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28th 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
Portioning Using Ordinal Preferences: Fairness and Efficiency. 11-17 - Gianvincenzo Alfano
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
Probabilistic Strategy Logic. 32-38 - Anton Andreychuk, Konstantin S. Yakovlev, Dor Atzmon, Roni Stern:
Multi-Agent Pathfinding with Continuous Time. 39-45 - Haris Aziz
Weighted Maxmin Fair Share Allocation of Indivisible Chores. 46-52 - Haris Aziz
Fair Allocation of Indivisible Goods and Chores. 53-59 - Haris Aziz
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
The Price of Fairness for Indivisible Goods. 81-87 - Francesco Belardinelli
Strategy Logic with Simple Goals: Tractable Reasoning about Strategies. 88-94 - Nawal Benabbou, Mithun Chakraborty
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
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
On the Problem of Assigning PhD Grants. 130-136 - Hau Chan, Jing Chen, Bo Li
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
Approximately Maximizing the Broker's Profit in a Two-sided Market. 151-157 - Lin Chen
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
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
A Value-based Trust Assessment Model for Multi-agent Systems. 194-200 - Federico Corò
Exploiting Social Influence to Control Elections Based on Scoring Rules. 201-207 - Sankarshan Damle
Civic Crowdfunding for Agents with Negative Valuations and Agents with Asymmetric Beliefs. 208-214 - Panayiotis Danassis, Aris Filos-Ratsikas
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
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
Reallocating Multiple Facilities on the Line. 273-279 - Rupert Freeman, Sujoy Sikdar
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
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
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
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
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
A Quantitative Analysis of Multi-Winner Rules. 407-413 - Foram Lakhani, Dominik Peters
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
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
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
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
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
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
On Strategyproof Conference Peer Review. 616-622 - Tianpei Yang, Jianye Hao, Zhaopeng Meng, Chongjie Zhang, Yan Zheng
Towards Efficient Detection and Optimal Response against Sophisticated Opponents. 623-629 - Yaodong Yang
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
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
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
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
Dense Temporal Convolution Network for Sign Language Translation. 744-750 - Dan Guo
Connectionist Temporal Modeling of Video and Language: a Joint Model for Translation and Sign Labeling. 751-757 - Zhizhong Han, Xiyang Wang, Chi-Man Vong
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
MAT-Net: Medial Axis Transform Network for 3D Object Recognition. 774-781 - Yuan Hu, Yunpeng Chen
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
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
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
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
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
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
Deep Recurrent Quantization for Generating Sequential Binary Codes. 912-918 - Yang Song, Jingwen Zhu, Dawei Li
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
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
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
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
Binarized Neural Networks for Resource-Efficient Hashing with Minimizing Quantization Loss. 1032-1040 - Qinqin Zhou, Bineng Zhong, Xiangyuan Lan, Gan Sun, Yulun Zhang
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
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
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
Privacy-Preserving Obfuscation of Critical Infrastructure Networks. 1086-1092 - Pei Huang, Minghao Liu
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
Model-Based Diagnosis with Multiple Observations. 1108-1115 - Tuukka Korhonen
Enumerating Potential Maximal Cliques via SAT and ASP. 1116-1122 - Mikhail Krechetov, Jakub Marecek
Entropy-Penalized Semidefinite Programming. 1123-1129 - Mohit Kumar, Stefano Teso
Acquiring Integer Programs from Data. 1130-1136 - Anna Louise D. Latour, Behrouz Babaki
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
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
Resolution and Domination: An Improved Exact MaxSAT Algorithm. 1191-1197
Heuristic Search and Game Playing
- Massimo Bono, Alfonso Emilio Gerevini
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
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
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
Multi-agent Attentional Activity Recognition. 1344-1350 - Wenqi Fan
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
Discrete Trust-aware Matrix Factorization for Fast Recommendation. 1380-1386 - Zhicheng Jiao
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
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
Personalized Multimedia Item and Key Frame Recommendation. 1431-1437 - Yongkai 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
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
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
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
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
Stratified Evidence Logics. 1523-1529 - Bartosz Bednarczyk
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
Comparing Options with Argument Schemes Powered by Cancellation. 1537-1543 - Nahla Ben Amor
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
Mixed-World Reasoning with Existential Rules under Active-Domain Semantics. 1558-1565 - Blai Bonet, Raquel Fuentetaja
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
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
Simple Conditionals with Constrained Right Weakening. 1632-1638 - Ismail Ilkan Ceylan, Thomas Lukasiewicz, Enrico Malizia
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
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
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
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
On Division Versus Saturation in Pseudo-Boolean Solving. 1711-1718 - Tomasz Gogacz, Víctor Gutiérrez-Basulto, Yazmín Ibáñez-García, Jean Christoph Jung
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
Some Things are Easier for the Dumb and the Bright Ones (Beware the Average!). 1734-1740 - Dominik Klein
Converging on Common Knowledge. 1741-1748 - Sébastien Konieczny
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
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
Satisfaction and Implication of Integrity Constraints in Ontology-based Data Access. 1829-1835 - Aomar Osmani
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
Belief Update without Compactness in Non-finitary Languages. 1858-1864 - Nicolas Schwind, Katsumi Inoue
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
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
A Modal Characterization Theorem for a Probabilistic Fuzzy Description Logic. 1900-1906 - Zonghan Wu, Shirui Pan
Graph WaveNet for Deep Spatial-Temporal Graph Modeling. 1907-1913 - Jinfu Xia, Yan Zhao, Guanfeng Liu
Profit-driven Task Assignment in Spatial Crowdsourcing. 1914-1920 - Zhipeng Xie
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
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
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
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
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
FakeTables: Using GANs to Generate Functional Dependency Preserving Tables with Bounded Real Data. 2074-2080 - Hao Chen, Zhanfeng Mo
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
Matching User with Item Set: Collaborative Bundle Recommendation with Deep Attention Network. 2095-2101 - Shangyu Chen, Wenya Wang
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
Semi-supervised User Profiling with Heterogeneous Graph Attention Networks. 2116-2122 - Xia Chen, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Zhao Li
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
Co-Attentive Multi-Task Learning for Explainable Recommendation. 2137-2143 - Zitai Chen
Variational Graph Embedding and Clustering with Laplacian Eigenmaps. 2144-2150 - Anfeng Cheng, Chuan Zhou, Hong Yang, Jia Wu
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
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
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
Learn Smart with Less: Building Better Online Decision Trees with Fewer Training Examples. 2209-2215 - Kangle Deng
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
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
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
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
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
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
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
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
Deliberation Learning for Image-to-Image Translation. 2484-2490 - Yi He
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
Deep Metric Learning: The Generalization Analysis and an Adaptive Algorithm. 2535-2541 - Mengdi Huai, Di Wang, Chenglin Miao
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
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
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
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
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
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
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
Obstacle Tower: A Generalization Challenge in Vision, Control, and Planning. 2684-2691 - Parameswaran Kamalaruban
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
What to Expect of Classifiers? Reasoning about Logistic Regression with Missing Features. 2716-2724 - Tung Kieu
Outlier Detection for Time Series with Recurrent Autoencoder Ensembles. 2725-2732 - Seungchan Kim
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
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
The Dangers of Post-hoc Interpretability: Unjustified Counterfactual Explanations. 2801-2807 - Duc-Trong Le, Hady W. Lauw
Correlation-Sensitive Next-Basket Recommendation. 2808-2814 - Dung D. Le
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
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
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
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
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
GCN-LASE: Towards Adequately Incorporating Link Attributes in Graph Convolutional Networks. 2959-2965 - Xiaoyuan Liang, Martin Renqiang Min
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
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
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
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
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
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
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
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
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
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
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
Meta-Learning for Low-resource Natural Language Generation in Task-oriented Dialogue Systems. 3151-3157 - Di Ming
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
Group LASSO with Asymmetric Structure Estimation for Multi-Task Learning. 3202-3208 - Yangchen Pan
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
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
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
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
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
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
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
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
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
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
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
Structure Learning for Safe Policy Improvement. 3453-3459 - Pravendra Singh
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
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
Fast and Robust Multi-View Multi-Task Learning via Group Sparsity. 3499-3505 - Lu Sun, Canh Hao Nguyen
Multiplicative Sparse Feature Decomposition for Efficient Multi-View Multi-Task Learning. 3506-3512 - Mingfei Sun
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
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
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
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
Boundary Perception Guidance: A Scribble-Supervised Semantic Segmentation Approach. 3663-3669 - Chun Wang, Shirui Pan
Attributed Graph Clustering: A Deep Attentional Embedding Approach. 3670-3676 - Hao Wang, Linlin Zong
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
Discriminative and Correlative Partial Multi-Label Learning. 3691-3697 - Huizhao Wang, Guanfeng Liu
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
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
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
Heterogeneous Graph Matching Networks for Unknown Malware Detection. 3762-3770 - Shoujin Wang
Modeling Multi-Purpose Sessions for Next-Item Recommendations via Mixture-Channel Purpose Routing Networks. 3771-3777 - Siwei Wang
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
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
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
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
Bayesian Uncertainty Matching for Unsupervised Domain Adaptation. 3849-3855 - Qingsong Wen
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
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
Trend-Aware Tensor Factorization for Job Skill Demand Analysis. 3891-3897 - Yongji Wu, Defu Lian
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
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
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
Commit Message Generation for Source Code Changes. 3975-3981 - Suping Xu
Latent Semantics Encoding for Label Distribution Learning. 3982-3988 - Xiaofeng Xu
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
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
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
Deep Multi-Task Learning with Adversarial-and-Cooperative Nets. 4078-4084 - Wenmian Yang
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
SPAGAN: Shortest Path Graph Attention Network. 4099-4105 - Liuyi Yao, Sheng Li
On the Estimation of Treatment Effect with Text Covariates. 4106-4113 - Quanming Yao
Privacy-Preserving Stacking with Application to Cross-organizational Diabetes Prediction. 4114-4120 - Shixin Yao
Multi-View Multiple Clustering. 4121-4127 - Jingwen Ye, Xinchao Wang
Amalgamating Filtered Knowledge: Learning Task-customized Student from Multi-task Teachers. 4128-4134 - Rui Ye, Xin Li, Yujie Fang
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
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
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
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
Positive and Unlabeled Learning with Label Disambiguation. 4250-4256 - Hu Zhang, Pan Zhou
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
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
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
Efficient Non-parametric Bayesian Hawkes Processes. 4299-4305 - Shijie Zhang, Hongzhi Yin
Inferring Substitutable Products with Deep Network Embedding. 4306-4312 - Shuai Zhang
Quaternion Collaborative Filtering for Recommendation. 4313-4319 - Tingting Zhang, Pengpeng Zhao, Yanchi Liu, Victor S. Sheng, Jiajie Xu, Deqing Wang, Guanfeng Liu
Feature-level Deeper Self-Attention Network for Sequential Recommendation. 4320-4326 - Xiaotong Zhang, Han Liu, Qimai Li
Attributed Graph Clustering via Adaptive Graph Convolution. 4327-4333 - Xiaowang Zhang
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
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
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
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
AddGraph: Anomaly Detection in Dynamic Graph Using Attention-based Temporal GCN. 4419-4425 - Zimu Zheng, Yuqi 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
Latent Distribution Preserving Deep Subspace Clustering. 4440-4446 - Wen-Ji 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
Persistence Bag-of-Words for Topological Data Analysis. 4489-4495 - Matthieu Zimmer
Exploiting the Sign of the Advantage Function to Learn Deterministic Policies in Continuous Domains. 4496-4502
Machine Learning Applications
- Chongyang Bai, Srijan Kumar
Predicting the Visual Focus of Attention in Multi-Person Discussion Videos. 4504-4510 - Zhihuai Chen, Yinan Li, Xiaoming Sun
A Quantum-inspired Classical Algorithm for Separable Non-negative Matrix Factorization. 4511-4517 - Xu Chu, Yang Lin, Yasha Wang
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
Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification. 4532-4539 - Tianyu Liu
Playing Card-Based RTS Games with Deep Reinforcement Learning. 4540-4546 - Zhongzhou Liu
FSM: A Fast Similarity Measurement for Gene Regulatory Networks via Genes' Influence Power. 4547-4553 - Jiaqi Ma
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
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 - Myungjae Shin, Joongheon Kim:
Randomized Adversarial Imitation Learning for Autonomous Driving. 4590-4596 - Hiroaki Shiokawa, Toshiyuki Amagasa
Scaling Fine-grained Modularity Clustering for Massive Graphs. 4597-4604 - Uriel Singer, Ido Guy, Kira Radinsky:
Node Embedding over Temporal Graphs. 4605-4612 - Lihong Song, Chin Wang Cheong, Kejing Yin
Medical Concept Embedding with Multiple Ontological Representations. 4613-4619 - Yanan Xu, Yanmin Zhu, Yanyan Shen, Jiadi Yu:
Learning Shared Vertex Representation in Heterogeneous Graphs with Convolutional Networks for Recommendation. 4620-4626 - Aiping Yang
Dual-Path in Dual-Path Network for Single Image Dehazing. 4627-4634 - Shengze Yu, Xin Wang, Wenwu Zhu, Peng Cui, Jingdong Wang
Disparity-preserved Deep Cross-platform Association for Cross-platform Video Recommendation. 4635-4641
Multidisciplinary Topics and Applications
- Chongyang Bai, Maksim Bolonkin, Srijan Kumar
Predicting dominance in multi-person videos. 4643-4650 - Dâmaris S. Bento, André Grahl Pereira, Levi H. S. Lelis:
Procedural Generation of Initial States of Sokoban. 4651-4657 - Huili Chen, Cheng Fu, Jishen Zhao, Farinaz Koushanfar
DeepInspect: A Black-box Trojan Detection and Mitigation Framework for Deep Neural Networks. 4658-4664 - Xu Duan, Jingzheng Wu, Shouling Ji, Zhiqing Rui, Tianyue Luo, Mutian Yang, Yanjun Wu:
VulSniper: Focus Your Attention to Shoot Fine-Grained Vulnerabilities. 4665-4671 - Yuan Gong
Real-Time Adversarial Attacks. 4672-4680 - Min Hou, Le Wu, Enhong Chen, Zhi Li, Vincent W. Zheng, Qi Liu:
Explainable Fashion Recommendation: A Semantic Attribute Region Guided Approach. 4681-4688 - Bo Huang
Model-Agnostic Adversarial Detection by Random Perturbations. 4689-4696 - Yun-Ning Hung, I-Tung Chiang, Yi-An Chen, Yi-Hsuan Yang:
Musical Composition Style Transfer via Disentangled Timbre Representations. 4697-4703 - Li-Cheng Lan, Wei Li, Ting-Han Wei, I-Chen Wu
Multiple Policy Value Monte Carlo Tree Search. 4704-4710 - Linyi Li, Zexuan Zhong, Bo Li, Tao Xie:
Robustra: Training Provable Robust Neural Networks over Reference Adversarial Space. 4711-4717 - Jen-Yu Liu, Yi-Hsuan Yang:
Dilated Convolution with Dilated GRU for Music Source Separation. 4718-4724 - Tianlong Liu, Yu Qi, Liang Shi, Jianan Yan:
Locate-Then-Detect: Real-time Web Attack Detection via Attention-based Deep Neural Networks. 4725-4731 - Yuzhe Ma, Xiaojin Zhu, Justin Hsu
Data Poisoning against Differentially-Private Learners: Attacks and Defenses. 4732-4738 - Weibin Meng
LogAnomaly: Unsupervised Detection of Sequential and Quantitative Anomalies in Unstructured Logs. 4739-4745 - Jakub Michaliszyn
Decidability of Model Checking Multi-Agent Systems with Regular Expressions against Epistemic HS Specifications. 4746-4752 - NhatHai Phan, Minh N. Vu, Yang Liu, Ruoming Jin, Dejing Dou, Xintao Wu
Heterogeneous Gaussian Mechanism: Preserving Differential Privacy in Deep Learning with Provable Robustness. 4753-4759 - Sofia Reis
Demystifying the Combination of Dynamic Slicing and Spectrum-based Fault Localization. 4760-4766 - Yufeng Shi, Xinge You, Feng Zheng, Shuo Wang, Qinmu Peng:
Equally-Guided Discriminative Hashing for Cross-modal Retrieval. 4767-4773 - Tamir Tassa, Tal Grinshpoun
A Privacy Preserving Collusion Secure DCOP Algorithm. 4774-4780 - Deli Wang, Ting Zhao, Nenggan Zheng, Zhefeng Gong:
Two-Stage Generative Models of Simulating Training Data at The Voxel Level for Large-Scale Microscopy Bioimage Segmentation. 4781-4787 - Di Wang, Jinhui Xu:
Lower Bound of Locally Differentially Private Sparse Covariance Matrix Estimation. 4788-4794 - Di Wang, Jinhui Xu:
Principal Component Analysis in the Local Differential Privacy Model. 4795-4801 - Haoyu Wang, Defu Lian, Yong Ge:
Binarized Collaborative Filtering with Distilling Graph Convolutional Network. 4802-4808 - Jun Wang, Qiang Tang
Novel Collaborative Filtering Recommender Friendly to Privacy Protection. 4809-4815 - Huijun Wu, Chen Wang, Yuriy Tyshetskiy, Andrew Docherty, Kai Lu, Liming Zhu
Adversarial Examples for Graph Data: Deep Insights into Attack and Defense. 4816-4823 - Qi Xia, Zeyi Tao, Zijiang Hao, Qun Li
FABA: An Algorithm for Fast Aggregation against Byzantine Attacks in Distributed Neural Networks. 4824-4830 - Peichen Xie, Bingzhe Wu
BAYHENN: Combining Bayesian Deep Learning and Homomorphic Encryption for Secure DNN Inference. 4831-4837 - Chengcheng Yang, Lisi Chen, Shuo Shang, Fan Zhu, Li Liu, Ling Shao:
Toward Efficient Navigation of Massive-Scale Geo-Textual Streams. 4838-4845 - Zhesong Yu, Xiaoshuo Xu, Xiaoou Chen, Deshun Yang:
Temporal Pyramid Pooling Convolutional Neural Network for Cover Song Identification. 4846-4852 - Hengtong Zhang, Tianhang Zheng, Jing Gao, Chenglin Miao
Data Poisoning Attack against Knowledge Graph Embedding. 4853-4859 - Fangyuan Zhao, Xuebin Ren, Shusen Yang, Xinyu Yang:
On Privacy Protection of Latent Dirichlet Allocation Model Training. 4860-4866 - Zhongxin Zhou, Fan Zhang, Xuemin Lin, Wenjie Zhang
K-Core Maximization: An Edge Addition Approach. 4867-4873 - Weijie Zhu, Mengqi Zhang, Chen Chen
Pivotal Relationship Identification: The K-Truss Minimization Problem. 4874-4880
Natural Language Processing
- Satoshi Akasaki, Naoki Yoshinaga, Masashi Toyoda:
Early Discovery of Emerging Entities in Microblogs. 4882-4889 - Ghulam Ahmed Ansari, Amrita Saha, Vishwajeet Kumar
Neural Program Induction for KBQA Without Gold Programs or Query Annotations. 4890-4896 - Tian Bai, Brian L. Egleston
Medical Concept Representation Learning from Multi-source Data. 4897-4903 - Yitao Cai, Xiaojun Wan:
Multi-Domain Sentiment Classification Based on Domain-Aware Embedding and Attention. 4904-4910 - José Camacho-Collados, Luis Espinosa Anke, Shoaib Jameel, Steven Schockaert:
A Latent Variable Model for Learning Distributional Relation Vectors. 4911-4917 - Chaotao Chen, Jinhua Peng, Fan Wang, Jun Xu, Hua Wu:
Generating Multiple Diverse Responses with Multi-Mapping and Posterior Mapping Selection. 4918-4924 - Huimin Chen, Xiaoyuan Yi, Maosong Sun, Wenhao Li, Cheng Yang
Sentiment-Controllable Chinese Poetry Generation. 4925-4931 - Shizhe Chen, Qin Jin, Jianlong Fu:
From Words to Sentences: A Progressive Learning Approach for Zero-resource Machine Translation with Visual Pivots. 4932-4938 - Xiuying Chen, Zhangming Chan, Shen Gao, Meng-Hsuan Yu, Dongyan Zhao, Rui Yan:
Learning towards Abstractive Timeline Summarization. 4939-4945 - Zeyu Dai, Hongliang Fei, Ping Li:
Coreference Aware Representation Learning for Neural Named Entity Recognition. 4946-4953 - Yue Deng, Yilin Shen, Hongxia Jin:
Learning Assistance from an Adversarial Critic for Multi-Outputs Prediction. 4954-4960 - Cheng Fu, Xianpei Han, Le Sun, Bo Chen, Wei Zhang, Suhui Wu, Hao Kong:
End-to-End Multi-Perspective Matching for Entity Resolution. 4961-4967 - Yifan Gao, Lidong Bing, Wang Chen, Michael R. Lyu, Irwin King
Difficulty Controllable Generation of Reading Comprehension Questions. 4968-4974 - DongLai Ge, Junhui Li, Muhua Zhu, Shoushan Li:
Modeling Source Syntax and Semantics for Neural AMR Parsing. 4975-4981 - Tao Gui, Ruotian Ma, Qi Zhang, Lujun Zhao, Yu-Gang Jiang, Xuanjing Huang:
CNN-Based Chinese NER with Lexicon Rethinking. 4982-4988 - Dan Guo
Dual Visual Attention Network for Visual Dialog. 4989-4995 - Mansi Gupta, Nitish Kulkarni, Raghuveer Chanda, Anirudha Rayasam
AmazonQA: A Review-Based Question Answering Task. 4996-5002 - Oktie Hassanzadeh
Answering Binary Causal Questions Through Large-Scale Text Mining: An Evaluation Using Cause-Effect Pairs from Human Experts. 5003-5009 - Wenpeng Hu, Zhangming Chan, Bing Liu, Dongyan Zhao, Jinwen Ma, Rui Yan:
GSN: A Graph-Structured Network for Multi-Party Dialogues. 5010-5016 - Ting Huang, Gehui Shen
Leap-LSTM: Enhancing Long Short-Term Memory for Text Categorization. 5017-5023 - Haiyun Jiang, Li Cui, Zhe Xu, Deqing Yang, Jindong Chen, Chenguang Li, Jingping Liu, Jiaqing Liang, Chao Wang, Yanghua Xiao, Wei Wang:
Relation Extraction Using Supervision from Topic Knowledge of Relation Labels. 5024-5030 - Geewook Kim, Akifumi Okuno, Kazuki Fukui, Hidetoshi Shimodaira
Representation Learning with Weighted Inner Product for Universal Approximation of General Similarities. 5031-5038 - Fang Kong, Jian Fu:
Incorporating Structural Information for Better Coreference Resolution. 5039-5045 - Yunshi Lan, Shuohang Wang, Jing Jiang:
Knowledge Base Question Answering with Topic Units. 5046-5052 - Jing Li, Deheng Ye, Shuo Shang:
Adversarial Transfer for Named Entity Boundary Detection with Pointer Networks. 5053-5059 - Runnan Li, Zhiyong Wu, Jia Jia, Yaohua Bu, Sheng Zhao, Helen Meng:
Towards Discriminative Representation Learning for Speech Emotion Recognition. 5060-5066 - Ying Li, Zhenghua Li, Min Zhang, Rui Wang, Sheng Li, Luo Si:
Self-attentive Biaffine Dependency Parsing. 5067-5073 - Zhe Li, Peisong Wang, Hanqing Lu, Jian Cheng:
Reading selectively via Binary Input Gated Recurrent Unit. 5074-5080 - Rongzhong Lian, Min Xie, Fan Wang, Jinhua Peng, Hua Wu:
Learning to Select Knowledge for Response Generation in Dialog Systems. 5081-5087 - Peiqin Lin
Deep Mask Memory Network with Semantic Dependency and Context Moment for Aspect Level Sentiment Classification. 5088-5094 - Fenglin Liu, Xuancheng Ren, Yuanxin Liu, Kai Lei, Xu Sun:
Exploring and Distilling Cross-Modal Information for Image Captioning. 5095-5101 - Jie Liu, Na Li, Zhicheng He:
Network Embedding with Dual Generation Tasks. 5102-5108 - Qianlong Liu, Baoliang Cui, Zhongyu Wei, Baolin Peng, Haikuan Huang, Hongbo Deng, Jianye Hao, Xuanjing Huang, Kam-Fai Wong
Building Personalized Simulator for Interactive Search. 5109-5115 - Fuli Luo, Peng Li, Jie Zhou, Pengcheng Yang, Baobao Chang, Xu Sun, Zhifang Sui:
A Dual Reinforcement Learning Framework for Unsupervised Text Style Transfer. 5116-5122 - Ling Luo, Xiang Ao, Yan Song, Jinyao Li, Xiaopeng Yang, Qing He, Dong Yu:
Unsupervised Neural Aspect Extraction with Sememes. 5123-5129 - Chao Ma, F. A. Rezaur Rahman Chowdhury, Aryan Deshwal, Md. Rakibul Islam, Janardhan Rao Doppa, Dan Roth:
Randomized Greedy Search for Structured Prediction: Amortized Inference and Learning. 5130-5138 - Qianren Mao, Jianxin Li, Senzhang Wang, Yuanning Zhang, Hao Peng
Aspect-Based Sentiment Classification with Attentive Neural Turing Machines. 5139-5145 - Minlong Peng, Qi Zhang, Xiaoyu Xing, Tao Gui, Jinlan Fu, Xuanjing Huang:
Learning Task-Specific Representation for Novel Words in Sequence Labeling. 5146-5152 - Amir Pouran Ben Veyseh, Thien Huu Nguyen, Dejing Dou:
Improving Cross-Domain Performance for Relation Extraction via Dependency Prediction and Information Flow Control. 5153-5159 - Xiangying Ran, Yuanyuan Pan, Wei Sun, Chongjun Wang:
Learn to Select via Hierarchical Gate Mechanism for Aspect-Based Sentiment Analysis. 5160-5167 - Swarnadeep Saha, Malolan Chetlur, Tejas Indulal Dhamecha, K. Gayathri Wijayarathna, Red Mendoza
Aligning Learning Outcomes to Learning Resources: A Lexico-Semantic Spatial Approach. 5168-5174 - Bidisha Samanta, Sharmila Reddy, Hussain Jagirdar, Niloy Ganguly
A Deep Generative Model for Code Switched Text. 5175-5181 - Botian Shi, Lei Ji, Pan Lu, Zhendong Niu, Nan Duan
Knowledge Aware Semantic Concept Expansion for Image-Text Matching. 5182-5189 - Haoyu Song
Exploiting Persona Information for Diverse Generation of Conversational Responses. 5190-5196 - Kaisong Song, Wei Gao, Lujun Zhao, Jun Lin, Changlong Sun, Xiaozhong Liu:
Cold-Start Aware Deep Memory Network for Multi-Entity Aspect-Based Sentiment Analysis. 5197-5203 - Gray Stanton
GANs for Semi-Supervised Opinion Spam Detection. 5204-5210 - Christoph Kilian Theil
PRoFET: Predicting the Risk of Firms from Event Transcripts. 5211-5217 - Neil Veira, Brian Keng, Kanchana Padmanabhan, Andreas G. Veneris:
Unsupervised Embedding Enhancements of Knowledge Graphs using Textual Associations. 5218-5225 - Hanzhang Wang, Hanli Wang, Kaisheng Xu:
Swell-and-Shrink: Decomposing Image Captioning by Transformation and Summarization. 5226-5232 - Tianming Wang, Xiaojun Wan:
T-CVAE: Transformer-Based Conditioned Variational Autoencoder for Story Completion. 5233-5239 - Zihan Wang
Robust Embedding with Multi-Level Structures for Link Prediction. 5240-5246 - Yang Wei
Revealing Semantic Structures of Texts: Multi-grained Framework for Automatic Mind-map Generation. 5247-5254 - Rongxiang Weng, Hao Zhou, Shujian Huang, Lei Li, Yifan Xia, Jiajun Chen:
Correct-and-Memorize: Learning to Translate from Interactive Revisions. 5255-5263 - Junshuang Wu, Richong Zhang, Yongyi Mao, Hongyu Guo, Jinpeng Huai:
Modeling Noisy Hierarchical Types in Fine-Grained Entity Typing: A Content-Based Weighting Approach. 5264-5270 - Xing Wu, Tao Zhang, Liangjun Zang, Jizhong Han, Songlin Hu
Mask and Infill: Applying Masked Language Model for Sentiment Transfer. 5271-5277 - Yuting Wu, Xiao Liu, Yansong Feng, Zheng Wang
Relation-Aware Entity Alignment for Heterogeneous Knowledge Graphs. 5278-5284 - Rui Xia, Mengran Zhang, Zixiang Ding:
RTHN: A RNN-Transformer Hierarchical Network for Emotion Cause Extraction. 5285-5291 - Tong Xiao, Yinqiao Li, Jingbo Zhu, Zhengtao Yu, Tongran Liu:
Sharing Attention Weights for Fast Transformer. 5292-5298 - Zhipeng Xie
A Goal-Driven Tree-Structured Neural Model for Math Word Problems. 5299-5305 - Zhongbin Xie, Shuai Ma:
Dual-View Variational Autoencoders for Semi-Supervised Text Matching. 5306-5312 - Bowen Xing
Earlier Attention? Aspect-Aware LSTM for Aspect-Based Sentiment Analysis. 5313-5319 - Chang Xu, Tao Qin
Polygon-Net: A General Framework for Jointly Boosting Multiple Unsupervised Neural Machine Translation Models. 5320-5326 - Mengge Xue, Weiming Cai, Jinsong Su, Linfeng Song, Yubin Ge, Yubao Liu, Bin Wang:
Neural Collective Entity Linking Based on Recurrent Random Walk Network Learning. 5327-5333 - Hiromu Yakura, Jun Sakuma:
Robust Audio Adversarial Example for a Physical Attack. 5334-5341 - Shiyang Yan, Jun Xu, Yuai Liu, Lin Xu:
HorNet: A Hierarchical Offshoot Recurrent Network for Improving Person Re-ID via Image Captioning. 5342-5348 - Min Yang, Lei Chen, Xiaojun Chen, Qingyao Wu, Wei Zhou, Ying Shen:
Knowledge-enhanced Hierarchical Attention for Community Question Answering with Multi-task and Adaptive Learning. 5349-5355 - Pengcheng Yang, Fuli Luo, Peng Chen, Lei Li, Zhiyi Yin, Xiaodong He, Xu Sun:
Knowledgeable Storyteller: A Commonsense-Driven Generative Model for Visual Storytelling. 5356-5362 - Yao Yang, Haoran Chen, Junming Shao:
Triplet Enhanced AutoEncoder: Model-free Discriminative Network Embedding. 5363-5369 - Yinfei Yang, Gustavo Hernández Ábrego, Steve Yuan, Mandy Guo, Qinlan Shen, Daniel Cer, Yun-Hsuan Sung, Brian Strope, Ray Kurzweil:
Improving Multilingual Sentence Embedding using Bi-directional Dual Encoder with Additive Margin Softmax. 5370-5378 - Di Yin, Shujian Huang, Xin-Yu Dai, Jiajun Chen:
Utilizing Non-Parallel Text for Style Transfer by Making Partial Comparisons. 5379-5386 - Yongjing Yin, Linfeng Song, Jinsong Su, Jiali Zeng, Chulun Zhou
Graph-based Neural Sentence Ordering. 5387-5393 - Yonghe Chu, Hongfei Lin, Liang Yang, Yufeng Diao, Shaowu Zhang, Xiaochao Fan:
Refining Word Representations by Manifold Learning. 5394-5400 - Bowen Yu, Zhenyu Zhang
Beyond Word Attention: Using Segment Attention in Neural Relation Extraction. 5401-5407 - Jianfei Yu, Jing Jiang:
Adapting BERT for Target-Oriented Multimodal Sentiment Classification. 5408-5414 - Dong Zhang, Liangqing Wu, Changlong Sun, Shoushan Li, Qiaoming Zhu, Guodong Zhou
Modeling both Context- and Speaker-Sensitive Dependence for Emotion Detection in Multi-speaker Conversations. 5415-5421 - Junchi Zhang, Yanxia Qin, Yue Zhang, Mengchi Liu
Extracting Entities and Events as a Single Task Using a Transition-Based Neural Model. 5422-5428 - Qingheng Zhang, Zequn Sun, Wei Hu, Muhao Chen, Lingbing Guo, Yuzhong Qu:
Multi-view Knowledge Graph Embedding for Entity Alignment. 5429-5435 - Yazhou Zhang, Qiuchi Li, Dawei Song, Peng Zhang, Panpan Wang:
Quantum-Inspired Interactive Networks for Conversational Sentiment Analysis. 5436-5442 - Xueliang Zhao, Chongyang Tao, Wei Wu, Can Xu, Dongyan Zhao, Rui Yan:
A Document-grounded Matching Network for Response Selection in Retrieval-based Chatbots. 5443-5449 - Yi Zhao, Yanyan Shen, Junjie Yao:
Recurrent Neural Network for Text Classification with Hierarchical Multiscale Dense Connections. 5450-5456 - Chen Zheng
RLTM: An Efficient Neural IR Framework for Long Documents. 5457-5463 - Wanshan Zheng, Zibin Zheng
Dynamically Route Hierarchical Structure Representation to Attentive Capsule for Text Classification. 5464-5470 - Long Zhou, Jiajun Zhang, Chengqing Zong
Sequence Generation: From Both Sides to the Middle. 5471-5477 - Tianyuan Zhou, João Sedoc
Getting in Shape: Word Embedding SubSpaces. 5478-5484 - Yan Zhou, Longtao Huang, Tao Guo, Jizhong Han, Songlin Hu
A Span-based Joint Model for Opinion Target Extraction and Target Sentiment Classification. 5485-5491
Planning and Scheduling
- Spyros Angelopoulos, Shendan Jin:
Earliest-Completion Scheduling of Contract Algorithms with End Guarantees. 5493-5499 - Gregor Behnke
Finding Optimal Solutions in HTN Planning - A SAT-based Approach. 5500-5508 - Nikhil Bhargava, Brian C. Williams:
Faster Dynamic Controllability Checking in Temporal Networks with Integer Bounds. 5509-5515 - Ronen I. Brafman, Giuseppe De Giacomo:
Regular Decision Processes: A Model for Non-Markovian Domains. 5516-5522 - Alberto Camacho, Sheila A. McIlraith:
Strong Fully Observable Non-Deterministic Planning with LTL and LTLf Goals. 5523-5531 - Steven Carr, Nils Jansen
Counterexample-Guided Strategy Improvement for POMDPs Using Recurrent Neural Networks. 5532-5539 - Alberto Castellini, Georgios Chalkiadakis, Alessandro Farinelli
Influence of State-Variable Constraints on Partially Observable Monte Carlo Planning. 5540-5546 - Ramon Fraga Pereira, Mor Vered
Online Probabilistic Goal Recognition over Nominal Models. 5547-5553 - Guillem Francès, Augusto B. Corrêa, Cedric Geissmann, Florian Pommerening
Generalized Potential Heuristics for Classical Planning. 5554-5561 - Thomas Gabor, Jan Peter, Thomy Phan
Subgoal-Based Temporal Abstraction in Monte-Carlo Tree Search. 5562-5568 - Enrico H. Gerding, Alvaro Perez-Diaz, Haris Aziz
Fair Online Allocation of Perishable Goods and its Application to Electric Vehicle Charging. 5569-5575 - Andreas Herzig, Frédéric Maris, Julien Vianey:
Dynamic logic of parallel propositional assignments and its applications to planning. 5576-5582 - Majid Khonji, Ashkan Jasour, Brian C. Williams:
Approximability of Constant-horizon Constrained POMDP. 5583-5590 - Joseph Kim, Christian Muise, Ankit Shah
Bayesian Inference of Linear Temporal Logic Specifications for Contrastive Explanations. 5591-5598 - Lucas Martinelli Tabajara, Moshe Y. Vardi:
Partitioning Techniques in LTLf Synthesis. 5599-5606 - Thomy Phan
Adaptive Thompson Sampling Stacks for Memory Bounded Open-Loop Planning. 5607-5613 - Hangwei Qian
A Novel Distribution-Embedded Neural Network for Sensor-Based Activity Recognition. 5614-5620 - Jendrik Seipp:
Pattern Selection for Optimal Classical Planning with Saturated Cost Partitioning. 5621-5627 - Richard Stec, Antonín Novák, Premysl Sucha, Zdenek Hanzálek:
Scheduling Jobs with Stochastic Processing Time on Parallel Identical Machines. 5628-5634 - Xing Tan, Jimmy Xiangji Huang
On Computational Complexity of Pickup-and-Delivery Problems with Precedence Constraints or Time Windows. 5635-5643 - Álvaro Torralba
Merge-and-Shrink Task Reformulation for Classical Planning. 5644-5652 - Alvaro Velasquez:
Steady-State Policy Synthesis for Verifiable Control. 5653-5661
Robotics
- Zhenshan Bing, Christian Lemke, Zhuangyi Jiang, Kai Huang, Alois C. Knoll:
Energy-Efficient Slithering Gait Exploration for a Snake-Like Robot Based on Reinforcement Learning. 5663-5669 - Siddharth Gupta, Guy Sa'ar, Meirav Zehavi:
The Parameterized Complexity of Motion Planning for Snake-Like Robots. 5670-5676 - Madhu Babu Vankadari, Swagat Kumar, Anima Majumder, Kaushik Das:
Unsupervised Learning of Monocular Depth and Ego-Motion using Conditional PatchGANs. 5677-5684 - Haofei Xu, Jianmin Zheng
Region Deformer Networks for Unsupervised Depth Estimation from Unconstrained Monocular Videos. 5685-5691
Uncertainty in AI
- Luca Cardelli, Marta Kwiatkowska, Luca Laurenti, Nicola Paoletti
Statistical Guarantees for the Robustness of Bayesian Neural Networks. 5693-5700 - Yuqiao Chen, Nicholas Ruozzi
Lifted Message Passing for Hybrid Probabilistic Inference. 5701-5707 - Yi Chou, Sriram Sankaranarayanan:
Bayesian Parameter Estimation for Nonlinear Dynamics Using Sensitivity Analysis. 5708-5714 - Abhimanyu Dubey, Alex Pentland:
Thompson Sampling on Symmetric Alpha-Stable Bandits. 5715-5721 - Tal Friedman, Guy Van den Broeck:
On Constrained Open-World Probabilistic Databases. 5722-5729 - Dongxiao He, Wenze Song, Di Jin, Zhiyong Feng, Yuxiao Huang:
An End-to-End Community Detection Model: Integrating LDA into Markov Random Field via Factor Graph. 5730-5736 - Masakazu Ishihata, Takanori Maehara:
Exact Bernoulli Scan Statistics using Binary Decision Diagrams. 5737-5743 - Zhiyun Lu, Liyu Chen, Chao-Kai Chiang, Fei Sha:
Hyper-parameter Tuning under a Budget Constraint. 5744-5750 - Tahrima Rahman, Shasha Jin, Vibhav Gogate
Cutset Bayesian Networks: A New Representation for Learning Rao-Blackwellised Graphical Models. 5751-5757 - Tjitze Rienstra:
Ranked Programming. 5758-5764 - Jing Song, Hong Shen, Zijing Ou, Junyi Zhang, Teng Xiao, Shangsong Liang:
ISLF: Interest Shift and Latent Factors Combination Model for Session-based Recommendation. 5765-5771 - Xiaofei Xie
DiffChaser: Detecting Disagreements for Deep Neural Networks. 5772-5778
AI for Improving Human Well-being
- Alireza Abedin
SparseSense: Human Activity Recognition from Highly Sparse Sensor Data-streams Using Set-based Neural Networks. 5780-5786 - Andrea Aler Tubella, Andreas Theodorou
Governance by Glass-Box: Implementing Transparent Moral Bounds for AI Behaviour. 5787-5793 - Saumya Bhatnagar, Akshat Kumar, Hoong Chuin Lau
Decision Making for Improving Maritime Traffic Safety Using Constraint Programming. 5794-5800 - Serena Booth, Christian Muise, Julie Shah:
Evaluating the Interpretability of the Knowledge Compilation Map: Communicating Logical Statements Effectively. 5801-5807 - Katia Bourahmoune, Toshiyuki Amagasa
AI-powered Posture Training: Application of Machine Learning in Sitting Posture Recognition Using the LifeChair Smart Cushion. 5808-5814 - Jonathan Chase, Duc Thien Nguyen, Haiyang Sun, Hoong Chuin Lau
Improving Law Enforcement Daily Deployment Through Machine Learning-Informed Optimization under Uncertainty. 5815-5821 - Dawei Cheng, Yi Tu, Zhen-Wei Ma, Zhibin Niu
Risk Assessment for Networked-guarantee Loans Using High-order Graph Attention Representation. 5822-5828 - Lu Cheng, Jundong Li, Yasin N. Silva, Deborah L. Hall, Huan Liu:
PI-Bully: Personalized Cyberbullying Detection with Peer Influence. 5829-5835 - Vitalii Emelianov, George Arvanitakis, Nicolas Gast, Krishna P. Gummadi
The Price of Local Fairness in Multistage Selection. 5836-5842 - Fuli Feng, Huimin Chen, Xiangnan He, Ji Ding, Maosong Sun, Tat-Seng Chua:
Enhancing Stock Movement Prediction with Adversarial Training. 5843-5849 - Marcello Fiducioso, Sebastian Curi, Benedikt Schumacher, Markus Gwerder, Andreas Krause:
Safe Contextual Bayesian Optimization for Sustainable Room Temperature PID Control Tuning. 5850-5856 - Tianfan Fu, Trong Nghia Hoang, Cao Xiao, Jimeng Sun
DDL: Deep Dictionary Learning for Predictive Phenotyping. 5857-5863 - Supriyo Ghosh, Jing Yu Koh, Patrick Jaillet:
Improving Customer Satisfaction in Bike Sharing Systems through Dynamic Repositioning. 5864-5870 - Xavier Gitiaux, Huzefa Rangwala:
mdfa: Multi-Differential Fairness Auditor for Black Box Classifiers. 5871-5879 - Negar Hassanpour, Russell Greiner:
CounterFactual Regression with Importance Sampling Weights. 5880-5887 - Shenda Hong, Cao Xiao, Tengfei Ma
MINA: Multilevel Knowledge-Guided Attention for Modeling Electrocardiography Signals. 5888-5894 - Shenda Hong, Cao Xiao, Trong Nghia Hoang, Tengfei Ma
RDPD: Rich Data Helps Poor Data via Imitation. 5895-5901 - Dimitri Justeau-Allaire
Systematic Conservation Planning for Sustainable Land-use Policies: A Constrained Partitioning Approach to Reserve Selection and Design.. 5902-5908 - Donghun Lee, Srivatsan Srinivasan, Finale Doshi-Velez:
Truly Batch Apprenticeship Learning with Deep Successor Features. 5909-5915 - Jinning Li, Yexiang Xue:
Scribble-to-Painting Transformation with Multi-Task Generative Adversarial Networks. 5916-5922 - Muhammad A. Masood, Finale Doshi-Velez:
Diversity-Inducing Policy Gradient: Using Maximum Mean Discrepancy to Find a Set of Diverse Policies. 5923-5929 - Donghyeon Park, Keonwoo Kim, Yonggyu Park, Jungwoon Shin, Jaewoo Kang:
KitcheNette: Predicting and Ranking Food Ingredient Pairings using Siamese Neural Network. 5930-5936 - Zhi Qiao, Xian Wu
MNN: Multimodal Attentional Neural Networks for Diagnosis Prediction. 5937-5943 - Wenjie Ruan
Global Robustness Evaluation of Deep Neural Networks with Provable Guarantees for the Hamming Distance. 5944-5952 - Junyuan Shang, Tengfei Ma
Pre-training of Graph Augmented Transformers for Medication Recommendation. 5953-5959 - Shiv Shankar, Daniel Sheldon, Tao Sun
Three-quarter Sibling Regression for Denoising Observational Data. 5960-5966 - Kazuhiko Shinoda
Daytime Sleepiness Level Prediction Using Respiratory Information. 5967-5974 - Samuel Sokota, Ryan D'Orazio, Khurram Javed, Humza Haider, Russell Greiner:
Simultaneous Prediction Intervals for Patient-Specific Survival Curves. 5975-5981 - Pradyumna Tambwekar, Murtaza Dhuliawala, Lara J. Martin
Controllable Neural Story Plot Generation via Reward Shaping. 5982-5988 - Feilong Tang:
Bidirectional Active Learning with Gold-Instance-Based Human Training. 5989-5996 - Alan Tsang, Bryan Wilder, Eric Rice, Milind Tambe, Yair Zick:
Group-Fairness in Influence Maximization. 5997-6005 - Akifumi Wachi:
Failure-Scenario Maker for Rule-Based Agent using Multi-agent Adversarial Reinforcement Learning and its Application to Autonomous Driving. 6006-6012 - Xiao Wang, Siyue Wang, Pin-Yu Chen, Yanzhi Wang, Brian Kulis, Xue Lin, Sang Chin:
Protecting Neural Networks with Hierarchical Random Switching: Towards Better Robustness-Accuracy Trade-off for Stochastic Defenses. 6013-6019 - Xinrun Wang, Bo An, Hau Chan:
Who Should Pay the Cost: A Game-theoretic Model for Government Subsidized Investments to Improve National Cybersecurity. 6020-6027 - Xiyu Yan, Yong Jiang, Shuai Chen, Zihao He, Chunmei Li, Shu-Tao Xia, Tao Dai, Shuo Dong, Feng Zheng:
Automatic Grassland Degradation Estimation Using Deep Learning. 6028-6034 - Ke Yang
Balanced Ranking with Diversity Constraints. 6035-6042 - Mingyang Zhang, Tong Li
A Decomposition Approach for Urban Anomaly Detection Across Spatiotemporal Data. 6043-6049 - Yue Zhang, Arti Ramesh:
Learning Interpretable Relational Structures of Hinge-loss Markov Random Fields. 6050-6056 - Yuxi Zhou
K-margin-based Residual-Convolution-Recurrent Neural Network for Atrial Fibrillation Detection. 6057-6063
Understanding Intelligence and Human-level AI in the New Machine Learning era
- Alberto Camacho, Rodrigo Toro Icarte, Toryn Q. Klassen, Richard Anthony Valenzano, Sheila A. McIlraith:
LTL and Beyond: Formal Languages for Reward Function Specification in Reinforcement Learning. 6065-6073 - Andrew Cropper:
Playgol: Learning Programs Through Play. 6074-6080 - Sebastijan Dumancic, Tias Guns
Learning Relational Representations with Auto-encoding Logic Programs. 6081-6087 - Sebastijan Dumancic, Alberto García-Durán, Mathias Niepert
A Comparative Study of Distributional and Symbolic Paradigms for Relational Learning. 6088-6094 - James R. Kirk, John E. Laird
Learning Hierarchical Symbolic Representations to Support Interactive Task Learning and Knowledge Transfer. 6095-6102 - Maxat Kulmanov
EL Embeddings: Geometric Construction of Models for the Description Logic EL++. 6103-6109 - Yusen Liu, Fangyuan He, Haodi Zhang
How Well Do Machines Perform on IQ tests: a Comparison Study on a Large-Scale Dataset. 6110-6116 - Xujie Si, Mukund Raghothaman
Synthesizing Datalog Programs using Numerical Relaxation. 6117-6124
Best Sister Conferences
- Christer Bäckström, Peter Jonsson, Sebastian Ordyniak
A Refined Understanding of Cost-optimal Planning with Polytree Causal Graphs. 6126-6130 - Stefan Borgwardt, Walter Forkel:
Closed-World Semantics for Conjunctive Queries with Negation over ELH-bottom Ontologies. 6131-6135 - Alessandro Checco, Jo Bates
Quality Control Attack Schemes in Crowdsourcing. 6136-6140 - Marco Console, Paolo Guagliardo, Leonid Libkin
Do We Need Many-valued Logics for Incomplete Information?. 6141-6145 - Mark Díaz, Isaac Johnson, Amanda Lazar, Anne Marie Piper
Addressing Age-Related Bias in Sentiment Analysis. 6146-6150 - Tobias Friedrich, Ralf Rothenberger:
Sharpness of the Satisfiability Threshold for Non-Uniform Random k-SAT. 6151-6155 - Sven Gowal, Krishnamurthy Dvijotham, Robert Stanforth, Timothy A. Mann, Pushmeet Kohli:
A Dual Approach to Verify and Train Deep Networks. 6156-6160 - Nika Haghtalab, Simon Mackenzie, Ariel D. Procaccia, Oren Salzman, Siddhartha S. Srinivasa:
The Provable Virtue of Laziness in Motion Planning. 6161-6165 - Emmanuel Hebrard
Clause Learning and New Bounds for Graph Coloring. 6166-6170 - Daniel Höller, Pascal Bercher
On Guiding Search in HTN Planning with Classical Planning Heuristics. 6171-6175 - Mohammad Tanvir Irfan
The Power of Context in Networks: Ideal Point Models with Social Interactions. 6176-6180 - Amin Jaber, Jiji Zhang, Elias Bareinboim:
On Causal Identification under Markov Equivalence. 6181-6185 - Tobias Kaminski, Thomas Eiter, Katsumi Inoue:
Meta-Interpretive Learning Using HEX-Programs. 6186-6190 - Gil Keren, Sivan Sabato
A Walkthrough for the Principle of Logit Separation. 6191-6195 - Lydia T. Liu, Sarah Dean, Esther Rolf, Max Simchowitz, Moritz Hardt:
Delayed Impact of Fair Machine Learning. 6196-6200 - Benedikt Loepp
Impact of Consuming Suggested Items on the Assessment of Recommendations in User Studies on Recommender Systems. 6201-6205 - Panagiotis Mandros, Mario Boley, Jilles Vreeken
Discovering Reliable Dependencies from Data: Hardness and Improved Algorithms. 6206-6210 - Kuldeep S. Meel, Aditya A. Shrotri, Moshe Y. Vardi:
Not All FPRASs are Equal: Demystifying FPRASs for DNF-Counting (Extended Abstract). 6211-6215 - Anthony Palmieri, Arnaud Lallouet, Luc Pons:
Constraint Games for Stable and Optimal Allocation of Demands in SDN. 6216-6220 - Eshed Shaham, Ariel Felner, Nathan R. Sturtevant, Jeffrey S. Rosenschein:
Optimally Efficient Bidirectional Search. 6221-6225 - Harold Soh, Pan Shu, Min Chen, David Hsu:
Trust Dynamics and Transfer across Human-Robot Interaction Tasks: Bayesian and Neural Computational Models. 6226-6230 - Marc Toussaint, Kelsey R. Allen, Kevin A. Smith, Joshua B. Tenenbaum:
Differentiable Physics and Stable Modes for Tool-Use and Manipulation Planning - Extended Abtract. 6231-6235 - Flavian Vasile, Stephen Bonner:
Causal Embeddings for Recommendation: An Extended Abstract. 6236-6240 - Amir Zamir, Alexander Sax, William B. Shen, Leonidas J. Guibas, Jitendra Malik, Silvio Savarese:
Taskonomy: Disentangling Task Transfer Learning. 6241-6245 - Daniel Zügner, Amir Akbarnejad, Stephan Günnemann:
Adversarial Attacks on Neural Networks for Graph Data. 6246-6250
Survey track
- Somak Aditya, Yezhou Yang, Chitta Baral:
Integrating Knowledge and Reasoning in Image Understanding. 6252-6259 - Leila Amgoud:
A Replication Study of Semantics in Argumentation. 6260-6266 - Pascal Bercher
A Survey on Hierarchical Planning - One Abstract Idea, Many Concrete Realizations. 6267-6275 - Ruth M. J. Byrne:
Counterfactuals in Explainable Artificial Intelligence (XAI): Evidence from Human Reasoning. 6276-6282 - Shaoxiang Chen
Deep Learning for Video Captioning: A Review. 6283-6290 - Aryan Deshwal, Janardhan Rao Doppa, Dan Roth:
Learning and Inference for Structured Prediction: A Unifying Perspective. 6291-6299 - Zixuan Ke, Vincent Ng:
Automated Essay Scoring: A Survey of the State of the Art. 6300-6308 - Jelena Luketina, Nantas Nardelli, Gregory Farquhar, Jakob N. Foerster, Jacob Andreas, Edward Grefenstette, Shimon Whiteson, Tim Rocktäschel:
A Survey of Reinforcement Learning Informed by Natural Language. 6309-6317 - Shimei Pan, Tao Ding:
Social Media-based User Embedding: A Literature Review. 6318-6324 - Faraz Torabi, Garrett Warnell, Peter Stone:
Recent Advances in Imitation Learning from Observation. 6325-6331 - Shoujin Wang
Sequential Recommender Systems: Challenges, Progress and Prospects. 6332-6338 - Ruohan Zhang, Faraz Torabi, Lin Guan, Dana H. Ballard, Peter Stone:
Leveraging Human Guidance for Deep Reinforcement Learning Tasks. 6339-6346
Journal track
- Pierre Baldi, Peter J. Sadowski, Zhiqin Lu:
Learning in the Machine: Random Backpropagation and the Deep Learning Channel (Extended Abstract). 6348-6352 - Nikhil Bhargava, Brian C. Williams:
Complexity Bounds for the Controllability of Temporal Networks with Conditions, Disjunctions, and Uncertainty (Extended Abstract). 6353-6357 - Emmanuelle-Anna Dietz Saldanha, Steffen Hölldobler, Carroline Dewi Puspa Kencana Ramli, Luis Palacios Medinacelli:
A Core Method for the Weak Completion Semantics with Skeptical Abduction (Extended Abstract). 6358-6361 - Bettina Fazzinga
Complexity of Fundamental Problems in Probabilistic Abstract Argumentation: Beyond Independence (Extended Abstract). 6362-6366 - Marco Garapa
Shielded Base Contraction (Extended Abstract). 6367-6371 - Bernhard Nebel, Thomas Bolander, Thorsten Engesser, Robert Mattmüller:
Implicitly Coordinated Multi-Agent Path Finding under Destination Uncertainty: Success Guarantees and Computational Complexity (Extended Abstract). 6372-6376 - Ritesh Noothigattu, Djallel Bouneffouf, Nicholas Mattei, Rachita Chandra, Piyush Madan, Kush R. Varshney, Murray Campbell, Moninder Singh, Francesca Rossi:
Teaching AI Agents Ethical Values Using Reinforcement Learning and Policy Orchestration. 6377-6381 - Claudia Schulz, Francesca Toni:
On the Responsibility for Undecisiveness in Preferred and Stable Labellings in Abstract Argumentation (Extended Abstract). 6382-6386
Early Career
- Joydeep Biswas
The Quest For "Always-On" Autonomous Mobile Robots. 6388-6392 - Fei Fang:
Integrating Learning with Game Theory for Societal Challenges. 6393-6397 - Akshat Kumar:
Multiagent Decision Making and Learning in Urban Environments. 6398-6402 - Gerardo I. Simari:
From Data to Knowledge Engineering for Cybersecurity. 6403-6407 - Shirin Sohrabi:
AI Planning for Enterprise: Putting Theory Into Practice. 6408-6410 - Roni Stern:
Domain-Dependent and Domain-Independent Problem Solving Techniques. 6411-6415 - Byron C. Wallace:
What Does the Evidence Say? Models to Help Make Sense of the Biomedical Literature. 6416-6420
Doctoral Consortium
- Sultan Ahmed:
Conditional Preference Network with Constraints and Uncertainty. 6422-6423 - Mahdi Bidar, Malek Mouhoub:
Constraint Solving and Optimization Using Evolutionary Techniques. 6424-6425 - Elizabeth Bondi:
Visionary Security: Using Uncertain Real-Time Information in Signaling Games. 6426-6427 - María del Carmen Fernández Martínez, Alberto Fernández:
AI in Recruiting. Multi-agent Systems Architecture for Ethical and Legal Auditing. 6428-6429 - Jun Gao, Jianliang Gao:
A Similarity Measurement Method Based on Graph Kernel for Disconnected Graphs. 6430-6431 - Mengyu Gao, Yuxin Ye, Dantong Ouyang, Bin Wang:
Finding Justifications by Approximating Core for Large-scale Ontologies. 6432-6433 - Shivam Goel:
Teaching Robots to Interact with Humans in a Smart Environment. 6434-6435 - Tejas Gokhale:
Vision beyond Pixels: Visual Reasoning via Blocksworld Abstractions. 6436-6437 - John Harwell:
A Unified Mathematical Approach for Foraging and Construction Systems in a 1, 000, 000 Robot Swarm. 6438-6439 - Céline Hocquette:
Can Meta-Interpretive Learning outperform Deep Reinforcement Learning of Evaluable Game strategies?. 6440-6441 - Ling Huang:
Unsupervised Multi-view Learning. 6442-6443 - Min Hun Lee:
Intelligent Agent for Assessing and Guiding Rehabilitation Exercises. 6444-6445 - Ziming Li:
Optimizing Interactive Systems with Data-Driven Objectives. 6446-6447 - Baihan Lin
Split Q Learning: Reinforcement Learning with Two-Stream Rewards. 6448-6449 - Bonaventure C. Molokwu
Event Prediction in Complex Social Graphs using One-Dimensional Convolutional Neural Network. 6450-6451 - Seán Quinn, Alessandra Mileo:
Towards Architecture-Agnostic Neural Transfer: a Knowledge-Enhanced Approach. 6452-6453 - Shailaja Sampat:
Technical, Hard and Explainable Question Answering (THE-QA). 6454-6455 - Lindsay Sanneman:
Preference Elicitation and Explanation in Iterative Planning. 6456-6457 - Anil Sharma:
Intelligent Querying in Camera Networks for Efficient Target Tracking. 6458-6459 - Thiago D. Simão
Safe and Sample-Efficient Reinforcement Learning Algorithms for Factored Environments. 6460-6461 - Gustav Sourek
Deep Learning with Relational Logic Representations. 6462-6463 - Zhaohong Sun
Matching with Constraints. 6464-6465 - Martin Svatos:
Cautious Rule-Based Collective Inference. 6466-6467 - Ilse Verdiesen:
The Design of Human Oversight in Autonomous Weapon Systems. 6468-6469 - Sunny Verma, Chen Wang
A Compliance Checking Framework for DNN Models. 6470-6471 - Kai Wang:
Adversarial Machine Learning with Double Oracle. 6472-6473 - Bryan Wilder:
AI at the Margins: Data, Decisions, and Inclusive Social Impact. 6474-6475 - Chayut Wiwatcharakoses, Daniel Berrar:
Self-Organizing Incremental Neural Networks for Continual Learning. 6476-6477 - Lianlong Wu:
Evolutionary Learning of Existential Rules. 6478-6479 - Fan Xiong, Jianliang Gao:
Entity Alignment for Cross-lingual Knowledge Graph with Graph Convolutional Networks. 6480-6481 - Wanyi Zhang:
Personal Context Recognition via Skeptical Learning. 6482-6483
Demos
- Manuel Arias, Jorge Pérez-Martín
OpenMarkov, an Open-Source Tool for Probabilistic Graphical Models. 6485-6487 - Roy Assaf, Anika Schumann:
Explainable Deep Neural Networks for Multivariate Time Series Predictions. 6488-6490 - Roman Barták
Multi-Agent Path Finding on Ozobots. 6491-6493 - Tristan Charrier, Sébastien Gamblin
Hintikka's World: Scalable Higher-order Knowledge. 6494-6496 - Cen Chen, Xiaolu Zhang, Sheng Ju, Chilin Fu, Caizhi Tang, Jun Zhou, Xiaolong Li
AntProphet: an Intention Mining System behind Alipay's Intelligent Customer Service Bot. 6497-6499 - Chung-Chi Chen
Crowd View: Converting Investors' Opinions into Indicators. 6500-6502 - Haipeng Chen
VEST: A System for Vulnerability Exploit Scoring & Timing. 6503-6505 - Yu-Hua Chen, Bryan Wang, Yi-Hsuan Yang:
Demonstration of PerformanceNet: A Convolutional Neural Network Model for Score-to-Audio Music Generation. 6506-6508 - Kaize Ding, Jundong Li, Shivam Dhar, Shreyash Devan, Huan Liu:
InterSpot: Interactive Spammer Detection in Social Media. 6509-6511 - Rahul R. Divekar
Embodied Conversational AI Agents in a Multi-modal Multi-agent Competitive Dialogue. 6512-6514 - Yingwei Fu, Kele Xu
A Mobile Application for Sound Event Detection. 6515-6517 - Jonathan Grizou:
The Open Vault Challenge - Learning How to Build Calibration-Free Interactive Systems by Cracking the Code of a Vault. 6518-6520 - Xu Guo
Agent-based Decision Support for Pain Management in Primary Care Settings. 6521-6523 - Shohreh Haddadan, Elena Cabrio, Serena Villata:
DISPUTool - A tool for the Argumentative Analysis of Political Debates. 6524-6526 - Mohamed Hanoosh, Abhishek Laddha, Debdoot Mukherjee:
Contextual Typeahead Sticker Suggestions on Hike Messenger. 6527-6529 - Samuel Kolb, Paolo Morettin
The pywmi Framework and Toolbox for Probabilistic Inference using Weighted Model Integration. 6530-6532 - Divesh Lala, Graham Wilcock, Kristiina Jokinen, Tatsuya Kawahara
ERICA and WikiTalk. 6533-6535 - Kehua Lei, Tianyi Ma, Jia Jia, Cunjun Zhang, Zhihan Yang:
Design and Implementation of a Disambiguity Framework for Smart Voice Controlled Devices. 6536-6538 - Jing Li:
Neural Discourse Segmentation. 6539-6541 - Peiyao Li
CoTrRank: Trust Evaluation of Users and Tweets. 6542-6544 - Ruixue Liu, Baoyang Chen
Mappa Mundi: An Interactive Artistic Mind Map Generator with Artificial Imagination. 6545-6547 - Chong Long, Zining Liu, Xiaolu Lu, Zehong Hu, Yafang Wang:
CRSRL: Customer Routing System Using Reinforcement Learning. 6548-6550 - Tobias Mayer, Elena Cabrio, Serena Villata:
ACTA A Tool for Argumentative Clinical Trial Analysis. 6551-6553 - Haibo Mi, Kele Xu
A Quantitative Analysis Platform for PD-L1 Immunohistochemistry based on Point-level Supervision Model. 6554-6556 - Fred Morstatter, Aram Galstyan, Gleb Satyukov, Daniel Benjamin
SAGE: A Hybrid Geopolitical Event Forecasting System. 6557-6559 - Matthew Peveler, Jeffrey O. Kephart, Hui Su:
Reagent: Converting Ordinary Webpages into Interactive Software Agents. 6560-6562 - Tiago Pinto, Zita A. Vale
AiD-EM: Adaptive Decision Support for Electricity Markets Negotiations. 6563-6565 - Zhiwei (Tony) Qin, Xiaocheng Tang, Yan Jiao, Fan Zhang, Chenxi Wang, Qun (Tracy) Li:
Deep Reinforcement Learning for Ride-sharing Dispatching and Repositioning. 6566-6568 - Zhaoyue Sun, Jiaze Chen
GraspSnooker: Automatic Chinese Commentary Generation for Snooker Videos. 6569-6571 - Xiguang Wei, Quan Li, Yang Liu, Han Yu
Multi-Agent Visualization for Explaining Federated Learning. 6572-6574 - Han Yu
Fair and Explainable Dynamic Engagement of Crowd Workers. 6575-6577 - Anxiang Zeng, Han Yu
An Online Intelligent Visual Interaction System. 6578-6580 - Shuai Zhang
DeepRec: An Open-source Toolkit for Deep Learning based Recommendation. 6581-6583 - Qinghua Zheng, Yating Lin, Huan He
ATTENet: Detecting and Explaining Suspicious Tax Evasion Groups. 6584-6586 - Yongqing Zheng, Han Yu
Intelligent Decision Support for Improving Power Management. 6587-6589
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