Agent-based and Multi-agent Systems
Anytime Capacity Expansion in Medical Residency Match by Monte Carlo Tree Search
Kenshi Abe, Junpei Komiyama, Atsushi Iwasaki
Socially Intelligent Genetic Agents for the Emergence of Explicit Norms
Rishabh Agrawal, Nirav Ajmeri, Munindar Singh
An EF2X Allocation Protocol for Restricted Additive Valuations
Hannaneh Akrami, Rojin Rezvan, Masoud Seddighin
Better Collective Decisions via Uncertainty Reduction
Shiri Alouf-Heffetz, Laurent Bulteau, Edith Elkind, Nimrod Talmon, Nicholas Teh
How Should We Vote? A Comparison of Voting Systems within Social Networks
Shiri Alouf-Heffetz, Ben Armstrong, Kate Larson, Nimrod Talmon
Public Signaling in Bayesian Ad Auctions
Francesco Bacchiocchi, Matteo Castiglioni, Alberto Marchesi, Giulia Romano, Nicola Gatti
Mixed Strategies for Security Games with General Defending Requirements
Rufan Bai, Haoxing Lin, Xinyu Yang, Xiaowei Wu, Minming Li, Weijia Jia
Envy-Free and Pareto-Optimal Allocations for Agents with Asymmetric Random Valuations
Yushi Bai, Paul Gölz
Achieving Envy-Freeness with Limited Subsidies under Dichotomous Valuations
Siddharth Barman, Anand Krishna, Yadati Narahari, Soumyarup Sadhukhan
Transparency, Detection and Imitation in Strategic Classification
Flavia Barsotti, Ruya Gokhan Kocer, Fernando P. Santos
Time-Constrained Participatory Budgeting Under Uncertain Project Costs
Dorothea Baumeister, Linus Boes, Christian Laußmann
Tolerance is Necessary for Stability: Single-Peaked Swap Schelling Games
Davide Bilò, Vittorio Bilò, Pascal Lenzner, Louise Molitor
General Opinion Formation Games with Social Group Membership
Vittorio Bilò, Diodato Ferraioli, Cosimo Vinci
Fair Equilibria in Sponsored Search Auctions: The Advertisers’ Perspective
Georgios Birmpas, Andrea Celli, Riccardo Colini-Baldeschi, Stefano Leonardi
Understanding Distance Measures Among Elections
Niclas Boehmer, Piotr Faliszewski, Rolf Niedermeier, Stanisław Szufa, Tomasz Wąs
Toward Policy Explanations for Multi-Agent Reinforcement Learning
Kayla Boggess, Sarit Kraus, Lu Feng
Distortion in Voting with Top-t Preferences
Allan Borodin, Daniel Halpern, Mohamad Latifian, Nisarg Shah
Let’s Agree to Agree: Targeting Consensus for Incomplete Preferences through Majority Dynamics
Sirin Botan, Simon Rey, Zoi Terzopoulou
Incentives in Social Decision Schemes with Pairwise Comparison Preferences
Felix Brandt, Patrick Lederer, Warut Suksompong
Single-Peaked Opinion Updates
Robert Bredereck, Anne-Marie George, Jonas Israel, Leon Kellerhals
When Votes Change and Committees Should (Not)
Robert Bredereck, Till Fluschnik, Andrzej Kaczmarczyk
Network Creation with Homophilic Agents
Martin Bullinger, Pascal Lenzner, Anna Melnichenko
VidyutVanika21: An Autonomous Intelligent Broker for Smart-grids
Sanjay Chandlekar, Bala Suraj Pedasingu, Easwar Subramanian, Sanjay Bhat, Praveen Paruchuri, Sujit Gujar
Optimal Anonymous Independent Reward Scheme Design
Mengjing Chen, Pingzhong Tang, Zihe Wang, Shenke Xiao, Xiwang Yang
Goal Consistency: An Effective Multi-Agent Cooperative Method for Multistage Tasks
Xinning Chen, Xuan Liu, Shigeng Zhang, Bo Ding, Kenli Li
On the Convergence of Fictitious Play: A Decomposition Approach
Yurong Chen, Xiaotie Deng, Chenchen Li, David Mguni, Jun Wang, Xiang Yan, Yaodong Yang
Two-Sided Matching over Social Networks
Sung-Ho Cho, Taiki Todo, Makoto Yokoo
A Formal Model for Multiagent Q-Learning Dynamics on Regular Graphs
Chen Chu, Yong Li, Jinzhuo Liu, Shuyue Hu, Xuelong Li, Zhen Wang
Preserving Consistency in Multi-Issue Liquid Democracy
Rachael Colley, Umberto Grandi
Voting in Two-Crossing Elections
Andrei Constantinescu, Roger Wattenhofer
Multi-Agent Intention Progression with Reward Machines
Michael Dann, Yuan Yao, Natasha Alechina, Brian Logan, John Thangarajah
An Analysis of the Linear Bilateral ANAC Domains Using the MiCRO Benchmark Strategy
Dave De Jonge
Approval with Runoff
Théo Delemazure, Jérôme Lang, Jean-François Laslier, M. Remzi Sanver
The Complexity of Envy-Free Graph Cutting
Argyrios Deligkas, Eduard Eiben, Robert Ganian, Thekla Hamm, Sebastian Ordyniak
Parameterized Complexity of Hotelling-Downs with Party Nominees
Argyrios Deligkas, Eduard Eiben, Tiger-Lily Goldsmith
Online Approval Committee Elections
Virginie Do, Matthieu Hervouin, Jérôme Lang, Piotr Skowron
On the Ordinal Invariance of Power Indices on Coalitional Games
Jean-Paul Doignon, Stefano Moretti, Meltem Ozturk
Invasion Dynamics in the Biased Voter Process
Loke Durocher, Panagiotis Karras, Andreas Pavlogiannis, Josef Tkadlec
Efficient Resource Allocation with Secretive Agents
Soroush Ebadian, Rupert Freeman, Nisarg Shah
Contests to Incentivize a Target Group
Edith Elkind, Abheek Ghosh, Paul W. Goldberg
Representation Matters: Characterisation and Impossibility Results for Interval Aggregation
Ulle Endriss, Arianna Novaro, Zoi Terzopoulou
Insight into Voting Problem Complexity Using Randomized Classes
Zack Fitzsimmons, Edith Hemaspaandra
Approximate Strategyproof Mechanisms for the Additively Separable Group Activity Selection Problem
Michele Flammini, Giovanna Varricchio
Picking the Right Winner: Why Tie-Breaking in Crowdsourcing Contests Matters
Coral Haggiag, Sigal Oren, Ella Segev
Can Buyers Reveal for a Better Deal?
Daniel Halpern, Gregory Kehne, Jamie Tucker-Foltz
Two for One & One for All: Two-Sided Manipulation in Matching Markets
Hadi Hosseini, Fatima Umar, Rohit Vaish
Phragmén Rules for Degressive and Regressive Proportionality
Michał Jaworski, Piotr Skowron
Forgiving Debt in Financial Network Games
Panagiotis Kanellopoulos, Maria Kyropoulou, Hao Zhou
On Discrete Truthful Heterogeneous Two-Facility Location
Panagiotis Kanellopoulos, Alexandros A. Voudouris, Rongsen Zhang
Plurality Veto: A Simple Voting Rule Achieving Optimal Metric Distortion
Fatih Erdem Kizilkaya, David Kempe
The Dichotomous Affiliate Stable Matching Problem: Approval-Based Matching with Applicant-Employer Relations
Marina Knittel, Samuel Dooley, John Dickerson
Light Agents Searching for Hot Information
Dariusz R. Kowalski, Dominik Pajak
Explaining Preferences by Multiple Patterns in Voters’ Behavior
Sonja Kraiczy, Edith Elkind
Biased Majority Opinion Dynamics: Exploiting Graph k-domination
Hicham Lesfari, Frédéric Giroire, Stéphane Pérennes
Modelling the Dynamics of Multi-Agent Q-learning: The Stochastic Effects of Local Interaction and Incomplete Information
Chin-wing Leung, Shuyue Hu, Ho-fung Leung
Propositional Gossip Protocols under Fair Schedulers
Joseph Livesey, Dominik Wojtczak
Proportional Budget Allocations: Towards a Systematization
Maaike Los, Zoé Christoff, Davide Grossi
Parameterized Algorithms for Kidney Exchange
Arnab Maiti, Palash Dey
Fixing Knockout Tournaments With Seeds
Pasin Manurangsi, Warut Suksompong
Group Wisdom at a Price: Jury Theorems with Costly Information
Matteo Michelini, Adrian Haret, Davide Grossi
Automated Synthesis of Mechanisms
Munyque Mittelmann, Bastien Maubert, Aniello Murano, Laurent Perrussel
Robust Solutions for Multi-Defender Stackelberg Security Games
Dolev Mutzari, Yonatan Aumann, Sarit Kraus
I Will Have Order! Optimizing Orders for Fair Reviewer Assignment
Justin Payan, Yair Zick
Fair, Individually Rational and Cheap Adjustment
Gleb Polevoy, Marcin Dziubiński
Exploring the Benefits of Teams in Multiagent Learning
David Radke, Kate Larson, Tim Brecht
The Power of Media Agencies in Ad Auctions: Improving Utility through Coordinated Bidding
Giulia Romano, Matteo Castiglioni, Alberto Marchesi, Nicola Gatti
Transfer Learning Based Adaptive Automated Negotiating Agent Framework
Ayan Sengupta, Shinji Nakadai, Yasser Mohammad
Multiwinner Elections under Minimax Chamberlin-Courant Rule in Euclidean Space
Chinmay Sonar, Subhash Suri, Jie Xue
Near-Tight Algorithms for the Chamberlin-Courant and Thiele Voting Rules
Krzysztof Sornat, Virginia Vassilevska Williams, Yinzhan Xu
Maxmin Participatory Budgeting
Gogulapati Sreedurga, Mayank Ratan Bhardwaj, Yadati Narahari
How to Sample Approval Elections?
Stanisław Szufa, Piotr Faliszewski, Łukasz Janeczko, Martin Lackner, Arkadii Slinko, Krzysztof Sornat, Nimrod Talmon
Search-Based Testing of Reinforcement Learning
Martin Tappler, Filip Cano Córdoba, Bernhard K. Aichernig, Bettina Könighofer
Real-Time BDI Agents: A Model and Its Implementation
Andrea Traldi, Francesco Bruschetti, Marco Robol, Marco Roveri, Paolo Giorgini
Max-Sum with Quadtrees for Decentralized Coordination in Continuous Domains
Dimitrios Troullinos, Georgios Chalkiadakis, Vasilis Samoladas, Markos Papageorgiou
Strategy Proof Mechanisms for Facility Location with Capacity Limits
Toby Walsh
Modelling the Dynamics of Regret Minimization in Large Agent Populations: a Master Equation Approach
Zhen Wang, Chunjiang Mu, Shuyue Hu, Chen Chu, Xuelong Li
Monotone-Value Neural Networks: Exploiting Preference Monotonicity in Combinatorial Assignment
Jakob Weissteiner, Jakob Heiss, Julien Siems, Sven Seuken
Fourier Analysis-based Iterative Combinatorial Auctions
Jakob Weissteiner, Chris Wendler, Sven Seuken, Ben Lubin, Markus Püschel
Manipulating Elections by Changing Voter Perceptions
Junlin Wu, Andrew Estornell, Lecheng Kong, Yevgeniy Vorobeychik
Fast and Fine-grained Autoscaler for Streaming Jobs with Reinforcement Learning
Mingzhe Xing, Hangyu Mao, Zhen Xiao
Mechanism Design with Predictions
Chenyang Xu, Pinyan Lu
Efficient Multi-Agent Communication via Shapley Message Value
Di Xue, Lei Yuan, Zongzhang Zhang, Yang Yu
On the Complexity of Calculating Approval-Based Winners in Candidates-Embedded Metrics
Yongjie Yang
Environment Design for Biased Decision Makers
Guanghui Yu, Chien-Ju Ho
Multi-Agent Concentrative Coordination with Decentralized Task Representation
Lei Yuan, Chenghe Wang, Jianhao Wang, Fuxiang Zhang, Feng Chen, Cong Guan, Zongzhang Zhang, Chongjie Zhang, Yang Yu
Correlation-Based Algorithm for Team-Maxmin Equilibrium in Multiplayer Extensive-Form Games
Youzhi Zhang, Bo An, V. S. Subrahmanian
Strategyproof Mechanisms for Group-Fair Facility Location Problems
Houyu Zhou, Minming Li, Hau Chan
Evolutionary Approach to Security Games with Signaling
Adam Żychowski, Jacek Mańdziuk, Elizabeth Bondi, Aravind Venugopal, Milind Tambe, Balaraman Ravindran
Computer Vision
MotionMixer: MLP-based 3D Human Body Pose Forecasting
Arij Bouazizi, Adrian Holzbock, Ulrich Kressel, Klaus Dietmayer, Vasileios Belagiannis
Event-driven Video Deblurring via Spatio-Temporal Relation-Aware Network
Chengzhi Cao, Xueyang Fu, Yurui Zhu, Gege Shi, Zheng-Jun Zha
KPN-MFI: A Kernel Prediction Network with Multi-frame Interaction for Video Inverse Tone Mapping
Gaofeng Cao, Fei Zhou, Han Yan, Anjie Wang, Leidong Fan
Zero-Shot Logit Adjustment
Dubing Chen, Yuming Shen, Haofeng Zhang, Philip H.S. Torr
Uncertainty-Aware Representation Learning for Action Segmentation
Lei Chen, Muheng Li, Yueqi Duan, Jie Zhou, Jiwen Lu
AutoAlign: Pixel-Instance Feature Aggregation for Multi-Modal 3D Object Detection
Zehui Chen, Zhenyu Li, Shiquan Zhang, Liangji Fang, Qinhong Jiang, Feng Zhao, Bolei Zhou, Hang Zhao
Unsupervised Multi-Modal Medical Image Registration via Discriminator-Free Image-to-Image Translation
Zekang Chen, Jia Wei, Rui Li
SpanConv: A New Convolution via Spanning Kernel Space for Lightweight Pansharpening
Zhi-Xuan Chen, Cheng Jin, Tian-Jing Zhang, Xiao Wu, Liang-Jian Deng
Robust Single Image Dehazing Based on Consistent and Contrast-Assisted Reconstruction
De Cheng, Yan Li, Dingwen Zhang, Nannan Wang, Xinbo Gao, Jiande Sun
I²R-Net: Intra- and Inter-Human Relation Network for Multi-Person Pose Estimation
Yiwei Ding, Wenjin Deng, Yinglin Zheng, Pengfei Liu, Meihong Wang, Xuan Cheng, Jianmin Bao, Dong Chen, Ming Zeng
Region-Aware Metric Learning for Open World Semantic Segmentation via Meta-Channel Aggregation
Hexin Dong, Zifan Chen, Mingze Yuan, Yutong Xie, Jie Zhao, Fei Yu, Bin Dong, Li Zhang
MNet: Rethinking 2D/3D Networks for Anisotropic Medical Image Segmentation
Zhangfu Dong, Yuting He, Xiaoming Qi, Yang Chen, Huazhong Shu, Jean-Louis Coatrieux, Guanyu Yang, Shuo Li
ICGNet: Integration Context-based Reverse-Contour Guidance Network for Polyp Segmentation
Xiuquan Du, Xuebin Xu, Kunpeng Ma
SVTR: Scene Text Recognition with a Single Visual Model
Yongkun Du, Zhineng Chen, Caiyan Jia, Xiaoting Yin, Tianlun Zheng, Chenxia Li, Yuning Du, Yu-Gang Jiang
Learning Coated Adversarial Camouflages for Object Detectors
Yexin Duan, Jialin Chen, Xingyu Zhou, Junhua Zou, Zhengyun He, Jin Zhang, Wu Zhang, Zhisong Pan
D-DPCC: Deep Dynamic Point Cloud Compression via 3D Motion Prediction
Tingyu Fan, Linyao Gao, Yiling Xu, Zhu Li, Dong Wang
SparseTT: Visual Tracking with Sparse Transformers
Zhihong Fu, Zehua Fu, Qingjie Liu, Wenrui Cai, Yunhong Wang
Lightweight Bimodal Network for Single-Image Super-Resolution via Symmetric CNN and Recursive Transformer
Guangwei Gao, Zhengxue Wang, Juncheng Li, Wenjie Li, Yi Yu, Tieyong Zeng
Region-Aware Temporal Inconsistency Learning for DeepFake Video Detection
Zhihao Gu, Taiping Yao, Yang Chen, Ran Yi, Shouhong Ding, Lizhuang Ma
Learning Target-aware Representation for Visual Tracking via Informative Interactions
Mingzhe Guo, Zhipeng Zhang, Heng Fan, Liping Jing, Yilin Lyu, Bing Li, Weiming Hu
Exploring Fourier Prior for Single Image Rain Removal
Xin Guo, Xueyang Fu, Man Zhou, Zhen Huang, Jialun Peng, Zheng-Jun Zha
Rethinking Image Aesthetics Assessment: Models, Datasets and Benchmarks
Shuai He, Yongchang Zhang, Rui Xie, Dongxiang Jiang, Anlong Ming
Self-supervised Semantic Segmentation Grounded in Visual Concepts
Wenbin He, William Surmeier, Arvind Kumar Shekar, Liang Gou, Liu Ren
Semantic Compression Embedding for Generative Zero-Shot Learning
Ziming Hong, Shiming Chen, Guo-Sen Xie, Wenhan Yang, Jian Zhao, Yuanjie Shao, Qinmu Peng, Xinge You
ScaleFormer: Revisiting the Transformer-based Backbones from a Scale-wise
Perspective for Medical Image Segmentation
Huimin Huang, Shiao Xie, Lanfen Lin, Yutaro Iwamoto, Xian-Hua Han, Yen-Wei Chen, Ruofeng Tong
AQT: Adversarial Query Transformers for Domain Adaptive Object Detection
Wei-Jie Huang, Yu-Lin Lu, Shih-Yao Lin, Yusheng Xie, Yen-Yu Lin
DANet: Image Deraining via Dynamic Association Learning
Kui Jiang, Zhongyuan Wang, Zheng Wang, Peng Yi, Junjun Jiang, Jinsheng Xiao, Chia-Wen Lin
SatFormer: Saliency-Guided Abnormality-Aware Transformer for Retinal Disease Classification in Fundus Image
Yankai Jiang, Ke Xu, Xinyue Wang, Yuan Li, Hongguang Cui, Yubo Tao, Hai Lin
Domain Generalization through the Lens of Angular Invariance
Yujie Jin, Xu Chu, Yasha Wang, Wenwu Zhu
Online Hybrid Lightweight Representations Learning: Its Application to Visual Tracking
Ilchae Jung, Minji Kim, Eunhyeok Park, Bohyung Han
Robustifying Vision Transformer without Retraining from Scratch by Test-Time Class-Conditional Feature Alignment
Takeshi Kojima, Yutaka Matsuo, Yusuke Iwasawa
Attention-guided Contrastive Hashing for Long-tailed Image Retrieval
Xuan Kou, Chenghao Xu, Xu Yang, Cheng Deng
Beyond the Prototype: Divide-and-conquer Proxies for Few-shot Segmentation
Chunbo Lang, Binfei Tu, Gong Cheng, Junwei Han
PlaceNet: Neural Spatial Representation Learning with Multimodal Attention
Chung-Yeon Lee, Youngjae Yoo, Byoung-Tak Zhang
What is Right for Me is Not Yet Right for You: A Dataset for Grounding Relative Directions via Multi-Task Learning
Jae Hee Lee, Matthias Kerzel, Kyra Ahrens, Cornelius Weber, Stefan Wermter
Learning to Assemble Geometric Shapes
Jinhwi Lee, Jungtaek Kim, Hyunsoo Chung, Jaesik Park, Minsu Cho
Iterative Geometry-Aware Cross Guidance Network for Stereo Image Inpainting
Ang Li, Shanshan Zhao, Zhang Qingjie, Qiuhong Ke
Representation Learning for Compressed Video Action Recognition via Attentive Cross-modal Interaction with Motion Enhancement
Bing Li, Jiaxin Chen, Dongming Zhang, Xiuguo Bao, Di Huang
Self-Guided Hard Negative Generation for Unsupervised Person Re-Identification
Dongdong Li, Zhigang Wang, Jian Wang, Xinyu Zhang, Errui Ding, Jingdong Wang, Zhaoxiang Zhang
MMNet: Muscle Motion-Guided Network for Micro-Expression Recognition
Hanting Li, Mingzhe Sui, Zhaoqing Zhu, Feng Zhao
ER-SAN: Enhanced-Adaptive Relation Self-Attention Network for Image Captioning
Jingyu Li, Zhendong Mao, Shancheng Fang, Hao Li
RePFormer: Refinement Pyramid Transformer for Robust Facial Landmark Detection
Jinpeng Li, Haibo Jin, Shengcai Liao, Ling Shao, Pheng-Ann Heng
Dite-HRNet: Dynamic Lightweight High-Resolution Network for Human Pose Estimation
Qun Li, Ziyi Zhang, Fu Xiao, Feng Zhang, Bir Bhanu
Learning Graph-based Residual Aggregation Network for Group Activity Recognition
Wei Li, Tianzhao Yang, Xiao Wu, Zhaoquan Yuan
TCCNet: Temporally Consistent Context-Free Network for Semi-supervised Video Polyp Segmentation
Xiaotong Li, Jilan Xu, Yuejie Zhang, Rui Feng, Rui-Wei Zhao, Tao Zhang, Xuequan Lu, Shang Gao
PRNet: Point-Range Fusion Network for Real-Time LiDAR Semantic Segmentation
Xiaoyan Li, Gang Zhang, Tao Jiang, Xufen Cai, Zhenhua Wang
Unsupervised Embedding and Association Network for Multi-Object Tracking
Yu-Lei Li
Multi-View Visual Semantic Embedding
Zheng Li, Caili Guo, Zerun Feng, Jenq-Neng Hwang, Xijun Xue
Self-supervised Learning and Adaptation for Single Image Dehazing
Yudong Liang, Bin Wang, Wangmeng Zuo, Jiaying Liu, Wenqi Ren
Feature Dense Relevance Network for Single Image Dehazing
Yun Liang, Enze Huang, Zifeng Zhang, Zhuo Su, Dong Wang
RMGN: A Regional Mask Guided Network for Parser-free Virtual Try-on
Chao Lin, Zhao Li, Sheng Zhou, Shichang Hu, Jialun Zhang, Linhao Luo, Jiarun Zhang, Longtao Huang, Yuan He
Learning to Estimate Object Poses without Real Image Annotations
Haotong Lin, Sida Peng, Zhize Zhou, Xiaowei Zhou
Intrinsic Image Decomposition by Pursuing Reflectance Image
Tzu-Heng Lin, Pengxiao Wang, Yizhou Wang
FQ-ViT: Post-Training Quantization for Fully Quantized Vision Transformer
Yang Lin, Tianyu Zhang, Peiqin Sun, Zheng Li, Shuchang Zhou
MA-ViT: Modality-Agnostic Vision Transformers for Face Anti-Spoofing
Ajian Liu, Yanyan Liang
Dynamic Group Transformer: A General Vision Transformer Backbone with Dynamic Group Attention
Kai Liu, Tianyi Wu, Cong Liu, Guodong Guo
Cost Ensemble with Gradient Selecting for GANs
Minghui Liu, Jiali Deng, Meiyi Yang, Xuan Cheng, Nianbo Liu, Ming Liu, Xiaomin Wang
TopoSeg: Topology-aware Segmentation for Point Clouds
Weiquan Liu, Hanyun Guo, Weini Zhang, Yu Zang, Cheng Wang, Jonathan Li
Biological Instance Segmentation with a Superpixel-Guided Graph
Xiaoyu Liu, Wei Huang, Yueyi Zhang, Zhiwei Xiong
Vision Shared and Representation Isolated Network for Person Search
Yang Liu, Yingping Li, Chengyu Kong, Yuqiu Kong, Shenglan Liu, Feilong Wang
Copy Motion From One to Another: Fake Motion Video Generation
Zhenguang Liu, Sifan Wu, Chejian Xu, Xiang Wang, Lei Zhu, Shuang Wu, Fuli Feng
Deep Video Harmonization With Color Mapping Consistency
Xinyuan Lu, Shengyuan Huang, Li Niu, Wenyan Cong, Liqing Zhang
Learning Multi-dimensional Edge Feature-based AU Relation Graph for Facial Action Unit Recognition
Cheng Luo, Siyang Song, Weicheng Xie, Linlin Shen, Hatice Gunes
Long-Short Term Cross-Transformer in Compressed Domain for Few-Shot Video Classification
Wenyang Luo, Yufan Liu, Bing Li, Weiming Hu, Yanan Miao, Yangxi Li
Improved Deep Unsupervised Hashing with Fine-grained Semantic Similarity Mining for Multi-Label Image Retrieval
Zeyu Ma, Xiao Luo, Yingjie Chen, Mixiao Hou, Jinxing Li, Minghua Deng, Guangming Lu
Learning Degradation Uncertainty for Unsupervised Real-world Image Super-resolution
Qian Ning, Jingzhu Tang, Fangfang Wu, Weisheng Dong, Xin Li, Guangming Shi
Continual Semantic Segmentation Leveraging Image-level Labels and Rehearsal
Mathieu Pagé Fortin, Brahim Chaib-draa
Multilevel Hierarchical Network with Multiscale Sampling for Video Question Answering
Min Peng, Chongyang Wang, Yuan Gao, Yu Shi, Xiang-Dong Zhou
Source-Adaptive Discriminative Kernels based Network for Remote Sensing Pansharpening
Siran Peng, Liang-Jian Deng, Jin-Fan Hu, Yuwei Zhuo
SimMC: Simple Masked Contrastive Learning of Skeleton Representations for Unsupervised Person Re-Identification
Haocong Rao, Chunyan Miao
ChimeraMix: Image Classification on Small Datasets via Masked Feature Mixing
Christoph Reinders, Frederik Schubert, Bodo Rosenhahn
IDPT: Interconnected Dual Pyramid Transformer for Face Super-Resolution
Jingang Shi, Yusi Wang, Songlin Dong, Xiaopeng Hong, Zitong Yu, Fei Wang, Changxin Wang, Yihong Gong
A Unified Framework for Adversarial Attack and Defense in Constrained Feature Space
Thibault Simonetto, Salijona Dyrmishi, Salah Ghamizi, Maxime Cordy, Yves Le Traon
Emotion-Controllable Generalized Talking Face Generation
Sanjana Sinha, Sandika Biswas, Ravindra Yadav, Brojeshwar Bhowmick
Harnessing Fourier Isovists and Geodesic Interaction for Long-Term Crowd Flow Prediction
Samuel S. Sohn, Seonghyeon Moon, Honglu Zhou, Mihee Lee, Sejong Yoon, Vladimir Pavlovic, Mubbasir Kapadia
Boundary-Guided Camouflaged Object Detection
Yujia Sun, Shuo Wang, Chenglizhao Chen, Tian-Zhu Xiang
Dynamic Domain Generalization
Zhishu Sun, Zhifeng Shen, Luojun Lin, Yuanlong Yu, Zhifeng Yang, Shicai Yang, Weijie Chen
Video Frame Interpolation Based on Deformable Kernel Region
Haoyue Tian, Pan Gao, Xiaojiang Peng
Hypertron: Explicit Social-Temporal Hypergraph Framework for Multi-Agent Forecasting
Yu Tian, Xingliang Huang, Ruigang Niu, Hongfeng Yu, Peijin Wang, Xian Sun
Automatic Recognition of Emotional Subgroups in Images
Emmeke Veltmeijer, Charlotte Gerritsen, Koen Hindriks
Augmenting Anchors by the Detector Itself
Xiaopei Wan, Guoqiu Li, Yujiu Yang, Zhenhua Guo
Absolute Wrong Makes Better: Boosting Weakly Supervised Object Detection via Negative Deterministic Information
Guanchun Wang, Xiangrong Zhang, Zelin Peng, Xu Tang, Huiyu Zhou, Licheng Jiao
Iterative Few-shot Semantic Segmentation from Image Label Text
Haohan Wang, Liang Liu, Wuhao Zhang, Jiangning Zhang, Zhenye Gan, Yabiao Wang, Chengjie Wang, Haoqian Wang
Spatiality-guided Transformer for 3D Dense Captioning on Point Clouds
Heng Wang, Chaoyi Zhang, Jianhui Yu, Weidong Cai
Adaptive Convolutional Dictionary Network for CT Metal Artifact Reduction
Hong Wang, Yuexiang Li, Deyu Meng, Yefeng Zheng
KUNet: Imaging Knowledge-Inspired Single HDR Image Reconstruction
Hu Wang, Mao Ye, Xiatian Zhu, Shuai Li, Ce Zhu, Xue Li
I2CNet: An Intra- and Inter-Class Context Information Fusion Network for Blastocyst Segmentation
Hua Wang, Linwei Qiu, Jingfei Hu, Jicong Zhang
PACE: Predictive and Contrastive Embedding for Unsupervised Action Segmentation
Jiahao Wang, Jie Qin, Yunhong Wang, Annan Li
Double-Check Soft Teacher for Semi-Supervised Object Detection
Kuo Wang, Yuxiang Nie, Chaowei Fang, Chengzhi Han, Xuewen Wu, Xiaohui Wang Wang, Liang Lin, Fan Zhou, Guanbin Li
RePre: Improving Self-Supervised Vision Transformer with Reconstructive Pre-training
Luya Wang, Feng Liang, Yangguang Li, Honggang Zhang, Wanli Ouyang, Jing Shao
Uncertainty-Guided Pixel Contrastive Learning for Semi-Supervised Medical Image Segmentation
Tao Wang, Jianglin Lu, Zhihui Lai, Jiajun Wen, Heng Kong
CARD: Semi-supervised Semantic Segmentation via Class-agnostic Relation based Denoising
Xiaoyang Wang, Jimin Xiao, Bingfeng Zhang, Limin Yu
Corner Affinity: A Robust Grouping Algorithm to Make Corner-guided Detector Great Again
Haoran Wei, Chenglong Liu, Ping Guo, Yangguang Zhu, Jiamei Fu, Bing Wang, Peng Wang
Multi-scale Spatial Representation Learning via Recursive Hermite Polynomial Networks
Lin (Yuanbo) Wu, Deyin Liu, Xiaojie Guo, Richang Hong, Liangchen Liu, Rui Zhang
A Decoder-free Transformer-like Architecture for High-efficiency Single Image Deraining
Xiao Wu, Ting-Zhu Huang, Liang-Jian Deng, Tian-Jing Zhang
Eliminating Backdoor Triggers for Deep Neural Networks Using Attention Relation Graph Distillation
Jun Xia, Ting Wang, Jiepin Ding, Xian Wei, Mingsong Chen
SCMT: Self-Correction Mean Teacher for Semi-supervised Object Detection
Feng Xiong, Jiayi Tian, Zhihui Hao, Yulin He, Xiaofeng Ren
Boosting Multi-Label Image Classification with Complementary Parallel Self-Distillation
Jiazhi Xu, Sheng Huang, Fengtao Zhou, Luwen Huangfu, Daniel Zeng, Bo Liu
Webly-Supervised Fine-Grained Recognition with Partial Label Learning
Yu-Yan Xu, Yang Shen, Xiu-Shen Wei, Jian Yang
BiCo-Net: Regress Globally, Match Locally for Robust 6D Pose Estimation
Zelin Xu, Yichen Zhang, Ke Chen, Kui Jia
Towards Adversarially Robust Deep Image Denoising
Hanshu Yan, Jingfeng Zhang, Jiashi Feng, Masashi Sugiyama, Vincent Y. F. Tan
Weakening the Influence of Clothing: Universal Clothing Attribute Disentanglement for Person Re-Identification
Yuming Yan, Huimin Yu, Shuzhao Li, Zhaohui Lu, Jianfeng He, Haozhuo Zhang, Runfa Wang
Multi-level Consistency Learning for Semi-supervised Domain Adaptation
Zizheng Yan, Yushuang Wu, Guanbin Li, Yipeng Qin, Xiaoguang Han, Shuguang Cui
Perceptual Learned Video Compression with Recurrent Conditional GAN
Ren Yang, Radu Timofte, Luc Van Gool
CrowdFormer: An Overlap Patching Vision Transformer for Top-Down Crowd Counting
Shaopeng Yang, Weiyu Guo, Yuheng Ren
Entity-aware and Motion-aware Transformers for Language-driven Action Localization
Shuo Yang, Xinxiao Wu
Learning Prototype via Placeholder for Zero-shot Recognition
Zaiquan Yang, Yang Liu, Wenjia Xu, Chong Huang, Lei Zhou, Chao Tong
Learning Implicit Body Representations from Double Diffusion Based Neural Radiance Fields
Guangming Yao, Hongzhi Wu, Yi Yuan, Lincheng Li, Kun Zhou, Xin Yu
RAPQ: Rescuing Accuracy for Power-of-Two Low-bit Post-training Quantization
Hongyi Yao, Pu Li, Jian Cao, Xiangcheng Liu, Chenying Xie, Bingzhang Wang
Learning Sparse Interpretable Features For NAS Scoring From Liver Biopsy Images
Chong Yin, Siqi Liu, Vincent Wai-Sun Wong, Pong C Yuen
Learning to Hash Naturally Sorts
Jiaguo Yu, Yuming Shen, Menghan Wang, Haofeng Zhang, Philip H.S. Torr
Multi-Proxy Learning from an Entropy Optimization Perspective
Yunlong Yu, Dingyi Zhang, Yingming Li, Zhongfei Zhang
To Fold or Not to Fold: a Necessary and Sufficient Condition on Batch-Normalization Layers Folding
Edouard Yvinec, Arnaud Dapogny, Kevin Bailly
S2 Transformer for Image Captioning
Pengpeng Zeng, Haonan Zhang, Jingkuan Song, Lianli Gao
Towards Universal Backward-Compatible Representation Learning
Binjie Zhang, Yixiao Ge, Yantao Shen, Shupeng Su, Fanzi Wu, Chun Yuan, Xuyuan Xu, Yexin Wang, Ying Shan
Region-level Contrastive and Consistency Learning for Semi-Supervised Semantic Segmentation
Jianrong Zhang, Tianyi Wu, Chuanghao Ding, Hongwei Zhao, Guodong Guo
Improving Transferability of Adversarial Examples with Virtual Step and Auxiliary Gradients
Ming Zhang, Xiaohui Kuang, Hu Li, Zhendong Wu, Yuanping Nie, Gang Zhao
Plane Geometry Diagram Parsing
Ming-Liang Zhang, Fei Yin, Yi-Han Hao, Cheng-Lin Liu
SAR-to-Optical Image Translation via Neural Partial Differential Equations
Mingjin Zhang, Chengyu He, Jing Zhang, Yuxiang Yang, Xiaoqi Peng, Jie Guo
A Probabilistic Code Balance Constraint with Compactness and Informativeness Enhancement for Deep Supervised Hashing
Qi Zhang, Liang Hu, Longbing Cao, Chongyang Shi, Shoujin Wang, Dora D. Liu
CATrans: Context and Affinity Transformer for Few-Shot Segmentation
Shan Zhang, Tianyi Wu, Sitong Wu, Guodong Guo
Few-Shot Adaptation of Pre-Trained Networks for Domain Shift
Wenyu Zhang, Li Shen, Wanyue Zhang, Chuan-Sheng Foo
Enhancing the Transferability of Adversarial Examples with Random Patch
Yaoyuan Zhang, Yu-an Tan, Tian Chen, Xinrui Liu, Quanxin Zhang, Yuanzhang Li
Visual Emotion Representation Learning via Emotion-Aware Pre-training
Yue Zhang, Wanying Ding, Ran Xu, Xiaohua Hu
Distilling Inter-Class Distance for Semantic Segmentation
Zhengbo Zhang, Chunluan Zhou, Zhigang Tu
Domain Adversarial Learning for Color Constancy
Zhifeng Zhang, Xuejing Kang, Anlong Ming
Domain Adaptation via Maximizing Surrogate Mutual Information
Haiteng Zhao, Chang Ma, Qinyu Chen, Zhi-Hong Deng
C3-STISR: Scene Text Image Super-resolution with Triple Clues
Minyi Zhao, Miao Wang, Fan Bai, Bingjia Li, Jie Wang, Shuigeng Zhou
Learning to Generate Image Source-Agnostic Universal Adversarial Perturbations
Pu Zhao, Parikshit Ram, Songtao Lu, Yuguang Yao, Djallel Bouneffouf, Xue Lin, Sijia Liu
Test-time Fourier Style Calibration for Domain Generalization
Xingchen Zhao, Chang Liu, Anthony Sicilia, Seong Jae Hwang, Yun Fu
Visual Similarity Attention
Meng Zheng, Srikrishna Karanam, Terrence Chen, Richard J. Radke, Ziyan Wu
Imperceptible Backdoor Attack: From Input Space to Feature Representation
Nan Zhong, Zhenxing Qian, Xinpeng Zhang
Rainy WCity: A Real Rainfall Dataset with Diverse Conditions for Semantic Driving Scene Understanding
Xian Zhong, Shidong Tu, Xianzheng Ma, Kui Jiang, Wenxin Huang, Zheng Wang
HifiHead: One-Shot High Fidelity Neural Head Synthesis with 3D Control
Feida Zhu, Junwei Zhu, Wenqing Chu, Ying Tai, Zhifeng Xie, Xiaoming Huang, Chengjie Wang
Hierarchical Bilevel Learning with Architecture and Loss Search for Hadamard-based Image Restoration
Guijing Zhu, Long Ma, Xin Fan, Risheng Liu
Data Mining
Doubly Sparse Asynchronous Learning for Stochastic Composite Optimization
Runxue Bao, Xidong Wu, Wenhan Xian, Heng Huang
Hypergraph Structure Learning for Hypergraph Neural Networks
Derun Cai, Moxian Song, Chenxi Sun, Baofeng Zhang, Shenda Hong, Hongyan Li
Entity Alignment with Reliable Path Reasoning and Relation-aware Heterogeneous Graph Transformer
Weishan Cai, Wenjun Ma, Jieyu Zhan, Yuncheng Jiang
Non-Euclidean Self-Organizing Maps
Dorota Celińska-Kopczyńska, Eryk Kopczyński
Can Abnormality be Detected by Graph Neural Networks?
Ziwei Chai, Siqi You, Yang Yang, Shiliang Pu, Jiarong Xu, Haoyang Cai, Weihao Jiang
Robust High-Dimensional Classification From Few Positive Examples
Deepayan Chakrabarti, Benjamin Fauber
Vertically Federated Graph Neural Network for Privacy-Preserving Node Classification
Chaochao Chen, Jun Zhou, Longfei Zheng, Huiwen Wu, Lingjuan Lyu, Jia Wu, Bingzhe Wu, Ziqi Liu, Li Wang, Xiaolin Zheng
Meta-Learning Based Knowledge Extrapolation for Knowledge Graphs in the Federated Setting
Mingyang Chen, Wen Zhang, Zhen Yao, Xiangnan Chen, Mengxiao Ding, Fei Huang, Huajun Chen
Mutual Distillation Learning Network for Trajectory-User Linking
Wei Chen, ShuZhe Li, Chao Huang, Yanwei Yu, Yongguo Jiang, Junyu Dong
Towards Robust Dense Retrieval via Local Ranking Alignment
Xuanang Chen, Jian Luo, Ben He, Le Sun, Yingfei Sun
Filtration-Enhanced Graph Transformation
Zijian Chen, Rong-Hua Li, Hongchao Qin, Huanzhong Duan, Yanxiong Lu, Qiangqiang Dai, Guoren Wang
Triformer: Triangular, Variable-Specific Attentions for Long Sequence Multivariate Time Series Forecasting
Razvan-Gabriel Cirstea, Chenjuan Guo, Bin Yang, Tung Kieu, Xuanyi Dong, Shirui Pan
CADET: Calibrated Anomaly Detection for Mitigating Hardness Bias
Ailin Deng, Adam Goodge, Lang Yi Ang, Bryan Hooi
Private Semi-Supervised Federated Learning
Chenyou Fan, Junjie Hu, Jianwei Huang
Feature and Instance Joint Selection: A Reinforcement Learning Perspective
Wei Fan, Kunpeng Liu, Hao Liu, Hengshu Zhu, Hui Xiong, Yanjie Fu
MetaER-TTE: An Adaptive Meta-learning Model for En Route Travel Time Estimation
Yu Fan, Jiajie Xu, Rui Zhou, Jianxin Li, Kai Zheng, Lu Chen, Chengfei Liu
When Transfer Learning Meets Cross-City Urban Flow Prediction: Spatio-Temporal Adaptation Matters
Ziquan Fang, Dongen Wu, Lu Pan, Lu Chen, Yunjun Gao
Disentangling the Computational Complexity of Network Untangling
Vincent Froese, Pascal Kunz, Philipp Zschoche
Modeling Precursors for Temporal Knowledge Graph Reasoning via Auto-encoder Structure
Yifu Gao, Linhui Feng, Zhigang Kan, Yi Han, Linbo Qiao, Dongsheng Li
Self-supervised Graph Neural Networks for Multi-behavior Recommendation
Shuyun Gu, Xiao Wang, Chuan Shi, Ding Xiao
Constrained Adaptive Projection with Pretrained Features for Anomaly Detection
Xingtai Gui, Di Wu, Yang Chang, Shicai Fan
Quaternion Ordinal Embedding
Wenzheng Hou, Qianqian Xu, Ke Ma, Qianxiu Hao, Qingming Huang
MERIT: Learning Multi-level Representations on Temporal Graphs
Binbin Hu, Zhengwei Wu, Jun Zhou, Ziqi Liu, Zhigang Huangfu, Zhiqiang Zhang, Chaochao Chen
GraphDIVE: Graph Classification by Mixture of Diverse Experts
Fenyu Hu, Liping Wang, Qiang Liu, Shu Wu, Liang Wang, Tieniu Tan
End-to-End Open-Set Semi-Supervised Node Classification with Out-of-Distribution Detection
Tiancheng Huang, Donglin Wang, Yuan Fang, Zhengyu Chen
A Sparse-Motif Ensemble Graph Convolutional Network against Over-smoothing
Xuan Jiang, Zhiyong Yang, Peisong Wen, Li Su, Qingming Huang
CGMN: A Contrastive Graph Matching Network for Self-Supervised Graph Similarity Learning
Di Jin, Luzhi Wang, Yizhen Zheng, Xiang Li, Fei Jiang, Wei Lin, Shirui Pan
RAW-GNN: RAndom Walk Aggregation based Graph Neural Network
Di Jin, Rui Wang, Meng Ge, Dongxiao He, Xiang Li, Wei Lin, Weixiong Zhang
Gromov-Wasserstein Discrepancy with Local Differential Privacy for Distributed Structural Graphs
Hongwei Jin, Xun Chen
TGNN: A Joint Semi-supervised Framework for Graph-level Classification
Wei Ju, Xiao Luo, Meng Qu, Yifan Wang, Chong Chen, Minghua Deng, Xian-Sheng Hua, Ming Zhang
HashNWalk: Hash and Random Walk Based Anomaly Detection in Hyperedge Streams
Geon Lee, Minyoung Choe, Kijung Shin
MLP4Rec: A Pure MLP Architecture for Sequential Recommendations
Muyang Li, Xiangyu Zhao, Chuan Lyu, Minghao Zhao, Runze Wu, Ruocheng Guo
Community Question Answering Entity Linking via Leveraging Auxiliary Data
Yuhan Li, Wei Shen, Jianbo Gao, Yadong Wang
TiRGN: Time-Guided Recurrent Graph Network with Local-Global Historical Patterns for Temporal Knowledge Graph Reasoning
Yujia Li, Shiliang Sun, Jing Zhao
Discrete Listwise Personalized Ranking for Fast Top-N Recommendation with Implicit Feedback
Fangyuan Luo, Jun Wu, Tao Wang
Adapt to Adaptation: Learning Personalization for Cross-Silo Federated Learning
Jun Luo, Shandong Wu
Reconciling Cognitive Modeling with Knowledge Forgetting: A Continuous Time-aware Neural Network Approach
Haiping Ma, Jingyuan Wang, Hengshu Zhu, Xin Xia, Haifeng Zhang, Xingyi Zhang, Lei Zhang
Continual Federated Learning Based on Knowledge Distillation
Yuhang Ma, Zhongle Xie, Jue Wang, Ke Chen, Lidan Shou
Physics-Informed Long-Sequence Forecasting From Multi-Resolution Spatiotemporal Data
Chuizheng Meng, Hao Niu, Guillaume Habault, Roberto Legaspi, Shinya Wada, Chihiro Ono, Yan Liu
Raising the Bar in Graph-level Anomaly Detection
Chen Qiu, Marius Kloft, Stephan Mandt, Maja Rudolph
Poisoning Deep Learning Based Recommender Model in Federated Learning Scenarios
Dazhong Rong, Qinming He, Jianhai Chen
Towards Resolving Propensity Contradiction in Offline Recommender Learning
Yuta Saito, Masahiro Nomura
Federated Learning on Heterogeneous and Long-Tailed Data via Classifier Re-Training with Federated Features
Xinyi Shang, Yang Lu, Gang Huang, Hanzi Wang
Long-term Spatio-Temporal Forecasting via Dynamic Multiple-Graph Attention
Wei Shao, Zhiling Jin, Shuo Wang, Yufan Kang, Xiao Xiao, Hamid Menouar, Zhaofeng Zhang, Junshan Zhang, Flora Salim
Beyond Homophily: Structure-aware Path Aggregation Graph Neural Network
Yifei Sun, Haoran Deng, Yang Yang, Chunping Wang, Jiarong Xu, Renhong Huang, Linfeng Cao, Yang Wang, Lei Chen
Personalized Federated Learning with Contextualized Generalization
Xueyang Tang, Song Guo, Jingcai Guo
Positive-Unlabeled Learning with Adversarial Data Augmentation for Knowledge Graph Completion
Zhenwei Tang, Shichao Pei, Zhao Zhang, Yongchun Zhu, Fuzhen Zhuang, Robert Hoehndorf, Xiangliang Zhang
Anomaly Detection by Leveraging Incomplete Anomalous Knowledge with Anomaly-Aware Bidirectional GANs
Bowen Tian, Qinliang Su, Jian Yin
MEIM: Multi-partition Embedding Interaction Beyond Block Term Format for Efficient and Expressive Link Prediction
Hung-Nghiep Tran, Atsuhiro Takasu
HCFRec: Hash Collaborative Filtering via Normalized Flow with Structural Consensus for Efficient Recommendation
Fan Wang, Weiming Liu, Chaochao Chen, Mengying Zhu, Xiaolin Zheng
Augmenting Knowledge Graphs for Better Link Prediction
Jiang Wang, Filip Ilievski, Pedro Szekely, Ke-Thia Yao
FAITH: Few-Shot Graph Classification with Hierarchical Task Graphs
Song Wang, Yushun Dong, Xiao Huang, Chen Chen, Jundong Li
Language Models as Knowledge Embeddings
Xintao Wang, Qianyu He, Jiaqing Liang, Yanghua Xiao
Ensemble Multi-Relational Graph Neural Networks
Yuling Wang, Hao Xu, Yanhua Yu, Mengdi Zhang, Zhenhao Li, Yuji Yang, Wei Wu
CTL-MTNet: A Novel CapsNet and Transfer Learning-Based Mixed Task Net for Single-Corpus and Cross-Corpus Speech Emotion Recognition
Xin-Cheng Wen, JiaXin Ye, Yan Luo, Yong Xu, Xuan-Ze Wang, Chang-Li Wu, Kun-Hong Liu
Multi-Graph Fusion Networks for Urban Region Embedding
Shangbin Wu, Xu Yan, Xiaoliang Fan, Shirui Pan, Shichao Zhu, Chuanpan Zheng, Ming Cheng, Cheng Wang
Understanding and Mitigating Data Contamination in Deep Anomaly Detection: A Kernel-based Approach
Shuang Wu, Jingyu Zhao, Guangjian Tian
Decentralized Unsupervised Learning of Visual Representations
Yawen Wu, Zhepeng Wang, Dewen Zeng, Meng Li, Yiyu Shi, Jingtong Hu
FedCG: Leverage Conditional GAN for Protecting Privacy and Maintaining Competitive Performance in Federated Learning
Yuezhou Wu, Yan Kang, Jiahuan Luo, Yuanqin He, Lixin Fan, Rong Pan, Qiang Yang
Subgraph Neighboring Relations Infomax for Inductive Link Prediction on Knowledge Graphs
Xiaohan Xu, Peng Zhang, Yongquan He, Chengpeng Chao, Chaoyang Yan
GOCPT: Generalized Online Canonical Polyadic Tensor Factorization and Completion
Chaoqi Yang, Cheng Qian, Jimeng Sun
Trading Hard Negatives and True Negatives: A Debiased Contrastive Collaborative Filtering Approach
Chenxiao Yang, Qitian Wu, Jipeng Jin, Xiaofeng Gao, Junwei Pan, Guihai Chen
Regularized Graph Structure Learning with Semantic Knowledge for Multi-variates Time-Series Forecasting
Hongyuan Yu, Ting Li, Weichen Yu, Jianguo Li, Yan Huang, Liang Wang, Alex Liu
CERT: Continual Pre-training on Sketches for Library-oriented Code Generation
Daoguang Zan, Bei Chen, Dejian Yang, Zeqi Lin, Minsu Kim, Bei Guan, Yongji Wang, Weizhu Chen, Jian-Guang Lou
Reconstruction Enhanced Multi-View Contrastive Learning for Anomaly Detection on Attributed Networks
Jiaqiang Zhang, Senzhang Wang, Songcan Chen
Dynamic Graph Learning Based on Hierarchical Memory for Origin-Destination Demand Prediction
Ruixing Zhang, Liangzhe Han, Boyi Liu, Jiayuan Zeng, Leilei Sun
GRELEN: Multivariate Time Series Anomaly Detection from the Perspective of Graph Relational Learning
Weiqi Zhang, Chen Zhang, Fugee Tsung
Enhancing Sequential Recommendation with Graph Contrastive Learning
Yixin Zhang, Yong Liu, Yonghui Xu, Hao Xiong, Chenyi Lei, Wei He, Lizhen Cui, Chunyan Miao
T-SMOTE: Temporal-oriented Synthetic Minority Oversampling Technique for Imbalanced Time Series Classification
Pu Zhao, Chuan Luo, Bo Qiao, Lu Wang, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang
MFAN: Multi-modal Feature-enhanced Attention Networks for Rumor Detection
Jiaqi Zheng, Xi Zhang, Sanchuan Guo, Quan Wang, Wenyu Zang, Yongdong Zhang
Table2Graph: Transforming Tabular Data to Unified Weighted Graph
Kaixiong Zhou, Zirui Liu, Rui Chen, Li Li, Soo-Hyun Choi, Xia Hu
Bridging Differential Privacy and Byzantine-Robustness via Model Aggregation
Heng Zhu, Qing Ling
Spiking Graph Convolutional Networks
Zulun Zhu, Jiaying Peng, Jintang Li, Liang Chen, Qi Yu, Siqiang Luo
Data-Free Adversarial Knowledge Distillation for Graph Neural Networks
Yuanxin Zhuang, Lingjuan Lyu, Chuan Shi, Carl Yang, Lichao Sun
Proximity Enhanced Graph Neural Networks with Channel Contrast
Wei Zhuo, Guang Tan
Knowledge Representation and Reasoning
On Preferences and Priority Rules in Abstract Argumentation
Gianvincenzo Alfano, Sergio Greco, Francesco Parisi, Irina Trubitsyna
Beyond Strong-Cyclic: Doing Your Best in Stochastic Environments
Benjamin Aminof, Giuseppe De Giacomo, Sasha Rubin, Florian Zuleger
Annotated Sequent Calculi for Paraconsistent Reasoning and Their Relations to Logical Argumentation
Ofer Arieli, Kees van Berkel, Christian Straßer
Limits and Possibilities of Forgetting in Abstract Argumentation
Ringo Baumann, Matti Berthold
Body-Decoupled Grounding via Solving: A Novel Approach on the ASP Bottleneck
Viktor Besin, Markus Hecher, Stefan Woltran
Verification and Monitoring for First-Order LTL with Persistence-Preserving Quantification over Finite and Infinite Traces
Diego Calvanese, Giuseppe De Giacomo, Marco Montali, Fabio Patrizi
The Limits of Morality in Strategic Games
Rui Cao, Pavel Naumov
On Verifying Expectations and Observations of Intelligent Agents
Sourav Chakraborty, Avijeet Ghosh, Sujata Ghosh, François Schwarzentruber
Personalized Federated Learning With a Graph
Fengwen Chen, Guodong Long, Zonghan Wu, Tianyi Zhou, Jing Jiang
On the Complexity of Enumerating Prime Implicants from Decision-DNNF Circuits
Alexis de Colnet, Pierre Marquis
LTLf Synthesis as AND-OR Graph Search: Knowledge Compilation at Work
Giuseppe De Giacomo, Marco Favorito, Jianwen Li, Moshe Y. Vardi, Shengping Xiao, Shufang Zhu
Epistemic Logic of Likelihood and Belief
James P. Delgrande, Joshua Sack, Gerhard Lakemeyer, Maurice Pagnucco
LTL on Weighted Finite Traces: Formal Foundations and Algorithms
Carmine Dodaro, Valeria Fionda, Gianluigi Greco
Abstract Argumentation Frameworks with Marginal Probabilities
Bettina Fazzinga, Sergio Flesca, Filippo Furfaro
Plausibility Reasoning via Projected Answer Set Counting - A Hybrid Approach
Johannes K. Fichte, Markus Hecher, Mohamed A. Nadeem
Frontiers and Exact Learning of ELI Queries under DL-Lite Ontologies
Maurice Funk, Jean Christoph Jung, Carsten Lutz
Simulating Sets in Answer Set Programming
Sarah Alice Gaggl, Philipp Hanisch, Markus Krötzsch
Linear Temporal Logic Modulo Theories over Finite Traces
Luca Geatti, Alessandro Gianola, Nicola Gigante
A Computationally Grounded Logic of 'Seeing-to-it-that'
Andreas Herzig, Emiliano Lorini, Elise Perrotin
Possibilistic Logic Underlies Abstract Dialectical Frameworks
Jesse Heyninck, Gabriele Kern-Isberner, Tjitze Rienstra, Kenneth Skiba, Matthias Thimm
Lexicographic Entailment, Syntax Splitting and the Drowning Problem
Jesse Heyninck, Gabriele Kern-Isberner, Thomas Meyer
Computing Concept Referring Expressions for Queries on Horn ALC Ontologies
Moritz Illich, Birte Glimm
The Egocentric Logic of Preferences
Junli Jiang, Pavel Naumov
In Data We Trust: The Logic of Trust-Based Beliefs
Junli Jiang, Pavel Naumov
Conditional Independence for Iterated Belief Revision
Gabriele Kern-Isberner, Jesse Heyninck, Christoph Beierle
Search Space Expansion for Efficient Incremental Inductive Logic Programming from Streamed Data
Mark Law, Krysia Broda, Alessandra Russo
Explanations for Negative Query Answers under Inconsistency-Tolerant Semantics
Thomas Lukasiewicz, Enrico Malizia, Cristian Molinaro
Causes of Effects: Learning Individual Responses from Population Data
Scott Mueller, Ang Li, Judea Pearl
Inverse Problems for Gradual Semantics
Nir Oren, Bruno Yun, Srdjan Vesic, Murilo Baptista
Learning Higher-Order Logic Programs From Failures
Stanisław J. Purgał, David M. Cerna, Cezary Kaliszyk
Revision by Comparison for Ranking Functions
Meliha Sezgin, Gabriele Kern-Isberner
Considering Constraint Monotonicity and Foundedness in Answer Set Programming
Yi-Dong Shen, Thomas Eiter
Updating Probability Intervals with Uncertain Inputs
Karim Tabia
Simple and Effective Relation-based Embedding Propagation for Knowledge Representation Learning
Huijuan Wang, Siming Dai, Weiyue Su, Hui Zhong, Zeyang Fang, Zhengjie Huang, Shikun Feng, Zeyu Chen, Yu Sun, Dianhai Yu
Human Parity on CommonsenseQA: Augmenting Self-Attention with External Attention
Yichong Xu, Chenguang Zhu, Shuohang Wang, Siqi Sun, Hao Cheng, Xiaodong Liu, Jianfeng Gao, Pengcheng He, Michael Zeng, Xuedong Huang
GL-RG: Global-Local Representation Granularity for Video Captioning
Liqi Yan, Qifan Wang, Yiming Cui, Fuli Feng, Xiaojun Quan, Xiangyu Zhang, Dongfang Liu
FedDUAP: Federated Learning with Dynamic Update and Adaptive Pruning Using Shared Data on the Server
Hong Zhang, Ji Liu, Juncheng Jia, Yang Zhou, Huaiyu Dai, Dejing Dou
Synthesis of Maximally Permissive Strategies for LTLf Specifications
Shufang Zhu, Giuseppe De Giacomo
Machine Learning
Learning Label Initialization for Time-Dependent Harmonic Extension.
Amitoz Azad
Fixed-Budget Best-Arm Identification in Structured Bandits
MohammadJavad Azizi, Branislav Kveton, Mohammad Ghavamzadeh
One Weird Trick to Improve Your Semi-Weakly Supervised Semantic Segmentation Model
Wonho Bae, Junhyug Noh, Milad Jalali Asadabadi, Danica J. Sutherland
Logit Mixing Training for More Reliable and Accurate Prediction
Duhyeon Bang, Kyungjune Baek, Jiwoo Kim, Yunho Jeon, Jin-Hwa Kim, Jiwon Kim, Jongwuk Lee, Hyunjung Shim
Adversarial Explanations for Knowledge Graph Embeddings
Patrick Betz, Christian Meilicke, Heiner Stuckenschmidt
Not a Number: Identifying Instance Features for Capability-Oriented Evaluation
Ryan Burnell, John Burden, Danaja Rutar, Konstantinos Voudouris, Lucy Cheke, José Hernández-Orallo
Posistive-Unlabeled Learning via Optimal Transport and Margin Distribution
Nan Cao, Teng Zhang, Xuanhua Shi, Hai Jin
Neural Contextual Anomaly Detection for Time Series
Chris U. Carmona, François-Xavier Aubet, Valentin Flunkert, Jan Gasthaus
Rethinking the Promotion Brought by Contrastive Learning to Semi-Supervised Node Classification
Deli Chen, Yankai Lin, Lei Li, Xuancheng Ren, Peng Li, Jie Zhou, Xu Sun
Self-Supervised Mutual Learning for Dynamic Scene Reconstruction of Spiking Camera
Shiyan Chen, Chaoteng Duan, Zhaofei Yu, Ruiqin Xiong, Tiejun Huang
DDDM: A Brain-Inspired Framework for Robust Classification
Xiyuan Chen, Xingyu Li, Yi Zhou, Tianming Yang
Better Embedding and More Shots for Few-shot Learning
Ziqiu Chi, Zhe Wang, Mengping Yang, Wei Guo, Xinlei Xu
Heterogeneous Ensemble Knowledge Transfer for Training Large Models in Federated Learning
Yae Jee Cho, Andre Manoel, Gauri Joshi, Robert Sim, Dimitrios Dimitriadis
Can We Find Neurons that Cause Unrealistic Images in Deep Generative Networks?
Hwanil Choi, Wonjoon Chang, Jaesik Choi
Geometric Transformer for End-to-End Molecule Properties Prediction
Yoni Choukroun, Lior Wolf
Multiband VAE: Latent Space Alignment for Knowledge Consolidation in Continual Learning
Kamil Deja, Paweł Wawrzyński, Wojciech Masarczyk, Daniel Marczak, Tomasz Trzciński
Reinforcement Learning with Option Machines
Floris den Hengst, Vincent Francois-Lavet, Mark Hoogendoorn, Frank van Harmelen
Coherent Probabilistic Aggregate Queries on Long-horizon Forecasts
Prathamesh Deshpande, Sunita Sarawagi
Taylor-Lagrange Neural Ordinary Differential Equations: Toward Fast Training and Evaluation of Neural ODEs
Franck Djeumou, Cyrus Neary, Eric Goubault, Sylvie Putot, Ufuk Topcu
Residual Contrastive Learning for Image Reconstruction: Learning Transferable Representations from Noisy Images
Nanqing Dong, Matteo Maggioni, Yongxin Yang, Eduardo Pérez-Pellitero, Ales Leonardis, Steven McDonagh
Function-words Adaptively Enhanced Attention Networks for Few-Shot Inverse Relation Classification
Chunliu Dou, Shaojuan Wu, Xiaowang Zhang, Zhiyong Feng, Kewen Wang
Multi-Vector Embedding on Networks with Taxonomies
Yue Fan, Xiuli Ma
Learning Unforgotten Domain-Invariant Representations for Online Unsupervised Domain Adaptation
Cheng Feng, Chaoliang Zhong, Jie Wang, Ying Zhang, Jun Sun, Yasuto Yokota
Comparison Knowledge Translation for Generalizable Image Classification
Zunlei Feng, Tian Qiu, Sai Wu, Xiaotuan Jin, Zengliang He, Mingli Song, Huiqiong Wang
Non-Cheating Teaching Revisited: A New Probabilistic Machine Teaching Model
Cèsar Ferri, José Hernández-Orallo, Jan Arne Telle
DeepExtrema: A Deep Learning Approach for Forecasting Block Maxima in Time Series Data
Asadullah Hill Galib, Andrew McDonald, Tyler Wilson, Lifeng Luo, Pang-Ning Tan
Multi-view Unsupervised Graph Representation Learning
Jiangzhang Gan, Rongyao Hu, Mengmeng Zhan, Yujie Mo, Yingying Wan, Xiaofeng Zhu
A Reinforcement Learning-Informed Pattern Mining Framework for Multivariate Time Series Classification
Ge Gao, Qitong Gao, Xi Yang, Miroslav Pajic, Min Chi
Bootstrapping Informative Graph Augmentation via A Meta Learning Approach
Hang Gao, Jiangmeng Li, Wenwen Qiang, Lingyu Si, Fuchun Sun, Changwen Zheng
Learning First-Order Rules with Differentiable Logic Program Semantics
Kun Gao, Katsumi Inoue, Yongzhi Cao, Hanpin Wang
Attributed Graph Clustering with Dual Redundancy Reduction
Lei Gong, Sihang Zhou, Wenxuan Tu, Xinwang Liu
Sample Complexity Bounds for Robustly Learning Decision Lists against Evasion Attacks
Pascale Gourdeau, Varun Kanade, Marta Kwiatkowska, James Worrell
RoboGNN: Robustifying Node Classification under Link Perturbation
Sheng Guan, Hanchao Ma, Yinghui Wu
Option Transfer and SMDP Abstraction with Successor Features
Dongge Han, Sebastian Tschiatschek
To Trust or Not To Trust Prediction Scores for Membership Inference Attacks
Dominik Hintersdorf, Lukas Struppek, Kristian Kersting
Leveraging Class Abstraction for Commonsense Reinforcement Learning via Residual Policy Gradient Methods
Niklas Hopner, Ilaria Tiddi, Herke van Hoof
Learning Continuous Graph Structure with Bilevel Programming for Graph Neural Networks
Minyang Hu, Hong Chang, Bingpeng Ma, Shiguang Shan
SHAPE: An Unified Approach to Evaluate the Contribution and Cooperation of Individual Modalities
Pengbo Hu, Xingyu Li, Yi Zhou
Enhancing Unsupervised Domain Adaptation via Semantic Similarity Constraint for Medical Image Segmentation
Tao Hu, Shiliang Sun, Jing Zhao, Dongyu Shi
Type-aware Embeddings for Multi-Hop Reasoning over Knowledge Graphs
Zhiwei Hu, Victor Gutierrez Basulto, Zhiliang Xiang, Xiaoli Li, Ru Li, Jeff Z. Pan
Reconstructing Diffusion Networks from Incomplete Data
Hao Huang, Keqi Han, Beicheng Xu, Ting Gan
FLS: A New Local Search Algorithm for K-means with Smaller Search Space
Junyu Huang, Qilong Feng, Ziyun Huang, Jinhui Xu, Jianxin Wang
Robust Reinforcement Learning as a Stackelberg Game via Adaptively-Regularized Adversarial Training
Peide Huang, Mengdi Xu, Fei Fang, Ding Zhao
On the Channel Pruning using Graph Convolution Network for Convolutional Neural Network Acceleration
Di Jiang, Yuan Cao, Qiang Yang
Graph Masked Autoencoder Enhanced Predictor for Neural Architecture Search
Kun Jing, Jungang Xu, Pengfei Li
Online Evasion Attacks on Recurrent Models:The Power of Hallucinating the Future
Byunggill Joe, Insik Shin, Jihun Hamm
Set Interdependence Transformer: Set-to-Sequence Neural Networks for Permutation Learning and Structure Prediction
Mateusz Jurewicz, Leon Derczynski
Relational Abstractions for Generalized Reinforcement Learning on Symbolic Problems
Rushang Karia, Siddharth Srivastava
Data Augmentation for Learning to Play in Text-Based Games
Jinhyeon Kim, Kee-Eung Kim
Self-Predictive Dynamics for Generalization of Vision-based Reinforcement Learning
Kyungsoo Kim, Jeongsoo Ha, Yusung Kim
DyGRAIN: An Incremental Learning Framework for Dynamic Graphs
Seoyoon Kim, Seongjun Yun, Jaewoo Kang
Thompson Sampling for Bandit Learning in Matching Markets
Fang Kong, Junming Yin, Shuai Li
Multi-policy Grounding and Ensemble Policy Learning for Transfer Learning with Dynamics Mismatch
Hyun-Rok Lee, Ram Ananth Sreenivasan, Yeonjeong Jeong, Jongseong Jang, Dongsub Shim, Chi-Guhn Lee
Pseudo-spherical Knowledge Distillation
Kyungmin Lee, Hyeongkeun Lee
Libra-CAM: An Activation-Based Attribution Based on the Linear Approximation of Deep Neural Nets and Threshold Calibration
Sangkyun Lee, Sungmin Han
SGAT: Simplicial Graph Attention Network
See Hian Lee, Feng Ji, Wee Peng Tay
Learning General Gaussian Mixture Model with Integral Cosine Similarity
Guanglin Li, Bin Li, Changsheng Chen, Shunquan Tan, Guoping Qiu
Ridgeless Regression with Random Features
Jian Li, Yong Liu, Yingying Zhang
Learning from Students: Online Contrastive Distillation Network for General Continual Learning
Jin Li, Zhong Ji, Gang Wang, Qiang Wang, Feng Gao
Cross-modal Representation Learning and Relation Reasoning for Bidirectional Adaptive Manipulation
Lei Li, Kai Fan, Chun Yuan
Neural PCA for Flow-Based Representation Learning
Shen Li, Bryan Hooi
Pruning-as-Search: Efficient Neural Architecture Search via Channel Pruning and Structural Reparameterization
Yanyu Li, Pu Zhao, Geng Yuan, Xue Lin, Yanzhi Wang, Xin Chen
Rethinking the Setting of Semi-supervised Learning on Graphs
Ziang Li, Ming Ding, Weikai Li, Zihan Wang, Ziyu Zeng, Yukuo Cen, Jie Tang
Contrastive Multi-view Hyperbolic Hierarchical Clustering
Fangfei Lin, Bing Bai, Kun Bai, Yazhou Ren, Peng Zhao, Zenglin Xu
JueWu-MC: Playing Minecraft with Sample-efficient Hierarchical Reinforcement Learning
Zichuan Lin, Junyou Li, Jianing Shi, Deheng Ye, Qiang Fu, Wei Yang
Declaration-based Prompt Tuning for Visual Question Answering
Yuhang Liu, Wei Wei, Daowan Peng, Feida Zhu
Projected Gradient Descent Algorithms for Solving Nonlinear Inverse Problems with Generative Priors
Zhaoqiang Liu, Jun Han
SELC: Self-Ensemble Label Correction Improves Learning with Noisy Labels
Yangdi Lu, Wenbo He
Exploring Binary Classification Hidden within Partial Label Learning
Hengheng Luo, Yabin Zhang, Suyun Zhao, Hong Chen, Cuiping Li
Teaching LTLf Satisfiability Checking to Neural Networks
Weilin Luo, Hai Wan, Jianfeng Du, Xiaoda Li, Yuze Fu, Rongzhen Ye, Delong Zhang
Towards Robust Unsupervised Disentanglement of Sequential Data — A Case Study Using Music Audio
Yin-Jyun Luo, Sebastian Ewert, Simon Dixon
Deep Graph Matching for Partial Label Learning
Gengyu Lyu, Yanan Wu, Songhe Feng
Locally Normalized Soft Contrastive Clustering for Compact Clusters
Xin Ma, Won Hwa Kim
Game Redesign in No-regret Game Playing
Yuzhe Ma, Young Wu, Xiaojin Zhu
COMET Flows: Towards Generative Modeling of Multivariate Extremes and Tail Dependence
Andrew McDonald, Pang-Ning Tan, Lifeng Luo
Tessellation-Filtering ReLU Neural Networks
Bernhard A. Moser, Michal Lewandowski, Somayeh Kargaran, Werner Zellinger, Battista Biggio, Christoph Koutschan
A Few Seconds Can Change Everything: Fast Decision-based Attacks against DNNs
Ningping Mou, Baolin Zheng, Qian Wang, Yunjie Ge, Binqing Guo
Escaping Feature Twist: A Variational Graph Auto-Encoder for Node Clustering
Nairouz Mrabah, Mohamed Bouguessa, Riadh Ksantini
Composing Neural Learning and Symbolic Reasoning with an Application to Visual Discrimination
Adithya Murali, Atharva Sehgal, Paul Krogmeier, P. Madhusudan
Certified Robustness via Randomized Smoothing over Multiplicative Parameters of Input Transformations
Nikita Muravev, Aleksandr Petiushko
Weakly-supervised Text Classification with Wasserstein Barycenters Regularization
Jihong Ouyang, Yiming Wang, Ximing Li, Changchun Li
Search-based Reinforcement Learning through Bandit Linear Optimization
Milan Peelman, Antoon Bronselaer, Guy De Tré
On the Optimization of Margin Distribution
Meng-Zhang Qian, Zheng Ai, Teng Zhang, Wei Gao
Understanding the Limits of Poisoning Attacks in Episodic Reinforcement Learning
Anshuka Rangi, Haifeng Xu, Long Tran-Thanh, Massimo Franceschetti
Multi-Armed Bandit Problem with Temporally-Partitioned Rewards: When Partial Feedback Counts
Giulia Romano, Andrea Agostini, Francesco Trovò, Nicola Gatti, Marcello Restelli
Markov Abstractions for PAC Reinforcement Learning in Non-Markov Decision Processes
Alessandro Ronca, Gabriel Paludo Licks, Giuseppe De Giacomo
PAnDR: Fast Adaptation to New Environments from Offline Experiences via Decoupling Policy and Environment Representations
Tong Sang, Hongyao Tang, Yi Ma, Jianye Hao, Yan Zheng, Zhaopeng Meng, Boyan Li, Zhen Wang
Federated Multi-Task Attention for Cross-Individual Human Activity Recognition
Qiang Shen, Haotian Feng, Rui Song, Stefano Teso, Fausto Giunchiglia, Hao Xu
Lexicographic Multi-Objective Reinforcement Learning
Joar Skalse, Lewis Hammond, Charlie Griffin, Alessandro Abate
Dynamic Sparse Training for Deep Reinforcement Learning
Ghada Sokar, Elena Mocanu, Decebal Constantin Mocanu, Mykola Pechenizkiy, Peter Stone
CCLF: A Contrastive-Curiosity-Driven Learning Framework for Sample-Efficient Reinforcement Learning
Chenyu Sun, Hangwei Qian, Chunyan Miao
Memory Augmented State Space Model for Time Series Forecasting
Yinbo Sun, Lintao Ma, Yu Liu, Shijun Wang, James Zhang, YangFei Zheng, Hu Yun, Lei Lei, Yulin Kang, Llinbao Ye
MMT: Multi-way Multi-modal Transformer for Multimodal Learning
Jiajia Tang, Kang Li, Ming Hou, Xuanyu Jin, Wanzeng Kong, Yu Ding, Qibin Zhao
RecipeRec: A Heterogeneous Graph Learning Model for Recipe Recommendation
Yijun Tian, Chuxu Zhang, Zhichun Guo, Chao Huang, Ronald Metoyer, Nitesh V. Chawla
Recipe2Vec: Multi-modal Recipe Representation Learning with Graph Neural Networks
Yijun Tian, Chuxu Zhang, Zhichun Guo, Yihong Ma, Ronald Metoyer, Nitesh V. Chawla
Stochastic Coherence Over Attention Trajectory For Continuous Learning In Video Streams
Matteo Tiezzi, Simone Marullo, Lapo Faggi, Enrico Meloni, Alessandro Betti, Stefano Melacci
Approximate Exploitability: Learning a Best Response
Finbarr Timbers, Nolan Bard, Edward Lockhart, Marc Lanctot, Martin Schmid, Neil Burch, Julian Schrittwieser, Thomas Hubert, Michael Bowling
Initializing Then Refining: A Simple Graph Attribute Imputation Network
Wenxuan Tu, Sihang Zhou, Xinwang Liu, Yue Liu, Zhiping Cai, En Zhu, Changwang Zhang, Jieren Cheng
Bounded Memory Adversarial Bandits with Composite Anonymous Delayed Feedback
Zongqi Wan, Xiaoming Sun, Jialin Zhang
Unsupervised Misaligned Infrared and Visible Image Fusion via Cross-Modality Image Generation and Registration
Di Wang, Jinyuan Liu, Xin Fan, Risheng Liu
Multi-Task Personalized Learning with Sparse Network Lasso
Jiankun Wang, Lu Sun
IMO^3: Interactive Multi-Objective Off-Policy Optimization
Nan Wang, Hongning Wang, Maryam Karimzadehgan, Branislav Kveton, Craig Boutilier
Modeling Spatio-temporal Neighbourhood for Personalized Point-of-interest Recommendation
Xiaolin Wang, Guohao Sun, Xiu Fang, Jian Yang, Shoujin Wang
Multi-Player Multi-Armed Bandits with Finite Shareable Resources Arms: Learning Algorithms & Applications
Xuchuang Wang, Hong Xie, John C. S. Lui
Estimation and Comparison of Linear Regions for ReLU Networks
Yuan Wang
Self-paced Supervision for Multi-source Domain Adaptation
Zengmao Wang, Chaoyang Zhou, Bo Du, Fengxiang He
Value Refinement Network (VRN)
Jan Wöhlke, Felix Schmitt, Herke van Hoof
EMGC²F: Efficient Multi-view Graph Clustering with Comprehensive Fusion
Danyang Wu, Jitao Lu, Feiping Nie, Rong Wang, Yuan Yuan
A Unified Meta-Learning Framework for Dynamic Transfer Learning
Jun Wu, Jingrui He
A Simple yet Effective Method for Graph Classification
Junran Wu, Shangzhe Li, Jianhao Li, Yicheng Pan, Ke Xu
Stabilizing and Enhancing Link Prediction through Deepened Graph Auto-Encoders
Xinxing wu, Qiang Cheng
Automatically Gating Multi-Frequency Patterns through Rectified Continuous Bernoulli Units with Theoretical Principles
Zheng-Fan Wu, Yi-Nan Feng, Hui Xue
Information Augmentation for Few-shot Node Classification
Zongqian Wu, Peng Zhou, Guoqiu Wen, Yingying Wan, Junbo Ma, Debo Cheng, Xiaofeng Zhu
Adversarial Bi-Regressor Network for Domain Adaptive Regression
Haifeng Xia, Pu Wang, Toshiaki Koike-Akino, Ye Wang, Philip Orlik, Zhengming Ding
Ambiguity-Induced Contrastive Learning for Instance-Dependent Partial Label Learning
Shi-Yu Xia, Jiaqi Lv, Ning Xu, Xin Geng
Neuro-Symbolic Verification of Deep Neural Networks
Xuan Xie, Kristian Kersting, Daniel Neider
MultiQuant: Training Once for Multi-bit Quantization of Neural Networks
Ke Xu, Qiantai Feng, Xingyi Zhang, Dong Wang
MemREIN: Rein the Domain Shift for Cross-Domain Few-Shot Learning
Yi Xu, Lichen Wang, Yizhou Wang, Can Qin, Yulun Zhang, Yun Fu
Active Contrastive Set Mining for Robust Audio-Visual Instance Discrimination
Hanyu Xuan, Yihong Xu, Shuo Chen, Zhiliang Wu, Jian Yang, Yan Yan, Xavier Alameda-Pineda
On the (In)Tractability of Reinforcement Learning for LTL Objectives
Cambridge Yang, Michael L. Littman, Michael Carbin
Towards Applicable Reinforcement Learning: Improving the Generalization and Sample Efficiency with Policy Ensemble
Zhengyu Yang, Kan Ren, Xufang Luo, Minghuan Liu, Weiqing Liu, Jiang Bian, Weinan Zhang, Dongsheng Li
Online ECG Emotion Recognition for Unknown Subjects via Hypergraph-Based Transfer Learning
Yalan Ye, Tongjie Pan, Qianhe Meng, Jingjing Li, Li Lu
Towards Safe Reinforcement Learning via Constraining Conditional Value-at-Risk
ChengYang Ying, Xinning Zhou, Hang Su, Dong Yan, Ning Chen, Jun Zhu
EGCN: An Ensemble-based Learning Framework for Exploring Effective Skeleton-based Rehabilitation Exercise Assessment
Bruce X.B. Yu, Yan Liu, Xiang Zhang, Gong Chen, Keith C.C. Chan
Robust Weight Perturbation for Adversarial Training
Chaojian Yu, Bo Han, Mingming Gong, Li Shen, Shiming Ge, Du Bo, Tongliang Liu
Masked Feature Generation Network for Few-Shot Learning
Yunlong Yu, Dingyi Zhang, Zhong Ji
Don’t Touch What Matters: Task-Aware Lipschitz Data Augmentation for Visual Reinforcement Learning
Zhecheng Yuan, Guozheng Ma, Yao Mu, Bo Xia, Bo Yuan, Xueqian Wang, Ping Luo, Huazhe Xu
Improved Pure Exploration in Linear Bandits with No-Regret Learning
Mohammadi Zaki, Avi Mohan, Aditya Gopalan
Model-Based Offline Planning with Trajectory Pruning
Xianyuan Zhan, Xiangyu Zhu, Haoran Xu
Hyperbolic Knowledge Transfer with Class Hierarchy for Few-Shot Learning
Baoquan Zhang, Hao Jiang, Shanshan Feng, Xutao Li, Yunming Ye, Rui Ye
Fine-Tuning Graph Neural Networks via Graph Topology Induced Optimal Transport
Jiying Zhang, Xi Xiao, Long-Kai Huang, Yu Rong, Yatao Bian
Hierarchical Diffusion Scattering Graph Neural Network
Ke Zhang, Xinyan Pu, Jiaxing Li, Jiasong Wu, Huazhong Shu, Youyong Kong
Penalized Proximal Policy Optimization for Safe Reinforcement Learning
Linrui Zhang, Li Shen, Long Yang, Shixiang Chen, Xueqian Wang, Bo Yuan, Dacheng Tao
Next Point-of-Interest Recommendation with Inferring Multi-step Future Preferences
Lu Zhang, Zhu Sun, Ziqing Wu, Jie Zhang, Yew Soon Ong, Xinghua Qu
Het2Hom: Representation of Heterogeneous Attributes into Homogeneous Concept Spaces for Categorical-and-Numerical-Attribute Data Clustering
Yiqun Zhang, Yiu-ming Cheung, An Zeng
Learning Mixture of Neural Temporal Point Processes for Multi-dimensional Event Sequence Clustering
Yunhao Zhang, Junchi Yan, Xiaolu Zhang, Jun Zhou, Xiaokang Yang
Fusion Label Enhancement for Multi-Label Learning
Xingyu Zhao, Yuexuan An, Ning Xu, Xin Geng
Learning Mixtures of Random Utility Models with Features from Incomplete Preferences
Zhibing Zhao, Ao Liu, Lirong Xia
Unsupervised Voice-Face Representation Learning by Cross-Modal Prototype Contrast
Boqing Zhu, Kele Xu, Changjian Wang, Zheng Qin, Tao Sun, Huaimin Wang, Yuxing Peng
RoSA: A Robust Self-Aligned Framework for Node-Node Graph Contrastive Learning
Yun Zhu, Jianhao Guo, Fei Wu, Siliang Tang
Multi-Constraint Deep Reinforcement Learning for Smooth Action Control
Guangyuan Zou, Ying He, F. Richard Yu, Longquan Chen, Weike Pan, Zhong Ming
Multidisciplinary Topics and Applications
Subsequence-based Graph Routing Network for Capturing Multiple Risk Propagation Processes
Rui Cheng, Qing Li
3E-Solver: An Effortless, Easy-to-Update, and End-to-End Solver with Semi-Supervised Learning for Breaking Text-Based Captchas
Xianwen Deng, Ruijie Zhao, Yanhao Wang, Libo Chen, Yijun Wang, Zhi Xue
Placing Green Bridges Optimally, with Habitats Inducing Cycles
Maike Herkenrath, Till Fluschnik, Francesco Grothe, Leon Kellerhals
Membership Inference via Backdooring
Hongsheng Hu, Zoran Salčić, Gillian Dobbie, Jinjun Chen, Lichao Sun, Xuyun Zhang
A Universal PINNs Method for Solving Partial Differential Equations with a Point Source
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 Polynomial-time Decentralised Algorithm for Coordinated Management of Multiple Intersections
Tatsuya Iwase, Sebastian Stein, Enrico H. Gerding, Archie Chapman
Multi-Agent Reinforcement Learning for Traffic Signal Control through Universal Communication Method
Qize Jiang, Minhao Qin, Shengmin Shi, Weiwei Sun, Baihua Zheng
Cumulative Stay-time Representation for Electronic Health Records in Medical Event Time Prediction
Takayuki Katsuki, Kohei Miyaguchi, Akira Koseki, Toshiya Iwamori, Ryosuke Yanagiya, Atsushi Suzuki
Self-Supervised Learning with Attention-based Latent Signal Augmentation for Sleep Staging with Limited Labeled Data
Harim Lee, Eunseon Seong, Dong-Kyu Chae
Learning Curricula for Humans: An Empirical Study with Puzzles from The Witness
Levi H.S. Lelis, João G.G.V. Nova, Eugene Chen, Nathan R. Sturtevant, Carrie Demmans Epp, Michael Bowling
Transformer-based Objective-reinforced Generative Adversarial Network to Generate Desired Molecules
Chen Li, Chikashige Yamanaka, Kazuma Kaitoh, Yoshihiro Yamanishi
Towards Controlling the Transmission of Diseases: Continuous Exposure Discovery over Massive-Scale Moving Objects
Ke Li, Lisi Chen, Shuo Shang, Haiyan Wang, Yang Liu, Panos Kalnis, Bin Yao
Distilling Governing Laws and Source Input for Dynamical Systems from Videos
Lele Luan, Yang Liu, Hao Sun
Monolith to Microservices: Representing Application Software through Heterogeneous Graph Neural Network
Alex Mathai, Sambaran Bandyopadhyay, Utkarsh Desai, Srikanth Tamilselvam
Learn Continuously, Act Discretely: Hybrid Action-Space Reinforcement Learning For Optimal Execution
Feiyang Pan, Tongzhe Zhang, Ling Luo, Jia He, Shuoling Liu
Communicative Subgraph Representation Learning for Multi-Relational Inductive Drug-Gene Interaction Prediction
Jiahua Rao, Shuangjia Zheng, Sijie Mai, Yuedong Yang
FOGS: First-Order Gradient Supervision with Learning-based Graph for Traffic Flow Forecasting
Xuan Rao, Hao Wang, Liang Zhang, Jing Li, Shuo Shang, Peng Han
Offline Vehicle Routing Problem with Online Bookings: A Novel Problem Formulation with Applications to Paratransit
Amutheezan Sivagnanam, Salah Uddin Kadir, Ayan Mukhopadhyay, Philip Pugliese, Abhishek Dubey, Samitha Samaranayake, Aron Laszka
Local Differential Privacy Meets Computational Social Choice - Resilience under Voter Deletion
Liangde Tao, Lin Chen, Lei Xu, Weidong Shi
Private Stochastic Convex Optimization and Sparse Learning with Heavy-tailed Data Revisited
Youming Tao, Yulian Wu, Xiuzhen Cheng, Di Wang
Exploring the Vulnerability of Deep Reinforcement Learning-based Emergency Control for Low Carbon Power Systems
Xu Wan, Lanting Zeng, Mingyang Sun
Heterogeneous Interactive Snapshot Network for Review-Enhanced Stock Profiling and Recommendation
Heyuan Wang, Tengjiao Wang, Shun Li, Shijie Guan, Jiayi Zheng, Wei Chen
Adaptive Long-Short Pattern Transformer for Stock Investment Selection
Heyuan Wang, Tengjiao Wang, Shun Li, Jiayi Zheng, Shijie Guan, Wei Chen
Bridging the Gap between Reality and Ideality of Entity Matching: A Revisiting and Benchmark Re-Construction
Tianshu Wang, Hongyu Lin, Cheng Fu, Xianpei Han, Le Sun, Feiyu Xiong, Hui Chen, Minlong Lu, Xiuwen Zhu
Learnability of Competitive Threshold Models
Yifan Wang, Guangmo Tong
Data-Efficient Backdoor Attacks
Pengfei Xia, Ziqiang Li, Wei Zhang, Bin Li
TinyLight: Adaptive Traffic Signal Control on Devices with Extremely Limited Resources
Dong Xing, Qian Zheng, Qianhui Liu, Gang Pan
ARCANE: An Efficient Architecture for Exact Machine Unlearning
Haonan Yan, Xiaoguang Li, Ziyao Guo, Hui Li, Fenghua Li, Xiaodong Lin
A Smart Trader for Portfolio Management based on Normalizing Flows
Mengyuan Yang, Xiaolin Zheng, Qianqiao Liang, Bing Han, Mengying Zhu
Temporality Spatialization: A Scalable and Faithful Time-Travelling Visualization for Deep Classifier Training
Xianglin Yang, Yun Lin, Ruofan Liu, Jin Song Dong
Post-processing of Differentially Private Data: A Fairness Perspective
Keyu Zhu, Ferdinando Fioretto, Pascal Van Hentenryck
Enhancing Entity Representations with Prompt Learning for Biomedical Entity Linking
Tiantian Zhu, Yang Qin, Qingcai Chen, Baotian Hu, Yang Xiang
Natural Language Processing
Aspect-based Sentiment Analysis with Opinion Tree Generation
Xiaoyi Bao, Wang Zhongqing, Xiaotong Jiang, Rong Xiao, Shoushan Li
Speaker-Guided Encoder-Decoder Framework for Emotion Recognition in Conversation
Yinan Bao, Qianwen Ma, Lingwei Wei, Wei Zhou, Songlin Hu
Learning Meta Word Embeddings by Unsupervised Weighted Concatenation of Source Embeddings
Danushka Bollegala
PCVAE: Generating Prior Context for Dialogue Response Generation
Zefeng Cai, Zerui Cai
Towards Joint Intent Detection and Slot Filling via Higher-order Attention
Dongsheng Chen, Zhiqi Huang, Xian Wu, Shen Ge, Yuexian Zou
Effective Graph Context Representation for Document-level Machine Translation
Kehai Chen, Muyun Yang, Masao Utiyama, Eiichiro Sumita, Rui Wang, Min Zhang
DictBERT: Dictionary Description Knowledge Enhanced Language Model Pre-training via Contrastive Learning
Qianglong Chen, Feng-Lin Li, Guohai Xu, Ming Yan, Ji Zhang, Yin Zhang
Interpretable AMR-Based Question Decomposition for Multi-hop Question Answering
Zhenyun Deng, Yonghua Zhu, Yang Chen, Michael Witbrock, Patricia Riddle
Interactive Information Extraction by Semantic Information Graph
Siqi Fan, Yequan Wang, Jing Li, Zheng Zhang, Shuo Shang, Peng Han
Global Inference with Explicit Syntactic and Discourse Structures for Dialogue-Level Relation Extraction
Hao Fei, Jingye Li, Shengqiong Wu, Chenliang Li, Donghong Ji, Fei Li
Conversational Semantic Role Labeling with Predicate-Oriented Latent Graph
Hao Fei, Shengqiong Wu, Meishan Zhang, Yafeng Ren, Donghong Ji
Inheriting the Wisdom of Predecessors: A Multiplex Cascade Framework for Unified Aspect-based Sentiment Analysis
Hao Fei, Fei Li, Chenliang Li, Shengqiong Wu, Jingye Li, Donghong Ji
Logically Consistent Adversarial Attacks for Soft Theorem Provers
Alexander Gaskell, Yishu Miao, Francesca Toni, Lucia Specia
Leveraging the Wikipedia Graph for Evaluating Word Embeddings
Joachim Giesen, Paul Kahlmeyer, Frank Nussbaum, Sina Zarrieß
Fallacious Argument Classification in Political Debates
Pierpaolo Goffredo, Shohreh Haddadan, Vorakit Vorakitphan, Elena Cabrio, Serena Villata
Improving Few-Shot Text-to-SQL with Meta Self-Training via Column Specificity
Xinnan Guo, Yongrui Chen, Guilin Qi, Tianxing Wu, Hao Xu
FastDiff: A Fast Conditional Diffusion Model for High-Quality Speech Synthesis
Rongjie Huang, Max W. Y. Lam, Jun Wang, Dan Su, Dong Yu, Yi Ren, Zhou Zhao
MuiDial: Improving Dialogue Disentanglement with Intent-Based Mutual Learning
Ziyou Jiang, Lin Shi, Celia Chen, Fangwen Mu, Yumin Zhang, Qing Wang
AdMix: A Mixed Sample Data Augmentation Method for Neural Machine Translation
Chang Jin, Shigui Qiu, Nini Xiao, Hao Jia
Curriculum-Based Self-Training Makes Better Few-Shot Learners for Data-to-Text Generation
Pei Ke, Haozhe Ji, Zhenyu Yang, Yi Huang, Junlan Feng, Xiaoyan Zhu, Minlie Huang
Deexaggeration
Li Kong, Chuanyi Li, Vincent Ng
Taylor, Can You Hear Me Now? A Taylor-Unfolding Framework for Monaural Speech Enhancement
Andong Li, Shan You, Guochen Yu, Chengshi Zheng, Xiaodong Li
FastRE: Towards Fast Relation Extraction with Convolutional Encoder and Improved Cascade Binary Tagging Framework
Guozheng Li, Xu Chen, Peng Wang, Jiafeng Xie, Qiqing Luo
Neutral Utterances are Also Causes: Enhancing Conversational Causal Emotion Entailment with Social Commonsense Knowledge
Jiangnan Li, Fandong Meng, Zheng Lin, Rui Liu, Peng Fu, Yanan Cao, Weiping Wang, Jie Zhou
Domain-Adaptive Text Classification with Structured Knowledge from Unlabeled Data
Tian Li, Xiang Chen, Zhen Dong, Kurt Keutzer, Shanghang Zhang
Parameter-Efficient Sparsity for Large Language Models Fine-Tuning
Yuchao Li, Fuli Luo, Chuanqi Tan, Mengdi Wang, Songfang Huang, Shen Li, Junjie Bai
Explicit Alignment Learning for Neural Machine Translation
Zuchao Li, Hai Zhao, Fengshun Xiao, Masao Utiyama, Eiichiro Sumita
Lyra: A Benchmark for Turducken-Style Code Generation
Qingyuan Liang, Zeyu Sun, Qihao Zhu, Wenjie Zhang, Lian Yu, Yingfei Xiong, Lu Zhang
CUP: Curriculum Learning based Prompt Tuning for Implicit Event Argument Extraction
Jiaju Lin, Qin Chen, Jie Zhou, Jian Jin, Liang He
Low-Resource NER by Data Augmentation With Prompting
Jian Liu, Yufeng Chen, Jinan Xu
Generating a Structured Summary of Numerous Academic Papers: Dataset and Method
Shuaiqi LIU, Jiannong Cao, Ruosong Yang, Zhiyuan Wen
“My nose is running.” “Are you also coughing?”: Building A Medical Diagnosis Agent with Interpretable Inquiry Logics
Wenge Liu, Yi Cheng, Hao Wang, Jianheng Tang, Yafei Liu, Ruihui Zhao, Wenjie Li, Yefeng Zheng, Xiaodan Liang
Abstract Rule Learning for Paraphrase Generation
Xianggen Liu, Wenqiang Lei, Jiancheng Lv, Jizhe Zhou
Graph-based Dynamic Word Embeddings
Yuyin Lu, Xin Cheng, Ziran Liang, Yanghui Rao
Searching for Optimal Subword Tokenization in Cross-domain NER
Ruotian Ma, Yiding Tan, Xin Zhou, Xuanting Chen, Di Liang, Sirui Wang, Wei Wu, Tao Gui
Prompting to Distill: Boosting Data-Free Knowledge Distillation via Reinforced Prompt
Xinyin Ma, Xinchao Wang, Gongfan Fang, Yongliang Shen, Weiming Lu
Variational Learning for Unsupervised Knowledge Grounded Dialogs
Mayank Mishra, Dhiraj Madan, Gaurav Pandey, Danish Contractor
Enhancing Text Generation via Multi-Level Knowledge Aware Reasoning
Feiteng Mu, Wenjie Li
Automatic Noisy Label Correction for Fine-Grained Entity Typing
Weiran Pan, Wei Wei, Feida Zhu
Control Globally, Understand Locally: A Global-to-Local Hierarchical Graph Network for Emotional Support Conversation
Wei Peng, Yue Hu, Luxi Xing, Yuqiang Xie, Yajing Sun, Yunpeng Li
Document-level Relation Extraction via Subgraph Reasoning
Xingyu Peng, Chong Zhang, Ke Xu
Document-level Event Factuality Identification via Reinforced Multi-Granularity Hierarchical Attention Networks
Zhong Qian, Peifeng Li, Qiaoming Zhu, Guodong Zhou
BiFSMN: Binary Neural Network for Keyword Spotting
Haotong Qin, Xudong Ma, Yifu Ding, Xiaoyang Li, Yang Zhang, Yao Tian, Zejun Ma, Jie Luo, Xianglong Liu
Training Naturalized Semantic Parsers with Very Little Data
Subendhu Rongali, Konstantine Arkoudas, Melanie Rubino, Wael Hamza
Relational Triple Extraction: One Step is Enough
Yu-Ming Shang, Heyan Huang, Xin Sun, Wei Wei, Xian-Ling Mao
A Unified Strategy for Multilingual Grammatical Error Correction with Pre-trained Cross-Lingual Language Model
Xin Sun, Tao Ge, Shuming Ma, Jingjing Li, Furu Wei, Houfeng Wang
On Tracking Dialogue State by Inheriting Slot Values in Mentioned Slot Pools
Zhoujian Sun, Zhengxing Huang, Nai Ding
Towards Discourse-Aware Document-Level Neural Machine Translation
Xin Tan, Longyin Zhang, Fang Kong, Guodong Zhou
Learning by Interpreting
Xuting Tang, Abdul Rafae Khan, Shusen Wang, Jia Xu
Robust Fine-tuning via Perturbation and Interpolation from In-batch Instances
Shoujie Tong, Qingxiu Dong, Damai Dai, Yifan Song, Tianyu Liu, Baobao Chang, Zhifang Sui
MGAD: Learning Descriptional Representation Distilled from Distributional Semantics for Unseen Entities
Yuanzheng Wang, Xueqi Cheng, Yixing Fan, Xiaofei Zhu, Huasheng Liang, Qiang Yan, Jiafeng Guo
Unsupervised Context Aware Sentence Representation Pretraining for Multi-lingual Dense Retrieval
Ning Wu, Yaobo Liang, Houxing Ren, Linjun Shou, Nan Duan, Ming Gong, Daxin Jiang
Propose-and-Refine: A Two-Stage Set Prediction Network for Nested Named Entity Recognition
Shuhui Wu, Yongliang Shen, Zeqi Tan, Weiming Lu
Neural Subgraph Explorer: Reducing Noisy Information via Target-oriented Syntax Graph Pruning
Bowen Xing, Ivor Tsang
TaxoPrompt: A Prompt-based Generation Method with Taxonomic Context for Self-Supervised Taxonomy Expansion
Hongyuan Xu, Yunong Chen, Zichen Liu, Yanlong Wen, Xiaojie Yuan
Robust Interpretable Text Classification against Spurious Correlations Using AND-rules with Negation
Rohan Kumar Yadav, Lei Jiao, Ole-Christoffer Granmo, Morten Goodwin
Diversity Features Enhanced Prototypical Network for Few-shot Intent Detection
Fengyi Yang, Xi Zhou, Yi Wang, Abibulla Atawulla, Ran Bi
UM4: Unified Multilingual Multiple Teacher-Student Model for Zero-Resource Neural Machine Translation
Jian Yang, Yuwei Yin, Shuming Ma, Dongdong Zhang, Shuangzhi Wu, Hongcheng Guo, Zhoujun Li, Furu Wei
High-resource Language-specific Training for Multilingual Neural Machine Translation
Jian Yang, Yuwei Yin, Shuming Ma, Dongdong Zhang, Zhoujun Li, Furu Wei
SyntaSpeech: Syntax-Aware Generative Adversarial Text-to-Speech
Zhenhui Ye, Zhou Zhao, Yi Ren, Fei Wu
Clickbait Detection via Contrastive Variational Modelling of Text and Label
Xiaoyuan Yi, Jiarui Zhang, Wenhao Li, Xiting Wang, Xing Xie
Targeted Multimodal Sentiment Classification based on Coarse-to-Fine Grained Image-Target Matching
Jianfei Yu, Jieming Wang, Rui Xia, Junjie Li
Stage-wise Stylistic Headline Generation: Style Generation and Summarized Content Insertion
Jiaao Zhan, Yang Gao, Yu Bai, Qianhui Liu
Position-aware Joint Entity and Relation Extraction with Attention Mechanism
Chenglong Zhang, Shuyong Gao, Haofen Wang, Wenqiang Zhang
EditSinger: Zero-Shot Text-Based Singing Voice Editing System with Diverse Prosody Modeling
Lichao Zhang, Zhou Zhao, Yi Ren, Liqun Deng
“Think Before You Speak”: Improving Multi-Action Dialog Policy by Planning Single-Action Dialogs
Shuo Zhang, Junzhou Zhao, Pinghui Wang, Yu Li, Yi Huang, Junlan Feng
Charge Prediction by Constitutive Elements Matching of Crimes
Jie Zhao, Ziyu Guan, Cai Xu, Wei Zhao, Enze Chen
CauAIN: Causal Aware Interaction Network for Emotion Recognition in Conversations
Weixiang Zhao, Yanyan Zhao, Xin Lu
Reasoning over Hybrid Chain for Table-and-Text Open Domain Question Answering
Wanjun Zhong, Junjie Huang, Qian Liu, Ming Zhou, Jiahai Wang, Jian Yin, Nan Duan
None Class Ranking Loss for Document-Level Relation Extraction
Yang Zhou, Wee Sun Lee
Grape: Grammar-Preserving Rule Embedding
Qihao Zhu, Zeyu Sun, Wenjie Zhang, Yingfei Xiong, Lu Zhang
Efficient Document-level Event Extraction via Pseudo-Trigger-aware Pruned Complete Graph
Tong Zhu, Xiaoye Qu, Wenliang Chen, Zhefeng Wang, Baoxing Huai, Nicholas Yuan, Min Zhang
Contrastive Graph Transformer Network for Personality Detection
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