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ORCID28th IJCAI 2019: Macao, China
- Sarit Kraus:
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, IJCAI 2019, Macao, China, August 10-16, 2019. ijcai.org 2019, ISBN 978-0-9992411-4-1
Agent-based and Multi-agent Systems
- Ben Abramowitz, Nicholas Mattei
:
Flexible Representative Democracy: An Introduction with Binary Issues. 3-10 - Stéphane Airiau, Haris Aziz, Ioannis Caragiannis, Justin Kruger, Jérôme Lang, Dominik Peters:
Portioning Using Ordinal Preferences: Fairness and Efficiency. 11-17 - Gianvincenzo Alfano, Sergio Greco, Francesco Parisi:
An Efficient Algorithm for Skeptical Preferred Acceptance in Dynamic Argumentation Frameworks. 18-24 - Shani Alkoby, David Sarne, Igal Milchtaich:
Strategic Signaling for Selling Information Goods. 25-31 - Benjamin Aminof, Marta Kwiatkowska, Bastien Maubert, Aniello Murano, Sasha Rubin:
Probabilistic Strategy Logic. 32-38 - Anton Andreychuk, Konstantin S. Yakovlev, Dor Atzmon, Roni Stern:
Multi-Agent Pathfinding with Continuous Time. 39-45 - Haris Aziz, Hau Chan, Bo Li:
Weighted Maxmin Fair Share Allocation of Indivisible Chores. 46-52 - Haris Aziz, Ioannis Caragiannis, Ayumi Igarashi, Toby Walsh:
Fair Allocation of Indivisible Goods and Chores. 53-59 - Haris Aziz, Bo Li, Xiaowei Wu:
Strategyproof and Approximately Maxmin Fair Share Allocation of Chores. 60-66 - Nathanaël Barrot, Makoto Yokoo:
Stable and Envy-free Partitions in Hedonic Games. 67-73 - Dorothea Baumeister, Tobias Hogrebe:
How Hard Is the Manipulative Design of Scoring Systems?. 74-80 - Xiaohui Bei, Xinhang Lu, Pasin Manurangsi, Warut Suksompong:
The Price of Fairness for Indivisible Goods. 81-87 - Francesco Belardinelli, Wojciech Jamroga, Damian Kurpiewski, Vadim Malvone, Aniello Murano:
Strategy Logic with Simple Goals: Tractable Reasoning about Strategies. 88-94 - Nawal Benabbou, Mithun Chakraborty, Edith Elkind, Yair Zick:
Fairness Towards Groups of Agents in the Allocation of Indivisible Items. 95-101 - Vittorio Bilò, Angelo Fanelli, Michele Flammini, Gianpiero Monaco, Luca Moscardelli:
Optimality and Nash Stability in Additive Separable Generalized Group Activity Selection Problems. 102-108 - Robert Bredereck, Piotr Faliszewski, Andrzej Kaczmarczyk, Rolf Niedermeier:
An Experimental View on Committees Providing Justified Representation. 109-115 - Ioannis Caragiannis, Evi Micha:
A Contribution to the Critique of Liquid Democracy. 116-122 - Matteo Castiglioni, Alberto Marchesi, Nicola Gatti:
Be a Leader or Become a Follower: The Strategy to Commit to with Multiple Leaders. 123-129 - Katarína Cechlárová, Laurent Gourvès, Julien Lesca:
On the Problem of Assigning PhD Grants. 130-136 - Hau Chan, Jing Chen, Bo Li, Xiaowei Wu:
Maximin-Aware Allocations of Indivisible Goods. 137-143 - Tristan Charrier, Arthur Queffelec, Ocan Sankur, François Schwarzentruber:
Reachability and Coverage Planning for Connected Agents. 144-150 - Jing Chen, Bo Li, Yingkai Li:
Approximately Maximizing the Broker's Profit in a Two-sided Market. 151-157 - Lin Chen, Lei Xu, Shouhuai Xu, Zhimin Gao, Weidong Shi:
Election with Bribe-Effect Uncertainty: A Dichotomy Result. 158-164 - Mengjing Chen, Weiran Shen, Pingzhong Tang, Song Zuo:
Dispatching Through Pricing: Modeling Ride-Sharing and Designing Dynamic Prices. 165-171 - Shuo Chen, Ewa Andrejczuk, Athirai Aravazhi Irissappane, Jie Zhang:
ATSIS: Achieving the Ad hoc Teamwork by Sub-task Inference and Selection. 172-179 - Yu Chen, Shahin Jabbari, Michael J. Kearns, Sanjeev Khanna, Jamie Morgenstern:
Network Formation under Random Attack and Probabilistic Spread. 180-186 - Frank Cheng, Yagil Engel, Michael P. Wellman:
Cap-and-Trade Emissions Regulation: A Strategic Analysis. 187-193 - Kinzang Chhogyal, Abhaya C. Nayak, Aditya Ghose, Hoa Khanh Dam:
A Value-based Trust Assessment Model for Multi-agent Systems. 194-200 - Federico Corò, Emilio Cruciani, Gianlorenzo D'Angelo, Stefano Ponziani:
Exploiting Social Influence to Control Elections Based on Scoring Rules. 201-207 - Sankarshan Damle, Moin Hussain Moti, Praphul Chandra, Sujit Gujar:
Civic Crowdfunding for Agents with Negative Valuations and Agents with Asymmetric Beliefs. 208-214 - Panayiotis Danassis, Aris Filos-Ratsikas, Boi Faltings:
Anytime Heuristic for Weighted Matching Through Altruism-Inspired Behavior. 215-222 - Yanchen Deng, Ziyu Chen, Dingding Chen, Wenxin Zhang, Xingqiong Jiang:
AsymDPOP: Complete Inference for Asymmetric Distributed Constraint Optimization Problems. 223-230 - Yuan Deng, Sébastien Lahaie, Vahab S. Mirrokni:
Preferred Deals in General Environments. 231-237 - Palash Dey, Neeldhara Misra, Swaprava Nath, Garima Shakya:
A Parameterized Perspective on Protecting Elections. 238-244 - Sarthika Dhawan, Siva Charan Reddy Gangireddy, Shiv Kumar, Tanmoy Chakraborty:
Spotting Collective Behaviour of Online Frauds in Customer Reviews. 245-251 - Jinshuo Dong, Hadi Elzayn, Shahin Jabbari, Michael J. Kearns, Zachary Schutzman:
Equilibrium Characterization for Data Acquisition Games. 252-258 - Edith Elkind, Jiarui Gan, Svetlana Obraztsova, Zinovi Rabinovich, Alexandros A. Voudouris:
Protecting Elections by Recounting Ballots. 259-265 - Edith Elkind, Jiarui Gan, Ayumi Igarashi, Warut Suksompong, Alexandros A. Voudouris:
Schelling Games on Graphs. 266-272 - Dimitris Fotakis, Loukas Kavouras, Panagiotis Kostopanagiotis, Philip Lazos, Stratis Skoulakis, Nikos Zarifis:
Reallocating Multiple Facilities on the Line. 273-279 - Rupert Freeman, Sujoy Sikdar, Rohit Vaish, Lirong Xia:
Equitable Allocations of Indivisible Goods. 280-286 - Yansong Gao, Jie Zhang:
Average-case Analysis of the Assignment Problem with Independent Preferences. 287-293 - Jugal Garg, Peter McGlaughlin:
Improving Nash Social Welfare Approximations. 294-300 - MohammadAmin Ghiasi, MohammadTaghi Hajiaghayi, Sébastien Lahaie, Hadi Yami:
On the Efficiency and Equilibria of Rich Ads. 301-307 - Taha D. Günes, Long Tran-Thanh, Timothy J. Norman:
Identifying vulnerabilities in trust and reputation systems. 308-314 - Mingyu Guo:
An Asymptotically Optimal VCG Redistribution Mechanism for the Public Project Problem. 315-321 - Sushmita Gupta, Saket Saurabh, Ramanujan Sridharan, Meirav Zehavi:
On Succinct Encodings for the Tournament Fixing Problem. 322-328 - Julian Gutierrez, Muhammad Najib, Giuseppe Perelli, Michael J. Wooldridge:
On Computational Tractability for Rational Verification. 329-335 - John Harwell, Maria L. Gini:
Swarm Engineering Through Quantitative Measurement of Swarm Robotic Principles in a 10, 000 Robot Swarm. 336-342 - Jiafan He, Ariel D. Procaccia, Alexandros Psomas, David Zeng:
Achieving a Fairer Future by Changing the Past. 343-349 - Karel Horák, Branislav Bosanský, Christopher Kiekintveld, Charles A. Kamhoua:
Compact Representation of Value Function in Partially Observable Stochastic Games. 350-356 - Yujing Hu, Yingfeng Chen, Changjie Fan, Jianye Hao:
Explicitly Coordinated Policy Iteration. 357-363 - Ayumi Igarashi, Kazunori Ota, Yuko Sakurai, Makoto Yokoo:
Robustness against Agent Failure in Hedonic Games. 364-370 - Anup K. Kalia, Nirav Ajmeri, Kevin S. Chan, Jin-Hee Cho, Sibel Adali, Munindar P. Singh:
The Interplay of Emotions and Norms in Multiagent Systems. 371-377 - Hossein Khani, Stefano Moretti, Meltem Öztürk:
An Ordinal Banzhaf Index for Social Ranking. 378-384 - Maciej Kocot, Anna Kolonko, Edith Elkind, Piotr Faliszewski, Nimrod Talmon:
Multigoal Committee Selection. 385-391 - Yoav Kolumbus, Gali Noti:
Neural Networks for Predicting Human Interactions in Repeated Games. 392-399 - Maria Kyropoulou, Warut Suksompong, Alexandros A. Voudouris:
Almost Envy-Freeness in Group Resource Allocation. 400-406 - Martin Lackner, Piotr Skowron:
A Quantitative Analysis of Multi-Winner Rules. 407-413 - Foram Lakhani, Dominik Peters, Edith Elkind:
Correlating Preferences and Attributes: Nearly Single-Crossing Profiles. 414-420 - Haralambie Leahu, Michael Kaisers, Tim Baarslag:
Automated Negotiation with Gaussian Process-based Utility Models. 421-427 - Priel Levy, David Sarne, Yonatan Aumann:
Temporal Information Design in Contests. 428-434 - Bin Li, Dong Hao, Dengji Zhao, Makoto Yokoo:
Diffusion and Auction on Graphs. 435-441 - Jiaoyang Li, Ariel Felner, Eli Boyarski, Hang Ma, Sven Koenig:
Improved Heuristics for Multi-Agent Path Finding with Conflict-Based Search. 442-449 - Minglong Li, Wenjing Yang, Zhongxuan Cai, Shaowu Yang, Ji Wang:
Integrating Decision Sharing with Prediction in Decentralized Planning for Multi-Agent Coordination under Uncertainty. 450-456 - Yong Liu, Yujing Hu, Yang Gao, Yingfeng Chen, Changjie Fan:
Value Function Transfer for Deep Multi-Agent Reinforcement Learning Based on N-Step Returns. 457-463 - Edward Lockhart, Marc Lanctot, Julien Pérolat, Jean-Baptiste Lespiau, Dustin Morrill, Finbarr Timbers, Karl Tuyls:
Computing Approximate Equilibria in Sequential Adversarial Games by Exploitability Descent. 464-470 - Phani Raj Lolakapuri, Umang Bhaskar, Ramasuri Narayanam, Gyana R. Parija, Pankaj S. Dayama:
Computational Aspects of Equilibria in Discrete Preference Games. 471-477 - Masoumeh Mansouri, Bruno Lacerda, Nick Hawes, Federico Pecora:
Multi-Robot Planning Under Uncertain Travel Times and Safety Constraints. 478-484 - Alberto Marchesi, Matteo Castiglioni, Nicola Gatti:
Leadership in Congestion Games: Multiple User Classes and Non-Singleton Actions. 485-491 - Sagar Massand, Sunil Simon:
Graphical One-Sided Markets. 492-498 - Bastien Maubert, Sophie Pinchinat, François Schwarzentruber:
Reachability Games in Dynamic Epistemic Logic. 499-505 - Moin Hussain Moti, Dimitris Chatzopoulos, Pan Hui, Sujit Gujar:
FaRM: Fair Reward Mechanism for Information Aggregation in Spontaneous Localized Settings. 506-512 - Aadesh Neupane, Michael A. Goodrich:
Learning Swarm Behaviors using Grammatical Evolution and Behavior Trees. 513-520 - Hoang Nga Nguyen, Abdur Rakib:
A Probabilistic Logic for Resource-Bounded Multi-Agent Systems. 521-527 - Thanh Nguyen, Haifeng Xu:
Imitative Attacker Deception in Stackelberg Security Games. 528-534 - Keisuke Okumura, Manao Machida, Xavier Défago, Yasumasa Tamura:
Priority Inheritance with Backtracking for Iterative Multi-agent Path Finding. 535-542 - Grzegorz Pierczynski, Piotr Skowron:
Approval-Based Elections and Distortion of Voting Rules. 543-549 - Manish Ravula, Shani Alkoby, Peter Stone:
Ad Hoc Teamwork With Behavior Switching Agents. 550-556 - Duncan Rheingans-Yoo, Scott Duke Kominers, Hongyao Ma, David C. Parkes:
Ridesharing with Driver Location Preferences. 557-564 - Charlotte Roman, Paolo Turrini:
Multi-Population Congestion Games With Incomplete Information. 565-571 - Gal Shahaf, Ehud Shapiro, Nimrod Talmon:
Sybil-Resilient Reality-Aware Social Choice. 572-579 - Jakub Sliwinski, Edith Elkind:
Preferences Single-Peaked on a Tree: Sampling and Tree Recognition. 580-586 - Sarath Sreedharan, Alberto Olmo Hernandez, Aditya Prasad Mishra, Subbarao Kambhampati:
Model-Free Model Reconciliation. 587-594 - Zoi Terzopoulou, Ulle Endriss:
Aggregating Incomplete Pairwise Preferences by Weight. 595-601 - Zheng Tian, Ying Wen, Zhichen Gong, Faiz Punakkath, Shihao Zou, Jun Wang:
A Regularized Opponent Model with Maximum Entropy Objective. 602-608 - Yuechen Wu, Zhenhuan Rao, Wei Zhang, Shijian Lu, Weizhi Lu, Zheng-Jun Zha:
Exploring the Task Cooperation in Multi-goal Visual Navigation. 609-615 - Yichong Xu, Han Zhao, Xiaofei Shi, Nihar B. Shah:
On Strategyproof Conference Peer Review. 616-622 - Tianpei Yang, Jianye Hao, Zhaopeng Meng, Chongjie Zhang, Yan Zheng, Ze Zheng:
Towards Efficient Detection and Optimal Response against Sophisticated Opponents. 623-629 - Yaodong Yang, Jianye Hao, Yan Zheng, Chao Yu:
Large-Scale Home Energy Management Using Entropy-Based Collective Multiagent Deep Reinforcement Learning Framework. 630-636 - Yongjie Yang:
Complexity of Manipulating and Controlling Approval-Based Multiwinner Voting. 637-643 - Yongjie Yang:
On the Tree Representations of Dichotomous Preferences. 644-650 - Chao Yu, Guozhen Tan:
The Price of Governance: A Middle Ground Solution to Coordination in Organizational Control. 651-657 - Chi Zhang, Qianxiao Li, Peilin Zhao:
Decentralized Optimization with Edge Sampling. 658-664 - Pengzhan Zhou, Xin Wei, Cong Wang, Yuanyuan Yang:
Explore Truthful Incentives for Tasks with Heterogenous Levels of Difficulty in the Sharing Economy. 665-671
Computer Vision
- Sayan Banerjee, Avik Hati, Subhasis Chaudhuri, Rajbabu Velmurugan:
CoSegNet: Image Co-segmentation using a Conditional Siamese Convolutional Network. 673-679 - Bing Cao, Nannan Wang, Xinbo Gao, Jie Li, Zhifeng Li:
Multi-Margin based Decorrelation Learning for Heterogeneous Face Recognition. 680-686 - Hong Chen, Yongtan Luo, Liujuan Cao, Baochang Zhang, Guodong Guo, Cheng Wang, Jonathan Li, Rongrong Ji:
Generalized Zero-Shot Vehicle Detection in Remote Sensing Imagery via Coarse-to-Fine Framework. 687-693 - Xiaotian Chen, Xuejin Chen, Zheng-Jun Zha:
Structure-Aware Residual Pyramid Network for Monocular Depth Estimation. 694-700 - Qiongjie Cui, Huaijiang Sun, Yupeng Li, Yue Kong:
A Deep Bi-directional Attention Network for Human Motion Recovery. 701-707 - Minjing Dong, Chang Xu:
On Retrospecting Human Dynamics with Attention. 708-714 - Shancheng Fang, Hongtao Xie, Jianjun Chen, Jianlong Tan, Yongdong Zhang:
Learning to Draw Text in Natural Images with Conditional Adversarial Networks. 715-722 - Lianli Gao, Xiaosu Zhu, Jingkuan Song, Zhou Zhao, Heng Tao Shen:
Beyond Product Quantization: Deep Progressive Quantization for Image Retrieval. 723-729 - Amir Gholaminejad, Kurt Keutzer, George Biros:
ANODE: Unconditionally Accurate Memory-Efficient Gradients for Neural ODEs. 730-736 - Bin Gu, Wenhan Xian, Heng Huang:
Asynchronous Stochastic Frank-Wolfe Algorithms for Non-Convex Optimization. 737-743 - Dan Guo, Shuo Wang, Qi Tian, Meng Wang:
Dense Temporal Convolution Network for Sign Language Translation. 744-750 - Dan Guo, Shengeng Tang, Meng Wang:
Connectionist Temporal Modeling of Video and Language: a Joint Model for Translation and Sign Labeling. 751-757 - Zhizhong Han, Xiyang Wang, Chi-Man Vong, Yu-Shen Liu, Matthias Zwicker, C. L. Philip Chen:
3DViewGraph: Learning Global Features for 3D Shapes from A Graph of Unordered Views with Attention. 758-765 - Zhizhong Han, Xinhai Liu, Yu-Shen Liu, Matthias Zwicker:
Parts4Feature: Learning 3D Global Features from Generally Semantic Parts in Multiple Views. 766-773 - Jianwei Hu, Bin Wang, Lihui Qian, Yiling Pan, Xiaohu Guo, Lingjie Liu, Wenping Wang:
MAT-Net: Medial Axis Transform Network for 3D Object Recognition. 774-781 - Yuan Hu, Yunpeng Chen, Xiang Li, Jiashi Feng:
Dynamic Feature Fusion for Semantic Edge Detection. 782-788 - Zhibin Hu, Yongsheng Luo, Jiong Lin, Yan Yan, Jian Chen:
Multi-Level Visual-Semantic Alignments with Relation-Wise Dual Attention Network for Image and Text Matching. 789-795 - Syed Ashar Javed, Shreyas Saxena, Vineet Gandhi:
Learning Unsupervised Visual Grounding Through Semantic Self-Supervision. 796-802 - I-Hong Jhuo:
Supervised Set-to-Set Hashing in Visual Recognition. 803-810 - Ang Li, Jianzhong Qi, Rui Zhang, Xingjun Ma, Kotagiri Ramamohanarao:
Generative Image Inpainting with Submanifold Alignment. 811-817 - Bo Li, Zhengxing Sun, Lv Tang, Yunhan Sun, Jinlong Shi:
Detecting Robust Co-Saliency with Recurrent Co-Attention Neural Network. 818-825 - Jiawei Li, Mang Ye, Andy Jinhua Ma, Pong C. Yuen:
Variation Generalized Feature Learning via Intra-view Variation Adaptation. 826-832 - Qiaozhe Li, Xin Zhao, Ran He, Kaiqi Huang:
Pedestrian Attribute Recognition by Joint Visual-semantic Reasoning and Knowledge Distillation. 833-839 - Zhaoqun Li, Cheng Xu, Biao Leng:
Rethinking Loss Design for Large-scale 3D Shape Retrieval. 840-846 - Luojun Lin, Lingyu Liang, Lianwen Jin, Weijie Chen:
Attribute-Aware Convolutional Neural Networks for Facial Beauty Prediction. 847-853 - Chunlei Liu, Wenrui Ding, Xin Xia, Yuan Hu, Baochang Zhang, Jianzhuang Liu, Bohan Zhuang, Guodong Guo:
Rectified Binary Convolutional Networks for Enhancing the Performance of 1-bit DCNNs. 854-860 - Dongnan Liu, Donghao Zhang, Yang Song, Chaoyi Zhang, Fan Zhang, Lauren O'Donnell, Weidong Cai:
Nuclei Segmentation via a Deep Panoptic Model with Semantic Feature Fusion. 861-868 - Fei Liu, Jing Liu, Zhiwei Fang, Richang Hong, Hanqing Lu:
Densely Connected Attention Flow for Visual Question Answering. 869-875 - Liang Liu, Guangyao Zhai, Wenlong Ye, Yong Liu:
Unsupervised Learning of Scene Flow Estimation Fusing with Local Rigidity. 876-882 - Shunan Mao, Shiliang Zhang, Ming Yang:
Resolution-invariant Person Re-Identification. 883-889 - Tianxiang Pan, Bin Wang, Guiguang Ding, Jungong Han, Jun-Hai Yong:
Low Shot Box Correction for Weakly Supervised Object Detection. 890-896 - Guoliang Pang, Xionghui Wang, Jianfang Hu, Qing Zhang, Wei-Shi Zheng:
DBDNet: Learning Bi-directional Dynamics for Early Action Prediction. 897-903 - Yongri Piao, Zhengkun Rong, Miao Zhang, Xiao Li, Huchuan Lu:
Deep Light-field-driven Saliency Detection from a Single View. 904-911 - Jingkuan Song, Xiaosu Zhu, Lianli Gao, Xin-Shun Xu, Wu Liu, Heng Tao Shen:
Deep Recurrent Quantization for Generating Sequential Binary Codes. 912-918 - Yang Song, Jingwen Zhu, Dawei Li, Andy Wang, Hairong Qi:
Talking Face Generation by Conditional Recurrent Adversarial Network. 919-925 - Yongyi Tang, Lin Ma, Lianqiang Zhou:
Hallucinating Optical Flow Features for Video Classification. 926-932 - Guan'an Wang, Yang Yang, Jian Cheng, Jinqiao Wang, Zeng-Guang Hou:
Color-Sensitive Person Re-Identification. 933-939 - Jing Wang, Yingwei Pan, Ting Yao, Jinhui Tang, Tao Mei:
Convolutional Auto-encoding of Sentence Topics for Image Paragraph Generation. 940-946 - Yuxin Wang, Hongtao Xie, Zilong Fu, Yongdong Zhang:
DSRN: A Deep Scale Relationship Network for Scene Text Detection. 947-953 - Xingxing Wei, Siyuan Liang, Ning Chen, Xiaochun Cao:
Transferable Adversarial Attacks for Image and Video Object Detection. 954-960 - Aming Wu, Yahong Han, Yi Yang:
Video Interactive Captioning with Human Prompts. 961-967 - Haoze Wu, Jiawei Liu, Zheng-Jun Zha, Zhenzhong Chen, Xiaoyan Sun:
Mutually Reinforced Spatio-Temporal Convolutional Tube for Human Action Recognition. 968-974 - Siying Wu, Zheng-Jun Zha, Zilei Wang, Houqiang Li, Feng Wu:
Densely Supervised Hierarchical Policy-Value Network for Image Paragraph Generation. 975-981 - Ruiqing Xu, Chao Li, Junchi Yan, Cheng Deng, Xianglong Liu:
Graph Convolutional Network Hashing for Cross-Modal Retrieval. 982-988 - Chuhui Xue, Shijian Lu, Wei Zhang:
MSR: Multi-Scale Shape Regression for Scene Text Detection. 989-995 - Yazhou Yao, Zeren Sun, Fumin Shen, Li Liu, Limin Wang, Fan Zhu, Lizhong Ding, Gangshan Wu, Ling Shao:
Dynamically Visual Disambiguation of Keyword-based Image Search. 996-1002 - Yang Yi, Feng Ni, Yuexin Ma, Xinge Zhu, Yuankai Qi, Riming Qiu, Shijie Zhao, Feng Li, Yongtao Wang:
High Performance Gesture Recognition via Effective and Efficient Temporal Modeling. 1003-1009 - Shi Yin, Shangfei Wang, Guozhu Peng, Xiaoping Chen, Bowen Pan:
Capturing Spatial and Temporal Patterns for Facial Landmark Tracking through Adversarial Learning. 1010-1017 - Junchi Yu, Jie Cao, Yi Li, Xiaofei Jia, Ran He:
Pose-preserving Cross Spectral Face Hallucination. 1018-1024 - Heming Zhang, Shalini Ghosh, Larry P. Heck, Stephen Walsh, Junting Zhang, Jie Zhang, C.-C. Jay Kuo:
Generative Visual Dialogue System via Weighted Likelihood Estimation. 1025-1031 - Feng Zheng, Cheng Deng, Heng Huang:
Binarized Neural Networks for Resource-Efficient Hashing with Minimizing Quantization Loss. 1032-1040 - Qinqin Zhou, Bineng Zhong, Xiangyuan Lan, Gan Sun, Yulun Zhang, Mengran Gou:
LRDNN: Local-refining based Deep Neural Network for Person Re-Identification with Attribute Discerning. 1041-1047 - Mingrui Zhu, Nannan Wang, Xinbo Gao, Jie Li, Zhifeng Li:
Face Photo-Sketch Synthesis via Knowledge Transfer. 1048-1054
Constraints and SAT
- Saad Attieh, Nguyen Dang, Christopher Jefferson, Ian Miguel, Peter Nightingale:
Athanor: High-Level Local Search Over Abstract Constraint Specifications in Essence. 1056-1063 - Mohamed-Bachir Belaid, Christian Bessiere, Nadjib Lazaar:
Constraint Programming for Mining Borders of Frequent Itemsets. 1064-1070 - Allegra De Filippo, Michele Lombardi, Michela Milano:
How to Tame Your Anticipatory Algorithm. 1071-1077 - Emir Demirovic, Peter J. Stuckey, James Bailey, Jeffrey Chan, Christopher Leckie, Kotagiri Ramamohanarao, Tias Guns:
Predict+Optimise with Ranking Objectives: Exhaustively Learning Linear Functions. 1078-1085 - Ferdinando Fioretto, Terrence W. K. Mak, Pascal Van Hentenryck:
Privacy-Preserving Obfuscation of Critical Infrastructure Networks. 1086-1092 - Pei Huang, Minghao Liu, Ping Wang, Wenhui Zhang, Feifei Ma, Jian Zhang:
Solving the Satisfiability Problem of Modal Logic S5 Guided by Graph Coloring. 1093-1100 - Xuming Huang, Jimmy Lee:
DoubleLex Revisited and Beyond. 1101-1107 - Alexey Ignatiev, António Morgado, Georg Weissenbacher, João Marques-Silva:
Model-Based Diagnosis with Multiple Observations. 1108-1115 - Tuukka Korhonen, Jeremias Berg, Matti Järvisalo:
Enumerating Potential Maximal Cliques via SAT and ASP. 1116-1122 - Mikhail Krechetov, Jakub Marecek, Yury Maximov, Martin Takác:
Entropy-Penalized Semidefinite Programming. 1123-1129 - Mohit Kumar, Stefano Teso, Luc De Raedt:
Acquiring Integer Programs from Data. 1130-1136 - Anna Louise D. Latour, Behrouz Babaki, Siegfried Nijssen:
Stochastic Constraint Propagation for Mining Probabilistic Networks. 1137-1145 - Shu Lin, Na Meng, Wenxin Li:
Optimizing Constraint Solving via Dynamic Programming. 1146-1154 - Adriana Pacheco, Cédric Pralet, Stéphanie Roussel:
Constraint-Based Scheduling with Complex Setup Operations: An Iterative Two-Layer Approach. 1155-1161 - Yash Pote, Saurabh Joshi, Kuldeep S. Meel:
Phase Transition Behavior of Cardinality and XOR Constraints. 1162-1168 - Shubham Sharma, Subhajit Roy, Mate Soos, Kuldeep S. Meel:
GANAK: A Scalable Probabilistic Exact Model Counter. 1169-1176 - Pavel Surynek:
Unifying Search-based and Compilation-based Approaches to Multi-agent Path Finding through Satisfiability Modulo Theories. 1177-1183 - Miguel Terra-Neves, Inês Lynce, Vasco Manquinho:
Integrating Pseudo-Boolean Constraint Reasoning in Multi-Objective Evolutionary Algorithms. 1184-1190 - Chao Xu, Wenjun Li, Yongjie Yang, Jianer Chen, Jianxin Wang:
Resolution and Domination: An Improved Exact MaxSAT Algorithm. 1191-1197
Heuristic Search and Game Playing
- Massimo Bono, Alfonso Emilio Gerevini, Daniel Damir Harabor, Peter J. Stuckey:
Path Planning with CPD Heuristics. 1199-1205 - Zhaoxing Bu, Richard E. Korf:
A*+IDA*: A Simple Hybrid Search Algorithm. 1206-1212 - Ioannis Caragiannis, Evanthia Tsitsoka:
Deanonymizing Social Networks Using Structural Information. 1213-1219 - Jingwei Chen, Nathan R. Sturtevant:
Conditions for Avoiding Node Re-expansions in Bounded Suboptimal Search. 1220-1226 - Victoria G. Crawford:
An Efficient Evolutionary Algorithm for Minimum Cost Submodular Cover. 1227-1233 - Lior Fuks, Noor H. Awad, Frank Hutter, Marius Lindauer:
An Evolution Strategy with Progressive Episode Lengths for Playing Games. 1234-1240 - Daniel Damir Harabor, Tansel Uras, Peter J. Stuckey, Sven Koenig:
Regarding Jump Point Search and Subgoal Graphs. 1241-1248 - Malte Helmert, Tor Lattimore, Levi H. S. Lelis, Laurent Orseau, Nathan R. Sturtevant:
Iterative Budgeted Exponential Search. 1249-1257 - Shuli Hu, Nathan R. Sturtevant:
Direction-Optimizing Breadth-First Search with External Memory Storage. 1258-1264 - Qiqi Jiang, Kuangzheng Li, Boyao Du, Hao Chen, Hai Fang:
DeltaDou: Expert-level Doudizhu AI through Self-play. 1265-1271 - Yasushi Kawase, Yuko Kuroki, Atsushi Miyauchi:
Graph Mining Meets Crowdsourcing: Extracting Experts for Answer Aggregation. 1272-1279 - Akihiro Kishimoto, Adi Botea, Radu Marinescu:
Depth-First Memory-Limited AND/OR Search and Unsolvability in Cyclic Search Spaces. 1280-1288 - Edward Lam, Pierre Le Bodic, Daniel Damir Harabor, Peter J. Stuckey:
Branch-and-Cut-and-Price for Multi-Agent Pathfinding. 1289-1296 - Chuan Luo, Holger H. Hoos, Shaowei Cai, Qingwei Lin, Hongyu Zhang, Dongmei Zhang:
Local Search with Efficient Automatic Configuration for Minimum Vertex Cover. 1297-1304 - Peixi Peng, Junliang Xing, Lili Cao, Lisen Mu, Chang Huang:
Learning Deep Decentralized Policy Network by Collective Rewards for Real-Time Combat Game. 1305-1311 - Xudong Zhang, Pengxiang Wu, Changhe Yuan, Yusu Wang, Dimitris N. Metaxas, Chao Chen:
Heuristic Search for Homology Localization Problem and Its Application in Cardiac Trabeculae Reconstruction. 1312-1318 - Fariba Zohrizadeh, Mohsen Kheirandishfard, Farhad Kamangar, Ramtin Madani:
Non-smooth Optimization over Stiefel Manifolds with Applications to Dimensionality Reduction and Graph Clustering. 1319-1326
Humans and AI
- Andrew Anderson, Jonathan Dodge, Amrita Sadarangani, Zoe Juozapaitis, Evan Newman, Jed Irvine, Souti Chattopadhyay, Alan Fern, Margaret Burnett:
Explaining Reinforcement Learning to Mere Mortals: An Empirical Study. 1328-1334 - Tathagata Chakraborti, Sarath Sreedharan, Subbarao Kambhampati:
Balancing Explicability and Explanations in Human-Aware Planning. 1335-1343 - Kaixuan Chen, Lina Yao, Dalin Zhang, Bin Guo, Zhiwen Yu:
Multi-agent Attentional Activity Recognition. 1344-1350 - Wenqi Fan, Tyler Derr, Yao Ma, Jianping Wang, Jiliang Tang, Qing Li:
Deep Adversarial Social Recommendation. 1351-1357 - Ishaan Grover, Hae Won Park, Cynthia Breazeal:
A Semantics-based Model for Predicting Children's Vocabulary. 1358-1365 - Pengjie Gu, Rong Xiao, Gang Pan, Huajin Tang:
STCA: Spatio-Temporal Credit Assignment with Delayed Feedback in Deep Spiking Neural Networks. 1366-1372 - Guibing Guo, Shichang Ouyang, Xiaodong He, Fajie Yuan, Xiaohua Liu:
Dynamic Item Block and Prediction Enhancing Block for Sequential Recommendation. 1373-1379 - Guibing Guo, Enneng Yang, Li Shen, Xiaochun Yang, Xiaodong He:
Discrete Trust-aware Matrix Factorization for Fast Recommendation. 1380-1386 - Zhicheng Jiao, Haoxuan You, Fan Yang, Xin Li, Han Zhang, Dinggang Shen:
Decoding EEG by Visual-guided Deep Neural Networks. 1387-1393 - Ching Yun Ko, Rui Lin, Shu Li, Ngai Wong:
MiSC: Mixed Strategies Crowdsourcing. 1394-1400 - Isaac Lage, Daphna Lifschitz, Finale Doshi-Velez, Ofra Amir:
Exploring Computational User Models for Agent Policy Summarization. 1401-1407 - Haoming Li, Sujoy Sikdar, Rohit Vaish, Junming Wang, Lirong Xia, Chaonan Ye:
Minimizing Time-to-Rank: A Learning and Recommendation Approach. 1408-1414 - Marco Maier, Daniel Elsner, Chadly Marouane, Meike Zehnle, Christoph Fuchs:
DeepFlow: Detecting Optimal User Experience From Physiological Data Using Deep Neural Networks. 1415-1421 - Sarath Sreedharan, Siddharth Srivastava, David E. Smith, Subbarao Kambhampati:
Why Can't You Do That HAL? Explaining Unsolvability of Planning Tasks. 1422-1430 - Le Wu, Lei Chen, Yonghui Yang, Richang Hong, Yong Ge, Xing Xie, Meng Wang:
Personalized Multimedia Item and Key Frame Recommendation. 1431-1437 - Yongkai Wu, Lu Zhang, Xintao Wu:
Counterfactual Fairness: Unidentification, Bound and Algorithm. 1438-1444 - Rong Xiao, Qiang Yu, Rui Yan, Huajin Tang:
Fast and Accurate Classification with a Multi-Spike Learning Algorithm for Spiking Neurons. 1445-1451 - Depeng Xu, Yongkai Wu, Shuhan Yuan, Lu Zhang, Xintao Wu:
Achieving Causal Fairness through Generative Adversarial Networks. 1452-1458 - Huan Yan, Xiangning Chen, Chen Gao, Yong Li, Depeng Jin:
DeepAPF: Deep Attentive Probabilistic Factorization for Multi-site Video Recommendation. 1459-1465 - Yantao Yu, Zhen Wang, Bo Yuan:
An Input-aware Factorization Machine for Sparse Prediction. 1466-1472 - Hao Zhang, Liangxiao Jiang, Wenqiang Xu:
Multiple Noisy Label Distribution Propagation for Crowdsourcing. 1473-1479 - Wenbin Zhang, Eirini Ntoutsi:
FAHT: An Adaptive Fairness-aware Decision Tree Classifier. 1480-1486
Knowledge Representation and Reasoning
- Zhalama, Jiji Zhang, Frederick Eberhardt, Wolfgang Mayer, Mark Junjie Li:
ASP-based Discovery of Semi-Markovian Causal Models under Weaker Assumptions. 1488-1494 - Mario Alviano, Javier Romero, Torsten Schaub:
On the Integration of CP-nets in ASPRIN. 1495-1501 - Leila Amgoud, Dragan Doder:
Compilation of Logical Arguments. 1502-1508 - Theofanis I. Aravanis, Pavlos Peppas, Mary-Anne Williams:
Observations on Darwiche and Pearl's Approach for Iterated Belief Revision. 1509-1515 - Alessandro Artale, Andrea Mazzullo, Ana Ozaki:
Do You Need Infinite Time?. 1516-1522 - Philippe Balbiani, David Fernández-Duque, Andreas Herzig, Emiliano Lorini:
Stratified Evidence Logics. 1523-1529 - Bartosz Bednarczyk, Sebastian Rudolph:
Worst-Case Optimal Querying of Very Expressive Description Logics with Path Expressions and Succinct Counting. 1530-1536 - Khaled Belahcène, Christophe Labreuche, Nicolas Maudet, Vincent Mousseau, Wassila Ouerdane:
Comparing Options with Argument Schemes Powered by Cancellation. 1537-1543 - Nahla Ben Amor, Hélène Fargier, Régis Sabbadin, Meriem Trabelsi:
Possibilistic Games with Incomplete Information. 1544-1550 - Michael Benedikt, Pierre Bourhis, Louis Jachiet, Michaël Thomazo:
Reasoning about Disclosure in Data Integration in the Presence of Source Constraints. 1551-1557 - Meghyn Bienvenu, Pierre Bourhis:
Mixed-World Reasoning with Existential Rules under Active-Domain Semantics. 1558-1565 - Blai Bonet, Raquel Fuentetaja, Yolanda E-Martín, Daniel Borrajo:
Guarantees for Sound Abstractions for Generalized Planning. 1566-1573 - Anneke Bötcher, Carsten Lutz, Frank Wolter:
Ontology Approximation in Horn Description Logics. 1574-1580 - Pierre Bourhis, Michel Leclère, Marie-Laure Mugnier, Sophie Tison, Federico Ulliana, Lily Gallois:
Oblivious and Semi-Oblivious Boundedness for Existential Rules. 1581-1587 - Patricia Bouyer, Orna Kupferman, Nicolas Markey, Bastien Maubert, Aniello Murano, Giuseppe Perelli:
Reasoning about Quality and Fuzziness of Strategic Behaviours. 1588-1594 - Laura Bozzelli, Bastien Maubert, Aniello Murano:
The Complexity of Model Checking Knowledge and Time. 1595-1601 - Ronen I. Brafman, Giuseppe De Giacomo:
Planning for LTLf /LDLf Goals in Non-Markovian Fully Observable Nondeterministic Domains. 1602-1608 - Ruichu Cai, Jie Qiao, Kun Zhang, Zhenjie Zhang, Zhifeng Hao:
Causal Discovery with Cascade Nonlinear Additive Noise Model. 1609-1615 - Diego Calvanese, Davide Lanti, Ana Ozaki, Rafael Peñaloza, Guohui Xiao:
Enriching Ontology-based Data Access with Provenance. 1616-1623 - David Carral, Irina Dragoste, Markus Krötzsch, Christian Lewe:
Chasing Sets: How to Use Existential Rules for Expressive Reasoning. 1624-1631 - Giovanni Casini, Thomas Meyer, Ivan Varzinczak:
Simple Conditionals with Constrained Right Weakening. 1632-1638 - Ismail Ilkan Ceylan, Thomas Lukasiewicz, Enrico Malizia, Andrius Vaicenavicius:
Explanations for Query Answers under Existential Rules. 1639-1646 - Gianluca Cima, Maurizio Lenzerini, Antonella Poggi:
Semantic Characterization of Data Services through Ontologies. 1647-1653 - Marco Console, Matthias F. J. Hofer, Leonid Libkin:
Measuring the Likelihood of Numerical Constraints. 1654-1660 - Juan D. Correa, Elias Bareinboim:
From Statistical Transportability to Estimating the Effect of Stochastic Interventions. 1661-1667 - Ronald de Haan, Marija Slavkovik:
Answer Set Programming for Judgment Aggregation. 1668-1674 - Camillo Fiorentini:
An ASP Approach to Generate Minimal Countermodels in Intuitionistic Propositional Logic. 1675-1681 - Maurice Funk, Jean Christoph Jung, Carsten Lutz, Hadrien Pulcini, Frank Wolter:
Learning Description Logic Concepts: When can Positive and Negative Examples be Separated?. 1682-1688 - Ruipeng Gao, Xiaoyu Guo, Fuyong Sun, Lin Dai, Jiayan Zhu, Chenxi Hu, Haibo Li:
Aggressive Driving Saves More Time? Multi-task Learning for Customized Travel Time Estimation. 1689-1696 - Cunjing Ge, Feifei Ma, Xutong Ma, Fan Zhang, Pei Huang, Jian Zhang:
Approximating Integer Solution Counting via Space Quantification for Linear Constraints. 1697-1703 - Amélie Gheerbrant, Cristina Sirangelo:
Best Answers over Incomplete Data : Complexity and First-Order Rewritings. 1704-1710 - Stephan Gocht, Jakob Nordström, Amir Yehudayoff:
On Division Versus Saturation in Pseudo-Boolean Solving. 1711-1718 - Tomasz Gogacz, Víctor Gutiérrez-Basulto, Yazmín Ibáñez-García, Jean Christoph Jung, Filip Murlak:
On Finite and Unrestricted Query Entailment beyond SQ with Number Restrictions on Transitive Roles. 1719-1725 - Adrian Haret, Stefan Woltran:
Belief Revision Operators with Varying Attitudes Towards Initial Beliefs. 1726-1733 - Wojciech Jamroga, Michal Knapik:
Some Things are Easier for the Dumb and the Bright Ones (Beware the Average!). 1734-1740 - Dominik Klein, Rasmus Kræmmer Rendsvig:
Converging on Common Knowledge. 1741-1748 - Sébastien Konieczny, Pierre Marquis, Srdjan Vesic:
Rational Inference Relations from Maximal Consistent Subsets Selection. 1749-1755 - Christophe Labreuche, Sébastien Destercke:
How to Handle Missing Values in Multi-Criteria Decision Aiding?. 1756-1763 - Gerhard Lakemeyer, Hector J. Levesque:
A Tractable, Expressive, and Eventually Complete First-Order Logic of Limited Belief. 1764-1771 - Wuwei Lan, Yanyan Xu, Bin Zhao:
Travel Time Estimation without Road Networks: An Urban Morphological Layout Representation Approach. 1772-1778 - Freddy Lécué, Jiaoyan Chen, Jeff Z. Pan, Huajun Chen:
Augmenting Transfer Learning with Semantic Reasoning. 1779-1785 - Domenico Lembo, Riccardo Rosati, Domenico Fabio Savo:
Revisiting Controlled Query Evaluation in Description Logics. 1786-1792 - Ang Li, Judea Pearl:
Unit Selection Based on Counterfactual Logic. 1793-1799 - Zhongyang Li, Xiao Ding, Ting Liu:
Story Ending Prediction by Transferable BERT. 1800-1806 - Wei Liu, Zhi-Jie Wang, Bin Yao, Jian Yin:
Geo-ALM: POI Recommendation by Fusing Geographical Information and Adversarial Learning Mechanism. 1807-1813 - Kailun Luo, Yongmei Liu:
Automatic Verification of FSA Strategies via Counterexample-Guided Local Search for Invariants. 1814-1821 - Hugo Martin, Patrice Perny:
BiOWA for Preference Aggregation with Bipolar Scales: Application to Fair Optimization in Combinatorial Domains. 1822-1828 - Charalampos Nikolaou, Bernardo Cuenca Grau, Egor V. Kostylev, Mark Kaminski, Ian Horrocks:
Satisfaction and Implication of Integrity Constraints in Ontology-based Data Access. 1829-1835 - Aomar Osmani, Massinissa Hamidi, Salah Bouhouche:
Monitoring of a Dynamic System Based on Autoencoders. 1836-1843 - Michaël Perrot, Ulrike von Luxburg:
Boosting for Comparison-Based Learning. 1844-1850 - Vladislav Ryzhikov, Przemyslaw Andrzej Walega, Michael Zakharyaschev:
Data Complexity and Rewritability of Ontology-Mediated Queries in Metric Temporal Logic under the Event-Based Semantics. 1851-1857 - Jandson S. Ribeiro, Abhaya Nayak, Renata Wassermann:
Belief Update without Compactness in Non-finitary Languages. 1858-1864 - Nicolas Schwind, Katsumi Inoue, Sébastien Konieczny, Jean-Marie Lagniez, Pierre Marquis:
What Has Been Said? Identifying the Change Formula in a Belief Revision Scenario. 1865-1871 - Dhanya Sridhar, Lise Getoor:
Estimating Causal Effects of Tone in Online Debates. 1872-1878 - Jakob Suchan, Mehul Bhatt, Srikrishna Varadarajan:
Out of Sight But Not Out of Mind: An Answer Set Programming Based Online Abduction Framework for Visual Sensemaking in Autonomous Driving. 1879-1885 - Przemyslaw Andrzej Walega, Bernardo Cuenca Grau, Mark Kaminski, Egor V. Kostylev:
DatalogMTL: Computational Complexity and Expressive Power. 1886-1892 - Leye Wang, Xu Geng, Xiaojuan Ma, Feng Liu, Qiang Yang:
Cross-City Transfer Learning for Deep Spatio-Temporal Prediction. 1893-1899 - Paul Wild, Lutz Schröder, Dirk Pattinson, Barbara König:
A Modal Characterization Theorem for a Probabilistic Fuzzy Description Logic. 1900-1906 - Zonghan Wu, Shirui Pan, Guodong Long, Jing Jiang, Chengqi Zhang:
Graph WaveNet for Deep Spatial-Temporal Graph Modeling. 1907-1913 - Jinfu Xia, Yan Zhao, Guanfeng Liu, Jiajie Xu, Min Zhang, Kai Zheng:
Profit-driven Task Assignment in Spatial Crowdsourcing. 1914-1920 - Zhipeng Xie, Feiteng Mu:
Boosting Causal Embeddings via Potential Verb-Mediated Causal Patterns. 1921-1927 - Bingbing Xu, Huawei Shen, Qi Cao, Keting Cen, Xueqi Cheng:
Graph Convolutional Networks using Heat Kernel for Semi-supervised Learning. 1928-1934 - Shihui Yang, Jidong Tian, Honglun Zhang, Junchi Yan, Hao He, Yaohui Jin:
TransMS: Knowledge Graph Embedding for Complex Relations by Multidirectional Semantics. 1935-1942 - Qiannan Zhu, Xiaofei Zhou, Jia Wu, Jianlong Tan, Li Guo:
Neighborhood-Aware Attentional Representation for Multilingual Knowledge Graphs. 1943-1949
Machine Learning A-L
- David Abel, John Winder, Marie desJardins, Michael L. Littman:
The Expected-Length Model of Options. 1951-1958 - Homayun Afrabandpey, Tomi Peltola, Samuel Kaski:
Human-in-the-loop Active Covariance Learning for Improving Prediction in Small Data Sets. 1959-1966 - Pritom Saha Akash, Md. Eusha Kadir, Amin Ahsan Ali, Mohammad Shoyaib:
Inter-node Hellinger Distance based Decision Tree. 1967-1973 - Hamoon Azizsoltani, Yeo-Jin Kim, Markel Sanz Ausin, Tiffany Barnes, Min Chi:
Unobserved Is Not Equal to Non-existent: Using Gaussian Processes to Infer Immediate Rewards Across Contexts. 1974-1980 - Lei Bai, Lina Yao, Salil S. Kanhere, Xianzhi Wang, Quan Z. Sheng:
STG2Seq: Spatial-Temporal Graph to Sequence Model for Multi-step Passenger Demand Forecasting. 1981-1987 - Yunsheng Bai, Hao Ding, Yang Qiao, Agustin Marinovic, Ken Gu, Ting Chen, Yizhou Sun, Wei Wang:
Unsupervised Inductive Graph-Level Representation Learning via Graph-Graph Proximity. 1988-1994 - Yogesh Balaji, Martin Renqiang Min, Bing Bai, Rama Chellappa, Hans Peter Graf:
Conditional GAN with Discriminative Filter Generation for Text-to-Video Synthesis. 1995-2001 - Elaheh Barati, Xuewen Chen:
An Actor-Critic-Attention Mechanism for Deep Reinforcement Learning in Multi-view Environments. 2002-2008 - Alessandro Betti, Marco Gori, Stefano Melacci:
Motion Invariance in Visual Environments. 2009-2015 - Djallel Bouneffouf, Srinivasan Parthasarathy, Horst Samulowitz, Martin Wistuba:
Optimal Exploitation of Clustering and History Information in Multi-armed Bandit. 2016-2022 - Nadjet Bourdache, Patrice Perny, Olivier Spanjaard:
Incremental Elicitation of Rank-Dependent Aggregation Functions based on Bayesian Linear Regression. 2023-2029 - Klaus Broelemann, Gjergji Kasneci:
A Gradient-Based Split Criterion for Highly Accurate and Transparent Model Trees. 2030-2037 - Emanuele Bugliarello, Swayambhoo Jain, Vineeth Rakesh:
Matrix Completion in the Unit Hypercube via Structured Matrix Factorization. 2038-2044 - Kalesha Bullard, Yannick Schroecker, Sonia Chernova:
Active Learning within Constrained Environments through Imitation of an Expert Questioner. 2045-2052 - Jia-Jia Cai, Jun Tang, Qing-Guo Chen, Yao Hu, Xiaobo Wang, Sheng-Jun Huang:
Multi-View Active Learning for Video Recommendation. 2053-2059 - Ruichu Cai, Zijian Li, Pengfei Wei, Jie Qiao, Kun Zhang, Zhifeng Hao:
Learning Disentangled Semantic Representation for Domain Adaptation. 2060-2066 - Bertrand Charpentier, Thomas Bonald:
Tree Sampling Divergence: An Information-Theoretic Metric for Hierarchical Graph Clustering. 2067-2073 - Haipeng Chen, Sushil Jajodia, Jing Liu, Noseong Park, Vadim Sokolov, V. S. Subrahmanian:
FakeTables: Using GANs to Generate Functional Dependency Preserving Tables with Bounded Real Data. 2074-2080 - Hao Chen, Zhanfeng Mo, Zhouwang Yang, Xiao Wang:
Theoretical Investigation of Generalization Bound for Residual Networks. 2081-2087 - Jiaoyan Chen, Ernesto Jiménez-Ruiz, Ian Horrocks, Charles Sutton:
Learning Semantic Annotations for Tabular Data. 2088-2094 - Liang Chen, Yang Liu, Xiangnan He, Lianli Gao, Zibin Zheng:
Matching User with Item Set: Collaborative Bundle Recommendation with Deep Attention Network. 2095-2101 - Shangyu Chen, Wenya Wang, Sinno Jialin Pan:
Cooperative Pruning in Cross-Domain Deep Neural Network Compression. 2102-2108 - Tian-Yi Chen, Lan Zhang, Shi-cong Zhang, Zi-long Li, Bai-chuan Huang:
Extensible Cross-Modal Hashing. 2109-2115 - Weijian Chen, Yulong Gu, Zhaochun Ren, Xiangnan He, Hongtao Xie, Tong Guo, Dawei Yin, Yongdong Zhang:
Semi-supervised User Profiling with Heterogeneous Graph Attention Networks. 2116-2122 - Xia Chen, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Zhao Li, Xiangliang Zhang:
ActiveHNE: Active Heterogeneous Network Embedding. 2123-2129 - Zefeng Chen, Yuren Zhou, Xiaoyu He, Siyu Jiang:
A Restart-based Rank-1 Evolution Strategy for Reinforcement Learning. 2130-2136 - Zhongxia Chen, Xiting Wang, Xing Xie, Tong Wu, Guoqing Bu, Yining Wang, Enhong Chen:
Co-Attentive Multi-Task Learning for Explainable Recommendation. 2137-2143 - Zitai Chen, Chuan Chen, Zong Zhang, Zibin Zheng, Qingsong Zou:
Variational Graph Embedding and Clustering with Laplacian Eigenmaps. 2144-2150 - Anfeng Cheng, Chuan Zhou, Hong Yang, Jia Wu, Lei Li, Jianlong Tan, Li Guo:
Deep Active Learning for Anchor User Prediction. 2151-2157 - Chaoran Cheng, Fei Tan, Xiurui Hou, Zhi Wei:
Success Prediction on Crowdfunding with Multimodal Deep Learning. 2158-2164 - Jinjin Chi, Jihong Ouyang, Ximing Li, Yang Wang, Meng Wang:
Approximate Optimal Transport for Continuous Densities with Copulas. 2165-2171 - Youngwon Choi, Joong-Ho Won:
Ornstein Auto-Encoders. 2172-2178 - Michael K. Cohen, Elliot Catt, Marcus Hutter:
A Strongly Asymptotically Optimal Agent in General Environments. 2179-2186 - Jean-Baptiste Cordonnier, Andreas Loukas:
Extrapolating Paths with Graph Neural Networks. 2187-2194 - Federico Corò, Gianlorenzo D'Angelo, Yllka Velaj:
Recommending Links to Maximize the Influence in Social Networks. 2195-2201 - Nhan Dam, Quan Hoang, Trung Le, Tu Dinh Nguyen, Hung Bui, Dinh Phung:
Three-Player Wasserstein GAN via Amortised Duality. 2202-2208 - Ariyam Das, Jin Wang, Sahil M. Gandhi, Jae Lee, Wei Wang, Carlo Zaniolo:
Learn Smart with Less: Building Better Online Decision Trees with Fewer Training Examples. 2209-2215 - Kangle Deng, Tianyi Fei, Xin Huang, Yuxin Peng:
IRC-GAN: Introspective Recurrent Convolutional GAN for Text-to-video Generation. 2216-2222 - Maria Dimakopoulou, Nikos Vlassis, Tony Jebara:
Marginal Posterior Sampling for Slate Bandits. 2223-2229 - Jingtao Ding, Yuhan Quan, Xiangnan He, Yong Li, Depeng Jin:
Reinforced Negative Sampling for Recommendation with Exposure Data. 2230-2236 - Xinpeng Ding, Nannan Wang, Xinbo Gao, Jie Li, Xiaoyu Wang:
Group Reconstruction and Max-Pooling Residual Capsule Network. 2237-2243 - Minjing Dong, Hanting Chen, Yunhe Wang, Chang Xu:
Crafting Efficient Neural Graph of Large Entropy. 2244-2250 - Xingbo Du, Junchi Yan, Hongyuan Zha:
Joint Link Prediction and Network Alignment via Cross-graph Embedding. 2251-2257 - Soroush Ebadian, Xin Huang:
Fast Algorithm for K-Truss Discovery on Public-Private Graphs. 2258-2264 - Zhila Esna Ashari, Hassan Ghasemzadeh:
Mindful Active Learning. 2265-2271 - Yujie Fan, Yiming Zhang, Shifu Hou, Lingwei Chen, Yanfang Ye, Chuan Shi, Liang Zhao, Shouhuai Xu:
iDev: Enhancing Social Coding Security by Cross-platform User Identification Between GitHub and Stack Overflow. 2272-2278 - Zhou Fan, Rui Su, Weinan Zhang, Yong Yu:
Hybrid Actor-Critic Reinforcement Learning in Parameterized Action Space. 2279-2285 - Shen Fang, Qi Zhang, Gaofeng Meng, Shiming Xiang, Chunhong Pan:
GSTNet: Global Spatial-Temporal Network for Traffic Flow Prediction. 2286-2293 - Lei Feng, Bo An:
Partial Label Learning by Semantic Difference Maximization. 2294-2300 - Yufei Feng, Fuyu Lv, Weichen Shen, Menghan Wang, Fei Sun, Yu Zhu, Keping Yang:
Deep Session Interest Network for Click-Through Rate Prediction. 2301-2307 - Francesco Foglino, Christiano Coletto Christakou, Ricardo Luna Gutierrez, Matteo Leonetti:
Curriculum Learning for Cumulative Return Maximization. 2308-2314 - Ian Fox, Jenna Wiens:
Advocacy Learning: Learning through Competition and Class-Conditional Representations. 2315-2321 - Chaoyou Fu, Liangchen Song, Xiang Wu, Guoli Wang, Ran He:
Neurons Merging Layer: Towards Progressive Redundancy Reduction for Deep Supervised Hashing. 2322-2328 - Haotian Fu, Hongyao Tang, Jianye Hao, Zihan Lei, Yingfeng Chen, Changjie Fan:
Deep Multi-Agent Reinforcement Learning with Discrete-Continuous Hybrid Action Spaces. 2329-2335 - Zhao-Yang Fu, De-Chuan Zhan, Xin-Chun Li, Yi-Xing Lu:
Automatic Successive Reinforcement Learning with Multiple Auxiliary Rewards. 2336-2342 - Francesco Fusco, Michalis Vlachos, Vasileios Vasileiadis, Kathrin Wardatzky, Johannes Schneider:
RecoNet: An Interpretable Neural Architecture for Recommender Systems. 2343-2349 - Yang Gao, Christian M. Meyer, Mohsen Mesgar, Iryna Gurevych:
Reward Learning for Efficient Reinforcement Learning in Extractive Document Summarisation. 2350-2356 - Javier Garcia-Barcos, Ruben Martinez-Cantin:
Fully Distributed Bayesian Optimization with Stochastic Policies. 2357-2363 - Xiang Geng, Bin Gu, Xiang Li, Wanli Shi, Guansheng Zheng, Heng Huang:
Scalable Semi-Supervised SVM via Triply Stochastic Gradients. 2364-2370 - Mahsa Ghasemi, Ufuk Topcu:
Perception-Aware Point-Based Value Iteration for Partially Observable Markov Decision Processes. 2371-2377 - Joachim Giesen, Frank Nussbaum, Christopher Schneider:
Efficient Regularization Parameter Selection for Latent Variable Graphical Models via Bi-Level Optimization. 2378-2384 - Prasoon Goyal, Scott Niekum, Raymond J. Mooney:
Using Natural Language for Reward Shaping in Reinforcement Learning. 2385-2391 - Qilong Gu, Arindam Banerjee:
Sketched Iterative Algorithms for Structured Generalized Linear Models. 2392-2398 - Junliang Guo, Linli Xu, Jingchang Liu:
SPINE: Structural Identity Preserved Inductive Network Embedding. 2399-2405 - Ting Guo, Xingquan Zhu, Yang Wang, Fang Chen:
Discriminative Sample Generation for Deep Imbalanced Learning. 2406-2412 - Xifeng Guo, En Zhu, Xinwang Liu, Jianping Yin:
Affine Equivariant Autoencoder. 2413-2419 - Xueying Guo, Xiaoxiao Wang, Xin Liu:
AdaLinUCB: Opportunistic Learning for Contextual Bandits. 2420-2427 - Yuchen Guo, Guiguang Ding, Jungong Han, Hang Shao, Xin Lou, Qionghai Dai:
Zero-shot Learning with Many Classes by High-rank Deep Embedding Networks. 2428-2434 - Yuchen Guo, Guiguang Ding, Jungong Han, Chenggang Yan, Jiyong Zhang, Qionghai Dai:
Landmark Selection for Zero-shot Learning. 2435-2441 - William H. Guss, Brandon Houghton, Nicholay Topin, Phillip Wang, Cayden R. Codel, Manuela Veloso, Ruslan Salakhutdinov:
MineRL: A Large-Scale Dataset of Minecraft Demonstrations. 2442-2448 - Jiyeon Han, Kyowoon Lee, Anh Tong, Jaesik Choi:
Confirmatory Bayesian Online Change Point Detection in the Covariance Structure of Gaussian Processes. 2449-2455 - Kai Han, Yunhe Wang, Han Shu, Chuanjian Liu, Chunjing Xu, Chang Xu:
Attribute Aware Pooling for Pedestrian Attribute Recognition. 2456-2462 - Yu Han, Jie Tang, Qian Chen:
Network Embedding under Partial Monitoring for Evolving Networks. 2463-2469 - Manuel Haußmann, Fred A. Hamprecht, Melih Kandemir:
Deep Active Learning with Adaptive Acquisition. 2470-2476 - Tao He, Yuan-Fang Li, Lianli Gao, Dongxiang Zhang, Jingkuan Song:
One Network for Multi-Domains: Domain Adaptive Hashing with Intersectant Generative Adversarial Networks. 2477-2483 - Tianyu He, Yingce Xia, Jianxin Lin, Xu Tan, Di He, Tao Qin, Zhibo Chen:
Deliberation Learning for Image-to-Image Translation. 2484-2490 - Yi He, Baijun Wu, Di Wu, Ege Beyazit, Sheng Chen, Xindong Wu:
Online Learning from Capricious Data Streams: A Generative Approach. 2491-2497 - Ryohei Hisano:
Learning Topic Models by Neighborhood Aggregation. 2498-2505 - Haruo Hosoya:
Group-based Learning of Disentangled Representations with Generalizability for Novel Contents. 2506-2513 - En-Liang Hu, Quanming Yao:
Robust Learning from Noisy Side-information by Semidefinite Programming. 2514-2520 - Peng Hu, Rong Du, Yao Hu, Nan Li:
Hybrid Item-Item Recommendation via Semi-Parametric Embedding. 2521-2527 - Yi-Qi Hu, Yang Yu, Jun-Da Liao:
Cascaded Algorithm-Selection and Hyper-Parameter Optimization with Extreme-Region Upper Confidence Bound Bandit. 2528-2534 - Mengdi Huai, Hongfei Xue, Chenglin Miao, Liuyi Yao, Lu Su, Changyou Chen, Aidong Zhang:
Deep Metric Learning: The Generalization Analysis and an Adaptive Algorithm. 2535-2541 - Mengdi Huai, Di Wang, Chenglin Miao, Jinhui Xu, Aidong Zhang:
Privacy-aware Synthesizing for Crowdsourced Data. 2542-2548 - Feihu Huang, Shangqian Gao, Songcan Chen, Heng Huang:
Zeroth-Order Stochastic Alternating Direction Method of Multipliers for Nonconvex Nonsmooth Optimization. 2549-2555 - Haiwen Huang, Chang Wang, Bin Dong:
Nostalgic Adam: Weighting More of the Past Gradients When Designing the Adaptive Learning Rate. 2556-2562 - Zhenyu Huang, Joey Tianyi Zhou, Xi Peng, Changqing Zhang, Hongyuan Zhu, Jiancheng Lv:
Multi-view Spectral Clustering Network. 2563-2569 - Marcus Hutter, Samuel Yang-Zhao, Sultan Javed Majeed:
Conditions on Features for Temporal Difference-Like Methods to Converge. 2570-2577 - Riikka Huusari, Hachem Kadri:
Entangled Kernels. 2578-2584 - Tsuyoshi Idé, Rudy Raymond, Dzung T. Phan:
Efficient Protocol for Collaborative Dictionary Learning in Decentralized Networks. 2585-2591 - Eugene Ie, Vihan Jain, Jing Wang, Sanmit Narvekar, Ritesh Agarwal, Rui Wu, Heng-Tze Cheng, Tushar Chandra, Craig Boutilier:
SlateQ: A Tractable Decomposition for Reinforcement Learning with Recommendation Sets. 2592-2599 - Ankit Jalan, Purushottam Kar:
Accelerating Extreme Classification via Adaptive Feature Agglomeration. 2600-2606 - Heejin Jeong, Clark Zhang, George J. Pappas, Daniel D. Lee:
Assumed Density Filtering Q-learning. 2607-2613 - Jinlong Ji, Xuhui Chen, Qianlong Wang, Lixing Yu, Pan Li:
Learning to Learn Gradient Aggregation by Gradient Descent. 2614-2620 - Taoran Ji, Zhiqian Chen, Nathan Self, Kaiqun Fu, Chang-Tien Lu, Naren Ramakrishnan:
Patent Citation Dynamics Modeling via Multi-Attention Recurrent Networks. 2621-2627 - Xiaowei Jia, Mengdie Wang, Ankush Khandelwal, Anuj Karpatne, Vipin Kumar:
Recurrent Generative Networks for Multi-Resolution Satellite Data: An Application in Cropland Monitoring. 2628-2634 - Jianwen Jiang, Yuxuan Wei, Yifan Feng, Jingxuan Cao, Yue Gao:
Dynamic Hypergraph Neural Networks. 2635-2641 - Junyang Jiang, Deqing Yang, Yanghua Xiao, Chenlu Shen:
Convolutional Gaussian Embeddings for Personalized Recommendation with Uncertainty. 2642-2648 - Qiang Jiang, Michael Ng:
Robust Low-Tubal-Rank Tensor Completion via Convex Optimization. 2649-2655 - Xiaodong Jiang, Pengsheng Ji, Sheng Li:
CensNet: Convolution with Edge-Node Switching in Graph Neural Networks. 2656-2662 - Di Jin, Bingyi Li, Pengfei Jiao, Dongxiao He, Weixiong Zhang:
Network-Specific Variational Auto-Encoder for Embedding in Attribute Networks. 2663-2669 - Taisong Jin, Liujuan Cao, Baochang Zhang, Xiaoshuai Sun, Cheng Deng, Rongrong Ji:
Hypergraph Induced Convolutional Manifold Networks. 2670-2676 - K. J. Joseph, Vamshi Teja R, Krishnakant Singh, Vineeth N. Balasubramanian:
Submodular Batch Selection for Training Deep Neural Networks. 2677-2683 - Arthur Juliani, Ahmed Khalifa, Vincent-Pierre Berges, Jonathan Harper, Ervin Teng, Hunter Henry, Adam Crespi, Julian Togelius, Danny Lange:
Obstacle Tower: A Generalization Challenge in Vision, Control, and Planning. 2684-2691 - Parameswaran Kamalaruban, Rati Devidze, Volkan Cevher, Adish Singla:
Interactive Teaching Algorithms for Inverse Reinforcement Learning. 2692-2700 - Zhao Kang, Zipeng Guo, Shudong Huang, Siying Wang, Wenyu Chen, Yuanzhang Su, Zenglin Xu:
Multiple Partitions Aligned Clustering. 2701-2707 - Eoin M. Kenny, Mark T. Keane:
Twin-Systems to Explain Artificial Neural Networks using Case-Based Reasoning: Comparative Tests of Feature-Weighting Methods in ANN-CBR Twins for XAI. 2708-2715 - Pasha Khosravi, Yitao Liang, YooJung Choi, Guy Van den Broeck:
What to Expect of Classifiers? Reasoning about Logistic Regression with Missing Features. 2716-2724 - Tung Kieu, Bin Yang, Chenjuan Guo, Christian S. Jensen:
Outlier Detection for Time Series with Recurrent Autoencoder Ensembles. 2725-2732 - Seungchan Kim, Kavosh Asadi, Michael L. Littman, George Dimitri Konidaris:
DeepMellow: Removing the Need for a Target Network in Deep Q-Learning. 2733-2739 - Yejin Kim, Kwangseob Kim, Chanyoung Park, Hwanjo Yu:
Sequential and Diverse Recommendation with Long Tail. 2740-2746 - Qiuqiang Kong, Yong Xu, Philip J. B. Jackson, Wenwu Wang, Mark D. Plumbley:
Single-Channel Signal Separation and Deconvolution with Generative Adversarial Networks. 2747-2753 - Dmytro Korenkevych, A. Rupam Mahmood, Gautham Vasan, James Bergstra:
Autoregressive Policies for Continuous Control Deep Reinforcement Learning. 2754-2762 - Bartosz Krawczyk, Alberto Cano:
Adaptive Ensemble Active Learning for Drifting Data Stream Mining. 2763-2771 - Anurag Kumar, Ankit Shah, Alexander G. Hauptmann, Bhiksha Raj:
Learning Sound Events from Webly Labeled Data. 2772-2778 - Nupur Kumari, Mayank Singh, Abhishek Sinha, Harshitha Machiraju, Balaji Krishnamurthy, Vineeth N. Balasubramanian:
Harnessing the Vulnerability of Latent Layers in Adversarially Trained Models. 2779-2785 - Branislav Kveton, Csaba Szepesvári, Mohammad Ghavamzadeh, Craig Boutilier:
Perturbed-History Exploration in Stochastic Multi-Armed Bandits. 2786-2793 - Lin Lan, Zhenguo Li, Xiaohong Guan, Pinghui Wang:
Meta Reinforcement Learning with Task Embedding and Shared Policy. 2794-2800 - Thibault Laugel, Marie-Jeanne Lesot, Christophe Marsala, Xavier Renard, Marcin Detyniecki:
The Dangers of Post-hoc Interpretability: Unjustified Counterfactual Explanations. 2801-2807 - Duc-Trong Le, Hady W. Lauw, Yuan Fang:
Correlation-Sensitive Next-Basket Recommendation. 2808-2814 - Dung D. Le, Hady W. Lauw:
Learning Multiple Maps from Conditional Ordinal Triplets. 2815-2822 - Trung Le, Quan Hoang, Hung Vu, Tu Dinh Nguyen, Hung Bui, Dinh Q. Phung:
Learning Generative Adversarial Networks from Multiple Data Sources. 2823-2829 - Dongha Lee, Chanyoung Park, Hyunjun Ju, Junyoung Hwang, Hwanjo Yu:
Action Space Learning for Heterogeneous User Behavior Prediction. 2830-2836 - Seungwon Lee, James Stokes, Eric Eaton:
Learning Shared Knowledge for Deep Lifelong Learning using Deconvolutional Networks. 2837-2844 - Qi Lei, Jinfeng Yi, Roman Vaculín, Lingfei Wu, Inderjit S. Dhillon:
Similarity Preserving Representation Learning for Time Series Clustering. 2845-2851 - Nam Lê Tien, Amaury Habrard, Marc Sebban:
Differentially Private Optimal Transport: Application to Domain Adaptation. 2852-2858 - Chang Li, Maarten de Rijke:
Cascading Non-Stationary Bandits: Online Learning to Rank in the Non-Stationary Cascade Model. 2859-2865 - Chenliang Li, Xichuan Niu, Xiangyang Luo, Zhenzhong Chen, Cong Quan:
A Review-Driven Neural Model for Sequential Recommendation. 2866-2872 - Chong Li, Kunyang Jia, Dan Shen, Chuanjin Richard Shi, Hongxia Yang:
Hierarchical Representation Learning for Bipartite Graphs. 2873-2879 - Jian Li, Yong Liu, Rong Yin, Weiping Wang:
Multi-Class Learning using Unlabeled Samples: Theory and Algorithm. 2880-2886 - Jian Li, Yong Liu, Rong Yin, Weiping Wang:
Approximate Manifold Regularization: Scalable Algorithm and Generalization Analysis. 2887-2893 - Jun Li, Yongjun Chen, Lei Cai, Ian Davidson, Shuiwang Ji:
Dense Transformer Networks for Brain Electron Microscopy Image Segmentation. 2894-2900 - Longyuan Li, Junchi Yan, Xiaokang Yang, Yaohui Jin:
Learning Interpretable Deep State Space Model for Probabilistic Time Series Forecasting. 2901-2908 - Pengcheng Li, Jinfeng Yi, Bowen Zhou, Lijun Zhang:
Improving the Robustness of Deep Neural Networks via Adversarial Training with Triplet Loss. 2909-2915 - Ruihuang Li, Changqing Zhang, Qinghua Hu, Pengfei Zhu, Zheng Wang:
Flexible Multi-View Representation Learning for Subspace Clustering. 2916-2922 - Shuai Li, Wei Chen, Shuai Li, Kwong-Sak Leung:
Improved Algorithm on Online Clustering of Bandits. 2923-2929 - Xiaosheng Li, Jessica Lin, Liang Zhao:
Linear Time Complexity Time Series Clustering with Symbolic Pattern Forest. 2930-2936 - Yu Li, Ying Wang, Tingting Zhang, Jiawei Zhang, Yi Chang:
Learning Network Embedding with Community Structural Information. 2937-2943 - Zhangheng Li, Jia-Xing Zhong, Jingjia Huang, Tao Zhang, Thomas H. Li, Ge Li:
ARMIN: Towards a More Efficient and Light-weight Recurrent Memory Network. 2944-2951 - Zhaoyang Li, Qianqian Wang, Zhiqiang Tao, Quanxue Gao, Zhaohua Yang:
Deep Adversarial Multi-view Clustering Network. 2952-2958 - Ziyao Li, Liang Zhang, Guojie Song:
GCN-LASE: Towards Adequately Incorporating Link Attributes in Graph Convolutional Networks. 2959-2965 - Xiaoyuan Liang, Martin Renqiang Min, Hongyu Guo, Guiling Wang:
Learning K-way D-dimensional Discrete Embedding for Hierarchical Data Visualization and Retrieval. 2966-2972 - Shuangli Liao, Quanxue Gao, Feiping Nie, Yang Liu, Xiangdong Zhang:
Worst-Case Discriminative Feature Selection. 2973-2979 - Jianxin Lin, Yingce Xia, Yijun Wang, Tao Qin, Zhibo Chen:
Image-to-Image Translation with Multi-Path Consistency Regularization. 2980-2986 - Weibo Lin, Zhu He, Mingyu Xiao:
Balanced Clustering: A Uniform Model and Fast Algorithm. 2987-2993 - Chihuang Liu, Joseph F. JáJá:
Feature Prioritization and Regularization Improve Standard Accuracy and Adversarial Robustness. 2994-3000 - Chuanjian Liu, Yunhe Wang, Kai Han, Chunjing Xu, Chang Xu:
Learning Instance-wise Sparsity for Accelerating Deep Models. 3001-3007 - Kai Liu, Lodewijk Brand, Hua Wang, Feiping Nie:
Learning Robust Distance Metric with Side Information via Ratio Minimization of Orthogonally Constrained L21-Norm Distances. 3008-3014 - Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Lina Yao, Chengqi Zhang:
Prototype Propagation Networks (PPN) for Weakly-supervised Few-shot Learning on Category Graph. 3015-3022 - Wen Liu, Weixin Luo, Zhengxin Li, Peilin Zhao, Shenghua Gao:
Margin Learning Embedded Prediction for Video Anomaly Detection with A Few Anomalies. 3023-3030 - Xingbo Liu, Xiushan Nie, Quan Zhou, Xiaoming Xi, Lei Zhu, Yilong Yin:
Supervised Short-Length Hashing. 3031-3037 - Yang Liu, De-Yan Xie, Quanxue Gao, Jungong Han, Shujian Wang, Xinbo Gao:
Graph and Autoencoder Based Feature Extraction for Zero-shot Learning. 3038-3044 - Yuanyuan Liu, Fanhua Shang, Licheng Jiao:
Accelerated Incremental Gradient Descent using Momentum Acceleration with Scaling Factor. 3045-3051 - Yuliang Liu, Sheng Zhang, Lianwen Jin, Lele Xie, Yaqiang Wu, Zhepeng Wang:
Omnidirectional Scene Text Detection with Sequential-free Box Discretization. 3052-3058 - Zheng Liu, Yu Xing, Fangzhao Wu, Mingxiao An, Xing Xie:
Hi-Fi Ark: Deep User Representation via High-Fidelity Archive Network. 3059-3065 - Zhi Gang Liu, Matthew Mattina:
Learning Low-precision Neural Networks without Straight-Through Estimator (STE). 3066-3072 - Ziquan Liu, Lei Yu, Janet H. Hsiao, Antoni B. Chan:
Parametric Manifold Learning of Gaussian Mixture Models. 3073-3079 - Shiyin Lu, Guanghui Wang, Yao Hu, Lijun Zhang:
Multi-Objective Generalized Linear Bandits. 3080-3086 - Sihui Luo, Xinchao Wang, Gongfan Fang, Yao Hu, Dapeng Tao, Mingli Song:
Knowledge Amalgamation from Heterogeneous Networks by Common Feature Learning. 3087-3093 - Yonghong Luo, Ying Zhang, Xiangrui Cai, Xiaojie Yuan:
E²GAN: End-to-End Generative Adversarial Network for Multivariate Time Series Imputation. 3094-3100 - Jiaqi Lv, Ning Xu, RenYi Zheng, Xin Geng:
Weakly Supervised Multi-Label Learning via Label Enhancement. 3101-3107
Machine Learning M-Z
- Haojie Ma, Wenzhong Li, Xiao Zhang, Songcheng Gao, Sanglu Lu:
AttnSense: Multi-level Attention Mechanism For Multimodal Human Activity Recognition. 3109-3115 - Xiaobai Ma, Katherine Rose Driggs-Campbell, Zongzhang Zhang, Mykel J. Kochenderfer:
Monte Carlo Tree Search for Policy Optimization. 3116-3122 - Yuqing Ma, Xianglong Liu, Shihao Bai, Lei Wang, Dailan He, Aishan Liu:
Coarse-to-Fine Image Inpainting via Region-wise Convolutions and Non-Local Correlation. 3123-3129 - Jincheng Mei, Chenjun Xiao, Ruitong Huang, Dale Schuurmans, Martin Müller:
On Principled Entropy Exploration in Policy Optimization. 3130-3136 - Christian Meilicke, Melisachew Wudage Chekol, Daniel Ruffinelli, Heiner Stuckenschmidt:
Anytime Bottom-Up Rule Learning for Knowledge Graph Completion. 3137-3143 - Katherine Metcalf, David Leake:
Unsupervised Hierarchical Temporal Abstraction by Simultaneously Learning Expectations and Representations. 3144-3150 - Fei Mi, Minlie Huang, Jiyong Zhang, Boi Faltings:
Meta-Learning for Low-resource Natural Language Generation in Task-oriented Dialogue Systems. 3151-3157 - Di Ming, Chris Ding:
Robust Flexible Feature Selection via Exclusive L21 Regularization. 3158-3164 - Martin Mladenov, Ofer Meshi, Jayden Ooi, Dale Schuurmans, Craig Boutilier:
Advantage Amplification in Slowly Evolving Latent-State Environments. 3165-3172 - Jeremy Morton, Freddie D. Witherden, Mykel J. Kochenderfer:
Deep Variational Koopman Models: Inferring Koopman Observations for Uncertainty-Aware Dynamics Modeling and Control. 3173-3179 - Nikhil Muralidhar, Sathappan Muthiah, Naren Ramakrishnan:
DyAt Nets: Dynamic Attention Networks for State Forecasting in Cyber-Physical Systems. 3180-3186 - Mehrnaz Najafi, Lifang He, Philip S. Yu:
Outlier-Robust Multi-Aspect Streaming Tensor Completion and Factorization. 3187-3194 - Jun Hao Alvin Ng, Ronald P. A. Petrick:
Incremental Learning of Planning Actions in Model-Based Reinforcement Learning. 3195-3201 - Saullo H. G. Oliveira, André R. Gonçalves, Fernando J. Von Zuben:
Group LASSO with Asymmetric Structure Estimation for Multi-Task Learning. 3202-3208 - Yangchen Pan, Hengshuai Yao, Amir-massoud Farahmand, Martha White:
Hill Climbing on Value Estimates for Search-control in Dyna. 3209-3215 - Elham Parhizkar, Mohammad Hossein Nikravan, Sandra Zilles:
Indirect Trust is Simple to Establish. 3216-3222 - Hogun Park, Jennifer Neville:
Exploiting Interaction Links for Node Classification with Deep Graph Neural Networks. 3223-3230 - Shichao Pei, Lu Yu, Xiangliang Zhang:
Improving Cross-lingual Entity Alignment via Optimal Transport. 3231-3237 - Hao Peng, Jianxin Li, Qiran Gong, Yangqiu Song, Yuanxing Ning, Kunfeng Lai, Philip S. Yu:
Fine-grained Event Categorization with Heterogeneous Graph Convolutional Networks. 3238-3245 - Yi Peng, Miao Xie, Jiahao Liu, Xuying Meng, Nan Li, Cheng Yang, Tao Yao, Rong Jin:
A Practical Semi-Parametric Contextual Bandit. 3246-3252 - João P. B. Pereira, Albert K. Groen, Erik S. G. Stroes, Evgeni Levin:
Graph Space Embedding. 3253-3259 - Felipe Petroski Such, Vashisht Madhavan, Rosanne Liu, Rui Wang, Pablo Samuel Castro, Yulun Li, Jiale Zhi, Ludwig Schubert, Marc G. Bellemare, Jeff Clune, Joel Lehman:
An Atari Model Zoo for Analyzing, Visualizing, and Comparing Deep Reinforcement Learning Agents. 3260-3267 - Sheng Qian, Guanyue Li, Wen-Ming Cao, Cheng Liu, Si Wu, Hau-San Wong:
Improving representation learning in autoencoders via multidimensional interpolation and dual regularizations. 3268-3274 - Xiangju Qin, Paul Blomstedt, Samuel Kaski:
Scalable Bayesian Non-linear Matrix Completion. 3275-3281 - Zhenyu Qiu, Wenbin Hu, Jia Wu, Zhongzheng Tang, Xiaohua Jia:
Noise-Resilient Similarity Preserving Network Embedding for Social Networks. 3282-3288 - Tahleen A. Rahman, Bartlomiej Surma, Michael Backes, Yang Zhang:
Fairwalk: Towards Fair Graph Embedding. 3289-3295 - Herilalaina Rakotoarison, Marc Schoenauer, Michèle Sebag:
Automated Machine Learning with Monte-Carlo Tree Search. 3296-3303 - Rahul Ramesh, Manan Tomar, Balaraman Ravindran:
Successor Options: An Option Discovery Framework for Reinforcement Learning. 3304-3310 - Anshuka Rangi, Massimo Franceschetti, Long Tran-Thanh:
Unifying the Stochastic and the Adversarial Bandits with Knapsack. 3311-3317 - Tingting Ren, Xiuyi Jia, Weiwei Li, Lei Chen, Zechao Li:
Label distribution learning with label-specific features. 3318-3324 - Tingting Ren, Xiuyi Jia, Weiwei Li, Shu Zhao:
Label Distribution Learning with Label Correlations via Low-Rank Approximation. 3325-3331 - Amanda Rios, Laurent Itti:
Closed-Loop Memory GAN for Continual Learning. 3332-3338 - Mohammad Rostami, Soheil Kolouri, Praveen K. Pilly:
Complementary Learning for Overcoming Catastrophic Forgetting Using Experience Replay. 3339-3345 - Chunyang Ruan, Jiangang Ma, Ye Wang, Yanchun Zhang, Yun Yang:
Discovering Regularities from Traditional Chinese Medicine Prescriptions via Bipartite Embedding Model. 3346-3352 - Guillaume Salha, Romain Hennequin, Viet-Anh Tran, Michalis Vazirgiannis:
A Degeneracy Framework for Scalable Graph Autoencoders. 3353-3359 - Ritesh Sarkhel, Arnab Nandi:
Deterministic Routing between Layout Abstractions for Multi-Scale Classification of Visually Rich Documents. 3360-3366 - Florin Schimbinschi, Christian Walder, Sarah M. Erfani, James Bailey:
SynthNet: Learning to Synthesize Music End-to-End. 3367-3374 - Bo Shao, Yeyun Gong, Junwei Bao, Jianshu Ji, Guihong Cao, Xiaola Lin, Nan Duan:
Weakly Supervised Multi-task Learning for Semantic Parsing. 3375-3381 - Junming Shao, Zhong Zhang, Zhongjing Yu, Jun Wang, Yi Zhao, Qinli Yang:
Community Detection and Link Prediction via Cluster-driven Low-rank Matrix Completion. 3382-3388 - Yash Sharma, Gavin Weiguang Ding, Marcus A. Brubaker:
On the Effectiveness of Low Frequency Perturbations. 3389-3396 - Yunhang Shen, Rongrong Ji, Xiaopeng Hong, Feng Zheng, Xiaowei Guo, Yongjian Wu, Feiyue Huang:
A Part Power Set Model for Scale-Free Person Retrieval. 3397-3403 - Feng Shi, Yufeng Li:
Rapid Performance Gain through Active Model Reuse. 3404-3410 - Shaohuai Shi, Kaiyong Zhao, Qiang Wang, Zhenheng Tang, Xiaowen Chu:
A Convergence Analysis of Distributed SGD with Communication-Efficient Gradient Sparsification. 3411-3417 - Wanli Shi, Bin Gu, Xiang Li, Xiang Geng, Heng Huang:
Quadruply Stochastic Gradients for Large Scale Nonlinear Semi-Supervised AUC Optimization. 3418-3424 - Wenjie Shi, Shiji Song, Cheng Wu:
Soft Policy Gradient Method for Maximum Entropy Deep Reinforcement Learning. 3425-3431 - Yu Shi, Jian Li, Zhize Li:
Gradient Boosting with Piece-Wise Linear Regression Trees. 3432-3438 - Bonggun Shin, Hao Yang, Jinho D. Choi:
The Pupil Has Become the Master: Teacher-Student Model-Based Word Embedding Distillation with Ensemble Learning. 3439-3445 - Changjian Shui, Mahdieh Abbasi, Louis-Émile Robitaille, Boyu Wang, Christian Gagné:
A Principled Approach for Learning Task Similarity in Multitask Learning. 3446-3452 - Thiago D. Simão, Matthijs T. J. Spaan:
Structure Learning for Safe Policy Improvement. 3453-3459 - Pravendra Singh, Vinay Kumar Verma, Piyush Rai, Vinay P. Namboodiri:
Play and Prune: Adaptive Filter Pruning for Deep Model Compression. 3460-3466 - HyungSeok Song, Hyeryung Jang, Hai H. Tran, Se-eun Yoon, Kyunghwan Son, Donggyu Yun, Hyoju Chung, Yung Yi:
Solving Continual Combinatorial Selection via Deep Reinforcement Learning. 3467-3474 - Shihong Song, Jiayi Weng, Hang Su, Dong Yan, Haosheng Zou, Jun Zhu:
Playing FPS Games With Environment-Aware Hierarchical Reinforcement Learning. 3475-3482 - Yuxin Su, Shenglin Zhao, Xixian Chen, Irwin King, Michael R. Lyu:
Parallel Wasserstein Generative Adversarial Nets with Multiple Discriminators. 3483-3489 - Mahito Sugiyama, Karsten M. Borgwardt:
Finding Statistically Significant Interactions between Continuous Features. 3490-3498 - Lu Sun, Canh Hao Nguyen, Hiroshi Mamitsuka:
Fast and Robust Multi-View Multi-Task Learning via Group Sparsity. 3499-3505 - Lu Sun, Canh Hao Nguyen, Hiroshi Mamitsuka:
Multiplicative Sparse Feature Decomposition for Efficient Multi-View Multi-Task Learning. 3506-3512 - Mingfei Sun, Xiaojuan Ma:
Adversarial Imitation Learning from Incomplete Demonstrations. 3513-3519 - Tao Sun, Dongsheng Li, Zhe Quan, Hao Jiang, Shengguo Li, Yong Dou:
Heavy-ball Algorithms Always Escape Saddle Points. 3520-3526 - Yiwei Sun, Suhang Wang, Tsung-Yu Hsieh, Xianfeng Tang, Vasant G. Honavar:
MEGAN: A Generative Adversarial Network for Multi-View Network Embedding. 3527-3533 - Qiuling Suo, Weida Zhong, Fenglong Ma, Ye Yuan, Jing Gao, Aidong Zhang:
Metric Learning on Healthcare Data with Incomplete Modalities. 3534-3540 - Masaaki Takada, Hironori Fujisawa, Takeichiro Nishikawa:
HMLasso: Lasso with High Missing Rate. 3541-3547 - Zichang Tan, Yang Yang, Jun Wan, Guodong Guo, Stan Z. Li:
Deeply-learned Hybrid Representations for Facial Age Estimation. 3548-3554 - Philip Tannor, Lior Rokach:
AugBoost: Gradient Boosting Enhanced with Step-Wise Feature Augmentation. 3555-3561 - Zhiqiang Tao, Hongfu Liu, Jun Li, Zhaowen Wang, Yun Fu:
Adversarial Graph Embedding for Ensemble Clustering. 3562-3568 - Bing Tian, Yong Zhang, Jin Wang, Chunxiao Xing:
Hierarchical Inter-Attention Network for Document Classification with Multi-Task Learning. 3569-3575 - Junjiao Tian, Jean Oh:
Image Captioning with Compositional Neural Module Networks. 3576-3584 - Faraz Torabi, Garrett Warnell, Peter Stone:
Imitation Learning from Video by Leveraging Proprioception. 3585-3591 - Russell Tsuchida, Fred (Farbod) Roosta, Marcus Gallagher:
Exchangeability and Kernel Invariance in Trained MLPs. 3592-3598 - Evgenii Tsymbalov, Sergei Makarychev, Alexander Shapeev, Maxim Panov:
Deeper Connections between Neural Networks and Gaussian Processes Speed-up Active Learning. 3599-3605 - Rong-Cheng Tu, Xianling Mao, Bo-Si Feng, Shu-ying Yu:
Object Detection based Deep Unsupervised Hashing. 3606-3612 - Wei Tu, Dong Yang, Linglong Kong, Menglu Che, Qian Shi, Guodong Li, Guangjian Tian:
Ensemble-based Ultrahigh-dimensional Variable Screening. 3613-3619 - Burak Uzkent, Evan Sheehan, Chenlin Meng, Zhongyi Tang, Marshall Burke, David B. Lobell, Stefano Ermon:
Learning to Interpret Satellite Images using Wikipedia. 3620-3626 - Sunny Verma, Chen Wang, Liming Zhu, Wei Liu:
DeepCU: Integrating both Common and Unique Latent Information for Multimodal Sentiment Analysis. 3627-3634 - Vikas Verma, Alex Lamb, Juho Kannala, Yoshua Bengio, David Lopez-Paz:
Interpolation Consistency Training for Semi-supervised Learning. 3635-3641 - Tung-Long Vuong, Do Van Nguyen, Tai-Long Nguyen, Cong-Minh Bui, Hai-Dang Kieu, Viet-Cuong Ta, Quoc-Long Tran, Thanh Ha Le:
Sharing Experience in Multitask Reinforcement Learning. 3642-3648 - Yi Wan, Muhammad Zaheer, Adam White, Martha White, Richard S. Sutton:
Planning with Expectation Models. 3649-3655 - Baoxiang Wang:
Recurrent Existence Determination Through Policy Optimization. 3656-3662 - Bin Wang, Guojun Qi, Sheng Tang, Tianzhu Zhang, Yunchao Wei, Linghui Li, Yongdong Zhang:
Boundary Perception Guidance: A Scribble-Supervised Semantic Segmentation Approach. 3663-3669 - Chun Wang, Shirui Pan, Ruiqi Hu, Guodong Long, Jing Jiang, Chengqi Zhang:
Attributed Graph Clustering: A Deep Attentional Embedding Approach. 3670-3676 - Hao Wang, Linlin Zong, Bing Liu, Yan Yang, Wei Zhou:
Spectral Perturbation Meets Incomplete Multi-view Data. 3677-3683 - Hao Wang, Shaokang Dong, Ling Shao:
Measuring Structural Similarities in Finite MDPs. 3684-3690 - Haobo Wang, Weiwei Liu, Yang Zhao, Chen Zhang, Tianlei Hu, Gang Chen:
Discriminative and Correlative Partial Multi-Label Learning. 3691-3697 - Huizhao Wang, Guanfeng Liu, An Liu, Zhixu Li, Kai Zheng:
DMRAN: A Hierarchical Fine-Grained Attention-Based Network for Recommendation. 3698-3704 - Jia Wang, Tong Sun, Benyuan Liu, Yu Cao, Hongwei Zhu:
CLVSA: A Convolutional LSTM Based Variational Sequence-to-Sequence Model with Attention for Predicting Trends of Financial Markets. 3705-3711 - Jing Wang, Xin Geng:
Classification with Label Distribution Learning. 3712-3718 - Jing Wang, Linchuan Xu, Feng Tian, Atsushi Suzuki, Changqing Zhang, Kenji Yamanishi:
Attributed Subspace Clustering. 3719-3725 - Kaiqi Wang, Ke Chen, Kui Jia:
Deep Cascade Generation on Point Sets. 3726-3732 - Ke Wang, Xin Geng:
Discrete Binary Coding based Label Distribution Learning. 3733-3739 - Lingxiao Wang, Quanquan Gu:
Differentially Private Iterative Gradient Hard Thresholding for Sparse Learning. 3740-3747 - Ning Wang, Jingyuan Li, Lefei Zhang, Bo Du:
MUSICAL: Multi-Scale Image Contextual Attention Learning for Inpainting. 3748-3754 - Qian-Wei Wang, Yufeng Li, Zhi-Hua Zhou:
Partial Label Learning with Unlabeled Data. 3755-3761 - Shen Wang, Zhengzhang Chen, Xiao Yu, Ding Li, Jingchao Ni, Lu-An Tang, Jiaping Gui, Zhichun Li, Haifeng Chen, Philip S. Yu:
Heterogeneous Graph Matching Networks for Unknown Malware Detection. 3762-3770 - Shoujin Wang, Liang Hu, Yan Wang, Quan Z. Sheng, Mehmet A. Orgun, Longbing Cao:
Modeling Multi-Purpose Sessions for Next-Item Recommendations via Mixture-Channel Purpose Routing Networks. 3771-3777 - Siwei Wang, Xinwang Liu, En Zhu, Chang Tang, Jiyuan Liu, Jingtao Hu, Jingyuan Xia, Jianping Yin:
Multi-view Clustering via Late Fusion Alignment Maximization. 3778-3784 - Wenxiao Wang, Cong Fu, Jishun Guo, Deng Cai, Xiaofei He:
COP: Customized Deep Model Compression via Regularized Correlation-Based Filter-Level Pruning. 3785-3791 - Yaxiong Wang, Hao Yang, Xueming Qian, Lin Ma, Jing Lu, Biao Li, Xin Fan:
Position Focused Attention Network for Image-Text Matching. 3792-3798 - Yun Wang, Lun Du, Guojie Song, Xiaojun Ma, Lichen Jin, Wei Lin, Fei Sun:
Tag2Gauss: Learning Tag Representations via Gaussian Distribution in Tagged Networks. 3799-3805 - Yutong Wang, Jiyuan Zheng, Qijiong Liu, Zhou Zhao, Jun Xiao, Yueting Zhuang:
Weak Supervision Enhanced Generative Network for Question Generation. 3806-3812 - Zekai Wang, Hongzhi Liu, Yingpeng Du, Zhonghai Wu, Xing Zhang:
Unified Embedding Model over Heterogeneous Information Network for Personalized Recommendation. 3813-3819 - Zhaodong Wang, Matthew E. Taylor:
Interactive Reinforcement Learning with Dynamic Reuse of Prior Knowledge from Human and Agent Demonstrations. 3820-3827 - Zhitao Wang, Wenjie Li:
Hierarchical Diffusion Attention Network. 3828-3834 - Nirandika Wanigasekara, Yuxuan Liang, Siong Thye Goh, Ye Liu, Joseph Jay Williams, David S. Rosenblum:
Learning Multi-Objective Rewards and User Utility Function in Contextual Bandits for Personalized Ranking. 3835-3841 - Tong Wei, Wei-Wei Tu, Yufeng Li:
Learning for Tail Label Data: A Label-Specific Feature Approach. 3842-3848 - Jun Wen, Nenggan Zheng, Junsong Yuan, Zhefeng Gong, Changyou Chen:
Bayesian Uncertainty Matching for Unsupervised Domain Adaptation. 3849-3855 - Qingsong Wen, Jingkun Gao, Xiaomin Song, Liang Sun, Jian Tan:
RobustTrend: A Huber Loss with a Combined First and Second Order Difference Regularization for Time Series Trend Filtering. 3856-3862 - Chuhan Wu, Fangzhao Wu, Mingxiao An, Jianqiang Huang, Yongfeng Huang, Xing Xie:
Neural News Recommendation with Attentive Multi-View Learning. 3863-3869 - Qiong Wu, Yong Liu, Chunyan Miao, Binqiang Zhao, Yin Zhao, Lu Guan:
PD-GAN: Adversarial Learning for Personalized Diversity-Promoting Recommendation. 3870-3876 - Qitian Wu, Lei Jiang, Xiaofeng Gao, Xiaochun Yang, Guihai Chen:
Feature Evolution Based Multi-Task Learning for Collaborative Filtering with Social Trust. 3877-3883 - Xuan Wu, Qing-Guo Chen, Yao Hu, Dengbao Wang, Xiaodong Chang, Xiaobo Wang, Min-Ling Zhang:
Multi-View Multi-Label Learning with View-Specific Information Extraction. 3884-3890 - Xunxian Wu, Tong Xu, Hengshu Zhu, Le Zhang, Enhong Chen, Hui Xiong:
Trend-Aware Tensor Factorization for Job Skill Demand Analysis. 3891-3897 - Yongji Wu, Defu Lian, Shuowei Jin, Enhong Chen:
Graph Convolutional Networks on User Mobility Heterogeneous Graphs for Social Relationship Inference. 3898-3904 - Wu-Dong Xi, Ling Huang, Chang-Dong Wang, Yin-Yu Zheng, Jianhuang Lai:
BPAM: Recommendation Based on BP Neural Network with Attention Mechanism. 3905-3911 - Liuyu Xiang, Xiaoming Jin, Guiguang Ding, Jungong Han, Leida Li:
Incremental Few-Shot Learning for Pedestrian Attribute Recognition. 3912-3918 - Sang Michael Xie, Stefano Ermon:
Reparameterizable Subset Sampling via Continuous Relaxations. 3919-3925 - Xin Xin, Bo Chen, Xiangnan He, Dong Wang, Yue Ding, Joemon M. Jose:
CFM: Convolutional Factorization Machines for Context-Aware Recommendation. 3926-3932 - Cai Xu, Ziyu Guan, Wei Zhao, Hongchang Wu, Yunfei Niu, Beilei Ling:
Adversarial Incomplete Multi-view Clustering. 3933-3939 - Chengfeng Xu, Pengpeng Zhao, Yanchi Liu, Victor S. Sheng, Jiajie Xu, Fuzhen Zhuang, Junhua Fang, Xiaofang Zhou:
Graph Contextualized Self-Attention Network for Session-based Recommendation. 3940-3946 - Dongkuan Xu, Wei Cheng, Dongsheng Luo, Xiao Liu, Xiang Zhang:
Spatio-Temporal Attentive RNN for Node Classification in Temporal Attributed Graphs. 3947-3953 - Han Xu, Pengwei Liang, Wei Yu, Junjun Jiang, Jiayi Ma:
Learning a Generative Model for Fusing Infrared and Visible Images via Conditional Generative Adversarial Network with Dual Discriminators. 3954-3960 - Kaidi Xu, Hongge Chen, Sijia Liu, Pin-Yu Chen, Tsui-Wei Weng, Mingyi Hong, Xue Lin:
Topology Attack and Defense for Graph Neural Networks: An Optimization Perspective. 3961-3967 - Nuo Xu, Pinghui Wang, Long Chen, Jing Tao, Junzhou Zhao:
MR-GNN: Multi-Resolution and Dual Graph Neural Network for Predicting Structured Entity Interactions. 3968-3974 - Shengbin Xu, Yuan Yao, Feng Xu, Tianxiao Gu, Hanghang Tong, Jian Lu:
Commit Message Generation for Source Code Changes. 3975-3981 - Suping Xu, Lin Shang, Furao Shen:
Latent Semantics Encoding for Label Distribution Learning. 3982-3988 - Xiaofeng Xu, Ivor W. Tsang, Xiaofeng Cao, Ruiheng Zhang, Chuancai Liu:
Learning Image-Specific Attributes by Hyperbolic Neighborhood Graph Propagation. 3989-3995 - Xinyi Xu, Huanhuan Cao, Yanhua Yang, Erkun Yang, Cheng Deng:
Zero-shot Metric Learning. 3996-4002 - Yi Xu, Zhuoning Yuan, Sen Yang, Rong Jin, Tianbao Yang:
On the Convergence of (Stochastic) Gradient Descent with Extrapolation for Non-Convex Minimization. 4003-4009 - Zhe Xu, Ufuk Topcu:
Transfer of Temporal Logic Formulas in Reinforcement Learning. 4010-4018 - Hui Xue, Zheng-Fan Wu, Wei-Xiang Sun:
Deep Spectral Kernel Learning. 4019-4025 - Zhe Xue, Junping Du, Dawei Du, Wenqi Ren, Siwei Lyu:
Deep Correlated Predictive Subspace Learning for Incomplete Multi-View Semi-Supervised Classification. 4026-4032 - Cheng Yang, Jian Tang, Maosong Sun, Ganqu Cui, Zhiyuan Liu:
Multi-scale Information Diffusion Prediction with Reinforced Recurrent Networks. 4033-4039 - Haoxuan Yang, Kai Liu, Hua Wang, Feiping Nie:
Learning Strictly Orthogonal p-Order Nonnegative Laplacian Embedding via Smoothed Iterative Reweighted Method. 4040-4046 - Hong Yang, Shirui Pan, Ling Chen, Chuan Zhou, Peng Zhang:
Low-Bit Quantization for Attributed Network Representation Learning. 4047-4053 - Liang Yang, Zesheng Kang, Xiaochun Cao, Di Jin, Bo Yang, Yuanfang Guo:
Topology Optimization based Graph Convolutional Network. 4054-4061 - Liang Yang, Zhiyang Chen, Junhua Gu, Yuanfang Guo:
Dual Self-Paced Graph Convolutional Network: Towards Reducing Attribute Distortions Induced by Topology. 4062-4069 - Liang Yang, Fan Wu, Yingkui Wang, Junhua Gu, Yuanfang Guo:
Masked Graph Convolutional Network. 4070-4077 - Pei Yang, Qi Tan, Jieping Ye, Hanghang Tong, Jingrui He:
Deep Multi-Task Learning with Adversarial-and-Cooperative Nets. 4078-4084 - Wenmian Yang, Weijia Jia, Xiaojie Zhou, Yutao Luo:
Legal Judgment Prediction via Multi-Perspective Bi-Feedback Network. 4085-4091 - Yang Yang, Ke-Tao Wang, De-Chuan Zhan, Hui Xiong, Yuan Jiang:
Comprehensive Semi-Supervised Multi-Modal Learning. 4092-4098 - Yiding Yang, Xinchao Wang, Mingli Song, Junsong Yuan, Dacheng Tao:
SPAGAN: Shortest Path Graph Attention Network. 4099-4105 - Liuyi Yao, Sheng Li, Yaliang Li, Hongfei Xue, Jing Gao, Aidong Zhang:
On the Estimation of Treatment Effect with Text Covariates. 4106-4113 - Quanming Yao, Xiawei Guo, James T. Kwok, Wei-Wei Tu, Yuqiang Chen, Wenyuan Dai, Qiang Yang:
Privacy-Preserving Stacking with Application to Cross-organizational Diabetes Prediction. 4114-4120 - Shixin Yao, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang:
Multi-View Multiple Clustering. 4121-4127 - Jingwen Ye, Xinchao Wang, Yixin Ji, Kairi Ou, Mingli Song:
Amalgamating Filtered Knowledge: Learning Task-customized Student from Multi-task Teachers. 4128-4134 - Rui Ye, Xin Li, Yujie Fang, Hongyu Zang, Mingzhong Wang:
A Vectorized Relational Graph Convolutional Network for Multi-Relational Network Alignment. 4135-4141 - Xiucai Ye, Hongmin Li, Akira Imakura, Tetsuya Sakurai:
Distributed Collaborative Feature Selection Based on Intermediate Representation. 4142-4149 - Yanfang Ye, Shifu Hou, Lingwei Chen, Jingwei Lei, Wenqiang Wan, Jiabin Wang, Qi Xiong, Fudong Shao:
Out-of-sample Node Representation Learning for Heterogeneous Graph in Real-time Android Malware Detection. 4150-4156 - Fei Yi, Zhiwen Yu, Fuzhen Zhuang, Bin Guo:
Neural Network based Continuous Conditional Random Field for Fine-grained Crime Prediction. 4157-4163 - Mingyang Yi, Huishuai Zhang, Wei Chen, Zhi-Ming Ma, Tie-Yan Liu:
BN-invariant Sharpness Regularizes the Training Model to Better Generalization. 4164-4170 - Shihui Ying, Lipeng Cai, Changzhou He, Yaxin Peng:
Geometric Understanding for Unsupervised Subspace Learning. 4171-4177 - Jaemin Yoo, Hyunsik Jeon, U Kang:
Belief Propagation Network for Hard Inductive Semi-Supervised Learning. 4178-4184 - Kenny Young, Baoxiang Wang, Matthew E. Taylor:
Metatrace Actor-Critic: Online Step-Size Tuning by Meta-gradient Descent for Reinforcement Learning Control. 4185-4191 - Chong Yu:
Semi-supervised Three-dimensional Reconstruction Framework with GAN. 4192-4198 - Fuxun Yu, Zhuwei Qin, Chenchen Liu, Liang Zhao, Yanzhi Wang, Xiang Chen:
Interpreting and Evaluating Neural Network Robustness. 4199-4205 - Xianwen Yu, Xiaoning Zhang, Yang Cao, Min Xia:
VAEGAN: A Collaborative Filtering Framework based on Adversarial Variational Autoencoders. 4206-4212 - Zeping Yu, Jianxun Lian, Ahmad Mahmoody, Gongshen Liu, Xing Xie:
Adaptive User Modeling with Long and Short-Term Preferences for Personalized Recommendation. 4213-4219 - Zhengxu Yu, Zhongming Jin, Long Wei, Jishun Guo, Jianqiang Huang, Deng Cai, Xiaofei He, Xian-Sheng Hua:
Progressive Transfer Learning for Person Re-identification. 4220-4226 - Feng Yuan, Lina Yao, Boualem Benatallah:
DARec: Deep Domain Adaptation for Cross-Domain Recommendation via Transferring Rating Patterns. 4227-4233 - Linghua Zeng, Zhangcheng Wang, Xinmei Tian:
KCNN: Kernel-wise Quantization to Remarkably Decrease Multiplications in Convolutional Neural Network. 4234-4242 - Daochen Zha, Kwei-Herng Lai, Kaixiong Zhou, Xia Hu:
Experience Replay Optimization. 4243-4249 - Chuang Zhang, Dexin Ren, Tongliang Liu, Jian Yang, Chen Gong:
Positive and Unlabeled Learning with Label Disambiguation. 4250-4256 - Hu Zhang, Pan Zhou, Yi Yang, Jiashi Feng:
Generalized Majorization-Minimization for Non-Convex Optimization. 4257-4263 - Jiani Zhang, Xingjian Shi, Shenglin Zhao, Irwin King:
STAR-GCN: Stacked and Reconstructed Graph Convolutional Networks for Recommender Systems. 4264-4270 - Jianpeng Zhang, Yutong Xie, Pingping Zhang, Hao Chen, Yong Xia, Chunhua Shen:
Light-Weight Hybrid Convolutional Network for Liver Tumor Segmentation. 4271-4277 - Jie Zhang, Yuxiao Dong, Yan Wang, Jie Tang, Ming Ding:
ProNE: Fast and Scalable Network Representation Learning. 4278-4284 - Jingfeng Zhang, Bo Han, Laura Wynter, Bryan Kian Hsiang Low, Mohan S. Kankanhalli:
Towards Robust ResNet: A Small Step but a Giant Leap. 4285-4291 - Miao Zhang, Huiqi Li, Steven W. Su:
High Dimensional Bayesian Optimization via Supervised Dimension Reduction. 4292-4298 - Rui Zhang, Christian J. Walder, Marian-Andrei Rizoiu, Lexing Xie:
Efficient Non-parametric Bayesian Hawkes Processes. 4299-4305 - Shijie Zhang, Hongzhi Yin, Qinyong Wang, Tong Chen, Hongxu Chen, Quoc Viet Hung Nguyen:
Inferring Substitutable Products with Deep Network Embedding. 4306-4312 - Shuai Zhang, Lina Yao, Lucas Vinh Tran, Aston Zhang, Yi Tay:
Quaternion Collaborative Filtering for Recommendation. 4313-4319 - Tingting Zhang, Pengpeng Zhao, Yanchi Liu, Victor S. Sheng, Jiajie Xu, Deqing Wang, Guanfeng Liu, Xiaofang Zhou:
Feature-level Deeper Self-Attention Network for Sequential Recommendation. 4320-4326 - Xiaotong Zhang, Han Liu, Qimai Li, Xiao-Ming Wu:
Attributed Graph Clustering via Adaptive Graph Convolution. 4327-4333 - Xiaowang Zhang, Qiang Gao, Zhiyong Feng:
InteractionNN: A Neural Network for Learning Hidden Features in Sparse Prediction. 4334-4340 - Yawen Zhang, Qin Lv, Duanfeng Gao, Si Shen, Robert P. Dick, Michael Hannigan, Qi Liu:
Multi-Group Encoder-Decoder Networks to Fuse Heterogeneous Data for Next-Day Air Quality Prediction. 4341-4347 - Yikai Zhang, Hui Qu, Chao Chen, Dimitris N. Metaxas:
Taming the Noisy Gradient: Train Deep Neural Networks with Small Batch Sizes. 4348-4354 - Yipeng Zhang, Bo Du, Lefei Zhang, Rongchun Li, Yong Dou:
Accelerated Inference Framework of Sparse Neural Network Based on Nested Bitmask Structure. 4355-4361 - Yizhou Zhang, Guojie Song, Lun Du, Shuwen Yang, Yilun Jin:
DANE: Domain Adaptive Network Embedding. 4362-4368 - Yuan Zhang, Xi Yang, Julie S. Ivy, Min Chi:
ATTAIN: Attention-based Time-Aware LSTM Networks for Disease Progression Modeling. 4369-4375 - Zhao Zhang, Weiming Jiang, Zheng Zhang, Sheng Li, Guangcan Liu, Jie Qin:
Scalable Block-Diagonal Locality-Constrained Projective Dictionary Learning. 4376-4382 - Zhu Zhang, Zhou Zhao, Zhijie Lin, Jingkuan Song, Xiaofei He:
Open-Ended Long-Form Video Question Answering via Hierarchical Convolutional Self-Attention Networks. 4383-4389 - Zhu Zhang, Zhou Zhao, Zhijie Lin, Jingkuan Song, Deng Cai:
Localizing Unseen Activities in Video via Image Query. 4390-4396 - Jian Zhao, Jianshu Li, Xiaoguang Tu, Fang Zhao, Yuan Xin, Junliang Xing, Hengzhu Liu, Shuicheng Yan, Jiashi Feng:
Multi-Prototype Networks for Unconstrained Set-based Face Recognition. 4397-4403 - Wentian Zhao, Shaojie Wang, Zhihuai Xie, Jing Shi, Chenliang Xu:
GAN-EM: GAN Based EM Learning Framework. 4404-4411 - Yifeng Zhao, Xiangwei Wang, Hongxia Yang, Le Song, Jie Tang:
Large Scale Evolving Graphs with Burst Detection. 4412-4418 - Li Zheng, Zhenpeng Li, Jian Li, Zhao Li, Jun Gao:
AddGraph: Anomaly Detection in Dynamic Graph Using Attention-based Temporal GCN. 4419-4425 - Zimu Zheng, Yuqi Wang, Quanyu Dai, Huadi Zheng, Dan Wang:
Metadata-driven Task Relation Discovery for Multi-task Learning. 4426-4432 - Bin Zhou, Shenghua Liu, Bryan Hooi, Xueqi Cheng, Jing Ye:
BeatGAN: Anomalous Rhythm Detection using Adversarially Generated Time Series. 4433-4439 - Lei Zhou, Xiao Bai, Dong Wang, Xianglong Liu, Jun Zhou, Edwin R. Hancock:
Latent Distribution Preserving Deep Subspace Clustering. 4440-4446 - Wen-Ji Zhou, Yang Yu, Yingfeng Chen, Kai Guan, Tangjie Lv, Changjie Fan, Zhi-Hua Zhou:
Reinforcement Learning Experience Reuse with Policy Residual Representation. 4447-4453 - Xiao Zhou, Danyang Liu, Jianxun Lian, Xing Xie:
Collaborative Metric Learning with Memory Network for Multi-Relational Recommender Systems. 4454-4460 - Kai Zhu, Wei Zhai, Zheng-Jun Zha, Yang Cao:
One-Shot Texture Retrieval with Global Context Metric. 4461-4467 - Lin Zhu, Jiaxing Lu, Yihong Chen:
HDI-Forest: Highest Density Interval Regression Forest. 4468-4474 - Xiaofeng Zhu:
Prediction of Mild Cognitive Impairment Conversion Using Auxiliary Information. 4475-4481 - Wenzhang Zhuge, Chenping Hou, Xinwang Liu, Hong Tao, Dongyun Yi:
Simultaneous Representation Learning and Clustering for Incomplete Multi-view Data. 4482-4488 - Bartosz Zielinski, Michal Lipinski, Mateusz Juda, Matthias Zeppelzauer, Pawel Dlotko:
Persistence Bag-of-Words for Topological Data Analysis. 4489-4495 - Matthieu Zimmer, Paul Weng:
Exploiting the Sign of the Advantage Function to Learn Deterministic Policies in Continuous Domains. 4496-4502
Machine Learning Applications
- Chongyang Bai, Srijan Kumar, Jure Leskovec, Miriam J. Metzger, Jay F. Nunamaker Jr., V. S. Subrahmanian:
Predicting the Visual Focus of Attention in Multi-Person Discussion Videos. 4504-4510 - Zhihuai Chen, Yinan Li, Xiaoming Sun, Pei Yuan, Jialin Zhang:
A Quantum-inspired Classical Algorithm for Separable Non-negative Matrix Factorization. 4511-4517 - Xu Chu, Yang Lin, Yasha Wang, Leye Wang, Jiangtao Wang, Jingyue Gao:
MLRDA: A Multi-Task Semi-Supervised Learning Framework for Drug-Drug Interaction Prediction. 4518-4524 - Joachim Giesen, Sören Laue:
Combining ADMM and the Augmented Lagrangian Method for Efficiently Handling Many Constraints. 4525-4531 - Fenyu Hu, Yanqiao Zhu, Shu Wu, Liang Wang, Tieniu Tan:
Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification. 4532-4539 - Tianyu Liu, Zijie Zheng, Hongchang Li, Kaigui Bian, Lingyang Song:
Playing Card-Based RTS Games with Deep Reinforcement Learning. 4540-4546 - Zhongzhou Liu, Wenbin Hu:
FSM: A Fast Similarity Measurement for Gene Regulatory Networks via Genes' Influence Power. 4547-4553 - Jiaqi Ma, Yipeng Zhang, Lefei Zhang, Bo Du, Dapeng Tao:
Pseudo Supervised Matrix Factorization in Discriminative Subspace. 4554-4560 - Wentao Ouyang, Xiuwu Zhang, Shukui Ren, Chao Qi, Zhaojie Liu, Yanlong Du:
Representation Learning-Assisted Click-Through Rate Prediction. 4561-4567 - Wei Qiu, Haipeng Chen, Bo An:
Dynamic Electronic Toll Collection via Multi-Agent Deep Reinforcement Learning with Edge-Based Graph Convolutional Networks. 4568-4574 - David Radke, Anna Hessler, Dan Ellsworth:
FireCast: Leveraging Deep Learning to Predict Wildfire Spread. 4575-4581 - Shuheng Shen, Linli Xu, Jingchang Liu, Xianfeng Liang, Yifei Cheng:
Faster Distributed Deep Net Training: Computation and Communication Decoupled Stochastic Gradient Descent. 4582-4589