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ORCID31st IJCAI 2022: Vienna, Austria
- Luc De Raedt:
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, IJCAI 2022, Vienna, Austria, 23-29 July 2022. ijcai.org 2022, ISBN 978-1-956792-00-3
Main Track
Agent-based and Multi-agent Systems
- Kenshi Abe, Junpei Komiyama, Atsushi Iwasaki:
Anytime Capacity Expansion in Medical Residency Match by Monte Carlo Tree Search. 3-9 - Rishabh Agrawal, Nirav Ajmeri, Munindar P. Singh:
Socially Intelligent Genetic Agents for the Emergence of Explicit Norms. 10-16 - Hannaneh Akrami, Rojin Rezvan, Masoud Seddighin:
An EF2X Allocation Protocol for Restricted Additive Valuations. 17-23 - Shiri Alouf-Heffetz
, Laurent Bulteau, Edith Elkind, Nimrod Talmon, Nicholas Teh:
Better Collective Decisions via Uncertainty Reduction. 24-30 - Shiri Alouf-Heffetz, Ben Armstrong, Kate Larson, Nimrod Talmon:
How Should We Vote? A Comparison of Voting Systems within Social Networks. 31-38 - Francesco Bacchiocchi, Matteo Castiglioni, Alberto Marchesi, Giulia Romano, Nicola Gatti:
Public Signaling in Bayesian Ad Auctions. 39-45 - Rufan Bai, Haoxing Lin, Xinyu Yang, Xiaowei Wu, Minming Li, Weijia Jia:
Mixed Strategies for Security Games with General Defending Requirements. 46-52 - Yushi Bai, Paul Gölz:
Envy-Free and Pareto-Optimal Allocations for Agents with Asymmetric Random Valuations. 53-59 - Siddharth Barman, Anand Krishna, Yadati Narahari, Soumyarup Sadhukhan:
Achieving Envy-Freeness with Limited Subsidies under Dichotomous Valuations. 60-66 - Flavia Barsotti, Rüya Gökhan Koçer, Fernando P. Santos:
Transparency, Detection and Imitation in Strategic Classification. 67-73 - Dorothea Baumeister, Linus Boes, Christian Laußmann:
Time-Constrained Participatory Budgeting Under Uncertain Project Costs. 74-80 - Davide Bilò, Vittorio Bilò, Pascal Lenzner, Louise Molitor:
Tolerance is Necessary for Stability: Single-Peaked Swap Schelling Games. 81-87 - Vittorio Bilò, Diodato Ferraioli, Cosimo Vinci:
General Opinion Formation Games with Social Group Membership. 88-94 - Georgios Birmpas, Andrea Celli, Riccardo Colini-Baldeschi, Stefano Leonardi:
Fair Equilibria in Sponsored Search Auctions: The Advertisers' Perspective. 95-101 - Niclas Boehmer, Piotr Faliszewski, Rolf Niedermeier, Stanislaw Szufa, Tomasz Was:
Understanding Distance Measures Among Elections. 102-108 - Kayla Boggess, Sarit Kraus, Lu Feng:
Toward Policy Explanations for Multi-Agent Reinforcement Learning. 109-115 - Allan Borodin, Daniel Halpern, Mohamad Latifian, Nisarg Shah:
Distortion in Voting with Top-t Preferences. 116-122 - Sirin Botan, Simon Rey, Zoi Terzopoulou:
Let's Agree to Agree: Targeting Consensus for Incomplete Preferences through Majority Dynamics. 123-129 - Felix Brandt, Patrick Lederer, Warut Suksompong:
Incentives in Social Decision Schemes with Pairwise Comparison Preferences. 130-136 - Robert Bredereck, Anne-Marie George, Jonas Israel, Leon Kellerhals:
Single-Peaked Opinion Updates. 137-143 - Robert Bredereck, Till Fluschnik, Andrzej Kaczmarczyk:
When Votes Change and Committees Should (Not). 144-150 - Martin Bullinger, Pascal Lenzner, Anna Melnichenko:
Network Creation with Homophilic Agents. 151-157 - Sanjay Chandlekar, Bala Suraj Pedasingu, Easwar Subramanian, Sanjay Bhat, Praveen Paruchuri, Sujit Gujar:
VidyutVanika21: An Autonomous Intelligent Broker for Smart-grids. 158-164 - Mengjing Chen, Pingzhong Tang, Zihe Wang, Shenke Xiao, Xiwang Yang:
Optimal Anonymous Independent Reward Scheme Design. 165-171 - Xinning Chen, Xuan Liu, Shigeng Zhang, Bo Ding, Kenli Li:
Goal Consistency: An Effective Multi-Agent Cooperative Method for Multistage Tasks. 172-178 - Yurong Chen, Xiaotie Deng, Chenchen Li, David Mguni, Jun Wang, Xiang Yan, Yaodong Yang:
On the Convergence of Fictitious Play: A Decomposition Approach. 179-185 - Sung-Ho Cho, Taiki Todo, Makoto Yokoo:
Two-Sided Matching over Social Networks. 186-193 - Chen Chu, Yong Li, Jinzhuo Liu, Shuyue Hu, Xuelong Li, Zhen Wang:
A Formal Model for Multiagent Q-Learning Dynamics on Regular Graphs. 194-200 - Rachael Colley, Umberto Grandi:
Preserving Consistency in Multi-Issue Liquid Democracy. 201-207 - Andrei Constantinescu, Roger Wattenhofer:
Voting in Two-Crossing Elections. 208-214 - Michael Dann, Yuan Yao, Natasha Alechina, Brian Logan, John Thangarajah:
Multi-Agent Intention Progression with Reward Machines. 215-222 - Dave de Jonge:
An Analysis of the Linear Bilateral ANAC Domains Using the MiCRO Benchmark Strategy. 223-229 - Théo Delemazure, Jérôme Lang, Jean-François Laslier, M. Remzi Sanver:
Approval with Runoff. 230-236 - Argyrios Deligkas, Eduard Eiben, Robert Ganian, Thekla Hamm, Sebastian Ordyniak:
The Complexity of Envy-Free Graph Cutting. 237-243 - Argyrios Deligkas, Eduard Eiben, Tiger-Lily Goldsmith:
Parameterized Complexity of Hotelling-Downs with Party Nominees. 244-250 - Virginie Do, Matthieu Hervouin, Jérôme Lang, Piotr Skowron:
Online Approval Committee Elections. 251-257 - Jean-Paul Doignon, Stefano Moretti, Meltem Öztürk:
On the Ordinal Invariance of Power Indices on Coalitional Games. 258-264 - Loke Durocher, Panagiotis Karras, Andreas Pavlogiannis, Josef Tkadlec:
Invasion Dynamics in the Biased Voter Process. 265-271 - Soroush Ebadian, Rupert Freeman, Nisarg Shah:
Efficient Resource Allocation with Secretive Agents. 272-278 - Edith Elkind, Abheek Ghosh, Paul W. Goldberg:
Contests to Incentivize a Target Group. 279-285 - Ulle Endriss, Arianna Novaro, Zoi Terzopoulou:
Representation Matters: Characterisation and Impossibility Results for Interval Aggregation. 286-292 - Zack Fitzsimmons, Edith Hemaspaandra:
Insight into Voting Problem Complexity Using Randomized Classes. 293-299 - Michele Flammini, Giovanna Varricchio:
Approximate Strategyproof Mechanisms for the Additively Separable Group Activity Selection Problem. 300-306 - Coral Haggiag, Sigal Oren, Ella Segev:
Picking the Right Winner: Why Tie-Breaking in Crowdsourcing Contests Matters. 307-313 - Daniel Halpern, Gregory Kehne, Jamie Tucker-Foltz:
Can Buyers Reveal for a Better Deal? 314-320 - Hadi Hosseini, Fatima Umar, Rohit Vaish:
Two for One & One for All: Two-Sided Manipulation in Matching Markets. 321-327 - Michal Jaworski, Piotr Skowron:
Phragmén Rules for Degressive and Regressive Proportionality. 328-334 - Panagiotis Kanellopoulos, Maria Kyropoulou, Hao Zhou:
Forgiving Debt in Financial Network Games. 335-341 - Panagiotis Kanellopoulos, Alexandros A. Voudouris, Rongsen Zhang:
On Discrete Truthful Heterogeneous Two-Facility Location. 342-348 - Fatih Erdem Kizilkaya, David Kempe:
Plurality Veto: A Simple Voting Rule Achieving Optimal Metric Distortion. 349-355 - Marina Knittel, Samuel Dooley, John P. Dickerson:
The Dichotomous Affiliate Stable Matching Problem: Approval-Based Matching with Applicant-Employer Relations. 356-362 - Dariusz R. Kowalski, Dominik Pajak:
Light Agents Searching for Hot Information. 363-369 - Sonja Kraiczy, Edith Elkind:
Explaining Preferences by Multiple Patterns in Voters' Behavior. 370-376 - Hicham Lesfari, Frédéric Giroire, Stéphane Pérennes:
Biased Majority Opinion Dynamics: Exploiting Graph k-domination. 377-383 - Chin-wing Leung, Shuyue Hu, Ho-fung Leung:
Modelling the Dynamics of Multi-Agent Q-learning: The Stochastic Effects of Local Interaction and Incomplete Information. 384-390 - Joseph Livesey, Dominik Wojtczak:
Propositional Gossip Protocols under Fair Schedulers. 391-397 - Maaike Los, Zoé Christoff, Davide Grossi:
Proportional Budget Allocations: Towards a Systematization. 398-404 - Arnab Maiti, Palash Dey:
Parameterized Algorithms for Kidney Exchange. 405-411 - Pasin Manurangsi, Warut Suksompong:
Fixing Knockout Tournaments With Seeds. 412-418 - Matteo Michelini, Adrian Haret, Davide Grossi:
Group Wisdom at a Price: Jury Theorems with Costly Information. 419-425 - Munyque Mittelmann, Bastien Maubert, Aniello Murano, Laurent Perrussel:
Automated Synthesis of Mechanisms. 426-432 - Dolev Mutzari, Yonatan Aumann, Sarit Kraus:
Robust Solutions for Multi-Defender Stackelberg Security Games. 433-439 - Justin Payan, Yair Zick:
I Will Have Order! Optimizing Orders for Fair Reviewer Assignment. 440-446 - Gleb Polevoy, Marcin Dziubinski:
Fair, Individually Rational and Cheap Adjustment. 447-453 - David Radke, Kate Larson, Tim Brecht:
Exploring the Benefits of Teams in Multiagent Learning. 454-460 - Giulia Romano, Matteo Castiglioni, Alberto Marchesi, Nicola Gatti:
The Power of Media Agencies in Ad Auctions: Improving Utility through Coordinated Bidding. 461-467 - Ayan Sengupta, Shinji Nakadai, Yasser Mohammad:
Transfer Learning Based Adaptive Automated Negotiating Agent Framework. 468-474 - Chinmay Sonar, Subhash Suri, Jie Xue:
Multiwinner Elections under Minimax Chamberlin-Courant Rule in Euclidean Space. 475-481 - Krzysztof Sornat, Virginia Vassilevska Williams, Yinzhan Xu:
Near-Tight Algorithms for the Chamberlin-Courant and Thiele Voting Rules. 482-488 - Gogulapati Sreedurga, Mayank Ratan Bhardwaj, Yadati Narahari:
Maxmin Participatory Budgeting. 489-495 - Stanislaw Szufa, Piotr Faliszewski, Lukasz Janeczko, Martin Lackner, Arkadii Slinko, Krzysztof Sornat, Nimrod Talmon:
How to Sample Approval Elections? 496-502 - Martin Tappler, Filip Cano Córdoba, Bernhard K. Aichernig, Bettina Könighofer:
Search-Based Testing of Reinforcement Learning. 503-510 - Andrea Traldi, Francesco Bruschetti, Marco Robol, Marco Roveri, Paolo Giorgini:
Real-Time BDI Agents: A Model and Its Implementation. 511-517 - Dimitrios Troullinos, Georgios Chalkiadakis, Vasilis Samoladas, Markos Papageorgiou:
Max-Sum with Quadtrees for Decentralized Coordination in Continuous Domains. 518-526 - Toby Walsh:
Strategy Proof Mechanisms for Facility Location with Capacity Limits. 527-533 - Zhen Wang, Chunjiang Mu, Shuyue Hu, Chen Chu, Xuelong Li:
Modelling the Dynamics of Regret Minimization in Large Agent Populations: a Master Equation Approach. 534-540 - Jakob Weissteiner, Jakob Heiss, Julien Siems, Sven Seuken:
Monotone-Value Neural Networks: Exploiting Preference Monotonicity in Combinatorial Assignment. 541-548 - Jakob Weissteiner, Chris Wendler, Sven Seuken, Benjamin Lubin, Markus Püschel:
Fourier Analysis-based Iterative Combinatorial Auctions. 549-556 - Junlin Wu, Andrew Estornell, Lecheng Kong, Yevgeniy Vorobeychik:
Manipulating Elections by Changing Voter Perceptions. 557-563 - Mingzhe Xing, Hangyu Mao, Zhen Xiao:
Fast and Fine-grained Autoscaler for Streaming Jobs with Reinforcement Learning. 564-570 - Chenyang Xu, Pinyan Lu:
Mechanism Design with Predictions. 571-577 - Di Xue, Lei Yuan, Zongzhang Zhang, Yang Yu:
Efficient Multi-Agent Communication via Shapley Message Value. 578-584 - Yongjie Yang:
On the Complexity of Calculating Approval-Based Winners in Candidates-Embedded Metrics. 585-591 - Guanghui Yu, Chien-Ju Ho:
Environment Design for Biased Decision Makers. 592-598 - Lei Yuan, Chenghe Wang, Jianhao Wang, Fuxiang Zhang, Feng Chen, Cong Guan, Zongzhang Zhang, Chongjie Zhang, Yang Yu:
Multi-Agent Concentrative Coordination with Decentralized Task Representation. 599-605 - Youzhi Zhang, Bo An, V. S. Subrahmanian:
Correlation-Based Algorithm for Team-Maxmin Equilibrium in Multiplayer Extensive-Form Games. 606-612 - Houyu Zhou, Minming Li, Hau Chan:
Strategyproof Mechanisms for Group-Fair Facility Location Problems. 613-619 - Adam Zychowski, Jacek Mandziuk, Elizabeth Bondi, Aravind Venugopal, Milind Tambe, Balaraman Ravindran:
Evolutionary Approach to Security Games with Signaling. 620-627
AI Ethics, Trust, Fairness
- Manoj Acharya, Anirban Roy, Kaushik Koneripalli, Susmit Jha, Christopher Kanan, Ajay Divakaran:
Detecting Out-Of-Context Objects Using Graph Contextual Reasoning Network. 629-635 - Leila Amgoud, Jonathan Ben-Naim:
Axiomatic Foundations of Explainability. 636-642 - Gilles Audemard, Steve Bellart, Louenas Bounia, Frédéric Koriche, Jean-Marie Lagniez, Pierre Marquis:
On Preferred Abductive Explanations for Decision Trees and Random Forests. 643-650 - Elias Benussi, Andrea Patanè, Matthew Wicker, Luca Laurenti, Marta Kwiatkowska:
Individual Fairness Guarantees for Neural Networks. 651-658 - Alvin Chan, Yew Soon Ong, Clement Tan:
How Does Frequency Bias Affect the Robustness of Neural Image Classifiers against Common Corruption and Adversarial Perturbations? 659-665 - Simin Chen, Hamed Khanpour, Cong Liu, Wei Yang:
Learn to Reverse DNNs from AI Programs Automatically. 666-672 - Minhao Cheng, Qi Lei, Pin-Yu Chen, Inderjit S. Dhillon, Cho-Jui Hsieh:
CAT: Customized Adversarial Training for Improved Robustness. 673-679 - Wei Du, Yichun Zhao, Boqun Li, Gongshen Liu, Shilin Wang:
PPT: Backdoor Attacks on Pre-trained Models via Poisoned Prompt Tuning. 680-686 - Xavier Gitiaux, Huzefa Rangwala:
SoFaiR: Single Shot Fair Representation Learning. 687-695 - Vincent Grari, Sylvain Lamprier, Marcin Detyniecki:
Fairness without the Sensitive Attribute via Causal Variational Autoencoder. 696-702 - Nadin Kökciyan, Pinar Yolum:
Taking Situation-Based Privacy Decisions: Privacy Assistants Working with Humans. 703-709 - Jeonghyun Lee, Sungmin Han, Sangkyun Lee:
Model Stealing Defense against Exploiting Information Leak through the Interpretation of Deep Neural Nets. 710-716 - Zhiyu Lin, Yifei Gao, Jitao Sang:
Investigating and Explaining the Frequency Bias in Image Classification. 717-723 - Runliang Niu, Zhepei Wei, Yan Wang, Qi Wang:
AttExplainer: Explain Transformer via Attention by Reinforcement Learning. 724-731 - Yao Qiang, Chengyin Li, Marco Brocanelli, Dongxiao Zhu:
Counterfactual Interpolation Augmentation (CIA): A Unified Approach to Enhance Fairness and Explainability of DNN. 732-739 - Piotr Romashov, Martin Gjoreski, Kacper Sokol, Maria Vanina Martinez, Marc Langheinrich:
BayCon: Model-agnostic Bayesian Counterfactual Generator. 740-746 - Luca Veyrin-Forrer, Ataollah Kamal, Stefan Duffner, Marc Plantevit, Céline Robardet:
What Does My GNN Really Capture? On Exploring Internal GNN Representations. 747-752 - Wei Wan, Shengshan Hu, Jianrong Lu, Leo Yu Zhang, Hai Jin, Yuanyuan He:
Shielding Federated Learning: Robust Aggregation with Adaptive Client Selection. 753-760 - Run Wang, Ziheng Huang, Zhikai Chen, Li Liu, Jing Chen, Lina Wang:
Anti-Forgery: Towards a Stealthy and Robust DeepFake Disruption Attack via Adversarial Perceptual-aware Perturbations. 761-767 - Zhengyi Wang, Zhongkai Hao, Ziqiao Wang, Hang Su, Jun Zhu:
Cluster Attack: Query-based Adversarial Attacks on Graph with Graph-Dependent Priors. 768-775 - Kang Yang, Run Wang, Lina Wang:
MetaFinger: Fingerprinting the Deep Neural Networks with Meta-training. 776-782 - Shengwei Zhou, Xiaowei Wu:
Approximately EFX Allocations for Indivisible Chores. 783-789
Computer Vision
- Arij Bouazizi, Adrian Holzbock, Ulrich Kressel, Klaus Dietmayer, Vasileios Belagiannis:
MotionMixer: MLP-based 3D Human Body Pose Forecasting. 791-798 - Chengzhi Cao, Xueyang Fu, Yurui Zhu, Gege Shi, Zheng-Jun Zha:
Event-driven Video Deblurring via Spatio-Temporal Relation-Aware Network. 799-805 - Gaofeng Cao, Fei Zhou, Han Yan, Anjie Wang, Leidong Fan:
KPN-MFI: A Kernel Prediction Network with Multi-frame Interaction for Video Inverse Tone Mapping. 806-812 - Dubing Chen, Yuming Shen, Haofeng Zhang, Philip H. S. Torr:
Zero-Shot Logit Adjustment. 813-819 - Lei Chen, Muheng Li, Yueqi Duan, Jie Zhou, Jiwen Lu:
Uncertainty-Aware Representation Learning for Action Segmentation. 820-826 - Zehui Chen, Zhenyu Li, Shiquan Zhang, Liangji Fang, Qinhong Jiang, Feng Zhao, Bolei Zhou, Hang Zhao:
AutoAlign: Pixel-Instance Feature Aggregation for Multi-Modal 3D Object Detection. 827-833 - Zekang Chen, Jia Wei, Rui Li:
Unsupervised Multi-Modal Medical Image Registration via Discriminator-Free Image-to-Image Translation. 834-840 - Zhi-Xuan Chen, Cheng Jin, Tian-Jing Zhang, Xiao Wu, Liang-Jian Deng:
SpanConv: A New Convolution via Spanning Kernel Space for Lightweight Pansharpening. 841-847 - De Cheng, Yan Li, Dingwen Zhang, Nannan Wang, Xinbo Gao, Jiande Sun:
Robust Single Image Dehazing Based on Consistent and Contrast-Assisted Reconstruction. 848-854 - Yiwei Ding, Wenjin Deng, Yinglin Zheng, Pengfei Liu, Meihong Wang, Xuan Cheng, Jianmin Bao, Dong Chen, Ming Zeng:
I²R-Net: Intra- and Inter-Human Relation Network for Multi-Person Pose Estimation. 855-862 - Hexin Dong, Zifan Chen, Mingze Yuan, Yutong Xie, Jie Zhao, Fei Yu, Bin Dong, Li Zhang:
Region-Aware Metric Learning for Open World Semantic Segmentation via Meta-Channel Aggregation. 863-869 - Zhangfu Dong, Yuting He, Xiaoming Qi, Yang Chen, Huazhong Shu, Jean-Louis Coatrieux, Guanyu Yang, Shuo Li:
MNet: Rethinking 2D/3D Networks for Anisotropic Medical Image Segmentation. 870-876 - Xiuquan Du, Xuebin Xu, Kunpeng Ma:
ICGNet: Integration Context-based Reverse-Contour Guidance Network for Polyp Segmentation. 877-883 - Yongkun Du, Zhineng Chen, Caiyan Jia, Xiaoting Yin, Tianlun Zheng, Chenxia Li, Yuning Du, Yu-Gang Jiang:
SVTR: Scene Text Recognition with a Single Visual Model. 884-890 - Yexin Duan, Jialin Chen, Xingyu Zhou, Junhua Zou, Zhengyun He, Jin Zhang, Wu Zhang, Zhisong Pan:
Learning Coated Adversarial Camouflages for Object Detectors. 891-897 - Tingyu Fan, Linyao Gao, Yiling Xu, Zhu Li, Dong Wang:
D-DPCC: Deep Dynamic Point Cloud Compression via 3D Motion Prediction. 898-904 - Zhihong Fu, Zehua Fu, Qingjie Liu, Wenrui Cai, Yunhong Wang:
SparseTT: Visual Tracking with Sparse Transformers. 905-912 - Guangwei Gao, Zhengxue Wang, Juncheng Li, Wenjie Li, Yi Yu, Tieyong Zeng:
Lightweight Bimodal Network for Single-Image Super-Resolution via Symmetric CNN and Recursive Transformer. 913-919 - Zhihao Gu, Taiping Yao, Yang Chen, Ran Yi, Shouhong Ding, Lizhuang Ma:
Region-Aware Temporal Inconsistency Learning for DeepFake Video Detection. 920-926 - Mingzhe Guo, Zhipeng Zhang, Heng Fan, Liping Jing, Yilin Lyu, Bing Li, Weiming Hu:
Learning Target-aware Representation for Visual Tracking via Informative Interactions. 927-934 - Xin Guo, Xueyang Fu, Man Zhou, Zhen Huang, Jialun Peng, Zheng-Jun Zha:
Exploring Fourier Prior for Single Image Rain Removal. 935-941 - Shuai He, Yongchang Zhang, Rui Xie, Dongxiang Jiang, Anlong Ming:
Rethinking Image Aesthetics Assessment: Models, Datasets and Benchmarks. 942-948 - Wenbin He, William Surmeier, Arvind Kumar Shekar, Liang Gou, Liu Ren:
Self-supervised Semantic Segmentation Grounded in Visual Concepts. 949-955 - Ziming Hong, Shiming Chen, Guo-Sen Xie, Wenhan Yang, Jian Zhao, Yuanjie Shao, Qinmu Peng, Xinge You:
Semantic Compression Embedding for Generative Zero-Shot Learning. 956-963 - Huimin Huang, Shiao Xie, Lanfen Lin, Yutaro Iwamoto, Xian-Hua Han, Yen-Wei Chen, Ruofeng Tong:
ScaleFormer: Revisiting the Transformer-based Backbones from a Scale-wise Perspective for Medical Image Segmentation. 964-971 - Wei-Jie Huang, Yu-Lin Lu, Shih-Yao Lin, Yusheng Xie, Yen-Yu Lin:
AQT: Adversarial Query Transformers for Domain Adaptive Object Detection. 972-979 - Kui Jiang, Zhongyuan Wang, Zheng Wang, Peng Yi, Junjun Jiang, Jinsheng Xiao, Chia-Wen Lin:
DANet: Image Deraining via Dynamic Association Learning. 980-986 - Yankai Jiang, Ke Xu, Xinyue Wang, Yuan Li, Hongguang Cui, Yubo Tao, Hai Lin:
SatFormer: Saliency-Guided Abnormality-Aware Transformer for Retinal Disease Classification in Fundus Image. 987-994 - Yujie Jin, Xu Chu, Yasha Wang, Wenwu Zhu:
Domain Generalization through the Lens of Angular Invariance. 995-1001 - Ilchae Jung, Minji Kim, Eunhyeok Park, Bohyung Han:
Online Hybrid Lightweight Representations Learning: Its Application to Visual Tracking. 1002-1008 - Takeshi Kojima, Yutaka Matsuo, Yusuke Iwasawa:
Robustifying Vision Transformer without Retraining from Scratch by Test-Time Class-Conditional Feature Alignment. 1009-1016 - Xuan Kou, Chenghao Xu, Xu Yang, Cheng Deng:
Attention-guided Contrastive Hashing for Long-tailed Image Retrieval. 1017-1023 - Chunbo Lang, Binfei Tu, Gong Cheng, Junwei Han:
Beyond the Prototype: Divide-and-conquer Proxies for Few-shot Segmentation. 1024-1030 - Chung-Yeon Lee, Youngjae Yoo, Byoung-Tak Zhang:
PlaceNet: Neural Spatial Representation Learning with Multimodal Attention. 1031-1038 - Jae Hee Lee, Matthias Kerzel, Kyra Ahrens, Cornelius Weber, Stefan Wermter:
What is Right for Me is Not Yet Right for You: A Dataset for Grounding Relative Directions via Multi-Task Learning. 1039-1045 - Jinhwi Lee, Jungtaek Kim, Hyunsoo Chung, Jaesik Park, Minsu Cho:
Learning to Assemble Geometric Shapes. 1046-1052 - Ang Li, Shanshan Zhao, Qingjie Zhang, Qiuhong Ke:
Iterative Geometry-Aware Cross Guidance Network for Stereo Image Inpainting. 1053-1059 - Bing Li, Jiaxin Chen, Dongming Zhang, Xiuguo Bao, Di Huang:
Representation Learning for Compressed Video Action Recognition via Attentive Cross-modal Interaction with Motion Enhancement. 1060-1066 - Dongdong Li, Zhigang Wang, Jian Wang, Xinyu Zhang, Errui Ding, Jingdong Wang, Zhaoxiang Zhang:
Self-Guided Hard Negative Generation for Unsupervised Person Re-Identification. 1067-1073 - Hanting Li, Mingzhe Sui, Zhaoqing Zhu, Feng Zhao:
MMNet: Muscle Motion-Guided Network for Micro-Expression Recognition. 1074-1080 - Jingyu Li, Zhendong Mao, Shancheng Fang, Hao Li:
ER-SAN: Enhanced-Adaptive Relation Self-Attention Network for Image Captioning. 1081-1087 - Jinpeng Li, Haibo Jin, Shengcai Liao, Ling Shao, Pheng-Ann Heng:
RePFormer: Refinement Pyramid Transformer for Robust Facial Landmark Detection. 1088-1094 - Qun Li, Ziyi Zhang, Fu Xiao, Feng Zhang, Bir Bhanu:
Dite-HRNet: Dynamic Lightweight High-Resolution Network for Human Pose Estimation. 1095-1101 - Wei Li, Tianzhao Yang, Xiao Wu, Zhaoquan Yuan:
Learning Graph-based Residual Aggregation Network for Group Activity Recognition. 1102-1108 - Xiaotong Li, Jilan Xu, Yuejie Zhang, Rui Feng, Rui-Wei Zhao, Tao Zhang, Xuequan Lu, Shang Gao:
TCCNet: Temporally Consistent Context-Free Network for Semi-supervised Video Polyp Segmentation. 1109-1115 - Xiaoyan Li, Gang Zhang, Tao Jiang, Xufen Cai, Zhenhua Wang:
PRNet: Point-Range Fusion Network for Real-Time LiDAR Semantic Segmentation. 1116-1122 - Yu-Lei Li:
Unsupervised Embedding and Association Network for Multi-Object Tracking. 1123-1129 - Zheng Li, Caili Guo, Zerun Feng, Jenq-Neng Hwang, Xijun Xue:
Multi-View Visual Semantic Embedding. 1130-1136 - Yudong Liang, Bin Wang, Wangmeng Zuo, Jiaying Liu, Wenqi Ren:
Self-supervised Learning and Adaptation for Single Image Dehazing. 1137-1143 - Yun Liang, Enze Huang, Zifeng Zhang, Zhuo Su, Dong Wang:
Feature Dense Relevance Network for Single Image Dehazing. 1144-1150 - Chao Lin, Zhao Li, Sheng Zhou, Shichang Hu, Jialun Zhang, Linhao Luo, Jiarun Zhang, Longtao Huang, Yuan He:
RMGN: A Regional Mask Guided Network for Parser-free Virtual Try-on. 1151-1158 - Haotong Lin, Sida Peng, Zhize Zhou, Xiaowei Zhou:
Learning to Estimate Object Poses without Real Image Annotations. 1159-1165 - Tzu-Heng Lin, Pengxiao Wang, Yizhou Wang:
Intrinsic Image Decomposition by Pursuing Reflectance Image. 1166-1172 - Yang Lin, Tianyu Zhang, Peiqin Sun, Zheng Li, Shuchang Zhou:
FQ-ViT: Post-Training Quantization for Fully Quantized Vision Transformer. 1173-1179 - Ajian Liu, Yanyan Liang:
MA-ViT: Modality-Agnostic Vision Transformers for Face Anti-Spoofing. 1180-1186 - Kai Liu, Tianyi Wu, Cong Liu, Guodong Guo:
Dynamic Group Transformer: A General Vision Transformer Backbone with Dynamic Group Attention. 1187-1193 - Minghui Liu, Jiali Deng, Meiyi Yang, Xuan Cheng, Nianbo Liu, Ming Liu, Xiaomin Wang:
Cost Ensemble with Gradient Selecting for GANs. 1194-1200 - Weiquan Liu, Hanyun Guo, Weini Zhang, Yu Zang, Cheng Wang, Jonathan Li:
TopoSeg: Topology-aware Segmentation for Point Clouds. 1201-1208 - Xiaoyu Liu, Wei Huang, Yueyi Zhang, Zhiwei Xiong:
Biological Instance Segmentation with a Superpixel-Guided Graph. 1209-1215 - Yang Liu, Yingping Li, Chengyu Kong, Yuqiu Kong, Shenglan Liu, Feilong Wang:
Vision Shared and Representation Isolated Network for Person Search. 1216-1222 - Zhenguang Liu, Sifan Wu, Chejian Xu, Xiang Wang, Lei Zhu, Shuang Wu, Fuli Feng:
Copy Motion From One to Another: Fake Motion Video Generation. 1223-1231 - Xinyuan Lu, Shengyuan Huang, Li Niu, Wenyan Cong, Liqing Zhang:
Deep Video Harmonization With Color Mapping Consistency. 1232-1238 - Cheng Luo, Siyang Song, Weicheng Xie, Linlin Shen, Hatice Gunes:
Learning Multi-dimensional Edge Feature-based AU Relation Graph for Facial Action Unit Recognition. 1239-1246 - Wenyang Luo, Yufan Liu, Bing Li, Weiming Hu, Yanan Miao, Yangxi Li:
Long-Short Term Cross-Transformer in Compressed Domain for Few-Shot Video Classification. 1247-1253 - Zeyu Ma, Xiao Luo, Yingjie Chen, Mixiao Hou, Jinxing Li, Minghua Deng, Guangming Lu:
Improved Deep Unsupervised Hashing with Fine-grained Semantic Similarity Mining for Multi-Label Image Retrieval. 1254-1260 - Qian Ning, Jingzhu Tang, Fangfang Wu, Weisheng Dong, Xin Li, Guangming Shi:
Learning Degradation Uncertainty for Unsupervised Real-world Image Super-resolution. 1261-1267 - Mathieu Pagé Fortin, Brahim Chaib-draa:
Continual Semantic Segmentation Leveraging Image-level Labels and Rehearsal. 1268-1275 - Min Peng, Chongyang Wang, Yuan Gao, Yu Shi, Xiang-Dong Zhou:
Multilevel Hierarchical Network with Multiscale Sampling for Video Question Answering. 1276-1282 - Siran Peng, Liang-Jian Deng, Jin-Fan Hu, Yu-Wei Zhuo:
Source-Adaptive Discriminative Kernels based Network for Remote Sensing Pansharpening. 1283-1289 - Haocong Rao, Chunyan Miao:
SimMC: Simple Masked Contrastive Learning of Skeleton Representations for Unsupervised Person Re-Identification. 1290-1297 - Christoph Reinders, Frederik Schubert, Bodo Rosenhahn:
ChimeraMix: Image Classification on Small Datasets via Masked Feature Mixing. 1298-1305 - Jingang Shi, Yusi Wang, Songlin Dong, Xiaopeng Hong, Zitong Yu, Fei Wang, Changxin Wang, Yihong Gong:
IDPT: Interconnected Dual Pyramid Transformer for Face Super-Resolution. 1306-1312 - Thibault Simonetto, Salijona Dyrmishi, Salah Ghamizi, Maxime Cordy, Yves Le Traon:
A Unified Framework for Adversarial Attack and Defense in Constrained Feature Space. 1313-1319 - Sanjana Sinha, Sandika Biswas, Ravindra Yadav, Brojeshwar Bhowmick:
Emotion-Controllable Generalized Talking Face Generation. 1320-1327 - Samuel S. Sohn, Seonghyeon Moon, Honglu Zhou, Mihee Lee, Sejong Yoon, Vladimir Pavlovic, Mubbasir Kapadia:
Harnessing Fourier Isovists and Geodesic Interaction for Long-Term Crowd Flow Prediction. 1328-1334 - Yujia Sun, Shuo Wang, Chenglizhao Chen, Tian-Zhu Xiang:
Boundary-Guided Camouflaged Object Detection. 1335-1341 - Zhishu Sun, Zhifeng Shen, Luojun Lin, Yuanlong Yu, Zhifeng Yang, Shicai Yang, Weijie Chen:
Dynamic Domain Generalization. 1342-1348 - Haoyue Tian, Pan Gao, Xiaojiang Peng:
Video Frame Interpolation Based on Deformable Kernel Region. 1349-1355 - Yu Tian, Xingliang Huang, Ruigang Niu, Hongfeng Yu, Peijin Wang, Xian Sun:
Hypertron: Explicit Social-Temporal Hypergraph Framework for Multi-Agent Forecasting. 1356-1362 - Emmeke Veltmeijer, Charlotte Gerritsen, Koen V. Hindriks:
Automatic Recognition of Emotional Subgroups in Images. 1363-1370 - Xiaopei Wan, Guoqiu Li, Yujiu Yang, Zhenhua Guo:
Augmenting Anchors by the Detector Itself. 1371-1377 - Guanchun Wang, Xiangrong Zhang, Zelin Peng, Xu Tang, Huiyu Zhou, Licheng Jiao:
Absolute Wrong Makes Better: Boosting Weakly Supervised Object Detection via Negative Deterministic Information. 1378-1384 - Haohan Wang, Liang Liu, Wuhao Zhang, Jiangning Zhang, Zhenye Gan, Yabiao Wang, Chengjie Wang, Haoqian Wang:
Iterative Few-shot Semantic Segmentation from Image Label Text. 1385-1392 - Heng Wang, Chaoyi Zhang, Jianhui Yu, Weidong Cai:
Spatiality-guided Transformer for 3D Dense Captioning on Point Clouds. 1393-1400 - Hong Wang, Yuexiang Li, Deyu Meng, Yefeng Zheng:
Adaptive Convolutional Dictionary Network for CT Metal Artifact Reduction. 1401-1407 - Hu Wang, Mao Ye, Xiatian Zhu, Shuai Li, Ce Zhu, Xue Li:
KUNet: Imaging Knowledge-Inspired Single HDR Image Reconstruction. 1408-1414 - Hua Wang, Linwei Qiu, Jingfei Hu, Jicong Zhang:
I2CNet: An Intra- and Inter-Class Context Information Fusion Network for Blastocyst Segmentation. 1415-1422 - Jiahao Wang, Jie Qin, Yunhong Wang, Annan Li:
PACE: Predictive and Contrastive Embedding for Unsupervised Action Segmentation. 1423-1429 - Kuo Wang, Yuxiang Nie, Chaowei Fang, Chengzhi Han, Xuewen Wu, Xiaohui Wang, Liang Lin, Fan Zhou, Guanbin Li:
Double-Check Soft Teacher for Semi-Supervised Object Detection. 1430-1436 - Luya Wang, Feng Liang, Yangguang Li, Honggang Zhang, Wanli Ouyang, Jing Shao:
RePre: Improving Self-Supervised Vision Transformer with Reconstructive Pre-training. 1437-1443 - Tao Wang, Jianglin Lu, Zhihui Lai, Jiajun Wen, Heng Kong:
Uncertainty-Guided Pixel Contrastive Learning for Semi-Supervised Medical Image Segmentation. 1444-1450 - Xiaoyang Wang, Jimin Xiao, Bingfeng Zhang, Limin Yu:
CARD: Semi-supervised Semantic Segmentation via Class-agnostic Relation based Denoising. 1451-1457 - Haoran Wei, Chenglong Liu, Ping Guo, Yangguang Zhu, Jiamei Fu, Bing Wang, Peng Wang:
Corner Affinity: A Robust Grouping Algorithm to Make Corner-guided Detector Great Again. 1458-1464 - Yuanbo Lin Wu, Deyin Liu, Xiaojie Guo, Richang Hong, Liangchen Liu, Rui Zhang:
Multi-scale Spatial Representation Learning via Recursive Hermite Polynomial Networks. 1465-1473 - Xiao Wu, Ting-Zhu Huang, Liang-Jian Deng, Tian-Jing Zhang:
A Decoder-free Transformer-like Architecture for High-efficiency Single Image Deraining. 1474-1480 - Jun Xia, Ting Wang, Jiepin Ding, Xian Wei, Mingsong Chen:
Eliminating Backdoor Triggers for Deep Neural Networks Using Attention Relation Graph Distillation. 1481-1487 - Feng Xiong, Jiayi Tian, Zhihui Hao, Yulin He, Xiaofeng Ren:
SCMT: Self-Correction Mean Teacher for Semi-supervised Object Detection. 1488-1494 - Jiazhi Xu, Sheng Huang, Fengtao Zhou, Luwen Huangfu, Daniel Zeng, Bo Liu:
Boosting Multi-Label Image Classification with Complementary Parallel Self-Distillation. 1495-1501 - Yu-Yan Xu, Yang Shen, Xiu-Shen Wei, Jian Yang:
Webly-Supervised Fine-Grained Recognition with Partial Label Learning. 1502-1508 - Zelin Xu, Yichen Zhang, Ke Chen, Kui Jia:
BiCo-Net: Regress Globally, Match Locally for Robust 6D Pose Estimation. 1509-1515 - Hanshu Yan, Jingfeng Zhang, Jiashi Feng, Masashi Sugiyama, Vincent Y. F. Tan:
Towards Adversarially Robust Deep Image Denoising. 1516-1522 - Yuming Yan, Huimin Yu, Shuzhao Li, Zhaohui Lu, Jianfeng He, Haozhuo Zhang, Runfa Wang:
Weakening the Influence of Clothing: Universal Clothing Attribute Disentanglement for Person Re-Identification. 1523-1529 - Zizheng Yan, Yushuang Wu, Guanbin Li, Yipeng Qin, Xiaoguang Han, Shuguang Cui:
Multi-level Consistency Learning for Semi-supervised Domain Adaptation. 1530-1536 - Ren Yang, Radu Timofte, Luc Van Gool:
Perceptual Learned Video Compression with Recurrent Conditional GAN. 1537-1544 - Shaopeng Yang, Weiyu Guo, Yuheng Ren:
CrowdFormer: An Overlap Patching Vision Transformer for Top-Down Crowd Counting. 1545-1551 - Shuo Yang, Xinxiao Wu:
Entity-aware and Motion-aware Transformers for Language-driven Action Localization. 1552-1558 - Zaiquan Yang, Yang Liu, Wenjia Xu, Chong Huang, Lei Zhou, Chao Tong:
Learning Prototype via Placeholder for Zero-shot Recognition. 1559-1565 - Guangming Yao, Hongzhi Wu, Yi Yuan, Lincheng Li, Kun Zhou, Xin Yu:
Learning Implicit Body Representations from Double Diffusion Based Neural Radiance Fields. 1566-1572 - Hongyi Yao, Pu Li, Jian Cao, Xiangcheng Liu, Chenying Xie, Bingzhang Wang:
RAPQ: Rescuing Accuracy for Power-of-Two Low-bit Post-training Quantization. 1573-1579 - Chong Yin, Siqi Liu, Vincent Wai-Sun Wong, Pong C. Yuen:
Learning Sparse Interpretable Features For NAS Scoring From Liver Biopsy Images. 1580-1586 - Jiaguo Yu, Yuming Shen, Menghan Wang, Haofeng Zhang, Philip H. S. Torr:
Learning to Hash Naturally Sorts. 1587-1593 - Yunlong Yu, Dingyi Zhang, Yingming Li, Zhongfei Zhang:
Multi-Proxy Learning from an Entropy Optimization Perspective. 1594-1600 - Edouard Yvinec, Arnaud Dapogny, Kevin Bailly:
To Fold or Not to Fold: a Necessary and Sufficient Condition on Batch-Normalization Layers Folding. 1601-1607 - Pengpeng Zeng, Haonan Zhang, Jingkuan Song, Lianli Gao:
S2 Transformer for Image Captioning. 1608-1614 - Binjie Zhang, Yixiao Ge, Yantao Shen, Shupeng Su, Fanzi Wu, Chun Yuan, Xuyuan Xu, Yexin Wang, Ying Shan:
Towards Universal Backward-Compatible Representation Learning. 1615-1621 - Jianrong Zhang, Tianyi Wu, Chuanghao Ding, Hongwei Zhao, Guodong Guo:
Region-level Contrastive and Consistency Learning for Semi-Supervised Semantic Segmentation. 1622-1628 - Ming Zhang, Xiaohui Kuang, Hu Li, Zhendong Wu, Yuanping Nie, Gang Zhao:
Improving Transferability of Adversarial Examples with Virtual Step and Auxiliary Gradients. 1629-1635 - Ming-Liang Zhang, Fei Yin, Yi-Han Hao, Cheng-Lin Liu:
Plane Geometry Diagram Parsing. 1636-1643 - Mingjin Zhang, Chengyu He, Jing Zhang, Yuxiang Yang, Xiaoqi Peng, Jie Guo:
SAR-to-Optical Image Translation via Neural Partial Differential Equations. 1644-1650 - Qi Zhang, Liang Hu, Longbing Cao, Chongyang Shi, Shoujin Wang, Dora D. Liu:
A Probabilistic Code Balance Constraint with Compactness and Informativeness Enhancement for Deep Supervised Hashing. 1651-1657 - Shan Zhang, Tianyi Wu, Sitong Wu, Guodong Guo:
CATrans: Context and Affinity Transformer for Few-Shot Segmentation. 1658-1664 - Wenyu Zhang, Li Shen, Wanyue Zhang, Chuan-Sheng Foo:
Few-Shot Adaptation of Pre-Trained Networks for Domain Shift. 1665-1671 - Yaoyuan Zhang, Yu-an Tan, Tian Chen, Xinrui Liu, Quanxin Zhang, Yuanzhang Li:
Enhancing the Transferability of Adversarial Examples with Random Patch. 1672-1678 - Yue Zhang, Wanying Ding, Ran Xu, Xiaohua Hu:
Visual Emotion Representation Learning via Emotion-Aware Pre-training. 1679-1685 - Zhengbo Zhang, Chunluan Zhou, Zhigang Tu:
Distilling Inter-Class Distance for Semantic Segmentation. 1686-1692 - Zhifeng Zhang, Xuejing Kang, Anlong Ming:
Domain Adversarial Learning for Color Constancy. 1693-1699 - Haiteng Zhao, Chang Ma, Qinyu Chen, Zhi-Hong Deng:
Domain Adaptation via Maximizing Surrogate Mutual Information. 1700-1706 - Minyi Zhao, Miao Wang, Fan Bai, Bingjia Li, Jie Wang, Shuigeng Zhou:
C3-STISR: Scene Text Image Super-resolution with Triple Clues. 1707-1713 - Pu Zhao, Parikshit Ram, Songtao Lu, Yuguang Yao, Djallel Bouneffouf, Xue Lin, Sijia Liu:
Learning to Generate Image Source-Agnostic Universal Adversarial Perturbations. 1714-1720 - Xingchen Zhao, Chang Liu, Anthony Sicilia, Seong Jae Hwang, Yun Fu:
Test-time Fourier Style Calibration for Domain Generalization. 1721-1727 - Meng Zheng, Srikrishna Karanam, Terrence Chen, Richard J. Radke, Ziyan Wu:
Visual Similarity Attention. 1728-1735 - Nan Zhong, Zhenxing Qian, Xinpeng Zhang:
Imperceptible Backdoor Attack: From Input Space to Feature Representation. 1736-1742 - Xian Zhong, Shidong Tu, Xianzheng Ma, Kui Jiang, Wenxin Huang, Zheng Wang:
Rainy WCity: A Real Rainfall Dataset with Diverse Conditions for Semantic Driving Scene Understanding. 1743-1749 - Feida Zhu, Junwei Zhu, Wenqing Chu, Ying Tai, Zhifeng Xie, Xiaoming Huang, Chengjie Wang:
HifiHead: One-Shot High Fidelity Neural Head Synthesis with 3D Control. 1750-1756 - Guijing Zhu, Long Ma, Xin Fan, Risheng Liu:
Hierarchical Bilevel Learning with Architecture and Loss Search for Hadamard-based Image Restoration. 1757-1764
Constraint Satisfaction and Optimization
- Dhananjay Ashok, Vineel Nagisetty, Christopher Srinivasa, Vijay Ganesh:
A Solver + Gradient Descent Training Algorithm for Deep Neural Networks. 1766-1773 - Ivan Bliznets, Danil Sagunov, Kirill Simonov:
Fine-grained Complexity of Partial Minimum Satisfiability. 1774-1780 - Benjamin Böhm, Tomás Peitl, Olaf Beyersdorff:
QCDCL with Cube Learning or Pure Literal Elimination - What is Best? 1781-1787 - Franz Brauße, Zurab Khasidashvili, Konstantin Korovin:
Combining Constraint Solving and Bayesian Techniques for System Optimization. 1788-1794 - Jeffrey M. Dudek, Aditya A. Shrotri, Moshe Y. Vardi:
DPSampler: Exact Weighted Sampling Using Dynamic Programming. 1795-1803 - Leif Eriksson, Victor Lagerkvist:
A Multivariate Complexity Analysis of Qualitative Reasoning Problems. 1804-1810 - Yi Feng, Ioannis Panageas, Xiao Wang:
Accelerated Multiplicative Weights Update Avoids Saddle Points Almost Always. 1811-1817 - Randy Hickey, Fahiem Bacchus:
Large Neighbourhood Search for Anytime MaxSAT Solving. 1818-1824 - Yuya Hikima, Yasunori Akagi, Naoki Marumo, Hideaki Kim:
Online Matching with Controllable Rewards and Arrival Probabilities. 1825-1833 - Cheng-Han Hsieh, Jie-Hong R. Jiang:
Encoding Probabilistic Graphical Models into Stochastic Boolean Satisfiability. 1834-1842 - Yexun Hu, Tai-Xiang Jiang, Xi-Le Zhao:
Degradation Accordant Plug-and-Play for Low-Rank Tensor Completion. 1843-1849 - Mikhail Kazdagli, Mohit Tiwari, Akshat Kumar:
Using Constraint Programming and Graph Representation Learning for Generating Interpretable Cloud Security Policies. 1850-1858 - Frédéric Koriche, Christophe Lecoutre, Anastasia Paparrizou, Hugues Wattez:
Best Heuristic Identification for Constraint Satisfaction. 1859-1865 - Jiaxin Liang, Feifei Ma, Junping Zhou, Minghao Yin:
AllSATCC: Boosting AllSAT Solving with Efficient Component Analysis. 1866-1872 - Grégoire Menguy, Sébastien Bardin, Nadjib Lazaar, Arnaud Gotlieb:
Automated Program Analysis: Revisiting Precondition Inference through Constraint Acquisition. 1873-1879 - Charles Vernerey, Samir Loudni, Noureddine Aribi, Yahia Lebbah:
Threshold-free Pattern Mining Meets Multi-Objective Optimization: Application to Association Rules. 1880-1886 - Mingyu Xiao:
An Exact MaxSAT Algorithm: Further Observations and Further Improvements. 1887-1893 - Oleg Zaikin:
Inverting 43-step MD4 via Cube-and-Conquer. 1894-1900 - Jiongzhi Zheng, Kun He, Jianrong Zhou, Yan Jin, Chu-Min Li, Felip Manyà:
BandMaxSAT: A Local Search MaxSAT Solver with Multi-armed Bandit. 1901-1907 - Jianrong Zhou, Kun He, Jiongzhi Zheng, Chu-Min Li, Yanli Liu:
A Strengthened Branch and Bound Algorithm for the Maximum Common (Connected) Subgraph Problem. 1908-1914
Data Mining
- Runxue Bao, Xidong Wu, Wenhan Xian, Heng Huang:
Doubly Sparse Asynchronous Learning for Stochastic Composite Optimization. 1916-1922 - Derun Cai, Moxian Song, Chenxi Sun, Baofeng Zhang, Shenda Hong, Hongyan Li:
Hypergraph Structure Learning for Hypergraph Neural Networks. 1923-1929 - Weishan Cai, Wenjun Ma, Jieyu Zhan, Yuncheng Jiang:
Entity Alignment with Reliable Path Reasoning and Relation-aware Heterogeneous Graph Transformer. 1930-1937 - Dorota Celinska-Kopczynska, Eryk Kopczynski:
Non-Euclidean Self-Organizing Maps. 1938-1944 - Ziwei Chai, Siqi You, Yang Yang, Shiliang Pu, Jiarong Xu, Haoyang Cai, Weihao Jiang:
Can Abnormality be Detected by Graph Neural Networks? 1945-1951 - Deepayan Chakrabarti, Benjamin Fauber:
Robust High-Dimensional Classification From Few Positive Examples. 1952-1958 - Chaochao Chen, Jun Zhou, Longfei Zheng, Huiwen Wu, Lingjuan Lyu, Jia Wu, Bingzhe Wu, Ziqi Liu, Li Wang, Xiaolin Zheng:
Vertically Federated Graph Neural Network for Privacy-Preserving Node Classification. 1959-1965 - Mingyang Chen, Wen Zhang, Zhen Yao, Xiangnan Chen, Mengxiao Ding, Fei Huang, Huajun Chen:
Meta-Learning Based Knowledge Extrapolation for Knowledge Graphs in the Federated Setting. 1966-1972 - Wei Chen, Shuzhe Li, Chao Huang, Yanwei Yu, Yongguo Jiang, Junyu Dong:
Mutual Distillation Learning Network for Trajectory-User Linking. 1973-1979 - Xuanang Chen, Jian Luo, Ben He, Le Sun, Yingfei Sun:
Towards Robust Dense Retrieval via Local Ranking Alignment. 1980-1986 - Zijian Chen, Rong-Hua Li, Hongchao Qin, Huanzhong Duan, Yanxiong Lu, Qiangqiang Dai, Guoren Wang:
Filtration-Enhanced Graph Transformation. 1987-1993 - Razvan-Gabriel Cirstea, Chenjuan Guo, Bin Yang, Tung Kieu, Xuanyi Dong, Shirui Pan:
Triformer: Triangular, Variable-Specific Attentions for Long Sequence Multivariate Time Series Forecasting. 1994-2001 - Ailin Deng, Adam Goodge, Lang Yi Ang, Bryan Hooi:
CADET: Calibrated Anomaly Detection for Mitigating Hardness Bias. 2002-2008 - Chenyou Fan, Junjie Hu, Jianwei Huang:
Private Semi-Supervised Federated Learning. 2009-2015 - Wei Fan, Kunpeng Liu, Hao Liu, Hengshu Zhu, Hui Xiong, Yanjie Fu:
Feature and Instance Joint Selection: A Reinforcement Learning Perspective. 2016-2022 - Yu Fan, Jiajie Xu, Rui Zhou, Jianxin Li, Kai Zheng, Lu Chen, Chengfei Liu:
MetaER-TTE: An Adaptive Meta-learning Model for En Route Travel Time Estimation. 2023-2029 - Ziquan Fang, Dongen Wu, Lu Pan, Lu Chen, Yunjun Gao:
When Transfer Learning Meets Cross-City Urban Flow Prediction: Spatio-Temporal Adaptation Matters. 2030-2036 - Vincent Froese, Pascal Kunz, Philipp Zschoche:
Disentangling the Computational Complexity of Network Untangling. 2037-2043 - Yifu Gao, Linhui Feng, Zhigang Kan, Yi Han, Linbo Qiao, Dongsheng Li:
Modeling Precursors for Temporal Knowledge Graph Reasoning via Auto-encoder Structure. 2044-2051 - Shuyun Gu, Xiao Wang, Chuan Shi, Ding Xiao:
Self-supervised Graph Neural Networks for Multi-behavior Recommendation. 2052-2058 - Xingtai Gui, Di Wu, Yang Chang, Shicai Fan:
Constrained Adaptive Projection with Pretrained Features for Anomaly Detection. 2059-2065 - Wenzheng Hou, Qianqian Xu, Ke Ma, Qianxiu Hao, Qingming Huang:
Quaternion Ordinal Embedding. 2066-2072 - Binbin Hu, Zhengwei Wu, Jun Zhou, Ziqi Liu, Zhigang Huangfu, Zhiqiang Zhang, Chaochao Chen:
MERIT: Learning Multi-level Representations on Temporal Graphs. 2073-2079 - Fenyu Hu, Liping Wang, Qiang Liu, Shu Wu, Liang Wang, Tieniu Tan:
GraphDIVE: Graph Classification by Mixture of Diverse Experts. 2080-2086 - Tiancheng Huang, Donglin Wang, Yuan Fang, Zhengyu Chen:
End-to-End Open-Set Semi-Supervised Node Classification with Out-of-Distribution Detection. 2087-2093 - Xuan Jiang, Zhiyong Yang, Peisong Wen, Li Su, Qingming Huang:
A Sparse-Motif Ensemble Graph Convolutional Network against Over-smoothing. 2094-2100 - Di Jin, Luzhi Wang, Yizhen Zheng, Xiang Li, Fei Jiang, Wei Lin, Shirui Pan:
CGMN: A Contrastive Graph Matching Network for Self-Supervised Graph Similarity Learning. 2101-2107 - Di Jin, Rui Wang, Meng Ge, Dongxiao He, Xiang Li, Wei Lin, Weixiong Zhang:
RAW-GNN: RAndom Walk Aggregation based Graph Neural Network. 2108-2114 - Hongwei Jin, Xun Chen:
Gromov-Wasserstein Discrepancy with Local Differential Privacy for Distributed Structural Graphs. 2115-2121 - Wei Ju, Xiao Luo, Meng Qu, Yifan Wang, Chong Chen, Minghua Deng, Xian-Sheng Hua, Ming Zhang:
TGNN: A Joint Semi-supervised Framework for Graph-level Classification. 2122-2128 - Geon Lee, Minyoung Choe, Kijung Shin:
HashNWalk: Hash and Random Walk Based Anomaly Detection in Hyperedge Streams. 2129-2137 - Muyang Li, Xiangyu Zhao, Chuan Lyu, Minghao Zhao, Runze Wu, Ruocheng Guo:
MLP4Rec: A Pure MLP Architecture for Sequential Recommendations. 2138-2144 - Yuhan Li, Wei Shen, Jianbo Gao, Yadong Wang:
Community Question Answering Entity Linking via Leveraging Auxiliary Data. 2145-2151 - Yujia Li, Shiliang Sun, Jing Zhao:
TiRGN: Time-Guided Recurrent Graph Network with Local-Global Historical Patterns for Temporal Knowledge Graph Reasoning. 2152-2158 - Fangyuan Luo, Jun Wu, Tao Wang:
Discrete Listwise Personalized Ranking for Fast Top-N Recommendation with Implicit Feedback. 2159-2165 - Jun Luo, Shandong Wu:
Adapt to Adaptation: Learning Personalization for Cross-Silo Federated Learning. 2166-2173 - Haiping Ma, Jingyuan Wang, Hengshu Zhu, Xin Xia, Haifeng Zhang, Xingyi Zhang, Lei Zhang:
Reconciling Cognitive Modeling with Knowledge Forgetting: A Continuous Time-aware Neural Network Approach. 2174-2181 - Yuhang Ma, Zhongle Xie, Jue Wang, Ke Chen, Lidan Shou:
Continual Federated Learning Based on Knowledge Distillation. 2182-2188 - Chuizheng Meng, Hao Niu, Guillaume Habault, Roberto Legaspi, Shinya Wada, Chihiro Ono, Yan Liu:
Physics-Informed Long-Sequence Forecasting From Multi-Resolution Spatiotemporal Data. 2189-2195 - Chen Qiu, Marius Kloft, Stephan Mandt, Maja Rudolph:
Raising the Bar in Graph-level Anomaly Detection. 2196-2203 - Dazhong Rong, Qinming He, Jianhai Chen:
Poisoning Deep Learning Based Recommender Model in Federated Learning Scenarios. 2204-2210 - Yuta Saito, Masahiro Nomura:
Towards Resolving Propensity Contradiction in Offline Recommender Learning. 2211-2217 - Xinyi Shang, Yang Lu, Gang Huang, Hanzi Wang:
Federated Learning on Heterogeneous and Long-Tailed Data via Classifier Re-Training with Federated Features. 2218-2224 - Wei Shao, Zhiling Jin, Shuo Wang, Yufan Kang, Xiao Xiao, Hamid Menouar, Zhaofeng Zhang, Junshan Zhang, Flora D. Salim:
Long-term Spatio-Temporal Forecasting via Dynamic Multiple-Graph Attention. 2225-2232 - Yifei Sun, Haoran Deng, Yang Yang, Chunping Wang, Jiarong Xu, Renhong Huang, Linfeng Cao, Yang Wang, Lei Chen:
Beyond Homophily: Structure-aware Path Aggregation Graph Neural Network. 2233-2240 - Xueyang Tang, Song Guo, Jingcai Guo:
Personalized Federated Learning with Contextualized Generalization. 2241-2247 - Zhenwei Tang, Shichao Pei, Zhao Zhang, Yongchun Zhu, Fuzhen Zhuang, Robert Hoehndorf, Xiangliang Zhang:
Positive-Unlabeled Learning with Adversarial Data Augmentation for Knowledge Graph Completion. 2248-2254 - Bowen Tian, Qinliang Su, Jian Yin:
Anomaly Detection by Leveraging Incomplete Anomalous Knowledge with Anomaly-Aware Bidirectional GANs. 2255-2261 - Hung-Nghiep Tran, Atsuhiro Takasu:
MEIM: Multi-partition Embedding Interaction Beyond Block Term Format for Efficient and Expressive Link Prediction. 2262-2269 - Fan Wang, Weiming Liu, Chaochao Chen, Mengying Zhu, Xiaolin Zheng:
HCFRec: Hash Collaborative Filtering via Normalized Flow with Structural Consensus for Efficient Recommendation. 2270-2276 - Jiang Wang, Filip Ilievski, Pedro A. Szekely, Ke-Thia Yao:
Augmenting Knowledge Graphs for Better Link Prediction. 2277-2283 - Song Wang, Yushun Dong, Xiao Huang, Chen Chen, Jundong Li:
FAITH: Few-Shot Graph Classification with Hierarchical Task Graphs. 2284-2290 - Xintao Wang, Qianyu He, Jiaqing Liang, Yanghua Xiao:
Language Models as Knowledge Embeddings. 2291-2297 - Yuling Wang, Hao Xu, Yanhua Yu, Mengdi Zhang, Zhenhao Li, Yuji Yang, Wei Wu:
Ensemble Multi-Relational Graph Neural Networks. 2298-2304 - Xin-Cheng Wen, Jiaxin Ye, Yan Luo, Yong Xu, Xuan-Ze Wang, Chang-Li Wu, Kun-Hong Liu:
CTL-MTNet: A Novel CapsNet and Transfer Learning-Based Mixed Task Net for Single-Corpus and Cross-Corpus Speech Emotion Recognition. 2305-2311 - Shangbin Wu, Xu Yan, Xiaoliang Fan, Shirui Pan, Shichao Zhu, Chuanpan Zheng, Ming Cheng, Cheng Wang:
Multi-Graph Fusion Networks for Urban Region Embedding. 2312-2318 - Shuang Wu, Jingyu Zhao, Guangjian Tian:
Understanding and Mitigating Data Contamination in Deep Anomaly Detection: A Kernel-based Approach. 2319-2325 - Yawen Wu, Zhepeng Wang, Dewen Zeng, Meng Li, Yiyu Shi, Jingtong Hu:
Decentralized Unsupervised Learning of Visual Representations. 2326-2333 - Yuezhou Wu, Yan Kang, Jiahuan Luo, Yuanqin He, Lixin Fan, Rong Pan, Qiang Yang:
FedCG: Leverage Conditional GAN for Protecting Privacy and Maintaining Competitive Performance in Federated Learning. 2334-2340 - Xiaohan Xu, Peng Zhang, Yongquan He, Chengpeng Chao, Chaoyang Yan:
Subgraph Neighboring Relations Infomax for Inductive Link Prediction on Knowledge Graphs. 2341-2347 - Chaoqi Yang, Cheng Qian, Jimeng Sun:
GOCPT: Generalized Online Canonical Polyadic Tensor Factorization and Completion. 2348-2354 - Chenxiao Yang, Qitian Wu, Jipeng Jin, Xiaofeng Gao, Junwei Pan, Guihai Chen:
Trading Hard Negatives and True Negatives: A Debiased Contrastive Collaborative Filtering Approach. 2355-2361 - Hongyuan Yu, Ting Li, Weichen Yu, Jianguo Li, Yan Huang, Liang Wang, Alex X. Liu:
Regularized Graph Structure Learning with Semantic Knowledge for Multi-variates Time-Series Forecasting. 2362-2368 - Daoguang Zan, Bei Chen, Dejian Yang, Zeqi Lin, Minsu Kim, Bei Guan, Yongji Wang, Weizhu Chen, Jian-Guang Lou:
CERT: Continual Pre-training on Sketches for Library-oriented Code Generation. 2369-2375 - Jiaqiang Zhang, Senzhang Wang, Songcan Chen:
Reconstruction Enhanced Multi-View Contrastive Learning for Anomaly Detection on Attributed Networks. 2376-2382 - Ruixing Zhang, Liangzhe Han, Boyi Liu, Jiayuan Zeng, Leilei Sun:
Dynamic Graph Learning Based on Hierarchical Memory for Origin-Destination Demand Prediction. 2383-2389 - Weiqi Zhang, Chen Zhang, Fugee Tsung:
GRELEN: Multivariate Time Series Anomaly Detection from the Perspective of Graph Relational Learning. 2390-2397 - Yixin Zhang, Yong Liu, Yonghui Xu, Hao Xiong, Chenyi Lei, Wei He, Lizhen Cui, Chunyan Miao:
Enhancing Sequential Recommendation with Graph Contrastive Learning. 2398-2405 - Pu Zhao, Chuan Luo, Bo Qiao, Lu Wang, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang:
T-SMOTE: Temporal-oriented Synthetic Minority Oversampling Technique for Imbalanced Time Series Classification. 2406-2412 - Jiaqi Zheng, Xi Zhang, Sanchuan Guo, Quan Wang, Wenyu Zang, Yongdong Zhang:
MFAN: Multi-modal Feature-enhanced Attention Networks for Rumor Detection. 2413-2419 - Kaixiong Zhou, Zirui Liu, Rui Chen, Li Li, Soo-Hyun Choi, Xia Hu:
Table2Graph: Transforming Tabular Data to Unified Weighted Graph. 2420-2426 - Heng Zhu, Qing Ling:
Bridging Differential Privacy and Byzantine-Robustness via Model Aggregation. 2427-2433 - Zulun Zhu, Jiaying Peng, Jintang Li, Liang Chen, Qi Yu, Siqiang Luo:
Spiking Graph Convolutional Networks. 2434-2440 - Yuanxin Zhuang, Lingjuan Lyu, Chuan Shi, Carl Yang, Lichao Sun:
Data-Free Adversarial Knowledge Distillation for Graph Neural Networks. 2441-2447 - Wei Zhuo, Guang Tan:
Proximity Enhanced Graph Neural Networks with Channel Contrast. 2448-2455
Humans and AI
- Varun Babbar, Umang Bhatt, Adrian Weller:
On the Utility of Prediction Sets in Human-AI Teams. 2457-2463 - Zheng Chen, Lingwei Zhu, Ziwei Yang, Renyuan Zhang:
Multi-Tier Platform for Cognizing Massive Electroencephalogram. 2464-2470 - Lang Feng, Qianhui Liu, Huajin Tang, De Ma, Gang Pan:
Multi-Level Firing with Spiking DS-ResNet: Enabling Better and Deeper Directly-Trained Spiking Neural Networks. 2471-2477 - Patrick Hemmer, Sebastian Schellhammer, Michael Vössing, Johannes Jakubik, Gerhard Satzger:
Forming Effective Human-AI Teams: Building Machine Learning Models that Complement the Capabilities of Multiple Experts. 2478-2484 - Yang Li, Yi Zeng:
Efficient and Accurate Conversion of Spiking Neural Network with Burst Spikes. 2485-2491 - Sangwon Seo, Vaibhav V. Unhelkar:
Semi-Supervised Imitation Learning of Team Policies from Suboptimal Demonstrations. 2492-2500 - Yuchen Wang, Malu Zhang, Yi Chen, Hong Qu:
Signed Neuron with Memory: Towards Simple, Accurate and High-Efficient ANN-SNN Conversion. 2501-2508 - Chuhan Wu, Fangzhao Wu, Yongfeng Huang:
Rethinking InfoNCE: How Many Negative Samples Do You Need? 2509-2515
Knowledge Representation and Reasoning
- Gianvincenzo Alfano, Sergio Greco, Francesco Parisi, Irina Trubitsyna:
On Preferences and Priority Rules in Abstract Argumentation. 2517-2524 - Benjamin Aminof, Giuseppe De Giacomo, Sasha Rubin, Florian Zuleger:
Beyond Strong-Cyclic: Doing Your Best in Stochastic Environments. 2525-2531 - Ofer Arieli, Kees van Berkel, Christian Straßer:
Annotated Sequent Calculi for Paraconsistent Reasoning and Their Relations to Logical Argumentation. 2532-2538 - Ringo Baumann, Matti Berthold:
Limits and Possibilities of Forgetting in Abstract Argumentation. 2539-2545 - Viktor Besin, Markus Hecher, Stefan Woltran:
Body-Decoupled Grounding via Solving: A Novel Approach on the ASP Bottleneck. 2546-2552 - Diego Calvanese, Giuseppe De Giacomo, Marco Montali, Fabio Patrizi:
Verification and Monitoring for First-Order LTL with Persistence-Preserving Quantification over Finite and Infinite Traces. 2553-2560 - Rui Cao, Pavel Naumov:
The Limits of Morality in Strategic Games. 2561-2567 - Sourav Chakraborty, Avijeet Ghosh, Sujata Ghosh, François Schwarzentruber:
On Verifying Expectations and Observations of Intelligent Agents. 2568-2574 - Fengwen Chen, Guodong Long, Zonghan Wu, Tianyi Zhou, Jing Jiang:
Personalized Federated Learning With a Graph. 2575-2582 - Alexis de Colnet, Pierre Marquis:
On the Complexity of Enumerating Prime Implicants from Decision-DNNF Circuits. 2583-2590 - Giuseppe De Giacomo, Marco Favorito, Jianwen Li, Moshe Y. Vardi, Shengping Xiao, Shufang Zhu:
LTLf Synthesis as AND-OR Graph Search: Knowledge Compilation at Work. 2591-2598 - James P. Delgrande, Joshua Sack, Gerhard Lakemeyer, Maurice Pagnucco:
Epistemic Logic of Likelihood and Belief. 2599-2605 - Carmine Dodaro, Valeria Fionda, Gianluigi Greco:
LTL on Weighted Finite Traces: Formal Foundations and Algorithms. 2606-2612 - Bettina Fazzinga, Sergio Flesca, Filippo Furfaro:
Abstract Argumentation Frameworks with Marginal Probabilities. 2613-2619 - Johannes Klaus Fichte, Markus Hecher, Mohamed A. Nadeem:
Plausibility Reasoning via Projected Answer Set Counting - A Hybrid Approach. 2620-2626 - Maurice Funk, Jean Christoph Jung, Carsten Lutz:
Frontiers and Exact Learning of ELI Queries under DL-Lite Ontologies. 2627-2633 - Sarah Alice Gaggl, Philipp Hanisch, Markus Krötzsch:
Simulating Sets in Answer Set Programming. 2634-2640 - Luca Geatti, Alessandro Gianola, Nicola Gigante:
Linear Temporal Logic Modulo Theories over Finite Traces. 2641-2647 - Andreas Herzig, Emiliano Lorini, Elise Perrotin:
A Computationally Grounded Logic of 'Seeing-to-it-that'. 2648-2654 - Jesse Heyninck, Gabriele Kern-Isberner, Tjitze Rienstra, Kenneth Skiba, Matthias Thimm:
Possibilistic Logic Underlies Abstract Dialectical Frameworks. 2655-2661 - Jesse Heyninck, Gabriele Kern-Isberner, Thomas Andreas Meyer:
Lexicographic Entailment, Syntax Splitting and the Drowning Problem. 2662-2668 - Moritz Illich, Birte Glimm:
Computing Concept Referring Expressions for Queries on Horn ALC Ontologies. 2669-2675 - Junli Jiang, Pavel Naumov:
The Egocentric Logic of Preferences. 2676-2682 - Junli Jiang, Pavel Naumov:
In Data We Trust: The Logic of Trust-Based Beliefs. 2683-2689 - Gabriele Kern-Isberner, Jesse Heyninck, Christoph Beierle:
Conditional Independence for Iterated Belief Revision. 2690-2696 - Mark Law, Krysia Broda, Alessandra Russo:
Search Space Expansion for Efficient Incremental Inductive Logic Programming from Streamed Data. 2697-2704 - Thomas Lukasiewicz, Enrico Malizia, Cristian Molinaro:
Explanations for Negative Query Answers under Inconsistency-Tolerant Semantics. 2705-2711 - Scott Mueller, Ang Li, Judea Pearl:
Causes of Effects: Learning Individual Responses from Population Data. 2712-2718 - Nir Oren, Bruno Yun, Srdjan Vesic, Murilo S. Baptista:
Inverse Problems for Gradual Semantics. 2719-2725 - Stanislaw J. Purgal, David M. Cerna, Cezary Kaliszyk:
Learning Higher-Order Logic Programs From Failures. 2726-2733 - Meliha Sezgin, Gabriele Kern-Isberner:
Revision by Comparison for Ranking Functions. 2734-2740 - Yi-Dong Shen, Thomas Eiter:
Considering Constraint Monotonicity and Foundedness in Answer Set Programming. 2741-2747 - Karim Tabia:
Updating Probability Intervals with Uncertain Inputs. 2748-2754 - Huijuan Wang, Siming Dai, Weiyue Su, Hui Zhong, Zeyang Fang, Zhengjie Huang, Shikun Feng, Zeyu Chen, Yu Sun, Dianhai Yu:
Simple and Effective Relation-based Embedding Propagation for Knowledge Representation Learning. 2755-2761 - Yichong Xu, Chenguang Zhu, Shuohang Wang, Siqi Sun, Hao Cheng, Xiaodong Liu, Jianfeng Gao, Pengcheng He, Michael Zeng, Xuedong Huang:
Human Parity on CommonsenseQA: Augmenting Self-Attention with External Attention. 2762-2768 - Liqi Yan, Qifan Wang, Yiming Cui, Fuli Feng, Xiaojun Quan, Xiangyu Zhang, Dongfang Liu:
GL-RG: Global-Local Representation Granularity for Video Captioning. 2769-2775 - Hong Zhang, Ji Liu, Juncheng Jia, Yang Zhou, Huaiyu Dai, Dejing Dou:
FedDUAP: Federated Learning with Dynamic Update and Adaptive Pruning Using Shared Data on the Server. 2776-2782 - Shufang Zhu, Giuseppe De Giacomo:
Synthesis of Maximally Permissive Strategies for LTLf Specifications. 2783-2789
Machine Learning
- Amitoz Azad:
Learning Label Initialization for Time-Dependent Harmonic Extension. 2791-2797 - Mohammad Javad Azizi, Branislav Kveton, Mohammad Ghavamzadeh:
Fixed-Budget Best-Arm Identification in Structured Bandits. 2798-2804 - Wonho Bae, Junhyug Noh, Milad Jalali Asadabadi, Danica J. Sutherland:
One Weird Trick to Improve Your Semi-Weakly Supervised Semantic Segmentation Model. 2805-2811 - Duhyeon Bang, Kyungjune Baek, Jiwoo Kim, Yunho Jeon, Jin-Hwa Kim, Jiwon Kim, Jongwuk Lee, Hyunjung Shim:
Logit Mixing Training for More Reliable and Accurate Prediction. 2812-2819 - Patrick Betz, Christian Meilicke, Heiner Stuckenschmidt:
Adversarial Explanations for Knowledge Graph Embeddings. 2820-2826 - Ryan Burnell, John Burden, Danaja Rutar, Konstantinos Voudouris, Lucy Cheke, José Hernández-Orallo:
Not a Number: Identifying Instance Features for Capability-Oriented Evaluation. 2827-2835 - Nan Cao, Teng Zhang, Xuanhua Shi, Hai Jin:
Posistive-Unlabeled Learning via Optimal Transport and Margin Distribution. 2836-2842 - Chris U. Carmona, François-Xavier Aubet, Valentin Flunkert, Jan Gasthaus:
Neural Contextual Anomaly Detection for Time Series. 2843-2851 - Deli Chen, Yankai Lin, Lei Li, Xuancheng Ren, Peng Li, Jie Zhou, Xu Sun:
Rethinking the Promotion Brought by Contrastive Learning to Semi-Supervised Node Classification. 2852-2858 - Shiyan Chen, Chaoteng Duan, Zhaofei Yu, Ruiqin Xiong, Tiejun Huang:
Self-Supervised Mutual Learning for Dynamic Scene Reconstruction of Spiking Camera. 2859-2866 - Xiyuan Chen, Xingyu Li, Yi Zhou, Tianming Yang:
DDDM: A Brain-Inspired Framework for Robust Classification. 2867-2873 - Ziqiu Chi, Zhe Wang, Mengping Yang, Wei Guo, Xinlei Xu:
Better Embedding and More Shots for Few-shot Learning. 2874-2880 - Yae Jee Cho, Andre Manoel, Gauri Joshi, Robert Sim, Dimitrios Dimitriadis:
Heterogeneous Ensemble Knowledge Transfer for Training Large Models in Federated Learning. 2881-2887 - Hwanil Choi, Wonjoon Chang, Jaesik Choi:
Can We Find Neurons that Cause Unrealistic Images in Deep Generative Networks? 2888-2894 - Yoni Choukroun, Lior Wolf:
Geometric Transformer for End-to-End Molecule Properties Prediction. 2895-2901 - Kamil Deja, Pawel Wawrzynski, Wojciech Masarczyk, Daniel Marczak, Tomasz Trzcinski:
Multiband VAE: Latent Space Alignment for Knowledge Consolidation in Continual Learning. 2902-2908 - Floris den Hengst, Vincent François-Lavet, Mark Hoogendoorn, Frank van Harmelen:
Reinforcement Learning with Option Machines. 2909-2915 - Prathamesh Deshpande, Sunita Sarawagi:
Coherent Probabilistic Aggregate Queries on Long-horizon Forecasts. 2916-2922 - Franck Djeumou, Cyrus Neary, Eric Goubault, Sylvie Putot, Ufuk Topcu:
Taylor-Lagrange Neural Ordinary Differential Equations: Toward Fast Training and Evaluation of Neural ODEs. 2923-2929 - Nanqing Dong, Matteo Maggioni, Yongxin Yang, Eduardo Pérez-Pellitero, Ales Leonardis, Steven McDonagh:
Residual Contrastive Learning for Image Reconstruction: Learning Transferable Representations from Noisy Images. 2930-2936 - Chunliu Dou, Shaojuan Wu, Xiaowang Zhang, Zhiyong Feng, Kewen Wang:
Function-words Adaptively Enhanced Attention Networks for Few-Shot Inverse Relation Classification. 2937-2943 - Yue Fan, Xiuli Ma:
Multi-Vector Embedding on Networks with Taxonomies. 2944-2950 - Boli Fang:
Fixed-Budget Pure Exploration in Multinomial Logit Bandits. 2951-2957 - Cheng Feng, Chaoliang Zhong, Jie Wang, Ying Zhang, Jun Sun, Yasuto Yokota:
Learning Unforgotten Domain-Invariant Representations for Online Unsupervised Domain Adaptation. 2958-2965 - Zunlei Feng, Tian Qiu, Sai Wu, Xiaotuan Jin, Zengliang He, Mingli Song, Huiqiong Wang:
Comparison Knowledge Translation for Generalizable Image Classification. 2966-2972 - Cèsar Ferri, José Hernández-Orallo, Jan Arne Telle:
Non-Cheating Teaching Revisited: A New Probabilistic Machine Teaching Model. 2973-2979 - Asadullah Hill Galib, Andrew McDonald, Tyler Wilson, Lifeng Luo, Pang-Ning Tan:
DeepExtrema: A Deep Learning Approach for Forecasting Block Maxima in Time Series Data. 2980-2986 - Jiangzhang Gan, Rongyao Hu, Mengmeng Zhan, Yujie Mo, Yingying Wan, Xiaofeng Zhu:
Multi-view Unsupervised Graph Representation Learning. 2987-2993 - Ge Gao, Qitong Gao, Xi Yang, Miroslav Pajic, Min Chi:
A Reinforcement Learning-Informed Pattern Mining Framework for Multivariate Time Series Classification. 2994-3000 - Hang Gao, Jiangmeng Li, Wenwen Qiang, Lingyu Si, Fuchun Sun, Changwen Zheng:
Bootstrapping Informative Graph Augmentation via A Meta Learning Approach. 3001-3007 - Kun Gao, Katsumi Inoue, Yongzhi Cao, Hanpin Wang:
Learning First-Order Rules with Differentiable Logic Program Semantics. 3008-3014 - Lei Gong, Sihang Zhou, Wenxuan Tu, Xinwang Liu:
Attributed Graph Clustering with Dual Redundancy Reduction. 3015-3021 - Pascale Gourdeau, Varun Kanade, Marta Kwiatkowska, James Worrell:
Sample Complexity Bounds for Robustly Learning Decision Lists against Evasion Attacks. 3022-3028 - Sheng Guan, Hanchao Ma, Yinghui Wu:
RoboGNN: Robustifying Node Classification under Link Perturbation. 3029-3035 - Dongge Han, Sebastian Tschiatschek:
Option Transfer and SMDP Abstraction with Successor Features. 3036-3042 - Dominik Hintersdorf, Lukas Struppek, Kristian Kersting:
To Trust or Not To Trust Prediction Scores for Membership Inference Attacks. 3043-3049 - Niklas Höpner, Ilaria Tiddi, Herke van Hoof:
Leveraging Class Abstraction for Commonsense Reinforcement Learning via Residual Policy Gradient Methods. 3050-3056 - Minyang Hu, Hong Chang, Bingpeng Ma, Shiguang Shan:
Learning Continuous Graph Structure with Bilevel Programming for Graph Neural Networks. 3057-3063 - Pengbo Hu, Xingyu Li, Yi Zhou:
SHAPE: An Unified Approach to Evaluate the Contribution and Cooperation of Individual Modalities. 3064-3070 - Tao Hu, Shiliang Sun, Jing Zhao, Dongyu Shi:
Enhancing Unsupervised Domain Adaptation via Semantic Similarity Constraint for Medical Image Segmentation. 3071-3077 - Zhiwei Hu, Víctor Gutiérrez-Basulto, Zhiliang Xiang, Xiaoli Li, Ru Li, Jeff Z. Pan:
Type-aware Embeddings for Multi-Hop Reasoning over Knowledge Graphs. 3078-3084 - Hao Huang, Keqi Han, Beicheng Xu, Ting Gan:
Reconstructing Diffusion Networks from Incomplete Data. 3085-3091 - Junyu Huang, Qilong Feng, Ziyun Huang, Jinhui Xu, Jianxin Wang:
FLS: A New Local Search Algorithm for K-means with Smaller Search Space. 3092-3098 - Peide Huang, Mengdi Xu, Fei Fang, Ding Zhao:
Robust Reinforcement Learning as a Stackelberg Game via Adaptively-Regularized Adversarial Training. 3099-3106 - Di Jiang, Yuan Cao, Qiang Yang:
On the Channel Pruning using Graph Convolution Network for Convolutional Neural Network Acceleration. 3107-3113 - Kun Jing, Jungang Xu, Pengfei Li:
Graph Masked Autoencoder Enhanced Predictor for Neural Architecture Search. 3114-3120 - Byunggill Joe, Insik Shin, Jihun Hamm:
Online Evasion Attacks on Recurrent Models: The Power of Hallucinating the Future. 3121-3127 - Mateusz Jurewicz, Leon Derczynski:
Set Interdependence Transformer: Set-to-Sequence Neural Networks for Permutation Learning and Structure Prediction. 3128-3134 - Rushang Karia, Siddharth Srivastava:
Relational Abstractions for Generalized Reinforcement Learning on Symbolic Problems. 3135-3142 - Jinhyeon Kim, Kee-Eung Kim:
Data Augmentation for Learning to Play in Text-Based Games. 3143-3149 - Kyungsoo Kim, Jeongsoo Ha, Yusung Kim:
Self-Predictive Dynamics for Generalization of Vision-based Reinforcement Learning. 3150-3156 - Seoyoon Kim, Seongjun Yun, Jaewoo Kang:
DyGRAIN: An Incremental Learning Framework for Dynamic Graphs. 3157-3163 - Fang Kong, Junming Yin, Shuai Li:
Thompson Sampling for Bandit Learning in Matching Markets. 3164-3170 - Hyun-Rok Lee, Ram Ananth Sreenivasan, Yeonjeong Jeong, Jongseong Jang, Dongsub Shim, Chi-Guhn Lee:
Multi-policy Grounding and Ensemble Policy Learning for Transfer Learning with Dynamics Mismatch. 3171-3177 - Kyungmin Lee, Hyeongkeun Lee:
Pseudo-spherical Knowledge Distillation. 3178-3184 - Sangkyun Lee, Sungmin Han:
Libra-CAM: An Activation-Based Attribution Based on the Linear Approximation of Deep Neural Nets and Threshold Calibration. 3185-3191 - See Hian Lee, Feng Ji, Wee Peng Tay:
SGAT: Simplicial Graph Attention Network. 3192-3200 - Guanglin Li, Bin Li, Changsheng Chen, Shunquan Tan, Guoping Qiu:
Learning General Gaussian Mixture Model with Integral Cosine Similarity. 3201-3207 - Jian Li, Yong Liu, Yingying Zhang:
Ridgeless Regression with Random Features. 3208-3214 - Jin Li, Zhong Ji, Gang Wang, Qiang Wang, Feng Gao:
Learning from Students: Online Contrastive Distillation Network for General Continual Learning. 3215-3221 - Lei Li, Kai Fan, Chun Yuan:
Cross-modal Representation Learning and Relation Reasoning for Bidirectional Adaptive Manipulation. 3222-3228 - Shen Li, Bryan Hooi:
Neural PCA for Flow-Based Representation Learning. 3229-3235 - Yanyu Li, Pu Zhao, Geng Yuan, Xue Lin, Yanzhi Wang, Xin Chen:
Pruning-as-Search: Efficient Neural Architecture Search via Channel Pruning and Structural Reparameterization. 3236-3242 - Ziang Li, Ming Ding, Weikai Li, Zihan Wang, Ziyu Zeng, Yukuo Cen, Jie Tang:
Rethinking the Setting of Semi-supervised Learning on Graphs. 3243-3249 - Fangfei Lin, Bing Bai, Kun Bai, Yazhou Ren, Peng Zhao, Zenglin Xu:
Contrastive Multi-view Hyperbolic Hierarchical Clustering. 3250-3256 - Zichuan Lin, Junyou Li, Jianing Shi, Deheng Ye, Qiang Fu, Wei Yang:
JueWu-MC: Playing Minecraft with Sample-efficient Hierarchical Reinforcement Learning. 3257-3263 - Yuhang Liu, Wei Wei, Daowan Peng, Feida Zhu:
Declaration-based Prompt Tuning for Visual Question Answering. 3264-3270 - Zhaoqiang Liu, Jun Han:
Projected Gradient Descent Algorithms for Solving Nonlinear Inverse Problems with Generative Priors. 3271-3277 - Yangdi Lu, Wenbo He:
SELC: Self-Ensemble Label Correction Improves Learning with Noisy Labels. 3278-3284 - Hengheng Luo, Yabin Zhang, Suyun Zhao, Hong Chen, Cuiping Li:
Exploring Binary Classification Hidden within Partial Label Learning. 3285-3291 - Weilin Luo, Hai Wan, Jianfeng Du, Xiaoda Li, Yuze Fu, Rongzhen Ye, Delong Zhang:
Teaching LTLf Satisfiability Checking to Neural Networks. 3292-3298 - Yin-Jyun Luo, Sebastian Ewert, Simon Dixon:
Towards Robust Unsupervised Disentanglement of Sequential Data - A Case Study Using Music Audio. 3299-3305 - Gengyu Lyu, Yanan Wu, Songhe Feng:
Deep Graph Matching for Partial Label Learning. 3306-3312 - Xin Ma, Won Hwa Kim:
Locally Normalized Soft Contrastive Clustering for Compact Clusters. 3313-3320 - Yuzhe Ma, Young Wu, Xiaojin Zhu:
Game Redesign in No-regret Game Playing. 3321-3327 - Andrew McDonald, Pang-Ning Tan, Lifeng Luo:
COMET Flows: Towards Generative Modeling of Multivariate Extremes and Tail Dependence. 3328-3334 - Bernhard Alois Moser, Michal Lewandowski, Somayeh Kargaran, Werner Zellinger, Battista Biggio, Christoph Koutschan:
Tessellation-Filtering ReLU Neural Networks. 3335-3341 - Ningping Mou, Baolin Zheng, Qian Wang, Yunjie Ge, Binqing Guo:
A Few Seconds Can Change Everything: Fast Decision-based Attacks against DNNs. 3342-3350 - Nairouz Mrabah, Mohamed Bouguessa, Riadh Ksantini:
Escaping Feature Twist: A Variational Graph Auto-Encoder for Node Clustering. 3351-3357 - Adithya Murali, Atharva Sehgal, Paul Krogmeier, P. Madhusudan:
Composing Neural Learning and Symbolic Reasoning with an Application to Visual Discrimination. 3358-3365 - Nikita Muravev, Aleksandr Petiushko:
Certified Robustness via Randomized Smoothing over Multiplicative Parameters of Input Transformations. 3366-3372 - Jihong Ouyang, Yiming Wang, Ximing Li, Changchun Li:
Weakly-supervised Text Classification with Wasserstein Barycenters Regularization. 3373-3379 - Milan Peelman, Antoon Bronselaer, Guy De Tré:
Search-based Reinforcement Learning through Bandit Linear Optimization. 3380-3386 - Meng-Zhang Qian, Zheng Ai, Teng Zhang, Wei Gao:
On the Optimization of Margin Distribution. 3387-3393 - Anshuka Rangi, Haifeng Xu, Long Tran-Thanh, Massimo Franceschetti:
Understanding the Limits of Poisoning Attacks in Episodic Reinforcement Learning. 3394-3400 - Giulia Romano, Andrea Agostini, Francesco Trovò, Nicola Gatti, Marcello Restelli:
Multi-Armed Bandit Problem with Temporally-Partitioned Rewards: When Partial Feedback Counts. 3401-3407 - Alessandro Ronca, Gabriel Paludo Licks, Giuseppe De Giacomo:
Markov Abstractions for PAC Reinforcement Learning in Non-Markov Decision Processes. 3408-3415 - Tong Sang, Hongyao Tang, Yi Ma, Jianye Hao, Yan Zheng, Zhaopeng Meng, Boyan Li, Zhen Wang:
PAnDR: Fast Adaptation to New Environments from Offline Experiences via Decoupling Policy and Environment Representations. 3416-3422 - Qiang Shen, Haotian Feng, Rui Song, Stefano Teso, Fausto Giunchiglia, Hao Xu:
Federated Multi-Task Attention for Cross-Individual Human Activity Recognition. 3423-3429 - Joar Skalse, Lewis Hammond, Charlie Griffin, Alessandro Abate:
Lexicographic Multi-Objective Reinforcement Learning. 3430-3436 - Ghada Sokar, Elena Mocanu, Decebal Constantin Mocanu, Mykola Pechenizkiy, Peter Stone:
Dynamic Sparse Training for Deep Reinforcement Learning. 3437-3443 - Chenyu Sun, Hangwei Qian, Chunyan Miao:
CCLF: A Contrastive-Curiosity-Driven Learning Framework for Sample-Efficient Reinforcement Learning. 3444-3450 - Yinbo Sun, Lintao Ma, Yu Liu, Shijun Wang, James Zhang, Yangfei Zheng, Hu Yun, Lei Lei, Yulin Kang, Llinbao Ye:
Memory Augmented State Space Model for Time Series Forecasting. 3451-3457 - Jiajia Tang, Kang Li, Ming Hou, Xuanyu Jin, Wanzeng Kong, Yu Ding, Qibin Zhao:
MMT: Multi-way Multi-modal Transformer for Multimodal Learning. 3458-3465 - Yijun Tian, Chuxu Zhang, Zhichun Guo, Chao Huang, Ronald A. Metoyer, Nitesh V. Chawla:
RecipeRec: A Heterogeneous Graph Learning Model for Recipe Recommendation. 3466-3472 - Yijun Tian, Chuxu Zhang, Zhichun Guo, Yihong Ma, Ronald A. Metoyer, Nitesh V. Chawla:
Recipe2Vec: Multi-modal Recipe Representation Learning with Graph Neural Networks. 3473-3479 - Matteo Tiezzi, Simone Marullo, Lapo Faggi, Enrico Meloni, Alessandro Betti, Stefano Melacci:
Stochastic Coherence Over Attention Trajectory For Continuous Learning In Video Streams. 3480-3486 - Finbarr Timbers, Nolan Bard, Edward Lockhart, Marc Lanctot, Martin Schmid, Neil Burch, Julian Schrittwieser, Thomas Hubert, Michael Bowling:
Approximate Exploitability: Learning a Best Response. 3487-3493 - Wenxuan Tu, Sihang Zhou, Xinwang Liu, Yue Liu, Zhiping Cai, En Zhu, Changwang Zhang, Jieren Cheng:
Initializing Then Refining: A Simple Graph Attribute Imputation Network. 3494-3500 - Zongqi Wan, Xiaoming Sun, Jialin Zhang:
Bounded Memory Adversarial Bandits with Composite Anonymous Delayed Feedback. 3501-3507 - Di Wang, Jinyuan Liu, Xin Fan, Risheng Liu:
Unsupervised Misaligned Infrared and Visible Image Fusion via Cross-Modality Image Generation and Registration. 3508-3515 - Jiankun Wang, Lu Sun:
Multi-Task Personalized Learning with Sparse Network Lasso. 3516-3522 - Nan Wang, Hongning Wang, Maryam Karimzadehgan, Branislav Kveton, Craig Boutilier:
IMO^3: Interactive Multi-Objective Off-Policy Optimization. 3523-3529 - Xiaolin Wang, Guohao Sun, Xiu Fang, Jian Yang, Shoujin Wang:
Modeling Spatio-temporal Neighbourhood for Personalized Point-of-interest Recommendation. 3530-3536 - Xuchuang Wang, Hong Xie, John C. S. Lui:
Multi-Player Multi-Armed Bandits with Finite Shareable Resources Arms: Learning Algorithms & Applications. 3537-3543 - Yuan Wang:
Estimation and Comparison of Linear Regions for ReLU Networks. 3544-3550 - Zengmao Wang, Chaoyang Zhou, Bo Du, Fengxiang He:
Self-paced Supervision for Multi-source Domain Adaptation. 3551-3557 - Jan Wöhlke, Felix Schmitt, Herke van Hoof:
Value Refinement Network (VRN). 3558-3565 - Danyang Wu, Jitao Lu, Feiping Nie, Rong Wang, Yuan Yuan:
EMGC²F: Efficient Multi-view Graph Clustering with Comprehensive Fusion. 3566-3572 - Jun Wu, Jingrui He:
A Unified Meta-Learning Framework for Dynamic Transfer Learning. 3573-3579 - Junran Wu, Shangzhe Li, Jianhao Li, Yicheng Pan, Ke Xu:
A Simple yet Effective Method for Graph Classification. 3580-3586 - Xinxing Wu, Qiang Cheng:
Stabilizing and Enhancing Link Prediction through Deepened Graph Auto-Encoders. 3587-3593 - Zheng-Fan Wu, Yi-Nan Feng, Hui Xue:
Automatically Gating Multi-Frequency Patterns through Rectified Continuous Bernoulli Units with Theoretical Principles. 3594-3600 - Zongqian Wu, Peng Zhou, Guoqiu Wen, Yingying Wan, Junbo Ma, Debo Cheng, Xiaofeng Zhu:
Information Augmentation for Few-shot Node Classification. 3601-3607 - Haifeng Xia, Pu Wang, Toshiaki Koike-Akino, Ye Wang, Philip V. Orlik, Zhengming Ding:
Adversarial Bi-Regressor Network for Domain Adaptive Regression. 3608-3614 - Shiyu Xia, Jiaqi Lv, Ning Xu, Xin Geng:
Ambiguity-Induced Contrastive Learning for Instance-Dependent Partial Label Learning. 3615-3621 - Xuan Xie, Kristian Kersting, Daniel Neider:
Neuro-Symbolic Verification of Deep Neural Networks. 3622-3628 - Ke Xu, Qiantai Feng, Xingyi Zhang, Dong Wang:
MultiQuant: Training Once for Multi-bit Quantization of Neural Networks. 3629-3635 - Yi Xu, Lichen Wang, Yizhou Wang, Can Qin, Yulun Zhang, Yun Fu:
MemREIN: Rein the Domain Shift for Cross-Domain Few-Shot Learning. 3636-3642 - Hanyu Xuan, Yihong Xu, Shuo Chen, Zhiliang Wu, Jian Yang, Yan Yan, Xavier Alameda-Pineda:
Active Contrastive Set Mining for Robust Audio-Visual Instance Discrimination. 3643-3649 - Cambridge Yang, Michael L. Littman, Michael Carbin:
On the (In)Tractability of Reinforcement Learning for LTL Objectives. 3650-3658 - Zhengyu Yang, Kan Ren, Xufang Luo, Minghuan Liu, Weiqing Liu, Jiang Bian, Weinan Zhang, Dongsheng Li:
Towards Applicable Reinforcement Learning: Improving the Generalization and Sample Efficiency with Policy Ensemble. 3659-3665 - Yalan Ye, Tongjie Pan, Qianhe Meng, Jingjing Li, Li Lu:
Online ECG Emotion Recognition for Unknown Subjects via Hypergraph-Based Transfer Learning. 3666-3672 - Chengyang Ying, Xinning Zhou, Hang Su, Dong Yan, Ning Chen, Jun Zhu:
Towards Safe Reinforcement Learning via Constraining Conditional Value-at-Risk. 3673-3680 - Bruce X. B. Yu, Yan Liu, Xiang Zhang, Gong Chen, Keith C. C. Chan:
EGCN: An Ensemble-based Learning Framework for Exploring Effective Skeleton-based Rehabilitation Exercise Assessment. 3681-3687 - Chaojian Yu, Bo Han, Mingming Gong, Li Shen, Shiming Ge, Du Bo, Tongliang Liu:
Robust Weight Perturbation for Adversarial Training. 3688-3694 - Yunlong Yu, Dingyi Zhang, Zhong Ji:
Masked Feature Generation Network for Few-Shot Learning. 3695-3701 - Zhecheng Yuan, Guozheng Ma, Yao Mu, Bo Xia, Bo Yuan, Xueqian Wang, Ping Luo, Huazhe Xu:
Don't Touch What Matters: Task-Aware Lipschitz Data Augmentation for Visual Reinforcement Learning. 3702-3708 - Mohammadi Zaki, Avi Mohan, Aditya Gopalan:
Improved Pure Exploration in Linear Bandits with No-Regret Learning. 3709-3715 - Xianyuan Zhan, Xiangyu Zhu, Haoran Xu:
Model-Based Offline Planning with Trajectory Pruning. 3716-3722 - Baoquan Zhang, Hao Jiang, Shanshan Feng, Xutao Li, Yunming Ye, Rui Ye:
Hyperbolic Knowledge Transfer with Class Hierarchy for Few-Shot Learning. 3723-3729 - Jiying Zhang, Xi Xiao, Long-Kai Huang, Yu Rong, Yatao Bian:
Fine-Tuning Graph Neural Networks via Graph Topology Induced Optimal Transport. 3730-3736 - Ke Zhang, Xinyan Pu, Jiaxing Li, Jiasong Wu, Huazhong Shu, Youyong Kong:
Hierarchical Diffusion Scattering Graph Neural Network. 3737-3743 - Linrui Zhang, Li Shen, Long Yang, Shixiang Chen, Xueqian Wang, Bo Yuan, Dacheng Tao:
Penalized Proximal Policy Optimization for Safe Reinforcement Learning. 3744-3750 - Lu Zhang, Zhu Sun, Ziqing Wu, Jie Zhang, Yew Soon Ong, Xinghua Qu:
Next Point-of-Interest Recommendation with Inferring Multi-step Future Preferences. 3751-3757 - Yiqun Zhang, Yiu-ming Cheung, An Zeng:
Het2Hom: Representation of Heterogeneous Attributes into Homogeneous Concept Spaces for Categorical-and-Numerical-Attribute Data Clustering. 3758-3765 - Yunhao Zhang, Junchi Yan, Xiaolu Zhang, Jun Zhou, Xiaokang Yang:
Learning Mixture of Neural Temporal Point Processes for Multi-dimensional Event Sequence Clustering. 3766-3772 - Xingyu Zhao, Yuexuan An, Ning Xu, Xin Geng:
Fusion Label Enhancement for Multi-Label Learning. 3773-3779 - Zhibing Zhao, Ao Liu, Lirong Xia:
Learning Mixtures of Random Utility Models with Features from Incomplete Preferences. 3780-3786 - Boqing Zhu, Kele Xu, Changjian Wang, Zheng Qin, Tao Sun, Huaimin Wang, Yuxing Peng:
Unsupervised Voice-Face Representation Learning by Cross-Modal Prototype Contrast. 3787-3794 - Yun Zhu, Jianhao Guo, Fei Wu, Siliang Tang:
RoSA: A Robust Self-Aligned Framework for Node-Node Graph Contrastive Learning. 3795-3801 - Guangyuan Zou, Ying He, F. Richard Yu, Longquan Chen, Weike Pan, Zhong Ming:
Multi-Constraint Deep Reinforcement Learning for Smooth Action Control. 3802-3808
Multidisciplinary Topics and Applications
- Rui Cheng, Qing Li:
Subsequence-based Graph Routing Network for Capturing Multiple Risk Propagation Processes. 3810-3816 - Xianwen Deng, Ruijie Zhao, Yanhao Wang, Libo Chen, Yijun Wang, Zhi Xue:
3E-Solver: An Effortless, Easy-to-Update, and End-to-End Solver with Semi-Supervised Learning for Breaking Text-Based Captchas. 3817-3824 - Maike Herkenrath, Till Fluschnik, Francesco Grothe, Leon Kellerhals:
Placing Green Bridges Optimally, with Habitats Inducing Cycles. 3825-3831 - Hongsheng Hu, Zoran Salcic, Gillian Dobbie, Jinjun Chen, Lichao Sun, Xuyun Zhang:
Membership Inference via Backdooring. 3832-3838 - Xiang Huang, Hongsheng Liu, Beiji Shi, Zidong Wang, Kang Yang, Yang Li, Min Wang, Haotian Chu, Jing Zhou, Fan Yu, Bei Hua, Bin Dong, Lei Chen:
A Universal PINNs Method for Solving Partial Differential Equations with a Point Source. 3839-3846 - Tatsuya Iwase, Sebastian Stein, Enrico H. Gerding, Archie Chapman:
A Polynomial-time Decentralised Algorithm for Coordinated Management of Multiple Intersections. 3847-3853 - Qize Jiang, Minhao Qin, Shengmin Shi, Weiwei Sun, Baihua Zheng:
Multi-Agent Reinforcement Learning for Traffic Signal Control through Universal Communication Method. 3854-3860 - Takayuki Katsuki, Kohei Miyaguchi, Akira Koseki, Toshiya Iwamori, Ryosuke Yanagiya, Atsushi Suzuki:
Cumulative Stay-time Representation for Electronic Health Records in Medical Event Time Prediction. 3861-3867 - Harim Lee, Eunseon Seong, Dong-Kyu Chae:
Self-Supervised Learning with Attention-based Latent Signal Augmentation for Sleep Staging with Limited Labeled Data. 3868-3876 - Levi H. S. Lelis, João Gabriel Gama Vila Nova, Eugene Chen, Nathan R. Sturtevant, Carrie Demmans Epp, Michael Bowling:
Learning Curricula for Humans: An Empirical Study with Puzzles from The Witness. 3877-3883 - Chen Li, Chikashige Yamanaka, Kazuma Kaitoh, Yoshihiro Yamanishi:
Transformer-based Objective-reinforced Generative Adversarial Network to Generate Desired Molecules. 3884-3890 - Ke Li, Lisi Chen, Shuo Shang, Haiyan Wang, Yang Liu, Panos Kalnis, Bin Yao:
Towards Controlling the Transmission of Diseases: Continuous Exposure Discovery over Massive-Scale Moving Objects. 3891-3897 - Lele Luan, Yang Liu, Hao Sun:
Distilling Governing Laws and Source Input for Dynamical Systems from Videos. 3898-3904 - Alex Mathai, Sambaran Bandyopadhyay, Utkarsh Desai, Srikanth Tamilselvam:
Monolith to Microservices: Representing Application Software through Heterogeneous Graph Neural Network. 3905-3911 - Feiyang Pan, Tongzhe Zhang, Ling Luo, Jia He, Shuoling Liu:
Learn Continuously, Act Discretely: Hybrid Action-Space Reinforcement Learning For Optimal Execution. 3912-3918 - Jiahua Rao, Shuangjia Zheng, Sijie Mai, Yuedong Yang:
Communicative Subgraph Representation Learning for Multi-Relational Inductive Drug-Gene Interaction Prediction. 3919-3925 - Xuan Rao, Hao Wang, Liang Zhang, Jing Li, Shuo Shang, Peng Han:
FOGS: First-Order Gradient Supervision with Learning-based Graph for Traffic Flow Forecasting. 3926-3932 - Amutheezan Sivagnanam, Salah Uddin Kadir, Ayan Mukhopadhyay, Philip Pugliese, Abhishek Dubey, Samitha Samaranayake, Aron Laszka:
Offline Vehicle Routing Problem with Online Bookings: A Novel Problem Formulation with Applications to Paratransit. 3933-3939 - Liangde Tao, Lin Chen, Lei Xu, Weidong Shi:
Local Differential Privacy Meets Computational Social Choice - Resilience under Voter Deletion. 3940-3946 - Youming Tao, Yulian Wu, Xiuzhen Cheng, Di Wang:
Private Stochastic Convex Optimization and Sparse Learning with Heavy-tailed Data Revisited. 3947-3953 - Xu Wan, Lanting Zeng, Mingyang Sun:
Exploring the Vulnerability of Deep Reinforcement Learning-based Emergency Control for Low Carbon Power Systems. 3954-3961 - Heyuan Wang, Tengjiao Wang, Shun Li, Shijie Guan, Jiayi Zheng, Wei Chen:
Heterogeneous Interactive Snapshot Network for Review-Enhanced Stock Profiling and Recommendation. 3962-3969 - Heyuan Wang, Tengjiao Wang, Shun Li, Jiayi Zheng, Shijie Guan, Wei Chen:
Adaptive Long-Short Pattern Transformer for Stock Investment Selection. 3970-3977 - Tianshu Wang, Hongyu Lin, Cheng Fu, Xianpei Han, Le Sun, Feiyu Xiong, Hui Chen, Minlong Lu, Xiuwen Zhu:
Bridging the Gap between Reality and Ideality of Entity Matching: A Revisting and Benchmark Re-Constrcution. 3978-3984 - Yifan Wang, Guangmo Tong:
Learnability of Competitive Threshold Models. 3985-3991 - Pengfei Xia, Ziqiang Li, Wei Zhang, Bin Li:
Data-Efficient Backdoor Attacks. 3992-3998 - Dong Xing, Qian Zheng, Qianhui Liu, Gang Pan:
TinyLight: Adaptive Traffic Signal Control on Devices with Extremely Limited Resources. 3999-4005 - Haonan Yan, Xiaoguang Li, Ziyao Guo, Hui Li, Fenghua Li, Xiaodong Lin:
ARCANE: An Efficient Architecture for Exact Machine Unlearning. 4006-4013 - Mengyuan Yang, Xiaolin Zheng, Qianqiao Liang, Bing Han, Mengying Zhu:
A Smart Trader for Portfolio Management based on Normalizing Flows. 4014-4021 - Xianglin Yang, Yun Lin, Ruofan Liu, Jin Song Dong:
Temporality Spatialization: A Scalable and Faithful Time-Travelling Visualization for Deep Classifier Training. 4022-4028 - Keyu Zhu, Ferdinando Fioretto, Pascal Van Hentenryck:
Post-processing of Differentially Private Data: A Fairness Perspective. 4029-4035 - Tiantian Zhu, Yang Qin, Qingcai Chen, Baotian Hu, Yang Xiang:
Enhancing Entity Representations with Prompt Learning for Biomedical Entity Linking. 4036-4042
Natural Language Processing
- Xiaoyi Bao, Zhongqing Wang, Xiaotong Jiang, Rong Xiao, Shoushan Li:
Aspect-based Sentiment Analysis with Opinion Tree Generation. 4044-4050 - Yinan Bao, Qianwen Ma, Lingwei Wei, Wei Zhou, Songlin Hu:
Speaker-Guided Encoder-Decoder Framework for Emotion Recognition in Conversation. 4051-4057 - Danushka Bollegala:
Learning Meta Word Embeddings by Unsupervised Weighted Concatenation of Source Embeddings. 4058-4064 - Zefeng Cai, Zerui Cai:
PCVAE: Generating Prior Context for Dialogue Response Generation. 4065-4071 - Dongsheng Chen, Zhiqi Huang, Xian Wu, Shen Ge, Yuexian Zou:
Towards Joint Intent Detection and Slot Filling via Higher-order Attention. 4072-4078 - Kehai Chen, Muyun Yang, Masao Utiyama, Eiichiro Sumita, Rui Wang, Min Zhang:
Effective Graph Context Representation for Document-level Machine Translation. 4079-4085 - Qianglong Chen, Feng-Lin Li, Guohai Xu, Ming Yan, Ji Zhang, Yin Zhang:
DictBERT: Dictionary Description Knowledge Enhanced Language Model Pre-training via Contrastive Learning. 4086-4092 - Zhenyun Deng, Yonghua Zhu, Yang Chen, Michael Witbrock, Patricia Riddle:
Interpretable AMR-Based Question Decomposition for Multi-hop Question Answering. 4093-4099 - Siqi Fan, Yequan Wang, Jing Li, Zheng Zhang, Shuo Shang, Peng Han:
Interactive Information Extraction by Semantic Information Graph. 4100-4106 - Hao Fei, Jingye Li, Shengqiong Wu, Chenliang Li, Donghong Ji, Fei Li:
Global Inference with Explicit Syntactic and Discourse Structures for Dialogue-Level Relation Extraction. 4107-4113 - Hao Fei, Shengqiong Wu, Meishan Zhang, Yafeng Ren, Donghong Ji:
Conversational Semantic Role Labeling with Predicate-Oriented Latent Graph. 4114-4120 - Hao Fei, Fei Li, Chenliang Li, Shengqiong Wu, Jingye Li, Donghong Ji:
Inheriting the Wisdom of Predecessors: A Multiplex Cascade Framework for Unified Aspect-based Sentiment Analysis. 4121-4128 - Alexander Gaskell, Yishu Miao, Francesca Toni, Lucia Specia:
Logically Consistent Adversarial Attacks for Soft Theorem Provers. 4129-4135 - Joachim Giesen, Paul Kahlmeyer, Frank Nussbaum, Sina Zarrieß:
Leveraging the Wikipedia Graph for Evaluating Word Embeddings. 4136-4142 - Pierpaolo Goffredo, Shohreh Haddadan, Vorakit Vorakitphan, Elena Cabrio, Serena Villata:
Fallacious Argument Classification in Political Debates. 4143-4149 - Xinnan Guo, Yongrui Chen, Guilin Qi, Tianxing Wu, Hao Xu:
Improving Few-Shot Text-to-SQL with Meta Self-Training via Column Specificity. 4150-4156 - Rongjie Huang, Max W. Y. Lam, Jun Wang, Dan Su, Dong Yu, Yi Ren, Zhou Zhao:
FastDiff: A Fast Conditional Diffusion Model for High-Quality Speech Synthesis. 4157-4163 - Ziyou Jiang, Lin Shi, Celia Chen, Fangwen Mu, Yumin Zhang, Qing Wang:
MuiDial: Improving Dialogue Disentanglement with Intent-Based Mutual Learning. 4164-4170 - Chang Jin, Shigui Qiu, Nini Xiao, Hao Jia:
AdMix: A Mixed Sample Data Augmentation Method for Neural Machine Translation. 4171-4177 - Pei Ke, Haozhe Ji, Zhenyu Yang, Yi Huang, Junlan Feng, Xiaoyan Zhu, Minlie Huang:
Curriculum-Based Self-Training Makes Better Few-Shot Learners for Data-to-Text Generation. 4178-4184 - Li Kong, Chuanyi Li, Vincent Ng:
Deexaggeration. 4185-4192 - Andong Li, Shan You, Guochen Yu, Chengshi Zheng, Xiaodong Li:
Taylor, Can You Hear Me Now? A Taylor-Unfolding Framework for Monaural Speech Enhancement. 4193-4200 - Guozheng Li, Xu Chen, Peng Wang, Jiafeng Xie, Qiqing Luo:
FastRE: Towards Fast Relation Extraction with Convolutional Encoder and Improved Cascade Binary Tagging Framework. 4201-4208 - Jiangnan Li, Fandong Meng, Zheng Lin, Rui Liu, Peng Fu, Yanan Cao, Weiping Wang, Jie Zhou:
Neutral Utterances are Also Causes: Enhancing Conversational Causal Emotion Entailment with Social Commonsense Knowledge. 4209-4215 - Tian Li, Xiang Chen, Zhen Dong, Kurt Keutzer, Shanghang Zhang:
Domain-Adaptive Text Classification with Structured Knowledge from Unlabeled Data. 4216-4222 - Yuchao Li, Fuli Luo, Chuanqi Tan, Mengdi Wang, Songfang Huang, Shen Li, Junjie Bai:
Parameter-Efficient Sparsity for Large Language Models Fine-Tuning. 4223-4229 - Zuchao Li, Hai Zhao, Fengshun Xiao, Masao Utiyama, Eiichiro Sumita:
Explicit Alignment Learning for Neural Machine Translation. 4230-4237 - Qingyuan Liang, Zeyu Sun, Qihao Zhu, Wenjie Zhang, Lian Yu, Yingfei Xiong, Lu Zhang:
Lyra: A Benchmark for Turducken-Style Code Generation. 4238-4244 - Jiaju Lin, Qin Chen, Jie Zhou, Jian Jin, Liang He:
CUP: Curriculum Learning based Prompt Tuning for Implicit Event Argument Extraction. 4245-4251 - Jian Liu, Yufeng Chen, Jinan Xu:
Low-Resource NER by Data Augmentation With Prompting. 4252-4258 - Shuaiqi Liu, Jiannong Cao, Ruosong Yang, Zhiyuan Wen:
Generating a Structured Summary of Numerous Academic Papers: Dataset and Method. 4259-4265 - Wenge Liu, Yi Cheng, Hao Wang, Jianheng Tang, Yafei Liu, Ruihui Zhao, Wenjie Li, Yefeng Zheng, Xiaodan Liang:
"My nose is running." "Are you also coughing?": Building A Medical Diagnosis Agent with Interpretable Inquiry Logics. 4266-4272 - Xianggen Liu, Wenqiang Lei, Jiancheng Lv, Jizhe Zhou:
Abstract Rule Learning for Paraphrase Generation. 4273-4279 - Yuyin Lu, Xin Cheng, Ziran Liang, Yanghui Rao:
Graph-based Dynamic Word Embeddings. 4280-4288 - Ruotian Ma, Yiding Tan, Xin Zhou, Xuanting Chen, Di Liang, Sirui Wang, Wei Wu, Tao Gui:
Searching for Optimal Subword Tokenization in Cross-domain NER. 4289-4295 - Xinyin Ma, Xinchao Wang, Gongfan Fang, Yongliang Shen, Weiming Lu:
Prompting to Distill: Boosting Data-Free Knowledge Distillation via Reinforced Prompt. 4296-4302 - Mayank Mishra, Dhiraj Madan, Gaurav Pandey, Danish Contractor:
Variational Learning for Unsupervised Knowledge Grounded Dialogs. 4303-4309 - Feiteng Mu, Wenjie Li:
Enhancing Text Generation via Multi-Level Knowledge Aware Reasoning. 4310-4316 - Weiran Pan, Wei Wei, Feida Zhu:
Automatic Noisy Label Correction for Fine-Grained Entity Typing. 4317-4323 - Wei Peng, Yue Hu, Luxi Xing, Yuqiang Xie, Yajing Sun, Yunpeng Li:
Control Globally, Understand Locally: A Global-to-Local Hierarchical Graph Network for Emotional Support Conversation. 4324-4330 - Xingyu Peng, Chong Zhang, Ke Xu:
Document-level Relation Extraction via Subgraph Reasoning. 4331-4337 - Zhong Qian, Peifeng Li, Qiaoming Zhu, Guodong Zhou:
Document-level Event Factuality Identification via Reinforced Multi-Granularity Hierarchical Attention Networks. 4338-4345 - Haotong Qin, Xudong Ma, Yifu Ding, Xiaoyang Li, Yang Zhang, Yao Tian, Zejun Ma, Jie Luo, Xianglong Liu:
BiFSMN: Binary Neural Network for Keyword Spotting. 4346-4352 - Subendhu Rongali, Konstantine Arkoudas, Melanie Rubino, Wael Hamza:
Training Naturalized Semantic Parsers with Very Little Data. 4353-4359 - Yuming Shang, Heyan Huang, Xin Sun, Wei Wei, Xian-Ling Mao:
Relational Triple Extraction: One Step is Enough. 4360-4366 - Xin Sun, Tao Ge, Shuming Ma, Jingjing Li, Furu Wei, Houfeng Wang:
A Unified Strategy for Multilingual Grammatical Error Correction with Pre-trained Cross-Lingual Language Model. 4367-4374 - Zhoujian Sun, Zhengxing Huang, Nai Ding:
On Tracking Dialogue State by Inheriting Slot Values in Mentioned Slot Pools. 4375-4382 - Xin Tan, Longyin Zhang, Fang Kong, Guodong Zhou:
Towards Discourse-Aware Document-Level Neural Machine Translation. 4383-4389 - Xuting Tang, Abdul Rafae Khan, Shusen Wang, Jia Xu:
Learning by Interpreting. 4390-4396 - Shoujie Tong, Qingxiu Dong, Damai Dai, Yifan Song, Tianyu Liu, Baobao Chang, Zhifang Sui:
Robust Fine-tuning via Perturbation and Interpolation from In-batch Instances. 4397-4403 - Yuanzheng Wang, Xueqi Cheng, Yixing Fan, Xiaofei Zhu, Huasheng Liang, Qiang Yan, Jiafeng Guo:
MGAD: Learning Descriptional Representation Distilled from Distributional Semantics for Unseen Entities. 4404-4410 - Ning Wu, Yaobo Liang, Houxing Ren, Linjun Shou, Nan Duan, Ming Gong, Daxin Jiang:
Unsupervised Context Aware Sentence Representation Pretraining for Multi-lingual Dense Retrieval. 4411-4417 - Shuhui Wu, Yongliang Shen, Zeqi Tan, Weiming Lu:
Propose-and-Refine: A Two-Stage Set Prediction Network for Nested Named Entity Recognition. 4418-4424 - Bowen Xing, Ivor W. Tsang:
Neural Subgraph Explorer: Reducing Noisy Information via Target-oriented Syntax Graph Pruning. 4425-4431 - Hongyuan Xu, Yunong Chen, Zichen Liu, Yanlong Wen, Xiaojie Yuan:
TaxoPrompt: A Prompt-based Generation Method with Taxonomic Context for Self-Supervised Taxonomy Expansion. 4432-4438 - Rohan Kumar Yadav, Lei Jiao, Ole-Christoffer Granmo, Morten Goodwin:
Robust Interpretable Text Classification against Spurious Correlations Using AND-rules with Negation. 4439-4446 - Fengyi Yang, Xi Zhou, Yi Wang, Abibulla Atawulla, Ran Bi:
Diversity Features Enhanced Prototypical Network for Few-shot Intent Detection. 4447-4453 - Jian Yang, Yuwei Yin, Shuming Ma, Dongdong Zhang, Shuangzhi Wu, Hongcheng Guo, Zhoujun Li, Furu Wei:
UM4: Unified Multilingual Multiple Teacher-Student Model for Zero-Resource Neural Machine Translation. 4454-4460 - Jian Yang, Yuwei Yin, Shuming Ma, Dongdong Zhang, Zhoujun Li, Furu Wei:
High-resource Language-specific Training for Multilingual Neural Machine Translation. 4461-4467 - Zhenhui Ye, Zhou Zhao, Yi Ren, Fei Wu:
SyntaSpeech: Syntax-Aware Generative Adversarial Text-to-Speech. 4468-4474 - Xiaoyuan Yi, Jiarui Zhang, Wenhao Li, Xiting Wang, Xing Xie:
Clickbait Detection via Contrastive Variational Modelling of Text and Label. 4475-4481 - Jianfei Yu, Jieming Wang, Rui Xia, Junjie Li:
Targeted Multimodal Sentiment Classification based on Coarse-to-Fine Grained Image-Target Matching. 4482-4488 - Jiaao Zhan, Yang Gao, Yu Bai, Qianhui Liu:
Stage-wise Stylistic Headline Generation: Style Generation and Summarized Content Insertion. 4489-4495 - Chenglong Zhang, Shuyong Gao, Haofen Wang, Wenqiang Zhang:
Position-aware Joint Entity and Relation Extraction with Attention Mechanism. 4496-4502 - Lichao Zhang, Zhou Zhao, Yi Ren, Liqun Deng:
EditSinger: Zero-Shot Text-Based Singing Voice Editing System with Diverse Prosody Modeling. 4503-4509 - Shuo Zhang, Junzhou Zhao, Pinghui Wang, Yu Li, Yi Huang, Junlan Feng:
"Think Before You Speak": Improving Multi-Action Dialog Policy by Planning Single-Action Dialogs. 4510-4516 - Jie Zhao, Ziyu Guan, Cai Xu, Wei Zhao, Enze Chen:
Charge Prediction by Constitutive Elements Matching of Crimes. 4517-4523 - Weixiang Zhao, Yanyan Zhao, Xin Lu:
CauAIN: Causal Aware Interaction Network for Emotion Recognition in Conversations. 4524-4530 - Wanjun Zhong, Junjie Huang, Qian Liu, Ming Zhou, Jiahai Wang, Jian Yin, Nan Duan:
Reasoning over Hybrid Chain for Table-and-Text Open Domain Question Answering. 4531-4537 - Yang Zhou, Wee Sun Lee:
None Class Ranking Loss for Document-Level Relation Extraction. 4538-4544 - Qihao Zhu, Zeyu Sun, Wenjie Zhang, Yingfei Xiong, Lu Zhang:
Grape: Grammar-Preserving Rule Embedding. 4545-4551 - Tong Zhu, Xiaoye Qu, Wenliang Chen, Zhefeng Wang, Baoxing Huai, Nicholas Jing Yuan, Min Zhang:
Efficient Document-level Event Extraction via Pseudo-Trigger-aware Pruned Complete Graph. 4552-4558 - Yangfu Zhu, Linmei Hu, Xinkai Ge, Wanrong Peng, Bin Wu:
Contrastive Graph Transformer Network for Personality Detection. 4559-4565
Planning and Scheduling
- Diego Aineto, Eva Onaindia, Miquel Ramírez, Enrico Scala, Ivan Serina:
Explaining the Behaviour of Hybrid Systems with PDDL+ Planning. 4567-4573 - Spyros Angelopoulos, Shahin Kamali, Kimia Shadkami:
Online Bin Packing with Predictions. 4574-4580 - Evripidis Bampis,