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ORCID29th IJCAI 2020: [Yokohama, Japan, postponed]
- Christian Bessiere:
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, IJCAI 2020. ijcai.org 2020, ISBN 978-0-9992411-6-5Scheduled for July 2020, Yokohama, Japan, postponed due to the Corona pandemic.
Main track
Agent-based and Multi-agent Systems
- Saba Ahmadi, Faez Ahmed, John P. Dickerson, Mark D. Fuge, Samir Khuller:
An Algorithm for Multi-Attribute Diverse Matching. 3-9 - Yuan Yao
, Natasha Alechina, Brian Logan, John Thangarajah:
Intention Progression under Uncertainty. 10-16 - Tahar Allouche, Bruno Escoffier, Stefano Moretti, Meltem Öztürk:
Social Ranking Manipulability for the CP-Majority, Banzhaf and Lexicographic Excellence Solutions. 17-23 - Georgios Amanatidis, Georgios Birmpas, Aris Filos-Ratsikas, Alexandros Hollender, Alexandros A. Voudouris:
Maximum Nash Welfare and Other Stories About EFX. 24-30 - Yanchen Deng, Bo An:
Speeding Up Incomplete GDL-based Algorithms for Multi-agent Optimization with Dense Local Utilities. 31-38 - Haris Aziz, Simon Rey:
Almost Group Envy-free Allocation of Indivisible Goods and Chores. 39-45 - Siddharth Barman, Ranjani G. Sundaram:
Uniform Welfare Guarantees Under Identical Subadditive Valuations. 46-52 - Aris Anagnostopoulos, Luca Becchetti, Emilio Cruciani, Francesco Pasquale, Sara Rizzo:
Biased Opinion Dynamics: When the Devil is in the Details. 53-59 - Nagat Drawel, Jamal Bentahar, Amine Laarej, Gaith Rjoub:
Formalizing Group and Propagated Trust in Multi-Agent Systems. 60-66 - Niclas Boehmer, Robert Bredereck, Dusan Knop, Junjie Luo:
Fine-Grained View on Bribery for Group Identification. 67-73 - Ioannis Caragiannis, Christos Kaklamanis, Nikos Karanikolas, George A. Krimpas:
Evaluating Approval-Based Multiwinner Voting in Terms of Robustness to Noise. 74-80 - Aleksander Czechowski, Frans A. Oliehoek:
Decentralized MCTS via Learned Teammate Models. 81-88 - Chinmay Sonar, Palash Dey, Neeldhara Misra:
On the Complexity of Winner Verification and Candidate Winner for Multiwinner Voting Rules. 89-95 - Niclas Boehmer, Edith Elkind:
Stable Roommate Problem with Diversity Preferences. 96-102 - Robert Bredereck, Piotr Faliszewski, Michal Furdyna, Andrzej Kaczmarczyk, Martin Lackner:
Strategic Campaign Management in Apportionment Elections. 103-109 - Brandon Fain, William Fan, Kamesh Munagala:
Concentration of Distortion: The Value of Extra Voters in Randomized Social Choice. 110-116 - Nathanaël Fijalkow, Bastien Maubert, Aniello Murano, Moshe Y. Vardi:
Assume-Guarantee Synthesis for Prompt Linear Temporal Logic. 117-123 - Naman Goel, Aris Filos-Ratsikas, Boi Faltings:
Peer-Prediction in the Presence of Outcome Dependent Lying Incentives. 124-131 - Rupert Freeman, Anson Kahng, David M. Pennock:
Proportionality in Approval-Based Elections With a Variable Number of Winners. 132-138 - Hagen Echzell, Tobias Friedrich, Pascal Lenzner, Anna Melnichenko:
Flow-Based Network Creation Games. 139-145 - Jiehua Chen, Robert Ganian, Thekla Hamm:
Stable Matchings with Diversity Constraints: Affirmative Action is beyond NP. 146-152 - Haris Aziz, Serge Gaspers, Zhaohong Sun:
Mechanism Design for School Choice with Soft Diversity Constraints. 153-159 - Nika Haghtalab, Nicole Immorlica, Brendan Lucier, Jack Z. Wang:
Maximizing Welfare with Incentive-Aware Evaluation Mechanisms. 160-166 - Aditya Hegde, Vibhav Agarwal, Shrisha Rao:
Ethics, Prosperity, and Society: Moral Evaluation Using Virtue Ethics and Utilitarianism. 167-174 - Niklas Hahn, Martin Hoefer, Rann Smorodinsky:
Prophet Inequalities for Bayesian Persuasion. 175-181 - Hadi Hosseini, Ayumi Igarashi, Andrew Searns:
Fair Division of Time: Multi-layered Cake Cutting. 182-188 - Sushmita Gupta, Pallavi Jain, Saket Saurabh:
Well-Structured Committees. 189-195 - Michal Jaworski, Piotr Skowron:
Evaluating Committees for Representative Democracies: the Distortion and Beyond. 196-202 - Piotr Faliszewski, Alexander Karpov, Svetlana Obraztsova:
The Complexity of Election Problems with Group-Separable Preferences. 203-209 - Wiebe van der Hoek, Louwe B. Kuijer, Yì N. Wáng:
Logics of Allies and Enemies: A Formal Approach to the Dynamics of Social Balance Theory. 210-216 - Abhishek Ninad Kulkarni, Jie Fu:
Synthesis of Deceptive Strategies in Reachability Games with Action Misperception. 217-223 - Zack Fitzsimmons, Omer Lev:
Selecting Voting Locations for Fun and Profit. 224-230 - Bin Li, Dong Hao, Dengji Zhao:
Incentive-Compatible Diffusion Auctions. 231-237 - Minming Li, Pinyan Lu, Yuhao Yao, Jialin Zhang:
Strategyproof Mechanism for Two Heterogeneous Facilities with Constant Approximation Ratio. 238-245 - Jakub Cerný, Viliam Lisý, Branislav Bosanský, Bo An:
Dinkelbach-Type Algorithm for Computing Quantal Stackelberg Equilibrium. 246-253 - Reuth Mirsky, William Macke, Andy Wang, Harel Yedidsion, Peter Stone:
A Penny for Your Thoughts: The Value of Communication in Ad Hoc Teamwork. 254-260 - Soh Kumabe, Takanori Maehara:
Convexity of b-matching Games. 261-267 - Saaduddin Mahmud, Md. Mosaddek Khan, Moumita Choudhury, Long Tran-Thanh, Nicholas R. Jennings:
Learning Optimal Temperature Region for Solving Mixed Integer Functional DCOPs. 268-275 - Szymon Dudycz, Pasin Manurangsi, Jan Marcinkowski, Krzysztof Sornat:
Tight Approximation for Proportional Approval Voting. 276-282 - Thanh Hong Nguyen, Arunesh Sinha, He He:
Partial Adversarial Behavior Deception in Security Games. 283-289 - Trung Thanh Nguyen, Jörg Rothe:
Approximate Pareto Set for Fair and Efficient Allocation: Few Agent Types or Few Resource Types. 290-296 - Pallavi Bagga, Nicola Paoletti, Bedour Alrayes, Kostas Stathis:
A Deep Reinforcement Learning Approach to Concurrent Bilateral Negotiation. 297-303 - Evangelos Markakis, Georgios Papasotiropoulos:
Computational Aspects of Conditional Minisum Approval Voting in Elections with Interdependent Issues. 304-310 - Elham Parhizkar, Mohammad Hossein Nikravan, Robert C. Holte, Sandra Zilles:
Combining Direct Trust and Indirect Trust in Multi-Agent Systems. 311-317 - Edith Elkind, Neel Patel, Alan Tsang, Yair Zick:
Keeping Your Friends Close: Land Allocation with Friends. 318-324 - Alessio Lomuscio, Edoardo Pirovano:
Verifying Fault-Tolerance in Probabilistic Swarm Systems. 325-331 - Maria-Florina Balcan, Siddharth Prasad, Tuomas Sandholm:
Efficient Algorithms for Learning Revenue-Maximizing Two-Part Tariffs. 332-338 - Yujian Ye, Dawei Qiu, Jonathan Ward, Marcin Abram:
Model-Free Real-Time Autonomous Energy Management for a Residential Multi-Carrier Energy System: A Deep Reinforcement Learning Approach. 339-346 - Anna Maria Kerkmann, Jörg Rothe:
Altruism in Coalition Formation Games. 347-353 - Sandhya Saisubramanian, Ece Kamar, Shlomo Zilberstein:
A Multi-Objective Approach to Mitigate Negative Side Effects. 354-361 - Ludwig Dierks, Sven Seuken:
The Competitive Effects of Variance-based Pricing. 362-370 - Weiran Shen, Weizhe Chen, Taoan Huang, Rohit Singh, Fei Fang:
When to Follow the Tip: Security Games with Strategic Informants. 371-377 - Ron Lavi, Omer Shiran-Shvarzbard:
Competition Among Contests: a Safety Level Analysis. 378-385 - Pallavi Jain, Krzysztof Sornat, Nimrod Talmon:
Participatory Budgeting with Project Interactions. 386-392 - Nicholas Mattei, Paolo Turrini, Stanislav Zhydkov:
PeerNomination: Relaxing Exactness for Increased Accuracy in Peer Selection. 393-399 - Minming Li, Chenhao Wang, Mengqi Zhang:
Budgeted Facility Location Games with Strategic Facilities. 400-406 - Feng Wu, Sarvapali D. Ramchurn:
Monte-Carlo Tree Search for Scalable Coalition Formation. 407-413 - Ying Wen, Yaodong Yang, Jun Wang:
Modelling Bounded Rationality in Multi-Agent Interactions by Generalized Recursive Reasoning. 414-421 - Yao Zhang, Xiuzhen Zhang, Dengji Zhao:
Sybil-proof Answer Querying Mechanism. 422-428
AI Ethics
- Pablo Badilla, Felipe Bravo-Marquez, Jorge Pérez:
WEFE: The Word Embeddings Fairness Evaluation Framework. 430-436 - Samuel Yeom, Matt Fredrikson:
Individual Fairness Revisited: Transferring Techniques from Adversarial Robustness. 437-443 - Boli Fang, Miao Jiang, Pei-yi Cheng, Jerry Shen, Yi Fang:
Achieving Outcome Fairness in Machine Learning Models for Social Decision Problems. 444-450 - Emanuele Albini, Antonio Rago, Pietro Baroni, Francesca Toni:
Relation-Based Counterfactual Explanations for Bayesian Network Classifiers. 451-457 - Pingchuan Ma, Shuai Wang, Jin Liu:
Metamorphic Testing and Certified Mitigation of Fairness Violations in NLP Models. 458-465
Computer Vision
- Zhisheng Zhong, Hiroaki Akutsu, Kiyoharu Aizawa:
Channel-Level Variable Quantization Network for Deep Image Compression. 467-473 - Yan Bai, Yihang Lou, Yongxing Dai, Jun Liu, Ziqian Chen, Ling-Yu Duan:
Disentangled Feature Learning Network for Vehicle Re-Identification. 474-480 - Agostina Calabrese, Michele Bevilacqua, Roberto Navigli:
EViLBERT: Learning Task-Agnostic Multimodal Sense Embeddings. 481-487 - Haimei Zhao, Wei Bian, Bo Yuan, Dacheng Tao:
Collaborative Learning of Depth Estimation, Visual Odometry and Camera Relocalization from Monocular Videos. 488-494 - Elena Burceanu, Marius Leordeanu:
A 3D Convolutional Approach to Spectral Object Segmentation in Space and Time. 495-501 - Qiyao Deng, Jie Cao, Yunfan Liu, Zhenhua Chai, Qi Li, Zhenan Sun:
Reference Guided Face Component Editing. 502-508 - Xiao Wang, Jun Chen, Zheng Wang, Wu Liu, Shin'ichi Satoh, Chao Liang, Chia-Wen Lin:
When Pedestrian Detection Meets Nighttime Surveillance: A New Benchmark. 509-515 - Jian Ye, Zhe Chen, Juhua Liu, Bo Du:
TextFuseNet: Scene Text Detection with Richer Fused Features. 516-522 - Zhengsu Chen, Jianwei Niu, Xuefeng Liu, Shaojie Tang:
SelectScale: Mining More Patterns from Images via Selective and Soft Dropout. 523-529 - Qiankun Liu, Qi Chu, Bin Liu, Nenghai Yu:
GSM: Graph Similarity Model for Multi-Object Tracking. 530-536 - Feng Li, Runming Cong, Huihui Bai, Yifan He:
Deep Interleaved Network for Single Image Super-Resolution with Asymmetric Co-Attention. 537-543 - Tong Wu, Bicheng Dai, Shuxin Chen, Yanyun Qu, Yuan Xie:
Meta Segmentation Network for Ultra-Resolution Medical Images. 544-550 - Kun Wei, Cheng Deng, Xu Yang:
Lifelong Zero-Shot Learning. 551-557 - Haytham M. Fayek, Anurag Kumar:
Large Scale Audiovisual Learning of Sounds with Weakly Labeled Data. 558-565 - Menglu Wang, Xueyang Fu, Zepei Sun, Zheng-Jun Zha:
JPEG Artifacts Removal via Compression Quality Ranker-Guided Networks. 566-572 - Siddhartha Gairola, Mayur Hemani, Ayush Chopra, Balaji Krishnamurthy:
SimPropNet: Improved Similarity Propagation for Few-shot Image Segmentation. 573-579 - Jiangzhang Gan, Xiaofeng Zhu, Rongyao Hu, Yonghua Zhu, Junbo Ma, Zi-Wen Peng, Guorong Wu:
Multi-graph Fusion for Functional Neuroimaging Biomarker Detection. 580-586 - Tao He, Lianli Gao, Jingkuan Song, Jianfei Cai, Yuan-Fang Li:
Learning from the Scene and Borrowing from the Rich: Tackling the Long Tail in Scene Graph Generation. 587-593 - Lianli Gao, Zhilong Zhou, Heng Tao Shen, Jingkuan Song:
Bottom-up and Top-down: Bidirectional Additive Net for Edge Detection. 594-600 - Jiachen Xu, Jingyu Gong, Jie Zhou, Xin Tan, Yuan Xie, Lizhuang Ma:
SceneEncoder: Scene-Aware Semantic Segmentation of Point Clouds with A Learnable Scene Descriptor. 601-607 - Vikram Ravindra, Ananth Grama:
Characterizing Similarity of Visual Stimulus from Associated Neuronal Response. 608-614 - Han-Yi Lin, Pi-Cheng Hsiu, Tei-Wei Kuo, Yen-Yu Lin:
Spatiotemporal Super-Resolution with Cross-Task Consistency and Its Semi-supervised Extension. 615-622 - Siyu Huang, Haoyi Xiong, Zhi-Qi Cheng, Qingzhong Wang, Xingran Zhou, Bihan Wen, Jun Huan, Dejing Dou:
Generating Person Images with Appearance-aware Pose Stylizer. 623-629 - Tao Jin, Siyu Huang, Ming Chen, Yingming Li, Zhongfei Zhang:
SBAT: Video Captioning with Sparse Boundary-Aware Transformer. 630-636 - Xinjian Huang, Bo Du, Weiwei Liu:
Multichannel Color Image Denoising via Weighted Schatten p-norm Minimization. 637-644 - Yawen Huang, Feng Zheng, Danyang Wang, Junyu Jiang, Xiaoqian Wang, Ling Shao:
Super-Resolution and Inpainting with Degraded and Upgraded Generative Adversarial Networks. 645-651 - Zhikun Huang, Zhedong Zheng, Chenggang Yan, Hongtao Xie, Yaoqi Sun, Jianzhong Wang, Jiyong Zhang:
Real-World Automatic Makeup via Identity Preservation Makeup Net. 652-658 - Ziwei Wang, Zi Huang, Yadan Luo:
Human Consensus-Oriented Image Captioning. 659-665 - Changbin Shao, Jing Huo, Lei Qi, Zhenhua Feng, Wenbin Li, Chuanqi Dong, Yang Gao:
Biased Feature Learning for Occlusion Invariant Face Recognition. 666-672 - Mingbao Lin, Rongrong Ji, Yuxin Zhang, Baochang Zhang, Yongjian Wu, Yonghong Tian:
Channel Pruning via Automatic Structure Search. 673-679 - Rui Zheng, Fei Jiang, Ruimin Shen:
GestureDet: Real-time Student Gesture Analysis with Multi-dimensional Attention-based Detector. 680-686 - Xiaoze Jiang, Jing Yu, Yajing Sun, Zengchang Qin, Zihao Zhu, Yue Hu, Qi Wu:
DAM: Deliberation, Abandon and Memory Networks for Generating Detailed and Non-repetitive Responses in Visual Dialogue. 687-693 - Yakun Ju, Kin-Man Lam, Yang Chen, Lin Qi, Junyu Dong:
Pay Attention to Devils: A Photometric Stereo Network for Better Details. 694-700 - Meng Lan, Yipeng Zhang, Qinning Xu, Lefei Zhang:
E3SN: Efficient End-to-End Siamese Network for Video Object Segmentation. 701-707 - Siyuan Li, Zhi Zhang, Ziyu Liu, Anna Wang, Linglong Qiu, Feng Du:
TLPG-Tracker: Joint Learning of Target Localization and Proposal Generation for Visual Tracking. 708-715 - Chuanqi Dong, Wenbin Li, Jing Huo, Zheng Gu, Yang Gao:
Learning Task-aware Local Representations for Few-shot Learning. 716-722 - Risheng Liu, Zi Li, Yuxi Zhang, Xin Fan, Zhongxuan Luo:
Bi-level Probabilistic Feature Learning for Deformable Image Registration. 723-730 - Yingruo Fan, Zhaojiang Lin:
G2RL: Geometry-Guided Representation Learning for Facial Action Unit Intensity Estimation. 731-737 - Chao Li, Baolin Liu, Jianguo Wei:
Visual Encoding and Decoding of the Human Brain Based on Shared Features. 738-744 - Ganchao Tan, Daqing Liu, Meng Wang, Zheng-Jun Zha:
Learning to Discretely Compose Reasoning Module Networks for Video Captioning. 745-752 - Haoze Wu, Jiawei Liu, Xierong Zhu, Meng Wang, Zheng-Jun Zha:
Multi-Scale Spatial-Temporal Integration Convolutional Tube for Human Action Recognition. 753-759 - Chengwei Chen, Jing Liu, Yuan Xie, Yin Xiao Ban, Chunyun Wu, Yiqing Tao, Haichuan Song:
Latent Regularized Generative Dual Adversarial Network For Abnormal Detection. 760-766 - Longteng Guo, Jing Liu, Xinxin Zhu, Xingjian He, Jie Jiang, Hanqing Lu:
Non-Autoregressive Image Captioning with Counterfactuals-Critical Multi-Agent Learning. 767-773 - Jiping Zheng, Ganfeng Lu:
k-SDPP: Fixed-Size Video Summarization via Sequential Determinantal Point Processes. 774-781 - Shengyuan Liu, Pei Lv, Yuzhen Zhang, Jie Fu, Junjin Cheng, Wanqing Li, Bing Zhou, Mingliang Xu:
Semi-Dynamic Hypergraph Neural Network for 3D Pose Estimation. 782-788 - Gege Zhang, Qinghua Ma, Licheng Jiao, Fang Liu, Qigong Sun:
AttAN: Attention Adversarial Networks for 3D Point Cloud Semantic Segmentation. 789-796 - Xu Ma, Song Fu:
Position-Aware Recalibration Module: Learning From Feature Semantics and Feature Position. 797-803 - Yuqing Ma, Shihao Bai, Shan An, Wei Liu, Aishan Liu, Xiantong Zhen, Xianglong Liu:
Transductive Relation-Propagation Network for Few-shot Learning. 804-810 - Yuqing Ma, Wei Liu, Shihao Bai, Qingyu Zhang, Aishan Liu, Weimin Chen, Xianglong Liu:
Few-shot Visual Learning with Contextual Memory and Fine-grained Calibration. 811-817 - Thao Minh Le, Vuong Le, Svetha Venkatesh, Truyen Tran:
Dynamic Language Binding in Relational Visual Reasoning. 818-824 - Lixin Fan, Kam Woh Ng, Ce Ju, Tianyu Zhang, Chee Seng Chan:
Deep Polarized Network for Supervised Learning of Accurate Binary Hashing Codes. 825-831 - Zhen-Liang Ni, Gui-Bin Bian, Guan'an Wang, Xiao-Hu Zhou, Zeng-Guang Hou, Xiao-Liang Xie, Zhen Li, Yu-Han Wang:
BARNet: Bilinear Attention Network with Adaptive Receptive Fields for Surgical Instrument Segmentation. 832-838 - Heyu Zhou, Weizhi Nie, Wenhui Li, Dan Song, An-An Liu:
Hierarchical Instance Feature Alignment for 2D Image-Based 3D Shape Retrieval. 839-845 - Chuanqi Zang, Mingtao Pei, Yu Kong:
Few-shot Human Motion Prediction via Learning Novel Motion Dynamics. 846-852 - Weiwei Wang, Yuming Shen, Haofeng Zhang, Yazhou Yao, Li Liu:
Set and Rebase: Determining the Semantic Graph Connectivity for Unsupervised Cross-Modal Hashing. 853-859 - Mennatullah Siam, Naren Doraiswamy, Boris N. Oreshkin, Hengshuai Yao, Martin Jägersand:
Weakly Supervised Few-shot Object Segmentation using Co-Attention with Visual and Semantic Embeddings. 860-867 - Hongwei Xie, Yafei Song, Ling Cai, Mingyang Li:
Overflow Aware Quantization: Accelerating Neural Network Inference by Low-bit Multiply-Accumulate Operations. 868-875 - Celia Cintas, Skyler Speakman, Victor Akinwande, William Ogallo, Komminist Weldemariam, Srihari Sridharan, Edward McFowland:
Detecting Adversarial Attacks via Subset Scanning of Autoencoder Activations and Reconstruction Error. 876-882 - Yuting Su, Yuqian Li, Dan Song, Weizhi Nie, Wenhui Li, An-An Liu:
Consistent Domain Structure Learning and Domain Alignment for 2D Image-Based 3D Objects Retrieval. 883-889 - Yubo Zhang, Hao Tan, Mohit Bansal:
Diagnosing the Environment Bias in Vision-and-Language Navigation. 890-897 - Haocong Rao, Siqi Wang, Xiping Hu, Mingkui Tan, Huang Da, Jun Cheng, Bin Hu:
Self-Supervised Gait Encoding with Locality-Aware Attention for Person Re-Identification. 898-905 - Licheng Zhang, Xianzhi Wang, Lina Yao, Lin Wu, Feng Zheng:
Zero-Shot Object Detection via Learning an Embedding from Semantic Space to Visual Space. 906-912 - Jinjia Peng, Yang Wang, Huibing Wang, Zhao Zhang, Xianping Fu, Meng Wang:
Unsupervised Vehicle Re-identification with Progressive Adaptation. 913-919 - Dan Guo, Yang Wang, Peipei Song, Meng Wang:
Recurrent Relational Memory Network for Unsupervised Image Captioning. 920-926 - Ruixin Liu, Zhenyu Weng, Yuesheng Zhu, Bairong Li:
Temporal Adaptive Alignment Network for Deep Video Inpainting. 927-933 - Pin Jiang, Aming Wu, Yahong Han, Yunfeng Shao, Meiyu Qi, Bingshuai Li:
Bidirectional Adversarial Training for Semi-Supervised Domain Adaptation. 934-940 - Kai Shen, Lingfei Wu, Fangli Xu, Siliang Tang, Jun Xiao, Yueting Zhuang:
Hierarchical Attention Based Spatial-Temporal Graph-to-Sequence Learning for Grounded Video Description. 941-947 - Ke Ning, Lingxi Xie, Fei Wu, Qi Tian:
Polar Relative Positional Encoding for Video-Language Segmentation. 948-954 - Yanzhao Xie, Yu Liu, Yangtao Wang, Lianli Gao, Peng Wang, Ke Zhou:
Label-Attended Hashing for Multi-Label Image Retrieval. 955-962 - Mingkang Xiong, Zhenghong Zhang, Weilin Zhong, Jinsheng Ji, Jiyuan Liu, Huilin Xiong:
Self-supervised Monocular Depth and Visual Odometry Learning with Scale-consistent Geometric Constraints. 963-969 - Zixiang Zhao, Shuang Xu, Chunxia Zhang, Junmin Liu, Jiangshe Zhang, Pengfei Li:
DIDFuse: Deep Image Decomposition for Infrared and Visible Image Fusion. 970-976 - Yuhui Xu, Yuxi Li, Shuai Zhang, Wei Wen, Botao Wang, Yingyong Qi, Yiran Chen, Weiyao Lin, Hongkai Xiong:
TRP: Trained Rank Pruning for Efficient Deep Neural Networks. 977-983 - Xinxun Xu, Muli Yang, Yanhua Yang, Hao Wang:
Progressive Domain-Independent Feature Decomposition Network for Zero-Shot Sketch-Based Image Retrieval. 984-990 - Zhihui Lin, Chun Yuan, Maomao Li:
HAF-SVG: Hierarchical Stochastic Video Generation with Aligned Features. 991-997 - Jiayin Cai, Chun Yuan, Cheng Shi, Lei Li, Yangyang Cheng, Ying Shan:
Feature Augmented Memory with Global Attention Network for VideoQA. 998-1004 - Zerun Feng, Zhimin Zeng, Caili Guo, Zheng Li:
Exploiting Visual Semantic Reasoning for Video-Text Retrieval. 1005-1011 - Jiawei Liu, Zheng-Jun Zha, Xierong Zhu, Na Jiang:
Co-Saliency Spatio-Temporal Interaction Network for Person Re-Identification in Videos. 1012-1018 - Kai Zhu, Wei Zhai, Yang Cao:
Self-Supervised Tuning for Few-Shot Segmentation. 1019-1025 - Mengxi Jia, Yunpeng Zhai, Shijian Lu, Siwei Ma, Jian Zhang:
A Similarity Inference Metric for RGB-Infrared Cross-Modality Person Re-identification. 1026-1032 - Li'an Zhuo, Baochang Zhang, Hanlin Chen, Linlin Yang, Chen Chen, Yanjun Zhu, David S. Doermann:
CP-NAS: Child-Parent Neural Architecture Search for 1-bit CNNs. 1033-1039 - Haifeng Zhang, Wen Su, Jun Yu, Zengfu Wang:
Weakly Supervised Local-Global Relation Network for Facial Expression Recognition. 1040-1046 - Qinming Zhang, Luyan Liu, Kai Ma, Cheng Zhuo, Yefeng Zheng:
Cross-denoising Network against Corrupted Labels in Medical Image Segmentation with Domain Shift. 1047-1053 - Hongrui Zhao, Jin Yu, Yanan Li, Donghui Wang, Jie Liu, Hongxia Yang, Fei Wu:
Dress like an Internet Celebrity: Fashion Retrieval in Videos. 1054-1060 - Wentian Zhao, Seokhwan Kim, Ning Xu, Hailin Jin:
Video Question Answering on Screencast Tutorials. 1061-1068 - Zhu Zhang, Zhou Zhao, Zhijie Lin, Baoxing Huai, Jing Yuan:
Object-Aware Multi-Branch Relation Networks for Spatio-Temporal Video Grounding. 1069-1075 - Zhedong Zheng, Yi Yang:
Unsupervised Scene Adaptation with Memory Regularization in vivo. 1076-1082 - Xi Zhu, Zhendong Mao, Chunxiao Liu, Peng Zhang, Bin Wang, Yongdong Zhang:
Overcoming Language Priors with Self-supervised Learning for Visual Question Answering. 1083-1089 - Yaohui Zhu, Chenlong Liu, Shuqiang Jiang:
Multi-attention Meta Learning for Few-shot Fine-grained Image Recognition. 1090-1096 - Zihao Zhu, Jing Yu, Yujing Wang, Yajing Sun, Yue Hu, Qi Wu:
Mucko: Multi-Layer Cross-Modal Knowledge Reasoning for Fact-based Visual Question Answering. 1097-1103 - Xue Lin, Qi Zou, Xixia Xu:
Action-Guided Attention Mining and Relation Reasoning Network for Human-Object Interaction Detection. 1104-1110 - Dongming Yang, Yuexian Zou:
A Graph-based Interactive Reasoning for Human-Object Interaction Detection. 1111-1117
Constraints and SAT
- Julien Baste, Michael R. Fellows, Lars Jaffke, Tomás Masarík, Mateus de Oliveira Oliveira, Geevarghese Philip, Frances A. Rosamond:
Diversity of Solutions: An Exploration Through the Lens of Fixed-Parameter Tractability Theory. 1119-1125 - Xizhe Zhang, Jian Gao, Yizhi Lv, Weixiong Zhang:
Early and Efficient Identification of Useless Constraint Propagation for Alldifferent Constraints. 1126-1133 - Stephan Gocht, Ciaran McCreesh, Jakob Nordström:
Subgraph Isomorphism Meets Cutting Planes: Solving With Certified Solutions. 1134-1140 - Zhendong Lei, Shaowei Cai, Chuan Luo:
Extended Conjunctive Normal Form and An Efficient Algorithm for Cardinality Constraints. 1141-1147 - Daniel Le Berre, Pierre Marquis, Stefan Mengel, Romain Wallon:
On Irrelevant Literals in Pseudo-Boolean Constraint Learning. 1148-1154 - Georg Gottlob, Cem Okulmus, Reinhard Pichler:
Fast and Parallel Decomposition of Constraint Satisfaction Problems. 1155-1162 - Marc-André Ménard, Claude-Guy Quimper, Jonathan Gaudreault:
Learning Sensitivity of RCPSP by Analyzing the Search Process. 1163-1169 - Hao Hu, Mohamed Siala, Emmanuel Hebrard, Marie-José Huguet:
Learning Optimal Decision Trees with MaxSAT and its Integration in AdaBoost. 1170-1176 - Wenjie Zhang, Zeyu Sun, Qihao Zhu, Ge Li, Shaowei Cai, Yingfei Xiong, Lu Zhang:
NLocalSAT: Boosting Local Search with Solution Prediction. 1177-1183 - Ruiwei Wang, Roland H. C. Yap:
Bipartite Encoding: A New Binary Encoding for Solving Non-Binary CSPs. 1184-1191 - Jimmy Ho-Man Lee, Allen Z. Zhong:
Automatic Dominance Breaking for a Class of Constraint Optimization Problems. 1192-1200
Data Mining
- Debarun Bhattacharjya, Tian Gao, Nicholas Mattei, Dharmashankar Subramanian:
Cause-Effect Association between Event Pairs in Event Datasets. 1202-1208 - Yu Hao, Xin Cao, Yixiang Fang, Xike Xie, Sibo Wang:
Inductive Link Prediction for Nodes Having Only Attribute Information. 1209-1215 - Xuefeng Chen, Xin Cao, Yifeng Zeng, Yixiang Fang, Bin Yao:
Optimal Region Search with Submodular Maximization. 1216-1222 - Hong Yang, Ling Chen, Minglong Lei, Lingfeng Niu, Chuan Zhou, Peng Zhang:
Discrete Embedding for Latent Networks. 1223-1229 - Yu Chen, Lingfei Wu, Mohammed J. Zaki:
GraphFlow: Exploiting Conversation Flow with Graph Neural Networks for Conversational Machine Comprehension. 1230-1236 - Hong Huang, Zixuan Fang, Xiao Wang, Youshan Miao, Hai Jin:
Motif-Preserving Temporal Network Embedding. 1237-1243 - Adam Goodge, Bryan Hooi, See-Kiong Ng, Wee Siong Ng:
Robustness of Autoencoders for Anomaly Detection Under Adversarial Impact. 1244-1250 - Pinghua Xu, Wenbin Hu, Jia Wu, Weiwei Liu:
Opinion Maximization in Social Trust Networks. 1251-1257 - Zhichao Huang, Xutao Li, Yunming Ye, Michael K. Ng:
MR-GCN: Multi-Relational Graph Convolutional Networks based on Generalized Tensor Product. 1258-1264 - Yacine Izza, Saïd Jabbour, Badran Raddaoui, Abdelhamid Boudane:
On the Enumeration of Association Rules: A Decomposition-based Approach. 1265-1271 - Jian Sun, Hongyu Jia, Bo Hu, Xiao Huang, Hao Zhang, Hai Wan, Xibin Zhao:
Speeding up Very Fast Decision Tree with Low Computational Cost. 1272-1278 - Boyang Li, Yurong Cheng, Ye Yuan, Guoren Wang, Lei Chen:
Simultaneous Arrival Matching for New Spatial Crowdsourcing Platforms. 1279-1287 - Kaize Ding, Jundong Li, Nitin Agarwal, Huan Liu:
Inductive Anomaly Detection on Attributed Networks. 1288-1294 - Fan Zhou, Liang Li, Ting Zhong, Goce Trajcevski, Kunpeng Zhang, Jiahao Wang:
Enhancing Urban Flow Maps via Neural ODEs. 1295-1302 - Yiqing Xie, Sha Li, Carl Yang, Raymond Chi-Wing Wong, Jiawei Han:
When Do GNNs Work: Understanding and Improving Neighborhood Aggregation. 1303-1309 - Yongshun Gong, Zhibin Li, Jian Zhang, Wei Liu, Bei Chen, Xiangjun Dong:
A Spatial Missing Value Imputation Method for Multi-view Urban Statistical Data. 1310-1316 - Hanchen Wang, Defu Lian, Ying Zhang, Lu Qin, Xuemin Lin:
GoGNN: Graph of Graphs Neural Network for Predicting Structured Entity Interactions. 1317-1323 - Ziyu Jia, Youfang Lin, Jing Wang, Ronghao Zhou, Xiaojun Ning, Yuanlai He, Yaoshuai Zhao:
GraphSleepNet: Adaptive Spatial-Temporal Graph Convolutional Networks for Sleep Stage Classification. 1324-1330 - Jie Feng, Ziqian Lin, Tong Xia, Funing Sun, Diansheng Guo, Yong Li:
A Sequential Convolution Network for Population Flow Prediction with Explicitly Correlation Modelling. 1331-1337 - Man Luo, Wenzhe Zhang, Tianyou Song, Kun Li, Hongming Zhu, Bowen Du, Hongkai Wen:
Rebalancing Expanding EV Sharing Systems with Deep Reinforcement Learning. 1338-1344 - Avirup Saha, Shreyas Sheshadri, Samik Datta, Niloy Ganguly, Disha Makhija, Priyank Patel:
Understanding the Success of Graph-based Semi-Supervised Learning using Partially Labelled Stochastic Block Model. 1345-1351 - Kaixiong Zhou, Qingquan Song, Xiao Huang, Daochen Zha, Na Zou, Xia Hu:
Multi-Channel Graph Neural Networks. 1352-1358 - Peiyan Li, Honglian Wang, Christian Böhm, Junming Shao:
Online Semi-supervised Multi-label Classification with Label Compression and Local Smooth Regression. 1359-1365 - Jianan Zhao, Xiao Wang, Chuan Shi, Zekuan Liu, Yanfang Ye:
Network Schema Preserving Heterogeneous Information Network Embedding. 1366-1372 - Ximing Li, Yang Wang:
Recovering Accurate Labeling Information from Partially Valid Data for Effective Multi-Label Learning. 1373-1380 - Liang Yang, Yuexue Wang, Junhua Gu, Chuan Wang, Xiaochun Cao, Yuanfang Guo:
JANE: Jointly Adversarial Network Embedding. 1381-1387 - Lianwei Wu, Yuan Rao, Xiong Yang, Wanzhen Wang, Ambreen Nazir:
Evidence-Aware Hierarchical Interactive Attention Networks for Explainable Claim Verification. 1388-1394 - Shuo Zhang, Lei Xie:
Improving Attention Mechanism in Graph Neural Networks via Cardinality Preservation. 1395-1402 - Yang Gao, Hong Yang, Peng Zhang, Chuan Zhou, Yue Hu:
Graph Neural Architecture Search. 1403-1409 - Shuwen Yang, Guojie Song, Yilun Jin, Lun Du:
Domain Adaptive Classification on Heterogeneous Information Networks. 1410-1416 - Xiaoyu Yang, Yuefei Lyu, Tian Tian, Yifei Liu, Yudong Liu, Xi Zhang:
Rumor Detection on Social Media with Graph Structured Adversarial Learning. 1417-1423 - Yuqiao Yang, Xiaoqiang Lin, Geng Lin, Zengfeng Huang, Changjian Jiang, Zhongyu Wei:
Joint Representation Learning of Legislator and Legislation for Roll Call Prediction. 1424-1430 - Chenwei Zhang, Yaliang Li, Nan Du, Wei Fan, Philip S. Yu:
Entity Synonym Discovery via Multipiece Bilateral Context Matching. 1431-1437 - Fuxin Ren, Zhongbao Zhang, Jiawei Zhang, Sen Su, Li Sun, Guozhen Zhu, Congying Guo:
BANANA: when Behavior ANAlysis meets social Network Alignment. 1438-1444 - Yi Zhou, Zhe Wang, Kaiyi Ji, Yingbin Liang, Vahid Tarokh:
Proximal Gradient Algorithm with Momentum and Flexible Parameter Restart for Nonconvex Optimization. 1445-1451 - Hongmin Zhu, Fuli Feng, Xiangnan He, Xiang Wang, Yan Li, Kai Zheng, Yongdong Zhang:
Bilinear Graph Neural Network with Neighbor Interactions. 1452-1458
Heuristic Search and Game Playing
- Curtis Bright, Kevin K. H. Cheung, Brett Stevens, Ilias S. Kotsireas, Vijay Ganesh:
Unsatisfiability Proofs for Weight 16 Codewords in Lam's Problem. 1460-1466 - Shaowei Cai, Wenying Hou, Yiyuan Wang, Chuan Luo, Qingwei Lin:
Two-goal Local Search and Inference Rules for Minimum Dominating Set. 1467-1473 - Fei-Yu Liu, Zi-Niu Li, Chao Qian:
Self-Guided Evolution Strategies with Historical Estimated Gradients. 1474-1480 - Qingyun Zhang, Zhipeng Lü, Zhouxing Su, Chumin Li, Yuan Fang, Fuda Ma:
Vertex Weighting-Based Tabu Search for p-Center Problem. 1481-1487 - Andrea Madotto, Mahdi Namazifar, Joost Huizinga, Piero Molino, Adrien Ecoffet, Huaixiu Zheng, Alexandros Papangelis, Dian Yu, Chandra Khatri, Gökhan Tür:
Exploration Based Language Learning for Text-Based Games. 1488-1494 - Chuan Luo, Bo Qiao, Xin Chen, Pu Zhao, Randolph Yao, Hongyu Zhang, Wei Wu, Andrew Zhou, Qingwei Lin:
Intelligent Virtual Machine Provisioning in Cloud Computing. 1495-1502 - Bohan Li, Xindi Zhang, Shaowei Cai, Jinkun Lin, Yiyuan Wang, Christian Blum:
NuCDS: An Efficient Local Search Algorithm for Minimum Connected Dominating Set. 1503-1510
Humans and AI
- Zhijun Chen, Huimin Wang, Hailong Sun, Pengpeng Chen, Tao Han, Xudong Liu, Jie Yang:
Structured Probabilistic End-to-End Learning from Crowds. 1512-1518 - Xiang Cheng, Yunzhe Hao, Jiaming Xu, Bo Xu:
LISNN: Improving Spiking Neural Networks with Lateral Interactions for Robust Object Recognition. 1519-1525 - Bryan Wilder, Eric Horvitz, Ece Kamar:
Learning to Complement Humans. 1526-1533 - Jiyi Li, Yasushi Kawase, Yukino Baba, Hisashi Kashima:
Performance as a Constraint: An Improved Wisdom of Crowds Using Performance Regularization. 1534-1541 - Li'ang Yin, Yunfei Liu, Weinan Zhang, Yong Yu:
Aggregating Crowd Wisdom with Side Information via a Clustering-based Label-aware Autoencoder. 1542-1548 - David Sarne, Chen Rozenshtein:
Incorporating Failure Events in Agents' Decision Making to Improve User Satisfaction. 1549-1555 - David Sarne, Chen Rozenshtein:
Incorporating Failure Events in Agents' Decision Making to Improve User Satisfaction. 1556-1562 - Feilong Tang:
Optimal Complex Task Assignment in Service Crowdsourcing. 1563-1569 - Zhijie Fang, Weiqun Wang, Shixin Ren, Jiaxing Wang, Weiguo Shi, Xu Liang, Chen-Chen Fan, Zeng-Guang Hou:
Learning Regional Attention Convolutional Neural Network for Motion Intention Recognition Based on EEG Data. 1570-1576 - Yunfei Liu, Yang Yang, Xianyu Chen, Jian Shen, Haifeng Zhang, Yong Yu:
Improving Knowledge Tracing via Pre-training Question Embeddings. 1577-1583
Knowledge Representation and Reasoning
- Abhijin Adiga, Sarit Kraus, Oleg Maksimov, S. S. Ravi:
Boolean Games: Inferring Agents' Goals Using Taxation Queries. 1585-1591 - Stuart Armstrong, Jan Leike, Laurent Orseau, Shane Legg:
Pitfalls of Learning a Reward Function Online. 1592-1600 - Fadi Badra:
A Dataset Complexity Measure for Analogical Transfer. 1601-1607 - Meghyn Bienvenu, Quentin Manière, Michaël Thomazo:
Answering Counting Queries over DL-Lite Ontologies. 1608-1614 - Lasse Dissing, Thomas Bolander:
Implementing Theory of Mind on a Robot Using Dynamic Epistemic Logic. 1615-1621 - Robert Bredereck, Lilian Jacobs, Leon Kellerhals:
Maximizing the Spread of an Opinion in Few Steps: Opinion Diffusion in Non-Binary Networks. 1622-1628 - Prantik Chatterjee, Abhijit Chatterjee, José Campos, Rui Abreu, Subhajit Roy:
Diagnosing Software Faults Using Multiverse Analysis. 1629-1635 - Patrick Koopmann, Jieying Chen:
Deductive Module Extraction for Expressive Description Logics. 1636-1643 - Junyou Li, Gong Cheng, Qingxia Liu, Wen Zhang, Evgeny Kharlamov, Kalpa Gunaratna, Huajun Chen:
Neural Entity Summarization with Joint Encoding and Weak Supervision. 1644-1650 - Ondrej Cepek, Milos Chromý:
Switch-List Representations in a Knowledge Compilation Map. 1651-1657 - Diego Calvanese, Julien Corman, Davide Lanti, Simon Razniewski:
Counting Query Answers over a DL-Lite Knowledge Base. 1658-1666 - Dennis Craandijk, Floris Bex:
Deep Learning for Abstract Argumentation Semantics. 1667-1673 - Benjamin Aminof, Giuseppe De Giacomo, Alessio Lomuscio, Aniello Murano, Sasha Rubin:
Synthesizing strategies under expected and exceptional environment behaviors. 1674-1680 - Bartosz Bednarczyk, Stéphane Demri, Alessio Mansutti:
A Framework for Reasoning about Dynamic Axioms in Description Logics. 1681-1687 - Bernardo Cuteri, Carmine Dodaro, Francesco Ricca, Peter Schüller:
Overcoming the Grounding Bottleneck Due to Constraints in ASP Solving: Constraints Become Propagators. 1688-1694 - Heshan Du, Natasha Alechina, Anthony G. Cohn:
A Logic of Directions. 1695-1702 - Kaisheng Wu, Liangda Fang, Liping Xiong, Zhao-Rong Lai, Yong Qiao, Kaidong Chen, Fei Rong:
Automatic Synthesis of Generalized Winning Strategies of Impartial Combinatorial Games Using SMT Solvers. 1703-1711 - Bettina Fazzinga, Sergio Flesca, Filippo Furfaro:
Revisiting the Notion of Extension over Incomplete Abstract Argumentation Frameworks. 1712-1718 - Bartosz Bednarczyk, Robert Ferens, Piotr Ostropolski-Nalewaja:
All-Instances Oblivious Chase Termination is Undecidable for Single-Head Binary TGDs. 1719-1725 - Hubie Chen, Georg Gottlob, Matthias Lanzinger, Reinhard Pichler:
Semantic Width and the Fixed-Parameter Tractability of Constraint Satisfaction Problems. 1726-1733 - Rachael Colley, Umberto Grandi, Arianna Novaro:
Smart Voting. 1734-1740 - Robert Ganian, Thekla Hamm, Guillaume Mescoff:
The Complexity Landscape of Resource-Constrained Scheduling. 1741-1747 - Shuxin Li, Zixian Huang, Gong Cheng, Evgeny Kharlamov, Kalpa Gunaratna:
Enriching Documents with Compact, Representative, Relevant Knowledge Graphs. 1748-1754 - Zhun Yang, Adam Ishay, Joohyung Lee:
NeurASP: Embracing Neural Networks into Answer Set Programming. 1755-1762 - Patricia Everaere, Sébastien Konieczny, Pierre Marquis:
Belief Merging Operators as Maximum Likelihood Estimators. 1763-1769 - Nicolas Schwind, Sébastien Konieczny, Jean-Marie Lagniez, Pierre Marquis:
On Computational Aspects of Iterated Belief Change. 1770-1776 - David Carral, Markus Krötzsch:
Rewriting the Description Logic ALCHIQ to Disjunctive Existential Rules. 1777-1783 - Peter Jonsson, Victor Lagerkvist:
Lower Bounds and Faster Algorithms for Equality Constraints. 1784-1790 - Gianluca Cima, Domenico Lembo, Riccardo Rosati, Domenico Fabio Savo:
Controlled Query Evaluation in Description Logics Through Instance Indistinguishability. 1791-1797 - Fei Liang, Zhe Lin:
On the Decidability of Intuitionistic Tense Logic without Disjunction. 1798-1804 - Zhaoshuai Liu, Liping Xiong, Yongmei Liu, Yves Lespérance, Ronghai Xu, Hongyi Shi:
A Modal Logic for Joint Abilities under Strategy Commitments. 1805-1812 - Michael Sioutis, Zhiguo Long, Tomi Janhunen:
On Robustness in Qualitative Constraint Networks. 1813-1819 - Özgür Lütfü Özçep, Mena Leemhuis, Diedrich Wolter:
Cone Semantics for Logics with Negation. 1820-1826 - Anneke Haga, Carsten Lutz, Johannes Marti, Frank Wolter:
A Journey into Ontology Approximation: From Non-Horn to Horn. 1827-1833 - Alexis de Colnet, Stefan Mengel:
Lower Bounds for Approximate Knowledge Compilation. 1834-1840 - Marcello D'Agostino, Sanjay Modgil:
A Fully Rational Account of Structured Argumentation Under Resource Bounds. 1841-1847 - Pierre-Alexandre Murena, Marie Al-Ghossein, Jean-Louis Dessalles, Antoine Cornuéjols:
Solving Analogies on Words based on Minimal Complexity Transformation. 1848-1854 - Andreas Niskanen, Daniel Neugebauer, Matti Järvisalo:
Controllability of Control Argumentation Frameworks. 1855-1861 - Camille Bourgaux, Ana Ozaki, Rafael Peñaloza, Livia Predoiu:
Provenance for the Description Logic ELHr. 1862-1869 - Cosimo Persia, Ana Ozaki:
On the Learnability of Possibilistic Theories. 1870-1876 - Bastien Maubert, Sophie Pinchinat, François Schwarzentruber, Silvia Stranieri:
Concurrent Games in Dynamic Epistemic Logic. 1877-1883 - Stéphanie Roussel, Xavier Pucel, Valentin Bouziat, Louise Travé-Massuyès:
Model-Based Synthesis of Incremental and Correct Estimators for Discrete Event Systems. 1884-1890 - Yakoub Salhi:
Inconsistency Measurement for Improving Logical Formula Clustering. 1891-1897 - Robert Ganian, André Schidler, Manuel Sorge, Stefan Szeider:
Threshold Treewidth and Hypertree Width. 1898-1904 - Pengyu Zhao, Tianxiao Shui, Yuanxing Zhang, Kecheng Xiao, Kaigui Bian:
Adversarial Oracular Seq2seq Learning for Sequential Recommendation. 1905-1911 - Dragan Doder, Srdjan Vesic, Madalina Croitoru:
Ranking Semantics for Argumentation Systems With Necessities. 1912-1918 - Przemyslaw Andrzej Walega, Bernardo Cuenca Grau, Mark Kaminski, Egor V. Kostylev:
Tractable Fragments of Datalog with Metric Temporal Operators. 1919-1925 - Guojia Wan, Shirui Pan, Chen Gong, Chuan Zhou, Gholamreza Haffari:
Reasoning Like Human: Hierarchical Reinforcement Learning for Knowledge Graph Reasoning. 1926-1932 - Zhe Wang, Peng Xiao, Kewen Wang, Zhiqiang Zhuang, Hai Wan:
Query Answering for Existential Rules via Efficient Datalog Rewriting. 1933-1939 - Heng Zhang, Yan Zhang, Guifei Jiang:
Model-theoretic Characterizations of Existential Rule Languages. 1940-1946
Machine Learning
- Eden Abadi, Ronen I. Brafman:
Learning and Solving Regular Decision Processes. 1948-1954 - Yusuke Iwasawa, Kei Akuzawa, Yutaka Matsuo:
Stabilizing Adversarial Invariance Induction from Divergence Minimization Perspective. 1955-1962 - Raman Sankaran, Francis R. Bach, Chiranjib Bhattacharyya:
Learning With Subquadratic Regularization : A Primal-Dual Approach. 1963-1969 - Ege Beyazit, Doruk Tuncel, Xu Yuan, Nian-Feng Tzeng, Xindong Wu:
Learning Interpretable Representations with Informative Entanglements. 1970-1976 - Debarun Bhattacharjya, Tian Gao, Dharmashankar Subramanian:
Order-Dependent Event Models for Agent Interactions. 1977-1983 - Roman Bresson, Johanne Cohen, Eyke Hüllermeier, Christophe Labreuche, Michèle Sebag:
Neural Representation and Learning of Hierarchical 2-additive Choquet Integrals. 1984-1991 - Ling Pan, Qingpeng Cai, Qi Meng, Wei Chen, Longbo Huang:
Reinforcement Learning with Dynamic Boltzmann Softmax Updates. 1992-1998 - Yifan Hao, Huiping Cao:
A New Attention Mechanism to Classify Multivariate Time Series. 1999-2005 - Biagio La Rosa, Roberto Capobianco, Daniele Nardi:
Explainable Inference on Sequential Data via Memory-Tracking. 2006-2013 - Shizhen Chang, Bo Du, Liangpei Zhang:
Positive Unlabeled Learning with Class-prior Approximation. 2014-2021 - Nirbhay Modhe, Prithvijit Chattopadhyay, Mohit Sharma, Abhishek Das, Devi Parikh, Dhruv Batra, Ramakrishna Vedantam:
IR-VIC: Unsupervised Discovery of Sub-goals for Transfer in RL. 2022-2028 - Wenchao Chen, Bo Chen, Yicheng Liu, Qianru Zhao, Mingyuan Zhou:
Switching Poisson Gamma Dynamical Systems. 2029-2036 - Gehui Shen, Xi Chen, Zhi-Hong Deng:
Variational Learning of Bayesian Neural Networks via Bayesian Dark Knowledge. 2037-2043 - Xiaozhou Wang, Xi Chen, Qihang Lin, Weidong Liu:
Bayesian Decision Process for Budget-efficient Crowdsourced Clustering. 2044-2050 - Niklas Åkerblom, Yuxin Chen, Morteza Haghir Chehreghani:
An Online Learning Framework for Energy-Efficient Navigation of Electric Vehicles. 2051-2057 - Ziye Chen, Mingming Gong, Lingjuan Ge, Bo Du:
Compressed Self-Attention for Deep Metric Learning with Low-Rank Approximation. 2058-2064 - Hsuan-Kung Yang, Po-Han Chiang, Min-Fong Hong, Chun-Yi Lee:
Flow-based Intrinsic Curiosity Module. 2065-2072 - Andrew Cropper, Sebastijan Dumancic:
Learning Large Logic Programs By Going Beyond Entailment. 2073-2079 - Yufei Cui, Ziquan Liu, Wuguannan Yao, Qiao Li, Antoni B. Chan, Tei-Wei Kuo, Chun Jason Xue:
Fully Nested Neural Network for Adaptive Compression and Quantization. 2080-2087 - Yaoming Wang, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong:
SI-VDNAS: Semi-Implicit Variational Dropout for Hierarchical One-shot Neural Architecture Search. 2088-2095 - Enmin Zhao, Shihong Deng, Yifan Zang, Yongxin Kang, Kai Li, Junliang Xing:
Potential Driven Reinforcement Learning for Hard Exploration Tasks. 2096-2102 - Sayak Dey, Swagatam Das, Rammohan Mallipeddi:
The Sparse MinMax k-Means Algorithm for High-Dimensional Clustering. 2103-2110 - Tuan Hoang, Thanh-Toan Do, Tam V. Nguyen, Ngai-Man Cheung:
Direct Quantization for Training Highly Accurate Low Bit-width Deep Neural Networks. 2111-2118 - Michele Donini, Luca Franceschi, Orchid Majumder, Massimiliano Pontil, Paolo Frasconi:
Marthe: Scheduling the Learning Rate Via Online Hypergradients. 2119-2125 - George Dasoulas, Ludovic Dos Santos, Kevin Scaman, Aladin Virmaux:
Coloring Graph Neural Networks for Node Disambiguation. 2126-2132 - Peng Zhou, Liang Du, Xuejun Li:
Self-paced Consensus Clustering with Bipartite Graph. 2133-2139 - Maxime Wabartha, Audrey Durand, Vincent François-Lavet, Joelle Pineau:
Handling Black Swan Events in Deep Learning with Diversely Extrapolated Neural Networks. 2140-2147 - Christoph Dürr, Kim Thang Nguyen, Abhinav Srivastav, Léo Tible:
Non-monotone DR-submodular Maximization over General Convex Sets. 2148-2154 - Rémi Viola, Rémi Emonet, Amaury Habrard, Guillaume Metzler, Marc Sebban:
Learning from Few Positives: a Provably Accurate Metric Learning Algorithm to Deal with Imbalanced Data. 2155-2161 - Tanguy Kerdoncuff, Rémi Emonet, Marc Sebban:
Metric Learning in Optimal Transport for Domain Adaptation. 2162-2168 - Fei Mi, Boi Faltings:
Memory Augmented Neural Model for Incremental Session-based Recommendation. 2169-2176 - Xiao Wang, Shaohua Fan, Kun Kuang, Chuan Shi, Jiawei Liu, Bai Wang:
Decorrelated Clustering with Data Selection Bias. 2177-2183 - Dingqi Yang, Benjamin Fankhauser, Paolo Rosso, Philippe Cudré-Mauroux:
Location Prediction over Sparse User Mobility Traces Using RNNs: Flashback in Hidden States! 2184-2190 - Bahare Fatemi, Perouz Taslakian, David Vázquez, David Poole:
Knowledge Hypergraphs: Prediction Beyond Binary Relations. 2191-2197 - Dieqiao Feng, Carla P. Gomes, Bart Selman:
Solving Hard AI Planning Instances Using Curriculum-Driven Deep Reinforcement Learning. 2198-2205 - Lei Feng, Senlin Shu, Zhuoyi Lin, Fengmao Lv, Li Li, Bo An:
Can Cross Entropy Loss Be Robust to Label Noise? 2206-2212 - Rajarshi Roy, Dana Fisman, Daniel Neider:
Learning Interpretable Models in the Property Specification Language. 2213-2219 - Tomás Kocák, Aurélien Garivier:
Best Arm Identification in Spectral Bandits. 2220-2226 - Tao Shen, Xiubo Geng, Guodong Long, Jing Jiang, Chengqi Zhang, Daxin Jiang:
Effective Search of Logical Forms for Weakly Supervised Knowledge-Based Question Answering. 2227-2233 - Gabriele Ciravegna, Francesco Giannini, Marco Gori, Marco Maggini, Stefano Melacci:
Human-Driven FOL Explanations of Deep Learning. 2234-2240 - Frank Nussbaum, Joachim Giesen:
Disentangling Direct and Indirect Interactions in Polytomous Item Response Theory Models. 2241-2247 - Chuang Zhang, Chen Gong, Tengfei Liu, Xun Lu, Weiqiang Wang, Jian Yang:
Online Positive and Unlabeled Learning. 2248-2254 - Priyadarshini Kumari, Ritesh Goru, Siddhartha Chaudhuri, Subhasis Chaudhuri:
Batch Decorrelation for Active Metric Learning. 2255-2261 - Vincent Grari, Sylvain Lamprier, Marcin Detyniecki:
Fairness-Aware Neural Rényi Minimization for Continuous Features. 2262-2268 - Zhongyi Han, Xian-Jin Gui, Chaoran Cui, Yilong Yin:
Towards Accurate and Robust Domain Adaptation under Noisy Environments. 2269-2276 - Padala Manisha, Sujit Gujar:
FNNC: Achieving Fairness through Neural Networks. 2277-2283 - Julian Berk, Sunil Gupta, Santu Rana, Svetha Venkatesh:
Randomised Gaussian Process Upper Confidence Bound for Bayesian Optimisation. 2284-2290 - Peng Zhang, Jianye Hao, Weixun Wang, Hongyao Tang, Yi Ma, Yihai Duan, Yan Zheng:
KoGuN: Accelerating Deep Reinforcement Learning via Integrating Human Suboptimal Knowledge. 2291-2297 - Weixiang Xu, Xiangyu He, Tianli Zhao, Qinghao Hu, Peisong Wang, Jian Cheng:
Soft Threshold Ternary Networks. 2298-2304 - Alexander Schulz, Fabian Hinder, Barbara Hammer:
DeepView: Visualizing Classification Boundaries of Deep Neural Networks as Scatter Plots Using Discriminative Dimensionality Reduction. 2305-2311 - Céline Hocquette, Stephen H. Muggleton:
Complete Bottom-Up Predicate Invention in Meta-Interpretive Learning. 2312-2318 - Nicholas Hoernle, Kobi Gal, Barbara J. Grosz, Leilah Lyons, Ada Ren, Andee Rubin:
Interpretable Models for Understanding Immersive Simulations. 2319-2325 - Weijun Hong, Guilin Li, Weinan Zhang, Ruiming Tang, Yunhe Wang, Zhenguo Li, Yong Yu:
DropNAS: Grouped Operation Dropout for Differentiable Architecture Search. 2326-2332 - Shoujin Wang, Liang Hu, Yan Wang, Quan Z. Sheng, Mehmet A. Orgun, Longbing Cao:
Intention2Basket: A Neural Intention-driven Approach for Dynamic Next-basket Planning. 2333-2339 - Qian Li, Qingyuan Hu, Yong Qi, Saiyu Qi, Jie Ma, Jian Zhang:
Stochastic Batch Augmentation with An Effective Distilled Dynamic Soft Label Regularizer. 2340-2346 - Peng Wei, Guoliang Hua, Weibo Huang, Fanyang Meng, Hong Liu:
Unsupervised Monocular Visual-inertial Odometry Network. 2347-2354 - Rongzhou Huang, Chuyin Huang, Yubao Liu, Genan Dai, Weiyang Kong:
LSGCN: Long Short-Term Traffic Prediction with Graph Convolutional Networks. 2355-2361 - Hao Zhu, Huaibo Huang, Yi Li, Aihua Zheng, Ran He:
Arbitrary Talking Face Generation via Attentional Audio-Visual Coherence Learning. 2362-2368 - Fangwen Zhang, Xiuyi Jia, Weiwei Li:
Tensor-based multi-view label enhancement for multi-label learning. 2369-2375 - Wenfang Zhu, Xiuyi Jia, Weiwei Li:
Privileged label enhancement with multi-label learning. 2376-2382 - Teng Zhang, Hai Jin:
Optimal Margin Distribution Machine for Multi-Instance Learning. 2383-2389 - Naoya Takeishi, Yoshinobu Kawahara:
Knowledge-Based Regularization in Generative Modeling. 2390-2396 - Tuan Dam, Pascal Klink, Carlo D'Eramo, Jan Peters, Joni Pajarinen:
Generalized Mean Estimation in Monte-Carlo Tree Search. 2397-2404 - Subhadeep Maji, Rohan Kumar, Manish Bansal, Kalyani Roy, Pawan Goyal:
Logic Constrained Pointer Networks for Interpretable Textual Similarity. 2405-2411 - Masahiro Kohjima, Takeshi Kurashima, Hiroyuki Toda:
Learning with Labeled and Unlabeled Multi-Step Transition Data for Recovering Markov Chain from Incomplete Transition Data. 2412-2419 - Zhen Wang, Chao Lan:
Towards a Hierarchical Bayesian Model of Multi-View Anomaly Detection. 2420-2426 - Trung-Hoang Le, Hady W. Lauw:
Synthesizing Aspect-Driven Recommendation Explanations from Reviews. 2427-2434 - Sehun Yu, Dongha Lee, Hwanjo Yu:
Convolutional Neural Networks with Compression Complexity Pooling for Out-of-Distribution Image Detection. 2435-2441 - Devendra Singh Chaplot, Lisa Lee, Ruslan Salakhutdinov, Devi Parikh, Dhruv Batra:
Embodied Multimodal Multitask Learning. 2442-2448 - Huiyuan Chen, Jing Li:
Neural Tensor Model for Learning Multi-Aspect Factors in Recommender Systems. 2449-2455 - Shibo Li, Wei W. Xing, Robert M. Kirby, Shandian Zhe:
Scalable Gaussian Process Regression Networks. 2456-2462 - Daoyuan Chen, Yaliang Li, Minghui Qiu, Zhen Wang, Bofang Li, Bolin Ding, Hongbo Deng, Jun Huang, Wei Lin, Jingren Zhou:
AdaBERT: Task-Adaptive BERT Compression with Differentiable Neural Architecture Search. 2463-2469 - Yaqiong Li, Xuhui Fan, Ling Chen, Bin Li, Zheng Yu, Scott A. Sisson:
Recurrent Dirichlet Belief Networks for interpretable Dynamic Relational Data Modelling. 2470-2476 - Haobo Wang, Zhao Li, Jiaming Huang, Pengrui Hui, Weiwei Liu, Tianlei Hu, Gang Chen:
Collaboration Based Multi-Label Propagation for Fraud Detection. 2477-2483 - Peng Han, Zhongxiao Li, Yong Liu, Peilin Zhao, Jing Li, Hao Wang, Shuo Shang:
Contextualized Point-of-Interest Recommendation. 2484-2490 - Zhengxu Yu, Shuxian Liang, Long Wei, Zhongming Jin, Jianqiang Huang, Deng Cai, Xiaofei He, Xian-Sheng Hua:
MaCAR: Urban Traffic Light Control via Active Multi-agent Communication and Action Rectification. 2491-2497 - Xiao Zhang, Shizhong Liao:
Hypothesis Sketching for Online Kernel Selection in Continuous Kernel Space. 2498-2504 - Ishan Durugkar, Elad Liebman, Peter Stone:
Balancing Individual Preferences and Shared Objectives in Multiagent Reinforcement Learning. 2505-2511 - Jia Zhang, Yidong Lin, Min Jiang, Shaozi Li, Yong Tang, Kay Chen Tan:
Multi-label Feature Selection via Global Relevance and Redundancy Optimization. 2512-2518 - Ruobing Xie, Cheng Ling, Yalong Wang, Rui Wang, Feng Xia, Leyu Lin:
Deep Feedback Network for Recommendation. 2519-2525 - Yiyang Zhang, Feng Liu, Zhen Fang, Bo Yuan, Guangquan Zhang, Jie Lu:
Clarinet: A One-step Approach Towards Budget-friendly Unsupervised Domain Adaptation. 2526-2532 - Zihan Zhang, Mingxuan Liu, Chao Zhang, Yiming Zhang, Zhou Li, Qi Li, Haixin Duan, Donghong Sun:
Argot: Generating Adversarial Readable Chinese Texts. 2533-2539 - Renjun Xu, Pelen Liu, Yin Zhang, Fang Cai, Jindong Wang, Shuoying Liang, Heting Ying, Jianwei Yin:
Joint Partial Optimal Transport for Open Set Domain Adaptation. 2540-2546 - Yongqiao Wang, Xudong Liu:
Multivariate Probability Calibration with Isotonic Bernstein Polynomials. 2547-2553 - Huanle Xu, Yang Liu, Wing Cheong Lau, Rui Li:
Combinatorial Multi-Armed Bandits with Concave Rewards and Fairness Constraints. 2554-2560 - Yinan Zhang, Yong Liu, Peng Han, Chunyan Miao, Lizhen Cui, Baoli Li, Haihong Tang:
Learning Personalized Itemset Mapping for Cross-Domain Recommendation. 2561-2567 - Yun-Peng Liu, Ning Xu, Yu Zhang, Xin Geng:
Label Distribution for Learning with Noisy Labels. 2568-2574 - Zhaoyang Liu, Haokun Chen, Fei Sun, Xu Xie, Jinyang Gao, Bolin Ding, Yanyan Shen:
Intent Preference Decoupling for User Representation on Online Recommender System. 2575-2582 - Xiaotong Lu, Han Huang, Weisheng Dong, Xin Li, Guangming Shi:
Beyond Network Pruning: a Joint Search-and-Training Approach. 2583-2590 - Anjing Luo, Pengpeng Zhao, Yanchi Liu, Fuzhen Zhuang, Deqing Wang, Jiajie Xu, Junhua Fang, Victor S. Sheng:
Collaborative Self-Attention Network for Session-based Recommendation. 2591-2597 - Lei Luo, Jian Pei, Heng Huang:
Sinkhorn Regression. 2598-2604 - Yijing Luo, Bo Han, Chen Gong:
A Bi-level Formulation for Label Noise Learning with Spectral Cluster Discovery. 2605-2611 - Ziwei Li, Gengyu Lyu, Songhe Feng:
Partial Multi-Label Learning via Multi-Subspace Representation. 2612-2618 - Hang Li, Chen Ma, Wei Xu, Xue Liu:
Feature Statistics Guided Efficient Filter Pruning. 2619-2625 - Changsheng Li, Handong Ma, Zhao Kang, Ye Yuan, Xiaoyu Zhang, Guoren Wang:
On Deep Unsupervised Active Learning. 2626-2632 - Erik A. Daxberger, Anastasia Makarova, Matteo Turchetta, Andreas Krause:
Mixed-Variable Bayesian Optimization. 2633-2639 - André Gustavo Maletzke, Waqar Hassan, Denis Moreira dos Reis, Gustavo E. A. P. A. Batista:
The Importance of the Test Set Size in Quantification Assessment. 2640-2646 - Rati Devidze, Farnam Mansouri, Luis Haug, Yuxin Chen, Adish Singla:
Understanding the Power and Limitations of Teaching with Imperfect Knowledge. 2647-2654 - Johan Ferret, Raphaël Marinier, Matthieu Geist, Olivier Pietquin:
Self-Attentional Credit Assignment for Transfer in Reinforcement Learning. 2655-2661 - Jonathan Zarecki, Shaul Markovitch:
Textual Membership Queries. 2662-2668 - Xufang Luo, Qi Meng, Di He, Wei Chen, Yunhong Wang:
I4R: Promoting Deep Reinforcement Learning by the Indicator for Expressive Representations. 2669-2675 - Masataro Asai, Christian Muise:
Learning Neural-Symbolic Descriptive Planning Models via Cube-Space Priors: The Voyage Home (to STRIPS). 2676-2682 - Hien Nguyen, Hua Zhong, Mingzhou Song:
Optimality, Accuracy, and Efficiency of an Exact Functional Test. 2683-2689 - Deng Pan, Xiangrui Li, Xin Li, Dongxiao Zhu:
Explainable Recommendation via Interpretable Feature Mapping and Evaluation of Explainability. 2690-2696 - Zilun Peng, Ahmed Touati, Pascal Vincent, Doina Precup:
SVRG for Policy Evaluation with Fewer Gradient Evaluations. 2697-2703 - Luis A. Pérez Rey, Vlado Menkovski, Jim Portegies:
Diffusion Variational Autoencoders. 2704-2710 - Yannis Flet-Berliac, Philippe Preux:
Only Relevant Information Matters: Filtering Out Noisy Samples To Boost RL. 2711-2717 - Pinzhuo Tian, Lei Qi, Shaokang Dong, Yinghuan Shi, Yang Gao:
Consistent MetaReg: Alleviating Intra-task Discrepancy for Better Meta-knowledge. 2718-2724 - Weijie Liu, Hui Qian, Chao Zhang, Zebang Shen, Jiahao Xie, Nenggan Zheng:
Accelerating Stratified Sampling SGD by Reconstructing Strata. 2725-2731 - Ruobing Xie, Zhijie Qiu, Jun Rao, Yi Liu, Bo Zhang, Leyu Lin:
Internal and Contextual Attention Network for Cold-start Multi-channel Matching in Recommendation. 2732-2738 - Xuan Lin, Zhe Quan, Zhi-Jie Wang, Tengfei Ma, Xiangxiang Zeng:
KGNN: Knowledge Graph Neural Network for Drug-Drug Interaction Prediction. 2739-2745 - Payel Das, Brian Quanz, Pin-Yu Chen, Jae-wook Ahn, Dhruv Shah:
Toward a neuro-inspired creative decoder. 2746-2753 - Quan Guo, Hossein Rajaby Faghihi, Yue Zhang, Andrzej Uszok, Parisa Kordjamshidi:
Inference-Masked Loss for Deep Structured Output Learning. 2754-2761 - Zhao Zhang, Jiahuan Ren, Zheng Zhang, Guangcan Liu:
Deep Latent Low-Rank Fusion Network for Progressive Subspace Discovery. 2762-2768 - Hao Xiong, Nicholas Ruozzi:
General Purpose MRF Learning with Neural Network Potentials. 2769-2776 - Shujian Yu, Ammar Shaker, Francesco Alesiani, José C. Príncipe:
Measuring the Discrepancy between Conditional Distributions: Methods, Properties and Applications. 2777-2784 - Sankalp Garg, Navodita Sharma, Woojeong Jin, Xiang Ren:
Temporal Attribute Prediction via Joint Modeling of Multi-Relational Structure Evolution. 2785-2791 - Lifu Wang, Bo Shen, Ning Zhao, Zhiyuan Zhang:
Is the Skip Connection Provable to Reform the Neural Network Loss Landscape? 2792-2798 - Haowen Fang, Amar Shrestha, Ziyi Zhao, Qinru Qiu:
Exploiting Neuron and Synapse Filter Dynamics in Spatial Temporal Learning of Deep Spiking Neural Network. 2799-2806 - Ryan Spring, Anshumali Shrivastava:
Mutual Information Estimation using LSH Sampling. 2807-2815 - Riley Simmons-Edler, Ben Eisner, Daniel Yang, Anthony Bisulco, Eric Mitchell, H. Sebastian Seung, Daniel D. Lee:
Reward Prediction Error as an Exploration Objective in Deep RL. 2816-2823 - Sungryull Sohn, Yinlam Chow, Jayden Ooi, Ofir Nachum, Honglak Lee, Ed H. Chi, Craig Boutilier:
BRPO: Batch Residual Policy Optimization. 2824-2830 - Ying Song, Shuangjia Zheng, Zhangming Niu, Zhang-Hua Fu, Yutong Lu, Yuedong Yang:
Communicative Representation Learning on Attributed Molecular Graphs. 2831-2838 - Taiji Suzuki, Hiroshi Abe, Tomoya Murata, Shingo Horiuchi, Kotaro Ito, Tokuma Wachi, So Hirai, Masatoshi Yukishima, Tomoaki Nishimura:
Spectral Pruning: Compressing Deep Neural Networks via Spectral Analysis and its Generalization Error. 2839-2846 - Dmitrii Krylov, Remi Tachet des Combes, Romain Laroche, Michael Rosenblum, Dmitry V. Dylov:
Reinforcement Learning Framework for Deep Brain Stimulation Study. 2847-2854 - Kentaro Kanamori, Takuya Takagi, Ken Kobayashi, Hiroki Arimura:
DACE: Distribution-Aware Counterfactual Explanation by Mixed-Integer Linear Optimization. 2855-2862 - Elad Sarafian, Aviv Tamar, Sarit Kraus:
Constrained Policy Improvement for Efficient Reinforcement Learning. 2863-2871 - Xuemiao Zhang, Zhouxing Tan, Xiaoning Zhang, Yang Cao, Rui Yan:
Adaptively Multi-Objective Adversarial Training for Dialogue Generation. 2872-2878 - Min Shi, Yufei Tang, Xingquan Zhu, David A. Wilson, Jianxun Liu:
Multi-Class Imbalanced Graph Convolutional Network Learning. 2879-2885 - Andrea Bontempelli, Stefano Teso, Fausto Giunchiglia, Andrea Passerini:
Learning in the Wild with Incremental Skeptical Gaussian Processes. 2886-2892 - Daniel Stoller, Mi Tian, Sebastian Ewert, Simon Dixon:
Seq-U-Net: A One-Dimensional Causal U-Net for Efficient Sequence Modelling. 2893-2900 - Qiangxing Tian, Guanchu Wang, Jinxin Liu, Donglin Wang, Yachen Kang:
Independent Skill Transfer for Deep Reinforcement Learning. 2901-2907 - Guangyang Han, Jinzheng Tu, Guoxian Yu, Jun Wang, Carlotta Domeniconi:
Crowdsourcing with Multiple-Source Knowledge Transfer. 2908-2914 - Lorenzo Perini, Vincent Vercruyssen, Jesse Davis:
Class Prior Estimation in Active Positive and Unlabeled Learning. 2915-2921 - Ruizhe Zhao, Brian Vogel, Tanvir Ahmed, Wayne Luk:
Reducing Underflow in Mixed Precision Training by Gradient Scaling. 2922-2928 - Cong Fei, Bin Wang, Yuzheng Zhuang, Zongzhang Zhang, Jianye Hao, Hongbo Zhang, Xuewu Ji, Wulong Liu:
Triple-GAIL: A Multi-Modal Imitation Learning Framework with Generative Adversarial Nets. 2929-2935 - Bo Xue, Guanghui Wang, Yimu Wang, Lijun Zhang:
Nearly Optimal Regret for Stochastic Linear Bandits with Heavy-Tailed Payoffs. 2936-2942 - Haobo Wang, Weiwei Liu, Yang Zhao, Tianlei Hu, Ke Chen, Gang Chen:
Learning From Multi-Dimensional Partial Labels. 2943-2949 - Hu Wang, Guansong Pang, Chunhua Shen, Congbo Ma:
Unsupervised Representation Learning by Predicting Random Distances. 2950-2956 - Wenbin Li, Lei Wang, Jing Huo, Yinghuan Shi, Yang Gao, Jiebo Luo:
Asymmetric Distribution Measure for Few-shot Learning. 2957-2963 - Jiaqi Zhang, Meng Wang, Qinchi Li, Sen Wang, Xiaojun Chang, Beilun Wang:
Quadratic Sparse Gaussian Graphical Model Estimation Method for Massive Variables. 2964-2972 - Jiafeng Cheng, Qianqian Wang, Zhiqiang Tao, De-Yan Xie, Quanxue Gao:
Multi-View Attribute Graph Convolution Networks for Clustering. 2973-2979 - Xin Wang, Siu-Ming Yiu:
Classification with Rejection: Scaling Generative Classifiers with Supervised Deep Infomax. 2980-2986 - Fuxiang Zhang, Xin Wang, Zhao Li, Jianxin Li:
TransRHS: A Representation Learning Method for Knowledge Graphs with Relation Hierarchical Structure. 2987-2993 - Zhongxia Chen, Xiting Wang, Xing Xie, Mehul Parsana, Akshay Soni, Xiang Ao, Enhong Chen:
Towards Explainable Conversational Recommendation. 2994-3000 - Feng Zhu, Yan Wang, Chaochao Chen, Guanfeng Liu, Xiaolin Zheng:
A Graphical and Attentional Framework for Dual-Target Cross-Domain Recommendation. 3001-3008 - Zheng Wang, Feiping Nie, Lai Tian, Rong Wang, Xuelong Li:
Discriminative Feature Selection via A Structured Sparse Subspace Learning Module. 3009-3015 - Umang Bhatt, Adrian Weller, José M. F. Moura:
Evaluating and Aggregating Feature-based Model Explanations. 3016-3022 - Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang:
User Modeling with Click Preference and Reading Satisfaction for News Recommendation. 3023-3029 - Hanning Gao, Lingfei Wu, Po Hu, Fangli Xu:
RDF-to-Text Generation with Graph-augmented Structural Neural Encoders. 3030-3036 - Peixi Peng, Junliang Xing, Lili Cao:
Hybrid Learning for Multi-agent Cooperation with Sub-optimal Demonstrations. 3037-3043 - Chao Qian, Hang Xiong, Ke Xue:
Bayesian Optimization using Pseudo-Points. 3044-3050 - Bowen Weng, Huaqing Xiong, Yingbin Liang, Wei Zhang:
Analysis of Q-learning with Adaptation and Momentum Restart for Gradient Descent. 3051-3057 - Jun Huang, Linchuan Xu, Jing Wang, Lei Feng, Kenji Yamanishi:
Discovering Latent Class Labels for Multi-Label Learning. 3058-3064 - Xiaoxing Wang, Chao Xue, Junchi Yan, Xiaokang Yang, Yonggang Hu, Kewei Sun:
MergeNAS: Merge Operations into One for Differentiable Architecture Search. 3065-3072 - Hui Xue, Zheng-Fan Wu:
BaKer-Nets: Bayesian Random Kernel Mapping Networks. 3073-3079 - Hu Ding, Fan Yang, Mingyue Wang:
On Metric DBSCAN with Low Doubling Dimension. 3080-3086 - Luting Yang, Jianyi Yang, Shaolei Ren:
Multi-Feedback Bandit Learning with Probabilistic Contexts. 3087-3093 - Tianpei Yang, Jianye Hao, Zhaopeng Meng, Zongzhang Zhang, Yujing Hu, Yingfeng Chen, Changjie Fan, Weixun Wang, Wulong Liu, Zhaodong Wang, Jiajie Peng:
Efficient Deep Reinforcement Learning via Adaptive Policy Transfer. 3094-3100 - Thanh Tan Nguyen, Nan Ye, Peter L. Bartlett:
Greedy Convex Ensemble. 3101-3107 - Mohammadamin Barekatain, Ryo Yonetani, Masashi Hamaya:
MULTIPOLAR: Multi-Source Policy Aggregation for Transfer Reinforcement Learning between Diverse Environmental Dynamics. 3108-3116 - Da Yu, Huishuai Zhang, Wei Chen, Jian Yin, Tie-Yan Liu:
Gradient Perturbation is Underrated for Differentially Private Convex Optimization. 3117-3123 - Yuying Xing, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang:
Weakly-Supervised Multi-view Multi-instance Multi-label Learning. 3124-3130 - Rundong Wang, Runsheng Yu, Bo An, Zinovi Rabinovich:
I²HRL: Interactive Influence-based Hierarchical Reinforcement Learning. 3131-3138 - Wantong Lu, Yantao Yu, Yongzhe Chang, Zhen Wang, Chenhui Li, Bo Yuan:
A Dual Input-aware Factorization Machine for CTR Prediction. 3139-3145 - Kwei-Herng Lai, Daochen Zha, Yuening Li, Xia Hu:
Dual Policy Distillation. 3146-3152 - Hui Xu, Chong Zhang, Jiaxing Wang, Deqiang Ouyang, Yu Zheng, Jie Shao:
Exploring Parameter Space with Structured Noise for Meta-Reinforcement Learning. 3153-3159 - Feiping Nie, Han Zhang, Rong Wang, Xuelong Li:
Semi-supervised Clustering via Pairwise Constrained Optimal Graph. 3160-3166 - Hongting Zhang, Pan Zhou, Qiben Yan, Xiao-Yang Liu:
Generating Robust Audio Adversarial Examples with Temporal Dependency. 3167-3173 - Xiaobin Tang, Jing Zhang, Bo Chen, Yang Yang, Hong Chen, Cuiping Li:
BERT-INT: A BERT-based Interaction Model For Knowledge Graph Alignment. 3174-3180 - Shanshan Wang, Lei Zhang:
Self-adaptive Re-weighted Adversarial Domain Adaptation. 3181-3187 - Miao Zhang, Huiqi Li, Shirui Pan, Taoping Liu, Steven W. Su:
One-Shot Neural Architecture Search via Novelty Driven Sampling. 3188-3194 - Qiulin Zhang, Zhuqing Jiang, Qishuo Lu, Jia'nan Han, Zhengxin Zeng, Shang-hua Gao, Aidong Men:
Split to Be Slim: An Overlooked Redundancy in Vanilla Convolution. 3195-3201 - Jinglin Xu, Xiangsen Zhang, Wenbin Li, Xinwang Liu, Junwei Han:
Joint Multi-view 2D Convolutional Neural Networks for 3D Object Classification. 3202-3208 - Hanyuan Zhang, Xinyu Zhang, Qize Jiang, Baihua Zheng, Zhenbang Sun, Weiwei Sun, Changhu Wang:
Trajectory Similarity Learning with Auxiliary Supervision and Optimal Matching. 3209-3215 - Kangzhi Zhao, Yong Zhang, Hongzhi Yin, Jin Wang, Kai Zheng, Xiaofang Zhou, Chunxiao Xing:
Discovering Subsequence Patterns for Next POI Recommendation. 3216-3222 - Yongbiao Gao, Yu Zhang, Xin Geng:
Label Enhancement for Label Distribution Learning via Prior Knowledge. 3223-3229 - Jie Wen, Zheng Zhang, Yong Xu, Bob Zhang, Lunke Fei, Guo-Sen Xie:
CDIMC-net: Cognitive Deep Incomplete Multi-view Clustering Network. 3230-3236 - Zhiwei Zhang, Shifeng Chen, Lei Sun:
P-KDGAN: Progressive Knowledge Distillation with GANs for One-class Novelty Detection. 3237-3243 - Jiankai Sun, Jie Zhao, Huan Sun, Srinivasan Parthasarathy:
EndCold: An End-to-End Framework for Cold Question Routing in Community Question Answering Services. 3244-3250 - Yucheng Zhao, Chong Luo, Zheng-Jun Zha, Wenjun Zeng:
Multi-Scale Group Transformer for Long Sequence Modeling in Speech Separation. 3251-3257 - Beitong Zhou, Jun Liu, Weigao Sun, Ruijuan Chen, Claire J. Tomlin, Ye Yuan:
pbSGD: Powered Stochastic Gradient Descent Methods for Accelerated Non-Convex Optimization. 3258-3266 - Jinghui Chen, Dongruo Zhou, Yiqi Tang, Ziyan Yang, Yuan Cao, Quanquan Gu:
Closing the Generalization Gap of Adaptive Gradient Methods in Training Deep Neural Networks. 3267-3275 - Qinghua Ding, Kaiwen Zhou, James Cheng:
Tight Convergence Rate of Gradient Descent for Eigenvalue Computation. 3276-3282 - Yuan Zhuang, Zhenguang Liu, Peng Qian, Qi Liu, Xiang Wang, Qinming He:
Smart Contract Vulnerability Detection using Graph Neural Network. 3283-3290 - Danbing Zou, Qikui Zhu, Pingkun Yan:
Unsupervised Domain Adaptation with Dual-Scheme Fusion Network for Medical Image Segmentation. 3291-3298 - Tanli Zuo, Yukun Qiu, Weishi Zheng:
Neighbor Combinatorial Attention for Critical Structure Mining. 3299-3305
Machine Learning Applications
- Chunheng Jiang, Jianxi Gao, Malik Magdon-Ismail:
Inferring Degrees from Incomplete Networks and Nonlinear Dynamics. 3307-3313 - Penghao Sun, Zehua Guo, Junchao Wang, Junfei Li, Julong Lan, Yuxiang Hu:
DeepWeave: Accelerating Job Completion Time with Deep Reinforcement Learning-based Coflow Scheduling. 3314-3320 - Dongxiao He, Lu Zhai, Zhigang Li, Di Jin, Liang Yang, Yuxiao Huang, Philip S. Yu:
Adversarial Mutual Information Learning for Network Embedding. 3321-3327 - Kazuhiko Shinoda, Hirotaka Kaji, Masashi Sugiyama:
Binary Classification from Positive Data with Skewed Confidence. 3328-3334 - Thanh Vu, Dat Quoc Nguyen, Anthony N. Nguyen:
A Label Attention Model for ICD Coding from Clinical Text. 3335-3341 - Ainaz Hajimoradlou, Gioachino Roberti, David Poole:
Predicting Landslides Using Locally Aligned Convolutional Neural Networks. 3342-3348 - Sebastian Schmoll, Matthias Schubert:
Semi-Markov Reinforcement Learning for Stochastic Resource Collection. 3349-3355 - Yudong Luo, Oliver Schulte, Pascal Poupart:
Inverse Reinforcement Learning for Team Sports: Valuing Actions and Players. 3356-3363 - Govind Sharma, Prasanna Patil, M. Narasimha Murty:
C3MM: Clique-Closure based Hyperlink Prediction. 3364-3370 - Ruimin Shen, Yan Zheng, Jianye Hao, Zhaopeng Meng, Yingfeng Chen, Changjie Fan, Yang Liu:
Generating Behavior-Diverse Game AIs with Evolutionary Multi-Objective Deep Reinforcement Learning. 3371-3377 - Yuanrui Dong, Peng Zhao, Hanqiao Yu, Cong Zhao, Shusen Yang:
CDC: Classification Driven Compression for Bandwidth Efficient Edge-Cloud Collaborative Deep Learning. 3378-3384 - Honglu Zhou, Shuyuan Xu, Zuohui Fu, Gerard de Melo, Yongfeng Zhang, Mubbasir Kapadia:
HID: Hierarchical Multiscale Representation Learning for Information Diffusion. 3385-3391
Multidisciplinary Topics and Applications
- Quan Yuan, Jun Chen, Chao Lu, Haifeng Huang:
The Graph-based Mutual Attentive Network for Automatic Diagnosis. 3393-3399 - Ke Li, Lisi Chen, Shuo Shang:
Towards Alleviating Traffic Congestion: Optimal Route Planning for Massive-Scale Trips. 3400-3406 - Ke Wang, Xuyan Chen, Ning Chen, Ting Chen:
Automatic Emergency Diagnosis with Knowledge-Based Tree Decoding. 3407-3414 - Pengyang Wang, Yanjie Fu, Yuanchun Zhou, Kunpeng Liu, Xiaolin Li, Kien A. Hua:
Exploiting Mutual Information for Substructure-aware Graph Representation Learning. 3415-3421 - Seyed-Iman Mirzadeh, Hassan Ghasemzadeh:
Optimal Policy for Deployment of Machine Learning Models on Energy-Bounded Systems. 3422-3429 - Zhouxing Su, Shihao Huang, Chungen Li, Zhipeng Lü:
A Two-Stage Matheuristic Algorithm for Classical Inventory Routing Problem. 3430-3436 - Xiaotian Hao, Junqi Jin, Jianye Hao, Jin Li, Weixun Wang, Yi Ma, Zhenzhe Zheng, Han Li, Jian Xu, Kun Gai:
Learning to Accelerate Heuristic Searching for Large-Scale Maximum Weighted b-Matching Problems in Online Advertising. 3437-3443 - Run Wang, Felix Juefei-Xu, Lei Ma, Xiaofei Xie, Yihao Huang, Jian Wang, Yang Liu:
FakeSpotter: A Simple yet Robust Baseline for Spotting AI-Synthesized Fake Faces. 3444-3451 - Huiyuan Chen, Jing Li:
Learning Data-Driven Drug-Target-Disease Interaction via Neural Tensor Network. 3452-3458 - Renjun Hu, Xinjiang Lu, Chuanren Liu, Yanyan Li, Hao Liu, Jingjing Gu, Shuai Ma, Hui Xiong:
Why We Go Where We Go: Profiling User Decisions on Choosing POIs. 3459-3465 - Rong-Cheng Tu, Xianling Mao, Wei Wei:
MLS3RDUH: Deep Unsupervised Hashing via Manifold based Local Semantic Similarity Structure Reconstructing. 3466-3472 - Sourav Medya, Tiyani Ma, Arlei Silva, Ambuj K. Singh:
A Game Theoretic Approach For Core Resilience. 3473-3479 - Ferdinando Fioretto, Lesia Mitridati, Pascal Van Hentenryck:
Differential Privacy for Stackelberg Games. 3480-3486 - Rui Liu, Huilin Peng, Yong Chen, Dell Zhang:
HyperNews: Simultaneous News Recommendation and Active-Time Prediction via a Double-Task Deep Neural Network. 3487-3493 - Andrea Piazzoni, Jim Cherian, Martin Slavík, Justin Dauwels:
Modeling Perception Errors towards Robust Decision Making in Autonomous Vehicles. 3494-3500 - Yunqiu Shao, Jiaxin Mao, Yiqun Liu, Weizhi Ma, Ken Satoh, Min Zhang, Shaoping Ma:
BERT-PLI: Modeling Paragraph-Level Interactions for Legal Case Retrieval. 3501-3507 - Jinhuan Liu, Xuemeng Song, Zhaochun Ren, Liqiang Nie, Zhaopeng Tu, Jun Ma:
Auxiliary Template-Enhanced Generative Compatibility Modeling. 3508-3514 - Dongxiao He, Yue Song, Di Jin, Zhiyong Feng, Binbin Zhang, Zhizhi Yu, Weixiong Zhang:
Community-Centric Graph Convolutional Network for Unsupervised Community Detection. 3515-3521 - Yumin Su, Liang Zhang, Quanyu Dai, Bo Zhang, Jinyao Yan, Dan Wang, Yongjun Bao, Sulong Xu, Yang He, Weipeng Yan:
An Attention-based Model for Conversion Rate Prediction with Delayed Feedback via Post-click Calibration. 3522-3528 - Harry W. H. Wong, Jack P. K. Ma, Donald P. H. Wong, Lucien K. L. Ng, Sherman S. M. Chow:
Learning Model with Error - Exposing the Hidden Model of BAYHENN. 3529-3535 - Zhi Li, Bo Wu, Qi Liu, Likang Wu, Hongke Zhao, Tao Mei:
Learning the Compositional Visual Coherence for Complementary Recommendations. 3536-3543 - Yankai Chen, Jie Zhang, Yixiang Fang, Xin Cao, Irwin King:
Efficient Community Search over Large Directed Graph: An Augmented Index-based Approach. 3544-3550 - Lu Zhang, Zhu Sun, Jie Zhang, Yu Lei, Chen Li, Ziqing Wu, Horst Kloeden, Felix Klanner:
An Interactive Multi-Task Learning Framework for Next POI Recommendation with Uncertain Check-ins. 3551-3557 - Aman Abidi, Rui Zhou, Lu Chen, Chengfei Liu:
Pivot-based Maximal Biclique Enumeration. 3558-3564 - Ziye Zhu, Yun Li, Hanghang Tong, Yu Wang:
CooBa: Cross-project Bug Localization via Adversarial Transfer Learning. 3565-3571
Natural Language Processing
- Rana Alshaikh, Zied Bouraoui, Steven Schockaert:
Hierarchical Linear Disentanglement of Data-Driven Conceptual Spaces. 3573-3579 - Qian Liu, Bei Chen, Jiaqi Guo, Jian-Guang Lou, Bin Zhou, Dongmei Zhang:
How Far are We from Effective Context Modeling? An Exploratory Study on Semantic Parsing in Context. 3580-3586 - Guanhua Chen, Yun Chen, Yong Wang, Victor O. K. Li:
Lexical-Constraint-Aware Neural Machine Translation via Data Augmentation. 3587-3593 - Zhiwei Yang, Hechang Chen, Jiawei Zhang, Jing Ma, Yi Chang:
Attention-based Multi-level Feature Fusion for Named Entity Recognition. 3594-3600 - Hengyi Cai, Hongshen Chen, Yonghao Song, Xiaofang Zhao, Dawei Yin:
Exemplar Guided Neural Dialogue Generation. 3601-3607 - Jian Liu, Yubo Chen, Jun Zhao:
Knowledge Enhanced Event Causality Identification with Mention Masking Generalizations. 3608-3614 - Jiale Han, Bo Cheng, Xu Wang:
Two-Phase Hypergraph Based Reasoning with Dynamic Relations for Multi-Hop KBQA. 3615-3621 - Jian Liu, Leyang Cui, Hanmeng Liu, Dandan Huang, Yile Wang, Yue Zhang:
LogiQA: A Challenge Dataset for Machine Reading Comprehension with Logical Reasoning. 3622-3628 - Zhongyang Li, Xiao Ding, Ting Liu, J. Edward Hu, Benjamin Van Durme:
Guided Generation of Cause and Effect. 3629-3636 - Shifeng Li, Shi Feng, Daling Wang, Kaisong Song, Yifei Zhang, Weichao Wang:
EmoElicitor: An Open Domain Response Generation Model with User Emotional Reaction Awareness. 3637-3643 - Yu Zeng, Yan Gao, Jiaqi Guo, Bei Chen, Qian Liu, Jian-Guang Lou, Fei Teng, Dongmei Zhang:
RECPARSER: A Recursive Semantic Parsing Framework for Text-to-SQL Task. 3644-3650 - Zhijiang Guo, Guoshun Nan, Wei Lu, Shay B. Cohen:
Learning Latent Forests for Medical Relation Extraction. 3651-3657 - Hao Nie, Xianpei Han, Le Sun, Chi Man Wong, Qiang Chen, Suhui Wu, Wei Zhang:
Global Structure and Local Semantics-Preserved Embeddings for Entity Alignment. 3658-3664 - Cheng Fu, Xianpei Han, Jiaming He, Le Sun:
Hierarchical Matching Network for Heterogeneous Entity Resolution. 3665-3671 - Juntao Li, Ruidan He, Hai Ye, Hwee Tou Ng, Lidong Bing, Rui Yan:
Unsupervised Domain Adaptation of a Pretrained Cross-Lingual Language Model. 3672-3678 - Yuncheng Hua, Yuan-Fang Li, Gholamreza Haffari, Guilin Qi, Wei Wu:
Retrieve, Program, Repeat: Complex Knowledge Base Question Answering via Alternate Meta-learning. 3679-3686 - Weijing Huang, Xianfeng Liao, Zhiqiang Xie, Jiang Qian, Bojin Zhuang, Shaojun Wang, Jing Xiao:
Generating Reasonable Legal Text through the Combination of Language Modeling and Question Answering. 3687-3693 - Xuancheng Huang, Jiacheng Zhang, Zhixing Tan, Derek F. Wong, Huanbo Luan, Jingfang Xu, Maosong Sun, Yang Liu:
Modeling Voting for System Combination in Machine Translation. 3694-3701 - Xin Lian, Kshitij Jain, Jakub Truszkowski, Pascal Poupart, Yaoliang Yu:
Unsupervised Multilingual Alignment using Wasserstein Barycenter. 3702-3708 - Conghui Tan, Di Jiang, Jinhua Peng, Xueyang Wu, Qian Xu, Qiang Yang:
A De Novo Divide-and-Merge Paradigm for Acoustic Model Optimization in Automatic Speech Recognition. 3709-3715 - Tanya Chowdhury, Sachin Kumar, Tanmoy Chakraborty:
Neural Abstractive Summarization with Structural Attention. 3716-3722 - Zechang Li, Yuxuan Lai, Yansong Feng, Dongyan Zhao:
Domain Adaptation for Semantic Parsing. 3723-3729 - Yimeng Chen, Yanyan Lan, Ruibin Xiong, Liang Pang, Zhiming Ma, Xueqi Cheng:
Evaluating Natural Language Generation via Unbalanced Optimal Transport. 3730-3736 - Hainan Zhang, Yanyan Lan, Liang Pang, Hongshen Chen, Zhuoye Ding, Dawei Yin:
Modeling Topical Relevance for Multi-Turn Dialogue Generation. 3737-3743 - Hyeongju Kim, Hyeonseung Lee, Woo Hyun Kang, Hyung Yong Kim, Nam Soo Kim:
Robust Front-End for Multi-Channel ASR using Flow-Based Density Estimation. 3744-3750 - Yongrui Chen, Huiying Li, Yuncheng Hua, Guilin Qi:
Formal Query Building with Query Structure Prediction for Complex Question Answering over Knowledge Base. 3751-3758 - Ye Lin, Yanyang Li, Tengbo Liu, Tong Xiao, Tongran Liu, Jingbo Zhu:
Towards Fully 8-bit Integer Inference for the Transformer Model. 3759-3765 - Sixing Wu, Ying Li, Dawei Zhang, Yang Zhou, Zhonghai Wu:
TopicKA: Generating Commonsense Knowledge-Aware Dialogue Responses Towards the Recommended Topic Fact. 3766-3772 - Yang Bai, Ziran Li, Ning Ding, Ying Shen, Hai-Tao Zheng:
Infobox-to-text Generation with Tree-like Planning based Attention Network. 3773-3779 - Ziran Li, Zibo Lin, Ning Ding, Hai-Tao Zheng, Ying Shen:
Triple-to-Text Generation with an Anchor-to-Prototype Framework. 3780-3786 - Jie Liu, Shaowei Chen, Bingquan Wang, Jiaxin Zhang, Na Li, Tong Xu:
Attention as Relation: Learning Supervised Multi-head Self-Attention for Relation Extraction. 3787-3793 - Xin Liu, Kai Liu, Xiang Li, Jinsong Su, Yubin Ge, Bin Wang, Jiebo Luo:
An Iterative Multi-Source Mutual Knowledge Transfer Framework for Machine Reading Comprehension. 3794-3800 - Xiaoyuan Yi, Zhenghao Liu, Wenhao Li, Maosong Sun:
Text Style Transfer via Learning Style Instance Supported Latent Space. 3801-3807 - Haoyu Zhang, Dingkun Long, Guangwei Xu, Muhua Zhu, Pengjun Xie, Fei Huang, Ji Wang:
Learning with Noise: Improving Distantly-Supervised Fine-grained Entity Typing via Automatic Relabeling. 3808-3815 - Chuanxin Tang, Chong Luo, Zhiyuan Zhao, Wenxuan Xie, Wenjun Zeng:
Joint Time-Frequency and Time Domain Learning for Speech Enhancement. 3816-3822 - Makoto Nakatsuji, Sohei Okui:
Answer Generation through Unified Memories over Multiple Passages. 3823-3829 - Xin Liu, Jiefu Ou, Yangqiu Song, Xin Jiang:
On the Importance of Word and Sentence Representation Learning in Implicit Discourse Relation Classification. 3830-3836 - Edoardo Barba, Luigi Procopio, Niccolò Campolungo, Tommaso Pasini, Roberto Navigli:
MuLaN: Multilingual Label propagatioN for Word Sense Disambiguation. 3837-3844 - Qingkai Min, Libo Qin, Zhiyang Teng, Xiao Liu, Yue Zhang:
Dialogue State Induction Using Neural Latent Variable Models. 3845-3852 - Libo Qin, Minheng Ni, Yue Zhang, Wanxiang Che:
CoSDA-ML: Multi-Lingual Code-Switching Data Augmentation for Zero-Shot Cross-Lingual NLP. 3853-3860 - Jinglin Liu, Yi Ren, Xu Tan, Chen Zhang, Tao Qin, Zhou Zhao, Tie-Yan Liu:
Task-Level Curriculum Learning for Non-Autoregressive Neural Machine Translation. 3861-3867 - Hui Liu, Zhan Shi, Jia-Chen Gu, Quan Liu, Si Wei, Xiaodan Zhu:
End-to-End Transition-Based Online Dialogue Disentanglement. 3868-3874 - Wei Song, Ziyao Song, Lizhen Liu, Ruiji Fu:
Hierarchical Multi-task Learning for Organization Evaluation of Argumentative Student Essays. 3875-3881 - Peter Clark, Oyvind Tafjord, Kyle Richardson:
Transformers as Soft Reasoners over Language. 3882-3890 - Kaitao Song, Xu Tan, Jianfeng Lu:
Neural Machine Translation with Error Correction. 3891-3897 - Haochen Shi, Siliang Tang, Xiaotao Gu, Bo Chen, Zhigang Chen, Jian Shao, Xiang Ren:
Alleviate Dataset Shift Problem in Fine-grained Entity Typing with Virtual Adversarial Training. 3898-3904 - Zeyun Tang, Yongliang Shen, Xinyin Ma, Wei Xu, Jiale Yu, Weiming Lu:
Multi-hop Reading Comprehension across Documents with Path-based Graph Convolutional Network. 3905-3911 - Antoine Gourru, Julien Velcin, Julien Jacques:
Gaussian Embedding of Linked Documents from a Pretrained Semantic Space. 3912-3918 - Tianming Wang, Xiaojun Wan, Shaowei Yao:
Better AMR-To-Text Generation with Graph Structure Reconstruction. 3919-3925 - Qianhui Wu, Zijia Lin, Börje F. Karlsson, Biqing Huang, Jianguang Lou:
UniTrans : Unifying Model Transfer and Data Transfer for Cross-Lingual Named Entity Recognition with Unlabeled Data. 3926-3932 - Hongfei Xu, Deyi Xiong, Josef van Genabith, Qiuhui Liu:
Efficient Context-Aware Neural Machine Translation with Layer-Wise Weighting and Input-Aware Gating. 3933-3940 - Jun Xu, Zeyang Lei, Haifeng Wang, Zheng-Yu Niu, Hua Wu, Wanxiang Che:
Enhancing Dialog Coherence with Event Graph Grounded Content Planning. 3941-3947 - Tianyang Zhao, Zhao Yan, Yunbo Cao, Zhoujun Li:
Asking Effective and Diverse Questions: A Machine Reading Comprehension based Framework for Joint Entity-Relation Extraction. 3948-3954 - Mingtong Liu, Erguang Yang, Deyi Xiong, Yujie Zhang, Chen Sheng, Changjian Hu, Jinan Xu, Yufeng Chen:
Exploring Bilingual Parallel Corpora for Syntactically Controllable Paraphrase Generation. 3955-3961 - Shijie Yang, Liang Li, Shuhui Wang, Weigang Zhang, Qingming Huang, Qi Tian:
A Structured Latent Variable Recurrent Network With Stochastic Attention For Generating Weibo Comments. 3962-3968 - Yi Yang, Hongan Wang, Jiaqi Zhu, Yunkun Wu, Kailong Jiang, Wenli Guo, Wandong Shi:
Dataless Short Text Classification Based on Biterm Topic Model and Word Embeddings. 3969-3975 - Tao Gui, Jiacheng Ye, Qi Zhang, Yaqian Zhou, Yeyun Gong, Xuanjing Huang:
Leveraging Document-Level Label Consistency for Named Entity Recognition. 3976-3982 - Zaixiang Zheng, Xiang Yue, Shujian Huang, Jiajun Chen, Alexandra Birch:
Towards Making the Most of Context in Neural Machine Translation. 3983-3989 - Chengkun Zhang, Junbin Gao:
Hype-HAN: Hyperbolic Hierarchical Attention Network for Semantic Embedding. 3990-3996 - Dongling Xiao, Han Zhang, Yu-Kun Li, Yu Sun, Hao Tian, Hua Wu, Haifeng Wang:
ERNIE-GEN: An Enhanced Multi-Flow Pre-training and Fine-tuning Framework for Natural Language Generation. 3997-4003 - Hongming Zhang, Daniel Khashabi, Yangqiu Song, Dan Roth:
TransOMCS: From Linguistic Graphs to Commonsense Knowledge. 4004-4010 - Jipeng Zhang, Roy Ka-Wei Lee, Ee-Peng Lim, Wei Qin, Lei Wang, Jie Shao, Qianru Sun:
Teacher-Student Networks with Multiple Decoders for Solving Math Word Problem. 4011-4017 - Congzheng Song, Shanghang Zhang, Najmeh Sadoughi, Pengtao Xie, Eric P. Xing:
Generalized Zero-Shot Text Classification for ICD Coding. 4018-4024 - Linshu Ouyang, Yongzheng Zhang, Hui Liu, Yige Chen, Yipeng Wang:
Gated POS-Level Language Model for Authorship Verification. 4025-4031 - Shan Zhao, Minghao Hu, Zhiping Cai, Fang Liu:
Modeling Dense Cross-Modal Interactions for Joint Entity-Relation Extraction. 4032-4038 - Yang Zhao, Jiajun Zhang, Yu Zhou, Chengqing Zong:
Knowledge Graphs Enhanced Neural Machine Translation. 4039-4045 - Yu Zhang, Houquan Zhou, Zhenghua Li:
Fast and Accurate Neural CRF Constituency Parsing. 4046-4053 - Yue Yuan, Xiaofei Zhou, Shirui Pan, Qiannan Zhu, Zeliang Song, Li Guo:
A Relation-Specific Attention Network for Joint Entity and Relation Extraction. 4054-4060
Planning and Scheduling
- Dor Atzmon, Jiaoyang Li, Ariel Felner, Eliran Nachmani, Shahaf S. Shperberg, Nathan R. Sturtevant, Sven Koenig:
Multi-Directional Heuristic Search. 4062-4068 - George K. Atia, Andre Beckus, Ismail Alkhouri, Alvaro Velasquez:
Steady-State Policy Synthesis in Multichain Markov Decision Processes. 4069-4075 - Daniel Höller, Pascal Bercher, Gregor Behnke:
Delete- and Ordering-Relaxation Heuristics for HTN Planning. 4076-4083 - Eli Boyarski, Ariel Felner, Daniel Harabor, Peter J. Stuckey, Liron Cohen, Jiaoyang Li, Sven Koenig:
Iterative-Deepening Conflict-Based Search. 4084-4090 - Rebecca Eifler, Marcel Steinmetz, Álvaro Torralba, Jörg Hoffmann:
Plan-Space Explanation via Plan-Property Dependencies: Faster Algorithms & More Powerful Properties. 4091-4097 - Ryo Kuroiwa, Alex Fukunaga:
Front-to-Front Heuristic Search for Satisficing Classical Planning. 4098-4105 - Shant Boodaghians, Federico Fusco, Stefano Leonardi, Yishay Mansour, Ruta Mehta:
Online Revenue Maximization for Server Pricing. 4106-4112 - Marnix Suilen, Nils Jansen, Murat Cubuktepe, Ufuk Topcu:
Robust Policy Synthesis for Uncertain POMDPs via Convex Optimization. 4113-4120 - Steven Carr, Nils Jansen, Ufuk Topcu:
Verifiable RNN-Based Policies for POMDPs Under Temporal Logic Constraints. 4121-4127 - Francesco Leofante, Enrico Giunchiglia, Erika Ábrahám, Armando Tacchella:
Optimal Planning Modulo Theories. 4128-4134 - Michael H. Lim, Claire J. Tomlin, Zachary N. Sunberg:
Sparse Tree Search Optimality Guarantees in POMDPs with Continuous Observation Spaces. 4135-4142 - Max Waters, Lin Padgham, Sebastian Sardiña:
Optimising Partial-Order Plans Via Action Reinstantiation. 4143-4151 - Silvan Sievers, Florian Pommerening, Thomas Keller, Malte Helmert:
Cost-Partitioned Merge-and-Shrink Heuristics for Optimal Classical Planning. 4152-4160 - Andrés Occhipinti Liberman, Rasmus Kræmmer Rendsvig:
Decidability Results in First-Order Epistemic Planning. 4161-4167 - Michael Saint-Guillain, Tiago Stegun Vaquero, Jagriti Agrawal, Steve A. Chien:
Robustness Computation of Dynamic Controllability in Probabilistic Temporal Networks with Ordinary Distributions. 4168-4175 - Shahaf S. Shperberg, Andrew Coles, Erez Karpas, Solomon Eyal Shimony, Wheeler Ruml:
Trading Plan Cost for Timeliness in Situated Temporal Planning. 4176-4182 - Florent Teichteil-Königsbuch, Miquel Ramírez, Nir Lipovetzky:
Boundary Extension Features for Width-Based Planning with Simulators on Continuous-State Domains. 4183-4189 - Yunbo Wang, Bo Liu, Jiajun Wu, Yuke Zhu, Simon S. Du, Li Fei-Fei, Joshua B. Tenenbaum:
DualSMC: Tunneling Differentiable Filtering and Planning under Continuous POMDPs. 4190-4198 - Yifan Xu, Pan Xu:
Trade the System Efficiency for the Income Equality of Drivers in Rideshare. 4199-4205 - Yifan Xu, Pan Xu, Jianping Pan, Jun Tao:
A Unified Model for the Two-stage Offline-then-Online Resource Allocation. 4206-4212 - Jan Bürmann, Jie Zhang:
Multi-Robot Adversarial Patrolling Strategies via Lattice Paths. 4213-4219
Robotics
- Jing Liang, Utsav Patel, Adarsh Jagan Sathyamoorthy, Dinesh Manocha:
Crowd-Steer: Realtime Smooth and Collision-Free Robot Navigation in Densely Crowded Scenarios Trained using High-Fidelity Simulation. 4221-4228 - Bojie Shen, Muhammad Aamir Cheema, Daniel Harabor, Peter J. Stuckey:
Euclidean Pathfinding with Compressed Path Databases. 4229-4235
Uncertainty in AI
- Yuqiao Chen, Yibo Yang, Sriraam Natarajan, Nicholas Ruozzi:
Lifted Hybrid Variational Inference. 4237-4244 - Niels Grüttemeier, Christian Komusiewicz:
Learning Bayesian Networks Under Sparsity Constraints: A Parameterized Complexity Analysis. 4245-4251 - Timothy van Bremen, Ondrej Kuzelka:
Approximate Weighted First-Order Model Counting: Exploiting Fast Approximate Model Counters and Symmetry. 4252-4258 - Cheng Chen, Luo Luo, Weinan Zhang, Yong Yu, Yijiang Lian:
Efficient and Robust High-Dimensional Linear Contextual Bandits. 4259-4265 - Kalev Kask, Bobak Pezeshki, Filjor Broka, Alexander Ihler, Rina Dechter:
Scaling Up AND/OR Abstraction Sampling. 4266-4274 - Haifeng Qian:
Neural Belief Reasoner. 4275-4282 - Manfred Jaeger, Oliver Schulte:
A Complete Characterization of Projectivity for Statistical Relational Models. 4283-4290 - Debarun Bhattacharjya, Dharmashankar Subramanian, Tian Gao:
State Variable Effects in Graphical Event Models. 4291-4297
Special track on AI for CompSust and Human well-being
- Luca Romeo, Giuseppe Armentano, Antonio Nicolucci, Marco Vespasiani, Giacomo Vespasiani, Emanuele Frontoni:
A Novel Spatio-Temporal Multi-Task Approach for the Prediction of Diabetes-Related Complication: a Cardiopathy Case of Study. 4299-4305 - Moein Khajehnejad, Ahmad Asgharian Rezaei, Mahmoudreza Babaei, Jessica Hoffmann, Mahdi Jalili, Adrian Weller:
Adversarial Graph Embeddings for Fair Influence Maximization over Social Networks. 4306-4312 - Junwen Bai, Shufeng Kong, Carla P. Gomes:
Disentangled Variational Autoencoder based Multi-Label Classification with Covariance-Aware Multivariate Probit Model. 4313-4321 - Hau Chan, Long Tran-Thanh, Vignesh Viswanathan:
Fighting Wildfires under Uncertainty - A Sequential Resource Allocation Approach. 4322-4329 - Yingwei Zhang, Yiqiang Chen, Hanchao Yu, Zeping Lv, Qing Li, Xiaodong Yang:
Bridging Cross-Tasks Gap for Cognitive Assessment via Fine-Grained Domain Adaptation. 4330-4337 - Pramith Devulapalli, Bistra Dilkina, Yexiang Xue:
Embedding Conjugate Gradient in Learning Random Walks for Landscape Connectivity Modeling in Conservation. 4338-4344 - Zhengcong Fei:
Improving Tandem Mass Spectra Analysis with Hierarchical Learning. 4345-4351 - Chung-Kyun Han, Shih-Fen Cheng:
An Exact Single-Agent Task Selection Algorithm for the Crowdsourced Logistics. 4352-4358 - Chao Huang, Chuxu Zhang, Peng Dai, Liefeng Bo:
Cross-Interaction Hierarchical Attention Networks for Urban Anomaly Prediction. 4359-4365 - Ashiqur R. KhudaBukhsh, Shriphani Palakodety, Jaime G. Carbonell:
Harnessing Code Switching to Transcend the Linguistic Barrier. 4366-4374 - Shufeng Kong, Junwen Bai, Jae Hee Lee, Di Chen, Andrew Allyn, Michelle Stuart, Malin Pinsky, Katherine Mills, Carla P. Gomes:
Deep Hurdle Networks for Zero-Inflated Multi-Target Regression: Application to Multiple Species Abundance Estimation. 4375-4381 - Kehinde Owoeye:
Forecasting Avian Migration Patterns using a Deep Bidirectional RNN Augmented with an Auxiliary Task. 4382-4388 - Amulya Yadav, Roopali Singh, Nikolas Siapoutis, Anamika Barman-Adhikari, Yu Liang:
Optimal and Non-Discriminative Rehabilitation Program Design for Opioid Addiction Among Homeless Youth. 4389-4395 - Budhitama Subagdja, Han Yi Tay, Ah-Hwee Tan:
Who Am I?: Towards Social Self-Awareness for Intelligent Agents. 4396-4402 - Qingsong Xie, Shikui Tu, Guoxing Wang, Yong Lian, Lei Xu:
Discrete Biorthogonal Wavelet Transform Based Convolutional Neural Network for Atrial Fibrillation Diagnosis from Electrocardiogram. 4403-4409 - Kumar Ayush, Burak Uzkent, Marshall Burke, David B. Lobell, Stefano Ermon:
Generating Interpretable Poverty Maps using Object Detection in Satellite Images. 4410-4416 - Connor Riley, Pascal Van Hentenryck, Enpeng Yuan:
Real-Time Dispatching of Large-Scale Ride-Sharing Systems: Integrating Optimization, Machine Learning, and Model Predictive Control. 4417-4423 - Feng Zhang, Ningxuan Feng, Yani Liu, Cheng Yang, Jidong Zhai, Shuhao Zhang, Bingsheng He, Jiazao Lin, Xiaoyong Du:
PewLSTM: Periodic LSTM with Weather-Aware Gating Mechanism for Parking Behavior Prediction. 4424-4430 - Mingyang Zhang, Tong Li, Yong Li, Pan Hui:
Multi-View Joint Graph Representation Learning for Urban Region Embedding. 4431-4437
Special Track on AI in FinTech
- Cuneyt Gurcan Akcora, Yitao Li, Yulia R. Gel, Murat Kantarcioglu:
BitcoinHeist: Topological Data Analysis for Ransomware Prediction on the Bitcoin Blockchain. 4439-4445 - Honglei Guo, Bang An, Zhili Guo, Zhong Su:
Deep Semantic Compliance Advisor for Unstructured Document Compliance Checking. 4446-4452 - Lu Bai, Lixin Cui, Yue Wang, Yuhang Jiao, Edwin R. Hancock:
A Quantum-inspired Entropic Kernel for Multiple Financial Time Series Analysis. 4453-4460 - Yueyang Zhong, YeeMan Bergstrom, Amy R. Ward:
Data-Driven Market-Making via Model-Free Learning. 4461-4468 - Xia Cai:
Vector Autoregressive Weighting Reversion Strategy for Online Portfolio Selection. 4469-4475 - Di Chen, Yada Zhu, Xiaodong Cui, Carla P. Gomes:
Task-Based Learning via Task-Oriented Prediction Network with Applications in Finance. 4476-4482 - Dawei Cheng, Xiaoyang Wang, Ying Zhang, Liqing Zhang:
Risk Guarantee Prediction in Networked-Loans. 4483-4489 - Xin Liang, Dawei Cheng, Fangzhou Yang, Yifeng Luo, Weining Qian, Aoying Zhou:
F-HMTC: Detecting Financial Events for Investment Decisions Based on Neural Hierarchical Multi-Label Text Classification. 4490-4496 - Yimu Ji, Weiheng Gu, Fei Chen, Xiaoying Xiao, Jing Sun, Shangdong Liu, Jing He, Yunyao Li, Kaixiang Zhang, Fen Mei, Fei Wu:
SEBF: A Single-Chain based Extension Model of Blockchain for Fintech. 4497-4505 - Weili Chen, Xiongfeng Guo, Zhiguang Chen, Zibin Zheng, Yutong Lu:
Phishing Scam Detection on Ethereum: Towards Financial Security for Blockchain Ecosystem. 4506-4512 - Zhuang Liu, Degen Huang, Kaiyu Huang, Zhuang Li, Jun Zhao:
FinBERT: A Pre-trained Financial Language Representation Model for Financial Text Mining. 4513-4519 - Jinho Lee, Raehyun Kim, Seok-Won Yi, Jaewoo Kang:
MAPS: Multi-Agent reinforcement learning-based Portfolio management System. 4520-4526 - Xin Huang, Duan Li:
A Two-level Reinforcement Learning Algorithm for Ambiguous Mean-variance Portfolio Selection Problem. 4527-4533 - Ruocheng Guo, Jundong Li, Yichuan Li, K. Selçuk Candan, Adrienne Raglin, Huan Liu:
IGNITE: A Minimax Game Toward Learning Individual Treatment Effects from Networked Observational Data. 4534-4540 - Wei Li, Ruihan Bao, Keiko Harimoto, Deli Chen, Jingjing Xu, Qi Su:
Modeling the Stock Relation with Graph Network for Overnight Stock Movement Prediction. 4541-4547 - Siyu Lin, Peter A. Beling:
An End-to-End Optimal Trade Execution Framework based on Proximal Policy Optimization. 4548-4554 - Guang Liu, Yuzhao Mao, Qi Sun, Hailong Huang, Weiguo Gao, Xuan Li, Jianping Shen, Ruifan Li, Xiaojie Wang:
Multi-scale Two-way Deep Neural Network for Stock Trend Prediction. 4555-4561 - Kei Nakagawa, Shuhei Noma, Masaya Abe:
RM-CVaR: Regularized Multiple β-CVaR Portfolio. 4562-4568 - Zhen Ye, Yu Qin, Wei Xu:
Financial Risk Prediction with Multi-Round Q&A Attention Network. 4576-4582 - Lorenzo Bisi, Luca Sabbioni, Edoardo Vittori, Matteo Papini, Marcello Restelli:
Risk-Averse Trust Region Optimization for Reward-Volatility Reduction. 4583-4589 - Thomas Spooner, Rahul Savani:
Robust Market Making via Adversarial Reinforcement Learning. 4590-4596 - Xuan-Hong Dang, Syed Yousaf Shah, Petros Zerfos:
"The Squawk Bot": Joint Learning of Time Series and Text Data Modalities for Automated Financial Information Filtering. 4597-4603 - Naman Goel, Cyril van Schreven, Aris Filos-Ratsikas, Boi Faltings:
Infochain: A Decentralized, Trustless and Transparent Oracle on Blockchain. 4604-4610 - Cheng Wang:
The Behavioral Sign of Account Theft: Realizing Online Payment Fraud Alert. 4611-4618 - Chi Seng Pun, Lei Wang, Hoi Ying Wong:
Financial Thought Experiment: A GAN-based Approach to Vast Robust Portfolio Selection. 4619-4625 - Xintong Wang, Michael P. Wellman:
Market Manipulation: An Adversarial Learning Framework for Detection and Evasion. 4626-4632 - Zihao Wang, Jia Liu, Hengbin Cui, Chunxiang Jin, Minghui Yang, Yafang Wang, Xiaolong Li, Renxin Mao:
Two-stage Behavior Cloning for Spoken Dialogue System in Debt Collection. 4633-4639 - Qianggang Ding, Sifan Wu, Hao Sun, Jiadong Guo, Jian Guo:
Hierarchical Multi-Scale Gaussian Transformer for Stock Movement Prediction. 4640-4646 - Ke Xu, Yifan Zhang, Deheng Ye, Peilin Zhao, Mingkui Tan:
Relation-Aware Transformer for Portfolio Policy Learning. 4647-4653 - Wenbo Zheng, Lan Yan, Chao Gou, Fei-Yue Wang:
Federated Meta-Learning for Fraudulent Credit Card Detection. 4654-4660 - Shuo Yang, Zhiqiang Zhang, Jun Zhou, Yang Wang, Wang Sun, Xingyu Zhong, Yanming Fang, Quan Yu, Yuan Qi:
Financial Risk Analysis for SMEs with Graph-based Supply Chain Mining. 4661-4667 - Quanzhi Li, Qiong Zhang:
A Unified Model for Financial Event Classification, Detection and Summarization. 4668-4674 - Shuoyao Wang, Diwei Zhu:
Interpretable Multimodal Learning for Intelligent Regulation in Online Payment Systems. 4675-4681 - Mengying Zhu, Xiaolin Zheng, Yan Wang, Qianqiao Liang, Wenfang Zhang:
Online Portfolio Selection with Cardinality Constraint and Transaction Costs based on Contextual Bandit. 4682-4689
Sister Conferences Best Papers
- Guojing Zhou, Hamoon Azizsoltani, Markel Sanz Ausin, Tiffany Barnes, Min Chi:
Hierarchical Reinforcement Learning for Pedagogical Policy Induction (Extended Abstract). 4691-4695 - Tom Decroos, Lotte Bransen, Jan Van Haaren, Jesse Davis:
VAEP: An Objective Approach to Valuing On-the-Ball Actions in Soccer (Extended Abstract). 4696-4700 - Zhenpeng Chen, Sheng Shen, Ziniu Hu, Xuan Lu, Qiaozhu Mei, Xuanzhe Liu:
Emoji-Powered Representation Learning for Cross-Lingual Sentiment Classification (Extended Abstract). 4701-4705 - Maurizio Ferrari Dacrema, Paolo Cremonesi, Dietmar Jannach:
Methodological Issues in Recommender Systems Research (Extended Abstract). 4706-4710 - Giuseppe Cuccu, Julian Togelius, Philippe Cudré-Mauroux:
Playing Atari with Six Neurons (Extended Abstract). 4711-4715 - Giovanni Amendola, Carmine Dodaro, Marco Maratea:
A Formal Approach for Cautious Reasoning in Answer Set Programming (Extended Abstract). 4716-4720 - Pedro Cabalar, Jorge Fandinno, Luis Fariñas del Cerro:
On the Splitting Property for Epistemic Logic Programs (Extended Abstract). 4721-4725 - Dylan J. Foster, Vasilis Syrgkanis:
Statistical Learning with a Nuisance Component (Extended Abstract). 4726-4729 - Hai Huang, Fabien Gandon:
Learning URI Selection Criteria to Improve the Crawling of Linked Open Data (Extended Abstract). 4730-4734 - Yelena Mejova, Kyriaki Kalimeri:
Human Values and Digital Patterns in Physical Exercise (Extended Abstract). 4735-4739 - Eoin M. Kenny, Elodie Ruelle, Anne Geoghegan, Laurence Shalloo, Micheál O'Leary, Michael O'Donovan, Mohammed Temraz, Mark T. Keane:
Bayesian Case-Exclusion and Personalized Explanations for Sustainable Dairy Farming (Extended Abstract). 4740-4744 - Xiang Lisa Li, Jason Eisner:
Specializing Word Embeddings (for Parsing) by Information Bottleneck (Extended Abstract). 4745-4749 - Zhichao Lu, Ian Whalen, Yashesh D. Dhebar, Kalyanmoy Deb, Erik D. Goodman, Wolfgang Banzhaf, Vishnu Naresh Boddeti:
NSGA-Net: Neural Architecture Search using Multi-Objective Genetic Algorithm (Extended Abstract). 4750-4754 - Vikram Mohanty, David Thames, Sneha Mehta, Kurt Luther:
Supporting Historical Photo Identification with Face Recognition and Crowdsourced Human Expertise (Extended Abstract). 4755-4759 - Mohan Sridharan, Tiago Mota:
Commonsense Reasoning to Guide Deep Learning for Scene Understanding (Extended Abstract). 4760-4764 - Hélène Verhaeghe, Siegfried Nijssen, Gilles Pesant, Claude-Guy Quimper, Pierre Schaus:
Learning Optimal Decision Trees using Constraint Programming (Extended Abstract). 4765-4769 - Florian Pommerening, Gabriele Röger, Malte Helmert, Hadrien Cambazard, Louis-Martin Rousseau, Domenico Salvagnin:
Lagrangian Decomposition for Classical Planning (Extended Abstract). 4770-4774 - Shahaf S. Shperberg, Ariel Felner, Nathan R. Sturtevant, Solomon Eyal Shimony, Avi Hayoun:
Bidirectional Heuristic Search: Expanding Nodes by a Lower Bound. 4775-4779 - Kuniyuki Takahashi, Jethro Tan:
Deep Visuo-Tactile Learning: Estimation of Tactile Properties from Images (Extended Abstract). 4780-4784 - Hernán Vargas, Carlos Buil-Aranda, Aidan Hogan, Claudia López:
A User Interface for Exploring and Querying Knowledge Graphs (Extended Abstract). 4785-4789 - Wen Zhang, Yang Feng, Qun Liu:
Bridging the Gap between Training and Inference for Neural Machine Translation (Extended Abstract). 4790-4794
Survey track
- Maroua Bahri, Albert Bifet, Silviu Maniu, Heitor Murilo Gomes:
Survey on Feature Transformation Techniques for Data Streams. 4796-4802 - Tathagata Chakraborti, Sarath Sreedharan, Subbarao Kambhampati:
The Emerging Landscape of Explainable Automated Planning & Decision Making. 4803-4811 - Ramya Srinivasan, Ajay Chander:
Explanation Perspectives from the Cognitive Sciences - A Survey. 4812-4818 - Rémy Portelas, Cédric Colas, Lilian Weng, Katja Hofmann, Pierre-Yves Oudeyer:
Automatic Curriculum Learning For Deep RL: A Short Survey. 4819-4825 - Giovanni Da San Martino, Stefano Cresci, Alberto Barrón-Cedeño, Seunghak Yu, Roberto Di Pietro, Preslav Nakov:
A Survey on Computational Propaganda Detection. 4826-4832 - Andrew Cropper, Sebastijan Dumancic, Stephen H. Muggleton:
Turning 30: New Ideas in Inductive Logic Programming. 4833-4839 - Allegra De Filippo, Michele Lombardi, Michela Milano:
The Blind Men and the Elephant: Integrated Offline/Online Optimization Under Uncertainty. 4840-4846 - Sarah Keren, Avigdor Gal, Erez Karpas:
Goal Recognition Design - Survey. 4847-4853 - Shen Gao, Xiuying Chen, Zhaochun Ren, Dongyan Zhao, Rui Yan:
From Standard Summarization to New Tasks and Beyond: Summarization with Manifold Information. 4854-4860 - Yuxiao Dong, Ziniu Hu, Kuansan Wang, Yizhou Sun, Jie Tang:
Heterogeneous Network Representation Learning. 4861-4867 - Stefan Kramer:
A Brief History of Learning Symbolic Higher-Level Representations from Data (And a Curious Look Forward). 4868-4876 - Luís C. Lamb, Artur S. d'Avila Garcez, Marco Gori, Marcelo O. R. Prates, Pedro H. C. Avelar, Moshe Y. Vardi:
Graph Neural Networks Meet Neural-Symbolic Computing: A Survey and Perspective. 4877-4884 - Jérôme Lang:
Collective Decision Making under Incomplete Knowledge: Possible and Necessary Solutions. 4885-4891 - Levi H. S. Lelis:
Planning Algorithms for Zero-Sum Games with Exponential Action Spaces: A Unifying Perspective. 4892-4898 - João Marques-Silva, Carlos Mencía:
Reasoning About Inconsistent Formulas. 4899-4906 - Sandeep Mathias, Diptesh Kanojia, Abhijit Mishra, Pushpak Bhattacharyya:
A Survey on Using Gaze Behaviour for Natural Language Processing. 4907-4913 - Lavindra de Silva, Felipe Meneguzzi, Brian Logan:
BDI Agent Architectures: A Survey. 4914-4921 - Pauli Miettinen, Stefan Neumann:
Recent Developments in Boolean Matrix Factorization. 4922-4928 - Arpita Roy, Shimei Pan:
Incorporating Extra Knowledge to Enhance Word Embedding. 4929-4935 - Tommaso Pasini:
The Knowledge Acquisition Bottleneck Problem in Multilingual Word Sense Disambiguation. 4936-4942 - Luc De Raedt, Sebastijan Dumancic, Robin Manhaeve, Giuseppe Marra:
From Statistical Relational to Neuro-Symbolic Artificial Intelligence. 4943-4950 - Ruohan Zhang, Akanksha Saran, Bo Liu, Yifeng Zhu, Sihang Guo, Scott Niekum, Dana H. Ballard, Mary M. Hayhoe:
Human Gaze Assisted Artificial Intelligence: A Review. 4951-4958 - Giuseppe De Giacomo, Antonio Di Stasio, Francesco Fuggitti, Sasha Rubin:
Pure-Past Linear Temporal and Dynamic Logic on Finite Traces. 4959-4965 - Toby Walsh:
Fair Division: The Computer Scientist's Perspective. 4966-4972 - Zheng Wang, Zhixiang Wang, Yinqiang Zheng, Yang Wu, Wenjun Zeng, Shin'ichi Satoh:
Beyond Intra-modality: A Survey of Heterogeneous Person Re-identification. 4973-4980 - Fanzhen Liu, Shan Xue, Jia Wu, Chuan Zhou, Wenbin Hu, Cécile Paris, Surya Nepal, Jian Yang, Philip S. Yu:
Deep Learning for Community Detection: Progress, Challenges and Opportunities. 4981-4987 - Junchi Yan, Shuang Yang, Edwin R. Hancock:
Learning for Graph Matching and Related Combinatorial Optimization Problems. 4988-4996 - Sheng Li, Handong Zhao:
A Survey on Representation Learning for User Modeling. 4997-5003
Journal track
- Felicidad Aguado, Pedro Cabalar, Jorge Fandinno, David Pearce, Gilberto Pérez, Concepción Vidal:
Forgetting Auxiliary Atoms in Forks (Extended Abstract). 5005-5009 - Mohammad Mahdi Amirian, Saeed Shiry Ghidary:
Xeggora: Exploiting Immune-to-Evidence Symmetries with Full Aggregation in Statistical Relational Models (Extended Abstract). 5010-5014 - Nelly Barbot, Laurent Miclet, Henri Prade:
Analogy Between Concepts (Extended Abstract). 5015-5019 - Omer Ben-Porat, Lital Kuchy, Sharon Hirsch, Guy Elad, Roi Reichart, Moshe Tennenholtz:
Predicting Strategic Behavior from Free Text (Extended Abstract). 5020-5024 - Piero A. Bonatti:
Rational Closure For All Description Logics (Extended Abstract). 5025-5029 - Jirí Cermák, Viliam Lisý, Branislav Bosanský:
Automated Construction of Bounded-Loss Imperfect-Recall Abstractions in Extensive-Form Games (Extended Abstract). 5030-5034 - Martin C. Cooper, Achref El Mouelhi, Cyril Terrioux:
Variable Elimination in Binary CSPs (Extended Abstract). 5035-5039 - Yi-Dong Shen, Thomas Eiter:
Determining Inference Semantics for Disjunctive Logic Programs (Extended Abstract). 5040-5044 - Oswin Krause, Asja Fischer, Christian Igel:
Algorithms for Estimating the Partition Function of Restricted Boltzmann Machines (Extended Abstract). 5045-5049 - James R. Foulds, Mijung Park, Kamalika Chaudhuri, Max Welling:
Variational Bayes in Private Settings (VIPS) (Extended Abstract). 5050-5054 - Vincent François-Lavet, Guillaume Rabusseau, Joelle Pineau, Damien Ernst, Raphael Fonteneau:
On Overfitting and Asymptotic Bias in Batch Reinforcement Learning with Partial Observability (Extended Abstract). 5055-5059 - Patrick Hohenecker, Thomas Lukasiewicz:
Ontology Reasoning with Deep Neural Networks (Extended Abstract). 5060-5064 - Dieuwke Hupkes, Verna Dankers, Mathijs Mul, Elia Bruni:
Compositionality Decomposed: How do Neural Networks Generalise? (Extended Abstract). 5065-5069 - O-Joun Lee, Jason J. Jung:
Story Embedding: Learning Distributed Representations of Stories based on Character Networks (Extended Abstract). 5070-5074 - Salvador Lucas:
Proving Semantic Properties as First-Order Satisfiability (Extended Abstract). 5075-5079 - Pavlos Vougiouklis, Eddy Maddalena, Jonathon S. Hare, Elena Simperl:
Point at the Triple: Generation of Text Summaries from Knowledge Base Triples (Extended Abstract). 5080-5084 - Artuur Leeuwenberg, Marie-Francine Moens:
A Survey on Temporal Reasoning for Temporal Information Extraction from Text (Extended Abstract). 5085-5089 - Kedian Mu:
Formulas Free From Inconsistency: An Atom-Centric Characterization in Priest's Minimally Inconsistent LP (Extended Abstract). 5090-5094 - Alvaro Perez-Diaz, Enrico H. Gerding, Frank McGroarty:
Catching Cheats: Detecting Strategic Manipulation in Distributed Optimisation of Electric Vehicle Aggregators (Extended Abstract). 5095-5099 - Gilles Pesant:
From Support Propagation to Belief Propagation in Constraint Programming (Extended Abstract). 5100-5104 - Matthew Stephenson, Jochen Renz, Xiaoyu Ge:
The Computational Complexity of Angry Birds (Extended Abstract). 5105-5109 - Rodrigo Agerri, German Rigau:
Language Independent Sequence Labelling for Opinion Target Extraction (Extended Abstract). 5110-5114 - Zhenisbek Assylbekov, Rustem Takhanov:
Context Vectors Are Reflections of Word Vectors in Half the Dimensions (Extended Abstract). 5115-5119 - Pavel Naumov, Jia Tao:
Knowing-How under Uncertainty (Extended Abstract). 5120-5124 - Michael C. Thrun, Alfred Ultsch:
Swarm Intelligence for Self-Organized Clustering (Extended Abstract). 5125-5129 - Eric Timmons, Brian C. Williams:
Best-first Enumeration Based on Bounding Conflicts, and its Application to Large-scale Hybrid Estimation (Extended Abstract). 5130-5134 - Ferdinando Fioretto, Pascal Van Hentenryck:
OptStream: Releasing Time Series Privately (Extended Abstract). 5135-5139 - Xi Alice Gao, James R. Wright, Kevin Leyton-Brown:
Incentivizing Evaluation with Peer Prediction and Limited Access to Ground Truth (Extended Abstract). 5140-5144 - Dianmu Zhang, Blake Hannaford:
IKBT: Solving Symbolic Inverse Kinematics with Behavior Tree (Extended Abstract). 5145-5148
Early Career
- Mingming Gong:
Bridging Causality and Learning: How Do They Benefit from Each Other? 5150-5153 - Alexey Ignatiev:
Towards Trustable Explainable AI. 5154-5158 - Rivka Levitan:
Developing an Integrated Model of Speech Entrainment. 5159-5163 - Risheng Liu:
Optimization Learning: Perspective, Method, and Applications. 5164-5168 - Nicholas Mattei:
Closing the Loop: Bringing Humans into Empirical Computational Social Choice and Preference Reasoning. 5169-5173 - Taiki Todo:
Mechanism Design with Uncertainty. 5174-5177 - Lijun Zhang:
Online Learning in Changing Environments. 5178-5182
Doctoral Consortium
- Mark Zolotas, Yiannis Demiris:
Transparent Intent for Explainable Shared Control in Assistive Robotics. 5184-5185 - Nicolas Bougie, Ryutaro Ichise:
Towards High-Level Intrinsic Exploration in Reinforcement Learning. 5186-5187 - Ya-nan Han, Jianwei Liu, Xiong-Lin Luo:
An Improved Latent Low Rank Representation for Automatic Subspace Clustering. 5188-5189 - Shiwei Liu:
Learning Sparse Neural Networks for Better Generalization. 5190-5191 - Xinghao Yang, Wei Liu:
Population Location and Movement Estimation through Cross-domain Data Analysis. 5192-5193 - Guillaume Lorthioir, Katsumi Inoue:
Design Adaptive AI for RTS Game by Learning Player's Build Order. 5194-5195 - Amith Manoharan:
Strategies for Cooperative UAVs Using Model Predictive Control. 5196-5197 - Bonaventure C. Molokwu, Ziad Kobti:
Social Network Analysis using RLVECN: Representation Learning via Knowledge-Graph Embeddings and Convolutional Neural-Network. 5198-5199 - Zarmeen Nasim:
On Building an Interpretable Topic Modeling Approach for the Urdu Language. 5200-5201 - Nat Pavasant, Masayuki Numao, Ken-ichi Fukui:
Spatio-Temporal Change Detection Using Granger Sequence Pattern. 5202-5203 - Wenqi Zhao, Satoshi Oyama, Masahito Kurihara:
Generating Natural Counterfactual Visual Explanations. 5204-5205 - Ramon Ruiz-Dolz:
Towards an Artificial Argumentation System. 5206-5207 - Kyungwoo Song:
Context Aware Sequence Modeling. 5208-5209 - Julissa Villanueva Llerena:
Predictive Uncertainty Estimation for Tractable Deep Probabilistic Models. 5210-5211 - Jennifer Williams:
End-to-End Signal Factorization for Speech: Identity, Content, and Style. 5212-5213 - Lu Yin:
Beyond Labels: Knowledge Elicitation using Deep Metric Learning and Psychometric Testing. 5214-5215 - Hanhua Zhu:
Generalized Representation Learning Methods for Deep Reinforcement Learning. 5216-5217
Demos
- Aaron Hunter, John Agapeyev:
GenC: A Fast Tool for Applications Involving Belief Revision. 5219-5221 - Gaël Aglin, Siegfried Nijssen, Pierre Schaus:
PyDL8.5: a Library for Learning Optimal Decision Trees. 5222-5224 - Valentijn Borghuis, Luca Angioloni, Lorenzo Brusci, Paolo Frasconi:
Pattern-Based Music Generation with Wasserstein Autoencoders and PRC Descriptions. 5225-5227 - Roy Assaf, Ioana Giurgiu, Jonas Pfefferle, Serge Monney, Haris Pozidis, Anika Schumann:
An Anomaly Detection and Explainability Framework using Convolutional Autoencoders for Data Storage Systems. 5228-5230 - Sagar Sen, Pierre Bernabé, Erik Johannes B. L. G. Husom:
DeepVentilation: Learning to Predict Physical Effort from Breathing. 5231-5233 - Sondre Hamnvik, Pierre Bernabé, Sagar Sen:
Yolo4Apnea: Real-time Detection of Obstructive Sleep Apnea. 5234-5236 - Shreyas Kolala Venkataramanaiah, Xiaocong Du, Zheng Li, Shihui Yin, Yu Cao, Jae-sun Seo:
Efficient and Modularized Training on FPGA for Real-time Applications. 5237-5239 - Jorge Fernandez, Olivier Gasquet, Andreas Herzig, Dominique Longin, Emiliano Lorini, Frédéric Maris, Pierre Régnier:
TouIST: a Friendly Language for Propositional Logic and More. 5240-5242 - Xavier Gillard, Pierre Schaus, Vianney Coppé:
Ddo, a Generic and Efficient Framework for MDD-Based Optimization. 5243-5245 - Johannes Huegle, Christopher Hagedorn, Matthias Uflacker:
How Causal Structural Knowledge Adds Decision-Support in Monitoring of Automotive Body Shop Assembly Lines. 5246-5248 - Jette Henderson, Shubham Sharma, Alan H. Gee, Valeri Alexiev, Steve Draper, Carlos Marin, Yessel Hinojosa, Christine Draper, Michael Perng, Luis Aguirre, Michael Li, Sara Rouhani, Shorya Consul, Susan Michalski, Akarsh Prasad, Mayank Chutani, Aditya Kumar, Shahzad Alam, Prajna Kandarpa, Binnu Jesudasan, Colton Lee, Michael Criscolo, Sinead Williamson, Matt Sanchez, Joydeep Ghosh:
Certifai: A Toolkit for Building Trust in AI Systems. 5249-5251 - Pengwei Hu, Chenhao Lin, Hui Su, Shaochun Li, Xue Han, Yuan Zhang, Jing Mei:
BlueMemo: Depression Analysis through Twitter Posts. 5252-5254 - Hen-Hsen Huang:
AutoSurvey: Automatic Survey Generation based on a Research Draft. 5255-5257 - Weiyi Huang, Jiahao Jiang, Qiang Qu, Min Yang:
AILA: A Question Answering System in the Legal Domain. 5258-5260 - Joanne Taery Kim, Sookyung Kim, Brenden K. Petersen:
An Interactive Visualization Platform for Deep Symbolic Regression. 5261-5263 - Daochen Zha, Kwei-Herng Lai, Songyi Huang, Yuanpu Cao, Keerthana Reddy, Juan Vargas, Alex Nguyen, Ruzhe Wei, Junyu Guo, Xia Hu:
RLCard: A Platform for Reinforcement Learning in Card Games. 5264-5266 - Chang Liu, Zhao Yong Lim, Han Yu, Zhiqi Shen, Ian Dixon, Zhanning Gao, Pan Wang, Peiran Ren, Xuansong Xie, Lizhen Cui, Chunyan Miao:
An AI-empowered Visual Storyline Generator. 5267-5269 - Baihan Lin:
Keep It Real: a Window to Real Reality in Virtual Reality. 5270-5272 - Philippe Esling, Naotake Masuda, Axel Chemla-Romeu-Santos:
FlowSynth: Simplifying Complex Audio Generation Through Explorable Latent Spaces with Normalizing Flows. 5273-5275 - Beatriz San Miguel, Aisha Naseer, Hiroya Inakoshi:
Putting Accountability of AI Systems into Practice. 5276-5278 - Kang Loon Ng, Zichen Chen, Zelei Liu, Han Yu, Yang Liu, Qiang Yang:
A Multi-player Game for Studying Federated Learning Incentive Schemes. 5279-5281 - William Ogallo, Skyler Speakman, Victor Akinwande, Kush R. Varshney, Aisha Walcott-Bryant, Charity Wayua, Komminist Weldemariam:
Inspection of Blackbox Models for Evaluating Vulnerability in Maternal, Newborn, and Child Health. 5282-5284 - Andreas Persson, Pedro Zuidberg Dos Martires, Luc De Raedt, Amy Loutfi:
ProbAnch: a Modular Probabilistic Anchoring Framework. 5285-5287 - Celia Cintas, Ramya Raghavendra, Victor Akinwande, Aisha Walcott-Bryant, Charity Wayua, Komminist Weldemariam:
Decision Platform for Pattern Discovery and Causal Effect Estimation in Contraceptive Discontinuation. 5288-5290 - Rolf Schwitter:
Lossless Semantic Round-Tripping in PENG ASP. 5291-5293 - Harrison Jun Yong Wong, Zichao Deng, Han Yu, Jianqiang Huang, Cyril Leung, Chunyan Miao:
A Testbed for Studying COVID-19 Spreading in Ride-Sharing Systems. 5294-5296 - Zhiwei Zeng, Hongchao Jiang, Yanci Zhang, Zhiqi Shen, Jun Ji, Martin J. McKeown, Jing Jih Chin, Cyril Leung, Chunyan Miao:
A Gamified Assessment Platform for Predicting the Risk of Dementia +Parkinson's disease (DPD) Co-Morbidity. 5297-5299 - Xi Chen, Hao Zhai, Danqian Liu, Weifu Li, Chaoyue Ding, Qiwei Xie, Hua Han:
SiamBOMB: A Real-time AI-based System for Home-cage Animal Tracking, Segmentation and Behavioral Analysis. 5300-5302 - Xiaoyi Fu, Jie Zhang, Hao Yu, Jiachen Li, Dong Chen, Jie Yuan, Xindong Wu:
A Speech-to-Knowledge-Graph Construction System. 5303-5305 - Wei Niu, Pu Zhao, Zheng Zhan, Xue Lin, Yanzhi Wang, Bin Ren:
Towards Real-Time DNN Inference on Mobile Platforms with Model Pruning and Compiler Optimization. 5306-5308 - Chongsheng Zhang, Ruixing Zong, Shuang Cao, Yi Men, Bofeng Mo:
AI-Powered Oracle Bone Inscriptions Recognition and Fragments Rejoining. 5309-5311
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