default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
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