manna
Weighted Bipolar Argumentation Graphs: Axioms and Semantics
Leila Amgoud, Jonathan Ben-Naim
TensorCast: Forecasting Time-Evolving Networks with Contextual Information
Miguel Araújo, Pedro Ribeiro, Christos Faloutsos
A Unifying View of Geometry, Semantics, and Data Association in SLAM
Nikolay Atanasov, Sean L. Bowman, Kostas Daniilidis, George J. Pappas
Reduced Cost Fixing for Maximum Satisfiability
Fahiem Bacchus, Antti Hyttinen, Matti Järvisalo, Paul Saikko
Improving Information Extraction from Images with Learned Semantic Models
Stephan Baier, Yunpu Ma, Volker Tresp
Learning with Sparse and Biased Feedback for Personal Search
Michael Bendersky, Xuanhui Wang, Marc Najork, Donald Metzler
Dynamic Dependency Awareness for QBF
Joshua Blinkhorn, Olaf Beyersdorff
The Finite Model Theory of Bayesian Networks: Descriptive Complexity
Fabio Gagliardi Cozman, Denis Deratani Mauá
Combinatorial Cost Sharing
Shahar Dobzinski, Shahar Ovadia
Importance Sampling for Fair Policy Selection
Shayan Doroudi, Philip S. Thomas, Emma Brunskill
Inductive Certificates of Unsolvability for Domain-Independent Planning
Salomé Eriksson, Gabriele Röger, Malte Helmert
Reducing Controversy by Connecting Opposing Views
Kiran Garimella, Gianmarco De Francisci Morales, Aristides Gionis, Michael Mathioudakis
Toeplitz Inverse Covariance-based Clustering of Multivariate Time Series Data
David Hallac, Sagar Vare, Stephen Boyd, Jure Leskovec
A Model of Distributed Query Computation in Client-Server Scenarios on the Semantic Web
Olaf Hartig, Ian Letter, Jorge Pérez
Translation-based Recommendation: A Scalable Method for Modeling Sequential Behavior
Ruining He, Wang-Cheng Kang, Julian McAuley
Search Progress and Potentially Expanded States in Greedy Best-First Search
Manuel Heusner, Thomas Keller, Malte Helmert
Accelerating Innovation Through Analogy Mining
Tom Hope, Joel Chan, Aniket Kittur, Dafna Shahaf
Make Evasion Harder: An Intelligent Android Malware Detection System
Shifu Hou, Yanfang Ye, Yangqiu Song, Melih Abdulhayoglu
Unbiased Learning-to-Rank with Biased Feedback
Thorsten Joachims, Adith Swaminathan, Tobias Schnabel
Orchestrating a Network of Mereotopological Theories: An Abridged Report
C. Maria Keet, Oliver Kutz
Emergent Tangled Program Graphs in Multi-Task Learning
Stephen Kelly, Malcolm Heywood
Geolocating Images with Crowdsourcing and Diagramming
Rachel Kohler, John Purviance, Kurt Luther
Counterexample-Driven Genetic Programming: Stochastic Synthesis of Provably Correct Programs
Krzysztof Krawiec, Iwo Błądek, Jerry Swan, John H. Drake
Attributed Description Logics: Reasoning on Knowledge Graphs
Markus Krötzsch, Maximilian Marx, Ana Ozaki, Veronika Thost
Multi-Robot Motion Planning with Dynamics Guided by Multi-Agent Search
Duong Le, Erion Plaku
An Empirical Study of Branching Heuristics through the Lens of Global Learning Rate
Jia Liang, Hari Govind, Pascal Poupart, Krzysztof Czarnecki, Vijay Ganesh
Inhibition of Occluded Facial Regions for Distance-Based Face Recognition
Daniel López Sánchez, Juan M. Corchado, Angelica González Arrieta
Cost-Based Goal Recognition for the Path-Planning Domain
Peta Masters, Sebastian Sardina
Distributing Frank-Wolfe via Map-Reduce
Armin Moharrer, Stratis Ioannidis
Completeness-aware Rule Learning from Knowledge Graphs
Thomas Pellissier Tanon, Daria Stepanova, Simon Razniewski, Paramita Mirza, Gerhard Weikum
The Intricacies of Three-Valued Extensional Semantics for Higher-Order Logic Programs
Panos Rondogiannis, Ioanna Symeonidou
Evaluating and Complementing Vision-to-Language Technology for People who are Blind with Conversational Crowdsourcing
Elliot Salisbury, Ece Kamar, Meredith Ringel Morris
Recursive Spoken Instruction-Based One-Shot Object and Action Learning
Matthias Scheutz, Evan Krause, Bradley Oosterveld, Tyler Frasca, Robert Platt
An Efficient Minibatch Acceptance Test for Metropolis-Hastings
Daniel Seita, Xinlei Pan, Haoyu Chen, John Canny
Marathon Race Planning: A Case-Based Reasoning Approach
Barry Smyth, Padraig Cunningham
A Genetic Programming Approach to Designing Convolutional Neural Network Architectures
Masanori Suganuma, Shinichi Shirakawa, Tomoharu Nagao
Tamper-Proof Privacy Auditing for Artificial Intelligence Systems
Andrew Sutton, Reza Samavi
Multi-Objective Optimization Through Pareto Minimal Correction Subsets
Miguel Terra-Neves, Inês Lynce, Vasco Manquinho
Operator Counting Heuristics for Probabilistic Planning
Felipe Trevizan, Sylvie Thiébaux, Patrik Haslum
Generating High Resolution Climate Change Projections through Single Image Super-Resolution: An Abridged Version
Thomas Vandal, Evan Kodra, Sangram Ganguly, Andrew Michaelis, Ramakrishna Nemani, Auroop R Ganguly
Greedy Stone Tower Creations with a Robotic Arm
Martin Wermelinger, Fadri Furrer, Hironori Yoshida, Fabio Gramazio, Matthias Kohler, Roland Siegwart, Marco Hutter
Bridging the Gap Between Theory and Practice in Influence Maximization: Raising Awareness about HIV among Homeless Youth
Amulya Yadav, Bryan Wilder, Eric Rice, Robin Petering, Jaih Craddock, Amanda Yoshioka-Maxwell, Mary Hemler, Laura Onasch-Vera, Milind Tambe, Darlene Woo
A Conversational Approach to Process-oriented Case-based Reasoning
Christian Zeyen, Gilbert Müller, Ralph Bergmann
Modeling the Assimilation-Contrast Effects in Online Product Rating Systems: Debiasing and Recommendations
Xiaoying Zhang, Hong Xie, Junzhou Zhao, John C.S. Lui
Time Series Chains: A Novel Tool for Time Series Data Mining
Yan Zhu, Makoto Imamura, Daniel Nikovski, Eamonn Keogh

Survey track

Recent Advances in Querying Probabilistic Knowledge Bases
Stefan Borgwardt, İsmail İlkan Ceylan, Thomas Lukasiewicz
Five Years of Argument Mining: a Data-driven Analysis
Elena Cabrio, Serena Villata
Robust Multi-view Representation: A Unified Perspective from Multi-view Learning to Domain Adaption
Zhengming Ding, Ming Shao, Yun Fu
AGI Safety Literature Review
Tom Everitt, Gary Lea, Marcus Hutter
Evaluation Techniques and Systems for Answer Set Programming: a Survey
Martin Gebser, Nicola Leone, Marco Maratea, Simona Perri, Francesco Ricca, Torsten Schaub
Maintenance of Case Bases: Current Algorithms after Fifty Years
Jose M. Juarez, Susan Craw, J. Ricardo Lopez-Delgado, Manuel Campos
Systems AI: A Declarative Learning Based Programming Perspective
Parisa Kordjamshidi, Dan Roth, Kristian Kersting
Boosting Combinatorial Problem Modeling with Machine Learning
Michele Lombardi, Michela Milano
Event Coreference Resolution: A Survey of Two Decades of Research
Jing Lu, Vincent Ng
Autonomously Reusing Knowledge in Multiagent Reinforcement Learning
Felipe Leno Da Silva, Matthew E. Taylor, Anna Helena Reali Costa
Stackelberg Security Games: Looking Beyond a Decade of Success
Arunesh Sinha, Fei Fang, Bo An, Christopher Kiekintveld, Milind Tambe
Advancements in Dueling Bandits
Yanan Sui, Masrour Zoghi, Katja Hofmann, Yisong Yue
Ontology-Based Data Access: A Survey
Guohui Xiao, Diego Calvanese, Roman Kontchakov, Domenico Lembo, Antonella Poggi, Riccardo Rosati, Michael Zakharyaschev
"Chitty-Chitty-Chat Bot": Deep Learning for Conversational AI
Rui Yan
Building Ethics into Artificial Intelligence
Han Yu, Zhiqi Shen, Chunyan Miao, Cyril Leung, Victor R. Lesser, Qiang Yang
Affective Image Content Analysis: A Comprehensive Survey
Sicheng Zhao, Guiguang Ding, Qingming Huang, Tat-Seng Chua, Björn W. Schuller, Kurt Keutzer

Journal track

Incentive-Compatible Mechanisms for Norm Monitoring in Open Multi-Agent Systems (Extended Abstract)
Natasha Alechina, Joseph Y. Halpern, Ian A. Kash, Brian Logan
MCTS-Minimax Hybrids with State Evaluations (Extended Abstract)
Hendrik Baier, Mark H. M. Winands
A COP Model for Graph-Constrained Coalition Formation (Extended Abstract)
Filippo Bistaffa, Alessandro Farinelli
On the Logical Properties of the Description Logic DL^N (Extended abstract)
Piero A. Bonatti, Luigi Sauro
Solving Multi-Agent Path Finding on Strongly Biconnected Digraphs (Extended Abstract)
Adi Botea, Davide Bonusi, Pavel Surynek
Enhancing Context Knowledge Repositories with Justifiable Exceptions (Extended Abstract)
Loris Bozzato, Thomas Eiter, Luciano Serafini
Revisiting the Arcade Learning Environment: Evaluation Protocols and Open Problems for General Agents (Extended Abstract)
Marlos C. Machado, Marc G. Bellemare, Erik Talvitie, Joel Veness, Matthew Hausknecht, Michael Bowling
On the Equivalence between Assumption-Based Argumentation and Logic Programming (Extended Abstract)
Martin Caminada, Claudia Schulz
From Feature to Paradigm: Deep Learning in Machine Translation (Extended Abstract)
Marta R. Costa-jussà
Prime Implicate Generation in Equational Logic (extended abstract)
Mnacho Echenim, Nicolas Peltier, Sophie Tourret
Preference-Based Inconsistency Management in Multi-Context Systems (Extended Abstract)
Thomas Eiter, Antonius Weinzierl
Learning Explanatory Rules from Noisy Data (Extended Abstract)
Richard Evans, Edward Grefenstette
Fact-Alternating Mutex Groups for Classical Planning (Extended Abstract)
Daniel Fišer, Antonín Komenda
Complexity of n-Queens Completion (Extended Abstract)
Ian P. Gent, Christopher Jefferson, Peter Nightingale
Constrained Coalition Formation on Valuation Structures: Formal Framework, Applications, and Islands of Tractability (Extended Abstract)
Gianluigi Greco, Antonella Guzzo
Visualisation and 'Diagnostic Classifiers' Reveal how Recurrent and Recursive Neural Networks Process Hierarchical Structure (Extended Abstract)
Dieuwke Hupkes, Willem Zuidema
Linear Satisfiability Preserving Assignments (Extended Abstract)
Kei Kimura, Kazuhisa Makino
Three-Valued Semantics for Hybrid MKNF Knowledge Bases Revisited (Extended Abstract)
Fangfang Liu, Jia-Huai You
Impossibility in Belief Merging (Extended Abstract)
Amilcar Mata Diaz, Ramon Pino Perez
Rademacher Complexity Bounds for a Penalized Multi-class Semi-supervised Algorithm (Extended Abstract)
Yury Maximov, Massih-Reza Amini, Zaid Harchaoui
Lightweight Random Indexing for Polylingual Text Classification (Extended Abstract)
Alejandro Moreo Fernández, Andrea Esuli, Fabrizio Sebastiani
Distributional Correspondence Indexing for Cross-Lingual and Cross-Domain Sentiment Classification (Extended Abstract)
Alejandro Moreo Fernández, Andrea Esuli, Fabrizio Sebastiani
Viewpoint: Artificial Intelligence and Labour
Spyridon Samothrakis
Learning Continuous Time Bayesian Networks in Non-stationary Domains
Simone Villa, Fabio Stella

Early Career

Decision-Making Under Uncertainty in Multi-Agent and Multi-Robot Systems: Planning and Learning
Christopher Amato
Statistical Quality Control for Human Computation and Crowdsourcing
Yukino Baba
Reasoning about NP-complete Constraints
Emmanuel Hebrard
Mental Health Computing via Harvesting Social Media Data
Jia Jia
Towards Human-Engaged AI
Xiaojuan Ma
Grounded Language Learning: Where Robotics and NLP Meet
Cynthia Matuszek
Formal Analysis of Deep Binarized Neural Networks
Nina Narodytska
Natural Language Understanding: Instructions for (Present and Future) Use
Roberto Navigli
Interactive Learning and Decision Making: Foundations, Insights & Challenges
Frans A. Oliehoek
Improving Data Management using Domain Knowledge
Magdalena Ortiz
Partakable Technology
Nardine Osman
Advances and Challenges in Privacy Preserving Planning
Guy Shani
Improving Reinforcement Learning with Human Input
Matthew E. Taylor
Artificial Argumentation for Humans
Serena Villata
Towards Improving the Expressivity and Scalability of Distributed Constraint Optimization Problems
William Yeoh
Towards Sample Efficient Reinforcement Learning
Yang Yu
Mining Streaming and Temporal Data: from Representation to Knowledge
Xiangliang Zhang
Engineering Graph Features via Network Functional Blocks
Vincent W. Zheng
Probabilistic Machine Learning: Models, Algorithms and a Programming Library
Jun Zhu

Doctoral Consortium

Handling Uncertainty in Recommender Systems under the Belief Function Theory
Raoua Abdelkhalek
AI for Conservation: Aerial Monitoring to Learn and Plan against Illegal Actors
Elizabeth Bondi
Learning Portable Symbolic Representations
Steven James
Restricted Communication in Online Multi-Robot Exploration
Elizabeth A. Jensen
Intelligent Decision Support for Human Team Planning
Joseph Kim
Optimal Multi-robot Task Planning: from Synthesis to Execution (and Back)
Francesco Leofante
Data-driven Onboard Scheduling for an Autonomous Observation Satellite
Chao Li, Yingwu Chen, Patrick De Causmaecker
Connecting Low-Level Image Processing and High-Level Vision via Deep Learning
Ding Liu
Identifying Differences in Social Responsiveness among Preschoolers Interacting with or Watching Social Robots
Marie D. Manner
Multi-Agent Election-Based Hyper-Heuristics
Vinicius Renan de Carvalho, Jaime Simão Sichman
Stefan Sarkadi
Optimal Multi-Attribute Decision Making in Social Choice Problems
Sujoy Sikdar
Conversational Explanations of Machine Learning Predictions Through Class-contrastive Counterfactual Statements
Kacper Sokol, Peter Flach
Bringing Multi-agent Path Finding Closer to Reality
Jiří Švancara
Learning and Communicating the Latent States of Human-Machine Collaboration
Vaibhav V. Unhelkar, Julie A. Shah
Machine Learning Approaches to Reduce Electrical Waste and Improve Power Grid Stability
Mark Valovage
Algorithmic Social Intervention
Bryan Wilder


Hatebusters: A Web Application for Actively Reporting YouTube Hate Speech
Antonios Anagnostou, Ioannis Mollas, Grigorios Tsoumakas
Repairing ASR output by Artificial Development and Ontology based Learning
C. Anantaram, Amit Sangroya, Mrinal Rawat, Aishwarya Chhabra
Using Contextual Bandits with Behavioral Constraints for Constrained Online Movie Recommendation
Avinash Balakrishnan, Djallel Bouneffouf, Nicholas Mattei, Francesca Rossi
Instructing Novice Users on How to Use Tools in DIY Projects
Gregor Behnke, Marvin Schiller, Matthias Kraus, Pascal Bercher, Mario Schmautz, Michael Dorna, Wolfgang Minker, Birte Glimm, Susanne Biundo
Intelligent Assistant for Elderly
Jani Bizjak, Anton Gradišek, Matjaž Gams
Generating Plans for Cooperative Connected UAVs
François Bodin, Tristan Charrier, Arthur Queffelec, François Schwarzentruber
Near Real-Time Detection of Poachers from Drones in AirSim
Elizabeth Bondi, Ashish Kapoor, Debadeepta Dey, James Piavis, Shital Shah, Robert Hannaford, Arvind Iyer, Lucas Joppa, Milind Tambe
SynKit: LTL Synthesis as a Service
Alberto Camacho, Christian Muise, Jorge A. Baier, Sheila A. McIlraith
Visualizations for an Explainable Planning Agent
Tathagata Chakraborti, Kshitij P. Fadnis, Kartik Talamadupula, Mishal Dholakia, Biplav Srivastava, Jeffrey O. Kephart, Rachel K. E. Bellamy
Pyconstruct: Constraint Programming Meets Structured Prediction
Paolo Dragone, Stefano Teso, Andrea Passerini
TuringBox: An Experimental Platform for the Evaluation of AI Systems
Ziv Epstein, Blakeley H. Payne, Judy Hanwen Shen, Casey Jisoo Hong, Bjarke Felbo, Abhimanyu Dubey, Matthew Groh, Nick Obradovich, Manuel Cebrian, Iyad Rahwan
Solving Sudoku with Consistency: A Visual and Interactive Approach
Ian Howell, Robert Woodward, Berthe Y. Choueiry, Christian Bessiere
CISA: Chinese Information Structure Analysis for Scientific Writing with Cross-lingual Adversarial Learning
Hen-Hsen Huang, Hsin-Hsi Chen
Balanced News Using Constrained Bandit-based Personalization
Sayash Kapoor, Vijay Keswani, Nisheeth K. Vishnoi, L. Elisa Celis
A Wearable Device for Online and Long-Term ECG Monitoring
Marco Longoni, Diego Carrera, Beatrice Rossi, Pasqualina Fragneto, Marco Pessione, Giacomo Boracchi
Digitalized Cognitive Assessment mediated by a Virtual Caregiver
Matteo Luperto, Marta Romeo, Francesca Lunardini, Nicola Basilico, Ray Jones, Angelo Cangelosi, Simona Ferrante, N. Alberto Borghese
Aesop: A Visual Storytelling Platform for Conversational AI
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Multi-Sensor Mobile Platform for the Recognition of Activities of Daily Living and their Environments based on Artificial Neural Networks
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Extracting Latent Beliefs and using Epistemic Reasoning to Tailor a Chatbot
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Data-Driven Inventory Management and Dynamic Pricing Competition on Online Marketplaces
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Hintikka's World: Agents with Higher-order Knowledge
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A Virtual Environment with Multi-Robot Navigation, Analytics, and Decision Support for Critical Incident Investigation
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IBM Scenario Planning Advisor: Plan Recognition as AI Planning in Practice
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Glass-Box: Explaining AI Decisions With Counterfactual Statements Through Conversation With a Voice-enabled Virtual Assistant
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Medusa: Towards Simulating a Multi-Agent Hide-and-Seek Game
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Readitopics: Make Your Topic Models Readable via Labeling and Browsing
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Automated Reasoning for City Infrastructure Maintenance Decision Support
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Using a Deep Learning Dialogue Research Toolkit in a Multilingual Multidomain Practical Application
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Curly: An AI-based Curling Robot Successfully Competing in the Olympic Discipline of Curling
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