Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence


23-29 July 2022

Edited by Luc De Raedt

Sponsored by
International Joint Conferences on Artifical Intelligence (IJCAI)

Published by
International Joint Conferences on Artificial Intelligence

Copyright © 2022 International Joint Conferences on Artificial Intelligence
All rights reserved. No part of this book may be reproduced in any form by any electronic or mechanical means (including photocopying, recording, or information storage and retrieval) without permission in writing from the publisher.

IJCAI Secretary-Treasurer: Kristian Kersting, Computer Science Department, Technical University of Darmstadt, Hochschulstraße 10, D-64289 Darmstadt, Germany

IJCAI Executive Director - IJCAI Executive Secretary Ms. Vesna Sabljakovic-Fritz, Vienna University of Technology, Institute of Discrete Mathematics and Geometry, E104 Wiedner Hauptstr. 8-10, A-1040 Vienna, Austria

ISBN (Online): 978-1-956792-00-3


Donwnload preface here.


Main Track

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
AI Ethics, Trust, Fairness
Detecting Out-Of-Context Objects Using Graph Contextual Reasoning Network
Manoj Acharya, Anirban Roy, Kaushik Koneripalli, Susmit Jha, Christopher Kanan, Ajay Divakaran
Axiomatic Foundations of Explainability
Leila Amgoud, Jonathan Ben-Naim
On Preferred Abductive Explanations for Decision Trees and Random Forests
Gilles Audemard, Steve Bellart, Louenas Bounia, Frederic Koriche, Jean-Marie Lagniez, Pierre Marquis
Individual Fairness Guarantees for Neural Networks
Elias Benussi, Andrea Patane', Matthew Wicker, Luca Laurenti, Marta Kwiatkowska
How Does Frequency Bias Affect the Robustness of Neural Image Classifiers against Common Corruption and Adversarial Perturbations?
Alvin Chan, Yew Soon Ong, Clement Tan
Learn to Reverse DNNs from AI Programs Automatically
Simin Chen, Hamed Khanpour, Cong Liu, Wei Yang
CAT: Customized Adversarial Training for Improved Robustness
Minhao Cheng, Qi Lei, Pin-Yu Chen, Inderjit Dhillon, Cho-Jui Hsieh
PPT: Backdoor Attacks on Pre-trained Models via Poisoned Prompt Tuning
Wei Du, Yichun Zhao, Boqun Li, Gongshen Liu, Shilin Wang
SoFaiR: Single Shot Fair Representation Learning
Xavier Gitiaux, Huzefa Rangwala
Fairness without the Sensitive Attribute via Causal Variational Autoencoder
Vincent Grari, Sylvain Lamprier, Marcin Detyniecki
Taking Situation-Based Privacy Decisions: Privacy Assistants Working with Humans
Nadin Kökciyan, Pinar Yolum
Model Stealing Defense against Exploiting Information Leak through the Interpretation of Deep Neural Nets
Jeonghyun Lee, Sungmin Han, Sangkyun Lee
Investigating and Explaining the Frequency Bias in Image Classification
Zhiyu Lin, Yifei Gao, Jitao Sang
AttExplainer: Explain Transformer via Attention by Reinforcement Learning
Runliang Niu, Zhepei Wei, Yan Wang, Qi Wang
Counterfactual Interpolation Augmentation (CIA): A Unified Approach to Enhance Fairness and Explainability of DNN
Yao Qiang, Chengyin Li, Marco Brocanelli, Dongxiao Zhu
BayCon: Model-agnostic Bayesian Counterfactual Generator
Piotr Romashov, Martin Gjoreski, Kacper Sokol, Maria Vanina Martinez, Marc Langheinrich
What Does My GNN Really Capture? On Exploring Internal GNN Representations
Luca Veyrin-Forrer, Ataollah Kamal, Stefan Duffner, Marc Plantevit, Céline Robardet
Shielding Federated Learning: Robust Aggregation with Adaptive Client Selection
Wei Wan, Shengshan Hu, jianrong Lu, Leo Yu Zhang, Hai Jin, Yuanyuan He
Anti-Forgery: Towards a Stealthy and Robust DeepFake Disruption Attack via Adversarial Perceptual-aware Perturbations
Run Wang, Ziheng Huang, Zhikai Chen, Li Liu, Jing Chen, Lina Wang
Cluster Attack: Query-based Adversarial Attacks on Graph with Graph-Dependent Priors
Zhengyi Wang, Zhongkai Hao, Ziqiao Wang, Hang Su, Jun Zhu
MetaFinger: Fingerprinting the Deep Neural Networks with Meta-training
Kang Yang, Run Wang, Lina Wang
Approximately EFX Allocations for Indivisible Chores
Shengwei Zhou, Xiaowei Wu
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
Constraint Satisfaction and Optimization
A Solver + Gradient Descent Training Algorithm for Deep Neural Networks
Dhananjay Ashok, Vineel Nagisetty, Christopher Srinivasa, Vijay Ganesh
Fine-grained Complexity of Partial Minimum Satisfiability
Ivan Bliznets, Danil Sagunov, Kirill Simonov
QCDCL with Cube Learning or Pure Literal Elimination - What is Best?
Benjamin Böhm, Tomáš Peitl, Olaf Beyersdorff
Combining Constraint Solving and Bayesian Techniques for System Optimization
Franz Brauße, Zurab Khasidashvili, Konstantin Korovin
DPSampler: Exact Weighted Sampling Using Dynamic Programming
Jeffrey M. Dudek, Aditya A. Shrotri, Moshe Y. Vardi
A Multivariate Complexity Analysis of Qualitative Reasoning Problems
Leif Eriksson, Victor Lagerkvist
Accelerated Multiplicative Weights Update Avoids Saddle Points Almost Always
Yi Feng, Ioannis Panageas, Xiao Wang
Large Neighbourhood Search for Anytime MaxSAT Solving
Randy Hickey, Fahiem Bacchus
Online Matching with Controllable Rewards and Arrival Probabilities
Yuya Hikima, Yasunori Akagi, Naoki Marumo, Hideaki Kim
Encoding Probabilistic Graphical Models into Stochastic Boolean Satisfiability
Cheng-Han Hsieh, Jie-Hong R. Jiang
Degradation Accordant Plug-and-Play for Low-Rank Tensor Completion
Yexun Hu, Tai-Xiang Jiang, Xi-Le Zhao
Using Constraint Programming and Graph Representation Learning for Generating Interpretable Cloud Security Policies
Mikhail Kazdagli, Mohit Tiwari, Akshat Kumar
Best Heuristic Identification for Constraint Satisfaction
Frederic Koriche, Christophe Lecoutre, Anastasia Paparrizou, Hugues Wattez
AllSATCC: Boosting AllSAT Solving with Efficient Component Analysis
Jiaxin Liang, Feifei Ma, Junping Zhou, Minghao Yin
Automated Program Analysis: Revisiting Precondition Inference through Constraint Acquisition
Grégoire Menguy, Sébastien Bardin, Nadjib Lazaar, Arnaud Gotlieb
Threshold-free Pattern Mining Meets Multi-Objective Optimization: Application to Association Rules
Charles Vernerey, Samir Loudni, Noureddine Aribi, Yahia Lebbah
An Exact MaxSAT Algorithm: Further Observations and Further Improvements
Mingyu Xiao
Inverting 43-step MD4 via Cube-and-Conquer
Oleg Zaikin
BandMaxSAT: A Local Search MaxSAT Solver with Multi-armed Bandit
Jiongzhi Zheng, Kun He, Jianrong Zhou, Yan Jin, Chu-Min Li, Felip Manyà
A Strengthened Branch and Bound Algorithm for the Maximum Common (Connected) Subgraph Problem
Jianrong Zhou, Kun He, Jiongzhi Zheng, Chu-Min Li, Yanli 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
Humans and AI
On the Utility of Prediction Sets in Human-AI Teams
Varun Babbar, Umang Bhatt, Adrian Weller
Multi-Tier Platform for Cognizing Massive Electroencephalogram
Zheng Chen, Lingwei Zhu, Ziwei Yang, Renyuan Zhang
Multi-Level Firing with Spiking DS-ResNet: Enabling Better and Deeper Directly-Trained Spiking Neural Networks
Lang Feng, Qianhui Liu, Huajin Tang, De Ma, Gang Pan
Forming Effective Human-AI Teams: Building Machine Learning Models that Complement the Capabilities of Multiple Experts
Patrick Hemmer, Sebastian Schellhammer, Michael Vössing, Johannes Jakubik, Gerhard Satzger
Efficient and Accurate Conversion of Spiking Neural Network with Burst Spikes
Yang Li, Yi Zeng
Semi-Supervised Imitation Learning of Team Policies from Suboptimal Demonstrations
Sangwon Seo, Vaibhav V. Unhelkar
Signed Neuron with Memory: Towards Simple, Accurate and High-Efficient ANN-SNN Conversion
Yuchen Wang, Malu Zhang, Yi Chen, Hong Qu
Rethinking InfoNCE: How Many Negative Samples Do You Need?
Chuhan Wu, Fangzhao Wu, Yongfeng Huang
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 Revisting and Benchmark Re-Constrcution
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
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
Yangfu Zhu, Linmei Hu, Xinkai Ge, Wanrong Peng, Bin Wu
Planning and Scheduling
Explaining the Behaviour of Hybrid Systems with PDDL+ Planning
Diego Aineto, Eva Onaindia, Miquel Ramirez, Enrico Scala, Ivan Serina
Online Bin Packing with Predictions
Spyros Angelopoulos, Shahin Kamali, Kimia Shadkami
Scheduling with Untrusted Predictions
Evripidis Bampis, Konstantinos Dogeas, Alexander Kononov, Giorgio Lucarelli, Fanny Pascual
Adaptive Information Belief Space Planning
Moran Barenboim, Vadim Indelman
Tight Bounds for Hybrid Planning
Pascal Bercher, Songtuan Lin, Ron Alford
Planning with Qualitative Action-Trajectory Constraints in PDDL
Luigi Bonassi, Alfonso Emilio Gerevini, Enrico Scala
Shared Autonomy Systems with Stochastic Operator Models
Clarissa Costen, Marc Rigter, Bruno Lacerda, Nick Hawes
Explaining Soft-Goal Conflicts through Constraint Relaxations
Rebecca Eifler, Jeremy Frank, Jörg Hoffmann
Online Planning in POMDPs with Self-Improving Simulators
Jinke He, Miguel Suau, Hendrik Baier, Michael Kaisers, Frans A. Oliehoek
An Efficient Approach to Data Transfer Scheduling for Long Range Space Exploration
Emmanuel Hebrard, Christian Artigues, Pierre Lopez, Arnaud Lusson, Steve Chien, Adrien Maillard, Gregg Rabideau
General Optimization Framework for Recurrent Reachability Objectives
David Klaska, Antonin Kucera, Vit Musil, Vojtech Rehak
Offline Time-Independent Multi-Agent Path Planning
Keisuke Okumura, François Bonnet, Yasumasa Tamura, Xavier Défago
On the Computational Complexity of Model Reconciliations
Sarath Sreedharan, Pascal Bercher, Subbarao Kambhampati
Landmark Heuristics for Lifted Classical Planning
Julia Wichlacz, Daniel Höller, Jörg Hoffmann
Competitive Analysis for Multi-Commodity Ski-Rental Problem
Binghan Wu, Wei Bao, Dong Yuan, Bing Zhou
An Online Learning Approach towards Far-sighted Emergency Relief Planning under Intentional Attacks in Conflict Areas
Haoyu Yang, Kaiming Xiao, Lihua Liu, Hongbin Huang, Weiming Zhang
PG3: Policy-Guided Planning for Generalized Policy Generation
Ryan Yang, Tom Silver, Aidan Curtis, Tomas Lozano-Perez, Leslie Kaelbling
A Native Qualitative Numeric Planning Solver Based on AND/OR Graph Search
Hemeng Zeng, Yikun Liang, Yongmei Liu
Dynamic Car Dispatching and Pricing: Revenue and Fairness for Ridesharing Platforms
Zishuo Zhao, Xi Chen, Xuefeng Zhang, Yuan Zhou
Multi-robot Task Allocation in the Environment with Functional Tasks
Fuhan Yan, Kai Di
A Closed-Loop Perception, Decision-Making and Reasoning Mechanism for Human-Like Navigation
Wenqi Zhang, Kai Zhao, Peng Li, Xiao Zhu, Yongliang Shen, Yanna Ma, Yingfeng Chen, Weiming Lu
Robust Subset Selection by Greedy and Evolutionary Pareto Optimization
Chao Bian, Yawen Zhou, Chao Qian
Budgeted Sequence Submodular Maximization
Xuefeng Chen, Liang Feng, Xin Cao, Yifeng Zeng, Yaqing Hou
Learning and Exploiting Progress States in Greedy Best-First Search
Patrick Ferber, Liat Cohen, Jendrik Seipp, Thomas Keller
Completeness and Diversity in Depth-First Proof-Number Search with Applications to Retrosynthesis
Christopher Franz, Georg Mogk, Thomas Mrziglod, Kevin Schewior
Large Neighborhood Search with Decision Diagrams
Xavier Gillard, Pierre Schaus
Efficient Budgeted Graph Search
Jasmeet Kaur, Nathan R. Sturtevant
Generalisation of Alpha-Beta Search for AND-OR Graphs With Partially Ordered Values
Junkang Li, Bruno Zanuttini, Tristan Cazenave, Véronique Ventos
Efficient Neural Neighborhood Search for Pickup and Delivery Problems
Yining Ma, Jingwen Li, Zhiguang Cao, Wen Song, Hongliang Guo, Yuejiao Gong, Yeow Meng Chee
Real-Time Heuristic Search with LTLf Goals
Jaime Middleton, Rodrigo Toro Icarte, Jorge Baier
Reinforcement Learning for Cross-Domain Hyper-Heuristics
Florian Mischek, Nysret Musliu
Runtime Analysis of Single- and Multi-Objective Evolutionary Algorithms for Chance Constrained Optimization Problems with Normally Distributed Random Variables
Frank Neumann, Carsten Witt
Efficient Algorithms for Monotone Non-Submodular Maximization with Partition Matroid Constraint
Lan N. Nguyen, My T. Thai
Neural Network Pruning by Cooperative Coevolution
Haopu Shang, Jia-Liang Wu, Wenjing Hong, Chao Qian
HEA-D: A Hybrid Evolutionary Algorithm for Diversified Top-k Weight Clique Search Problem
Jun Wu, Chu-Min Li, Yupeng Zhou, Minghao Yin, Xin Xu, Dangdang Niu
A Weighting-Based Tabu Search Algorithm for the p-Next Center Problem
Qingyun Zhang, Zhouxing Su, Zhipeng Lü, Lingxiao Yang
Uncertainty in AI
Summary Markov Models for Event Sequences
Debarun Bhattacharjya, Saurabh Sihag, Oktie Hassanzadeh, Liza Bialik
Ancestral Instrument Method for Causal Inference without Complete Knowledge
Debo Cheng, Jiuyong Li, Lin Liu, Jiji Zhang, Thuc Duy Le, Jixue Liu
Empirical Bayesian Approaches for Robust Constraint-based Causal Discovery under Insufficient Data
Zijun Cui, Naiyu Yin, Yuru Wang, Qiang Ji
Hidden 1-Counter Markov Models and How to Learn Them
Mehmet Kurucan, Mete Özbaltan, Sven Schewe, Dominik Wojtczak
Exchangeability-Aware Sum-Product Networks
Stefan Lüdtke, Christian Bartelt, Heiner Stuckenschmidt
Learning Cluster Causal Diagrams: An Information-Theoretic Approach
Xueyan Niu, Xiaoyun Li, Ping Li
Linear Combinatorial Semi-Bandit with Causally Related Rewards
Behzad Nourani-Koliji, Saeed Ghoorchian, Setareh Maghsudi
Robustness Guarantees for Credal Bayesian Networks via Constraint Relaxation over Probabilistic Circuits
Hjalmar Wijk, Benjie Wang, Marta Kwiatkowska
On Attacking Out-Domain Uncertainty Estimation in Deep Neural Networks
Huimin Zeng, Zhenrui Yue, Yang Zhang, Ziyi Kou, Lanyu Shang, Dong Wang
DPVI: A Dynamic-Weight Particle-Based Variational Inference Framework
Chao Zhang, Zhijian Li, Xin Du, Hui Qian

Special Track on AI, the Arts and Creativity

Research Papers
Deep Interactive Surface Creation from 3D Sketch Strokes
Sukanya Bhattacharjee, Parag Chaudhuri
Tradformer: A Transformer Model of Traditional Music Transcriptions
Luca Casini, Bob L. T. Sturm
Sound2Synth: Interpreting Sound via FM Synthesizer Parameters Estimation
Zui Chen, Yansen Jing, Shengcheng Yuan, Yifei Xu, Jian Wu, Hang Zhao
Towards Creativity Characterization of Generative Models via Group-Based Subset Scanning
Celia Cintas, Payel Das, Brian Quanz, Girmaw Abebe Tadesse, Skyler Speakman, Pin-Yu Chen
Art Creation with Multi-Conditional StyleGANs
Konstantin Dobler, Florian Hübscher, Jan Westphal, Alejandro Sierra-Múnera, Gerard de Melo, Ralf Krestel
Threshold Designer Adaptation: Improved Adaptation for Designers in Co-creative Systems
Emily Halina, Matthew Guzdial
Automated Sifting of Stories from Simulated Storyworlds
Wilkins Leong, Julie Porteous, John Thangarajah
Universal Video Style Transfer via Crystallization, Separation, and Blending
Haofei Lu, Zhizhong Wang
StyleCLIPDraw: Coupling Content and Style in Text-to-Drawing Translation
Peter Schaldenbrand, Zhixuan Liu, Jean Oh
Dataset Augmentation in Papyrology with Generative Models: A Study of Synthetic Ancient Greek Character Images
Matthew I. Swindall, Timothy Player, Ben Keener, Alex C. Williams, James H. Brusuelas, Federica Nicolardi, Marzia D'Angelo, Claudio Vergara, Michael McOsker, John F. Wallin
DivSwapper: Towards Diversified Patch-based Arbitrary Style Transfer
Zhizhong Wang, Lei Zhao, Haibo Chen, Zhiwen Zuo, Ailin Li, Wei Xing, Dongming Lu
Music-to-Dance Generation with Optimal Transport
Shuang Wu, Shijian Lu, Li Cheng
Composition-aware Graphic Layout GAN for Visual-Textual Presentation Designs
Min Zhou, Chenchen Xu, Ye Ma, Tiezheng Ge, Yuning Jiang, Weiwei Xu
Style Fader Generative Adversarial Networks for Style Degree Controllable Artistic Style Transfer
Zhiwen Zuo, Lei Zhao, Shuobin Lian, Haibo Chen, Zhizhong Wang, Ailin Li, Wei Xing, Dongming Lu
Captioning Bosch: A Twitter Bot
Cornelia Ferner
High-Resolution and Arbitrary-Sized Chinese Landscape Painting Creation Based on Generative Adversarial Networks
Peixiang Luo, Jinchao Zhang, Jie Zhou
Learning to Generate Poetic Chinese Landscape Painting with Calligraphy
Shaozu Yuan, Aijun Dai, Zhiling Yan, Ruixue Liu, Meng Chen, Baoyang Chen, Zhijie Qiu, Xiaodong He

Special Track on AI for Good

Research Papers
Learning Pollution Maps from Mobile Phone Images
Ankit Bhardwaj, Shiva Iyer, Yash Jalan, Lakshminarayanan Subramanian
Deciphering Environmental Air Pollution with Large Scale City Data
Mayukh Bhattacharyya, Sayan Nag, Udita Ghosh
Chronic Disease Management with Personalized Lab Test Response Prediction
Suman Bhoi, Mong Li Lee, Wynne Hsu, Hao Sen Andrew Fang, Ngiap Chuan Tan
AggPose: Deep Aggregation Vision Transformer for Infant Pose Estimation
Xu Cao, Xiaoye Li, Liya Ma, Yi Huang, Xuan Feng, Zening Chen, Hongwu Zeng, Jianguo Cao
Forecasting Patient Outcomes in Kidney Exchange
Naveen Durvasula, Aravind Srinivasan, John Dickerson
A Murder and Protests, the Capitol Riot, and the Chauvin Trial: Estimating Disparate News Media Stance
Sujan Dutta, Beibei Li, Daniel S. Nagin, Ashiqur R. KhudaBukhsh
Monitoring Vegetation From Space at Extremely Fine Resolutions via Coarsely-Supervised Smooth U-Net
Joshua Fan, Di Chen, Jiaming Wen, Ying Sun, Carla Gomes
Am I No Good? Towards Detecting Perceived Burdensomeness and Thwarted Belongingness from Suicide Notes
Soumitra Ghosh, Asif Ekbal, Pushpak Bhattacharyya
AI Facilitated Isolations? The Impact of Recommendation-based Influence Diffusion in Human Society
Yuxuan Hu, Shiqing Wu, Chenting Jiang, Weihua Li, Quan Bai, Erin Roehrer
Crowd, Expert & AI: A Human-AI Interactive Approach Towards Natural Language Explanation Based COVID-19 Misinformation Detection
Ziyi Kou, Lanyu Shang, Yang Zhang, Zhenrui Yue, Huimin Zeng, Dong Wang
Towards the Quantitative Interpretability Analysis of Citizens Happiness Prediction
Lin Li, Xiaohua Wu, Miao Kong, Dong Zhou, Xiaohui Tao
S2SNet: A Pretrained Neural Network for Superconductivity Discovery
Ke Liu, Kaifan Yang, Jiahong Zhang, Renjun Xu
Creating Dynamic Checklists via Bayesian Case-Based Reasoning: Towards Decent Working Conditions for All
Eirik Lund Flogard, Ole Jakob Mengshoel, Kerstin Bach
A Reliability-aware Distributed Framework to Schedule Residential Charging of Electric Vehicles
Rounak Meyur, Swapna Thorve, Madhav Marathe, Anil Vullikanti, Samarth Swarup, Henning Mortveit
Gigs with Guarantees: Achieving Fair Wage for Food Delivery Workers
Ashish Nair, Rahul Yadav, Anjali Gupta, Abhijnan Chakraborty, Sayan Ranu, Amitabha Bagchi
ADVISER: AI-Driven Vaccination Intervention Optimiser for Increasing Vaccine Uptake in Nigeria
Vineet Nair, Kritika Prakash, Michael Wilbur, Aparna Taneja, Corrine Namblard, Oyindamola Adeyemo, Abhishek Dubey, Abiodun Adereni, Milind Tambe, Ayan Mukhopadhyay
Ownership Concentration and Wealth Inequality in Russia
Kirill Polovnikov, Nikita Pospelov, Dmitriy Skougarevskiy
DiRe Committee : Diversity and Representation Constraints in Multiwinner Elections
Kunal Relia
AgriBERT: Knowledge-Infused Agricultural Language Models for Matching Food and Nutrition
Saed Rezayi, Zhengliang Liu, Zihao Wu, Chandra Dhakal, Bao Ge, Chen Zhen, Tianming Liu, Sheng Li
CounterGeDi: A Controllable Approach to Generate Polite, Detoxified and Emotional Counterspeech
Punyajoy Saha, Kanishk Singh, Adarsh Kumar, Binny Mathew, Animesh Mukherjee
Scalable and Memory-Efficient Algorithms for Controlling Networked Epidemic Processes Using Multiplicative Weights Update Method
Prathyush Sambaturu, Marco Minutoli, Mahantesh Halappanavar, Ananth Kalyanaraman, Anil Vullikanti
Revealing the Excitation Causality between Climate and Political Violence via a Neural Forward-Intensity Poisson Process
Schyler C. Sun, Bailu Jin, Zhuangkun Wei, Weisi Guo
Forecasting the Number of Tenants At-Risk of Formal Eviction: A Machine Learning Approach to Inform Public Policy
Maryam Tabar, Wooyong Jung, Amulya Yadav, Owen Wilson Chavez, Ashley Flores, Dongwon Lee
Dynamic Structure Learning through Graph Neural Network for Forecasting Soil Moisture in Precision Agriculture
Anoushka Vyas, Sambaran Bandyopadhyay
Quantifying Health Inequalities Induced by Data and AI Models
Honghan Wu, Aneeta Sylolypavan, Minhong Wang, Sarah Wild
Sequential Vaccine Allocation with Delayed Feedback
Yichen Xiao, Han-Ching Ou, Haipeng Chen, Van Thieu Nguyen, Long Tran-Thanh
Ranked Prioritization of Groups in Combinatorial Bandit Allocation
Lily Xu, Arpita Biswas, Fei Fang, Milind Tambe
Conversational Inequality Through the Lens of Political Interruption
Clay H. Yoo, Jiachen Wang, Yuxi Luo, Kunal Khadilkar, Ashiqur R. KhudaBukhsh
Psychiatric Scale Guided Risky Post Screening for Early Detection of Depression
Zhiling Zhang, Siyuan Chen, Mengyue Wu, Kenny Q. Zhu
A norm optimisation approach to SDGs: tackling poverty by acting on discrimination
Georgina Curto, Nieves Montes, Carles Sierra, Nardine Osman, Flavio Comim
Interactive concept-map based summaries for SEND children
Martina Galletti, Michael Anslow, Francesca Bianchi, Manuela Calanca, Donatella Tomaiuoli, Remi Van Trijp, Diletta Vedovelli, Eleonora Pasqua
Argo: Towards Small Vessel Detection for Humanitarian Purposes
Elisabeth Moser, Selina Meyer, Maximilian Schmidhuber, Daniel Ketterer, Matthias Eberhardt
Climate Bot: A Machine Reading Comprehension System for Climate Change Question Answering
Md Rashad Al Hasan Rony, Ying Zuo, Liubov Kovriguina, Roman Teucher, Jens Lehmann

Sister Conferences Best Papers

On the Expressivity of Markov Reward (Extended Abstract)
David Abel, Will Dabney, Anna Harutyunyan, Mark K. Ho, Michael L. Littman, Doina Precup, Satinder Singh
Improving Inductive Link Prediction Using Hyper-Relational Facts (Extended Abstract)
Mehdi Ali, Max Berrendorf, Mikhail Galkin, Veronika Thost, Tengfei Ma, Volker Tresp, Jens Lehmann
Utilizing Treewidth for Quantitative Reasoning on Epistemic Logic Programs (Extended Abstract)
Viktor Besin, Markus Hecher, Stefan Woltran
Capturing Homomorphism-Closed Decidable Queries with Existential Rules (Extended Abstract)
Camille Bourgaux, David Carral, Markus Krötzsch, Sebastian Rudolph, Michaël Thomazo
Deep Cooperation of CDCL and Local Search for SAT (Extended Abstract)
Shaowei Cai, Xindi Zhang
Scalable Anytime Planning for Multi-Agent MDPs (Extended Abstract)
Shushman Choudhury, Jayesh K. Gupta, Mykel J. Kochenderfer
Measuring Data Leakage in Machine-Learning Models with Fisher Information (Extended Abstract)
Awni Hannun, Chuan Guo, Laurens van der Maaten
Allocating Opportunities in a Dynamic Model of Intergenerational Mobility (Extended Abstract)
Hoda Heidari, Jon Kleinberg
Homeomorphic-Invariance of EM: Non-Asymptotic Convergence in KL Divergence for Exponential Families via Mirror Descent (Extended Abstract)
Frederik Kunstner, Raunak Kumar, Mark Schmidt
Combining Clause Learning and Branch and Bound for MaxSAT (Extended Abstract)
Chu-Min Li, Zhenxing Xu, Jordi Coll, Felip Manyà, Djamal Habet, Kun He
Open Data Science to Fight COVID-19: Winning the 500k XPRIZE Pandemic Response Challenge (Extended Abstract)
Miguel Angel Lozano, Òscar Garibo-i-Orts, Eloy Piñol, Miguel Rebollo, Kristina Polotskaya, Miguel Ángel García-March, J. Alberto Conejero, Francisco Escolano, Nuria Oliver
Complex Query Answering with Neural Link Predictors (Extended Abstract)*
Pasquale Minervini, Erik Arakelyan, Daniel Daza, Michael Cochez
Detect, Understand, Act: A Neuro-Symbolic Hierarchical Reinforcement Learning Framework (Extended Abstract)
Ludovico Mitchener, David Tuckey, Matthew Crosby, Alessandra Russo
Computationally Efficient Optimization of Plackett-Luce Ranking Models for Relevance and Fairness (Extended Abstract)
Harrie Oosterhuis
Logic Rules Meet Deep Learning: A Novel Approach for Ship Type Classification (Extended Abstract)
Manolis Pitsikalis, Thanh-Toan Do, Alexei Lisitsa, Shan Luo
Asymmetric Hybrids: Dialogues for Computational Concept Combination (Extended Abstract)
Guendalina Righetti, Daniele Porello, Nicolas Troquard, Oliver Kutz, Maria Hedblom, Pietro Galliani
Computing Programs for Generalized Planning as Heuristic Search (Extended Abstract)
Javier Segovia-Aguas, Sergio Jiménez Celorrio, Anders Jonsson
Towards Facilitating Empathic Conversations in Online Mental Health Support: A Reinforcement Learning Approach (Extended Abstract)
Ashish Sharma, Inna W. Lin, Adam S. Miner, Dave C. Atkins, Tim Althoff
ProtoAI: Model-Informed Prototyping for AI-Powered Interfaces (Extended Abstract)
Hariharan Subramonyam, Colleen Seifert, Eytan Adar
Black-box Audit of YouTube's Video Recommendation: Investigation of Misinformation Filter Bubble Dynamics (Extended Abstract)
Matus Tomlein, Branislav Pecher, Jakub Simko, Ivan Srba, Robert Moro, Elena Stefancova, Michal Kompan, Andrea Hrckova, Juraj Podrouzek, Maria Bielikova
Unbiased Gradient Estimation in Unrolled Computation Graphs with Persistent Evolution Strategies (Extended Abstract)
Paul Vicol, Luke Metz, Jascha Sohl-Dickstein
The Min-Max Complexity of Distributed Stochastic Convex Optimization with Intermittent Communication (Extended Abstract)
Blake Woodworth, Brian Bullins, Ohad Shamir, Nathan Srebro
Statistically-Guided Deep Network Transformation to Harness Heterogeneity in Space (Extended Abstract)
Yiqun Xie, Erhu He, Xiaowei Jia, Han Bao, Xun Zhou, Rahul Ghosh, Praveen Ravirathinam
Including Signed Languages in Natural Language Processing (Extended Abstract)
Kayo Yin, Malihe Alikhani
Learning Discrete Representations via Constrained Clustering for Effective and Efficient Dense Retrieval (Extended Abstract)
Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Jiafeng Guo, Min Zhang, Shaoping Ma
Rx-refill Graph Neural Network to Reduce Drug Overprescribing Risks (Extended Abstract)
Jianfei Zhang, Ai-Te Kuo, Jianan Zhao, Qianlong Wen, Erin Winstanley, Chuxu Zhang, Yanfang Ye

Survey Track

Fair Division of Indivisible Goods: A Survey
Georgios Amanatidis, Georgios Birmpas, Aris Filos-Ratsikas, Alexandros A. Voudouris
Text Transformations in Contrastive Self-Supervised Learning: A Review
Amrita Bhattacharjee, Mansooreh Karami, Huan Liu
A Survey on Word Meta-Embedding Learning
Danushka Bollegala, James O' Neill
Image-text Retrieval: A Survey on Recent Research and Development
Min Cao, Shiping Li, Juntao Li, Liqiang Nie, Min Zhang
Evidential Reasoning and Learning: a Survey
Federico Cerutti, Lance M. Kaplan, Murat Şensoy
Table Pre-training: A Survey on Model Architectures, Pre-training Objectives, and Downstream Tasks
Haoyu Dong, Zhoujun Cheng, Xinyi He, Mengyu Zhou, Anda Zhou, Fan Zhou, Ao Liu, Shi Han, Dongmei Zhang
A Survey of Vision-Language Pre-Trained Models
Yifan Du, Zikang Liu, Junyi Li, Wayne Xin Zhao
A Survey on Machine Learning Approaches for Modelling Intuitive Physics
Jiafei Duan, Arijit Dasgupta, Jason Fischer, Cheston Tan
A Survey on Dialogue Summarization: Recent Advances and New Frontiers
Xiachong Feng, Xiaocheng Feng, Bing Qin
Legal Judgment Prediction: A Survey of the State of the Art
Yi Feng, Chuanyi Li, Vincent Ng
Differential Privacy and Fairness in Decisions and Learning Tasks: A Survey
Ferdinando Fioretto, Cuong Tran, Pascal Van Hentenryck, Keyu Zhu
Deep Learning with Logical Constraints
Eleonora Giunchiglia, Mihaela Catalina Stoian, Thomas Lukasiewicz
Who Says What to Whom: A Survey of Multi-Party Conversations
Jia-Chen Gu, Chongyang Tao, Zhen-Hua Ling
Survey on Efficient Training of Large Neural Networks
Julia Gusak, Daria Cherniuk, Alena Shilova, Alexandr Katrutsa, Daniel Bershatsky, Xunyi Zhao, Lionel Eyraud-Dubois, Oleh Shliazhko, Denis Dimitrov, Ivan Oseledets, Olivier Beaumont
Goal-Conditioned Reinforcement Learning: Problems and Solutions
Minghuan Liu, Menghui Zhu, Weinan Zhang
Neural Re-ranking in Multi-stage Recommender Systems: A Review
Weiwen Liu, Yunjia Xi, Jiarui Qin, Fei Sun, Bo Chen, Weinan Zhang, Rui Zhang, Ruiming Tang
Survey on Graph Neural Network Acceleration: An Algorithmic Perspective
Xin Liu, Mingyu Yan, Lei Deng, Guoqi Li, Xiaochun Ye, Dongrui Fan, Shirui Pan, Yuan Xie
Vision-and-Language Pretrained Models: A Survey
Siqu Long, Feiqi Cao, Soyeon Caren Han, Haiqin Yang
Predictive Coding: Towards a Future of Deep Learning beyond Backpropagation?
Beren Millidge, Tommaso Salvatori, Yuhang Song, Rafal Bogacz, Thomas Lukasiewicz
Deep Learning Meets Software Engineering: A Survey on Pre-Trained Models of Source Code
Changan Niu, Chuanyi Li, Bin Luo, Vincent Ng
Evaluation Methods for Representation Learning: A Survey
Kento Nozawa, Issei Sato
A Unified View of Relational Deep Learning for Drug Pair Scoring
Benedek Rozemberczki, Stephen Bonner, Andriy Nikolov, Michaël Ughetto, Sebastian Nilsson, Eliseo Papa
The Shapley Value in Machine Learning
Benedek Rozemberczki, Lauren Watson, Péter Bayer, Hao-Tsung Yang, Olivér Kiss, Sebastian Nilsson, Rik Sarkar
A Survey of Machine Narrative Reading Comprehension Assessments
Yisi Sang, Xiangyang Mou, Jing Li, Jeffrey Stanton, Mo Yu
Abstraction for Deep Reinforcement Learning
Murray Shanahan, Melanie Mitchell
Detecting and Understanding Harmful Memes: A Survey
Shivam Sharma, Firoj Alam, Md. Shad Akhtar, Dimitar Dimitrov, Giovanni Da San Martino, Hamed Firooz, Alon Halevy, Fabrizio Silvestri, Preslav Nakov, Tanmoy Chakraborty
Data Valuation in Machine Learning: "Ingredients", Strategies, and Open Challenges
Rachael Hwee Ling Sim, Xinyi Xu, Bryan Kian Hsiang Low
Problem Compilation for Multi-Agent Path Finding: a Survey
Pavel Surynek
A Survey of Risk-Aware Multi-Armed Bandits
Vincent Y. F. Tan, Prashanth L.A., Krishna Jagannathan
Vision-based Intention and Trajectory Prediction in Autonomous Vehicles: A Survey
Izzeddin Teeti, Salman Khan, Ajmal Shahbaz, Andrew Bradley, Fabio Cuzzolin
Recent Advances on Neural Network Pruning at Initialization
Huan Wang, Can Qin, Yue Bai, Yulun Zhang, Yun Fu
On the Opportunity of Causal Learning in Recommendation Systems: Foundation, Estimation, Prediction and Challenges
Peng Wu, Haoxuan Li, Yuhao Deng, Wenjie Hu, Quanyu Dai, Zhenhua Dong, Jie Sun, Rui Zhang, Xiao-Hua Zhou
Recent Advances in Concept Drift Adaptation Methods for Deep Learning
Liheng Yuan, Heng Li, Beihao Xia, Cuiying Gao, Mingyue Liu, Wei Yuan, Xinge You
Few-Shot Learning on Graphs
Chuxu Zhang, Kaize Ding, Jundong Li, Xiangliang Zhang, Yanfang Ye, Nitesh V. Chawla, Huan Liu
Recent Advances and New Frontiers in Spiking Neural Networks
Duzhen Zhang, Tielin Zhang, Shuncheng Jia, Qingyu Wang, Bo Xu
A Survey on Gradient Inversion: Attacks, Defenses and Future Directions
Rui Zhang, Song Guo, Junxiao Wang, Xin Xie, Dacheng Tao
Towards Verifiable Federated Learning
Yanci Zhang, Han Yu
A Survey on Neural Open Information Extraction: Current Status and Future Directions
Shaowen Zhou, Bowen Yu, Aixin Sun, Cheng Long, Jingyang Li, Jian Sun

Journal Track

On the First-Order Rewritability of Ontology-Mediated Queries in Linear Temporal Logic (Extended Abstract)
Alessandro Artale, Roman Kontchakov, Alisa Kovtunova, Vladislav Ryzhikov, Frank Wolter, Michael Zakharyaschev
Bayesian Auctions with Efficient Queries (Extended Abstract)
Jing Chen, Bo Li, Yingkai Li, Pinyan Lu
Overlapping Communities and Roles in Networks with Node Attributes: Probabilistic Graphical Modeling, Bayesian Formulation and Variational Inference (Extended Abstract)
Gianni Costa, Riccardo Ortale
On Quantifying Literals in Boolean Logic and its Applications to Explainable AI (Extended Abstract)
Adnan Darwiche, Pierre Marquis
Situation Calculus for Controller Synthesis in Manufacturing Systems with First-Order State Representation (Extended Abstract)
Giuseppe De Giacomo, Paolo Felli, Brian Logan, Fabio Patrizi, Sebastian Sardiña
Making Sense of Raw Input (Extended Abstract)
Richard Evans, Matko Bošnjak, Lars Buesing, Kevin Ellis, David Pfau, Pushmeet Kohli, Marek Sergot
Abstraction in Data-Sparse Task Transfer (Extended Abstract)
Tesca Fitzgerald, Ashok Goel, Andrea Thomaz
Experimental Comparison and Survey of Twelve Time Series Anomaly Detection Algorithms (Extended Abstract)
Cynthia Freeman, Jonathan Merriman, Ian Beaver, Abdullah Mueen
Dimensional Inconsistency Measures and Postulates in Spatio-Temporal Databases (Extended Abstract)
John Grant, Maria Vanina Martinez, Cristian Molinaro, Francesco Parisi
Local and Global Explanations of Agent Behavior: Integrating Strategy Summaries with Saliency Maps (Extended Abstract)
Tobias Huber, Katharina Weitz, Elisabeth André, Ofra Amir
sunny-as2: Enhancing SUNNY for Algorithm Selection (Extended Abstract)
Tong Liu, Roberto Amadini, Maurizio Gabbrielli, Jacopo Mauro
Intelligence in Strategic Games (Extended Abstract)
Pavel Naumov, Yuan Yuan
Learning Realistic Patterns from Visually Unrealistic Stimuli: Generalization and Data Anonymization (Extended Abstract)
Konstantinos Nikolaidis, Stein Kristiansen, Thomas Plagemann, Vera Goebel, Knut Liestøl, Mohan Kankanhalli, Gunn-Marit Traaen, Britt Øverland, Harriet Akre, Lars Aakeroy, Sigurd Steinshamn
Abstraction for Non-Ground Answer Set Programs (Extended Abstract)
Zeynep G. Saribatur, Thomas Eiter, Peter Schüller
A Theoretical Perspective on Hyperdimensional Computing (Extended Abstract)
Anthony Thomas, Sanjoy Dasgupta, Tajana Rosing
Measuring the Occupational Impact of AI: Tasks, Cognitive Abilities and AI Benchmarks (Extended Abstract)*
Songül Tolan, Annarosa Pesole, Fernando Martínez-Plumed, Enrique Fernández-Macías, José Hernández-Orallo, Emilia Gómez
Why Bad Coffee? Explaining BDI Agent Behaviour with Valuings (Extended Abstract)
Michael Winikoff, Galina Sidorenko, Virginia Dignum, Frank Dignum
Ethics and Governance of Artificial Intelligence: A Survey of Machine Learning Researchers (Extended Abstract)
Baobao Zhang, Markus Anderljung, Lauren Kahn, Noemi Dreksler, Michael C. Horowitz, Allan Dafoe
Improving the Effectiveness and Efficiency of Stochastic Neighbour Embedding with Isolation Kernel (Extended Abstract)
Ye Zhu, Kai Ming Ting

Early Career

Irrational, but Adaptive and Goal Oriented: Humans Interacting with Autonomous Agents
Amos Azaria
Analyzing and Designing Strategic Environments in Social Domains
Hau Chan
Integrating Machine Learning and Optimization to Boost Decision Making
Ferdinando Fioretto
Interaction and Expressivity in Collective Decision-Making
Umberto Grandi
Counting, Sampling, and Synthesis: The Quest for Scalability
Kuldeep S. Meel
Controllable Text Generation for Open-Domain Creativity and Fairness
Nanyun (Violet) Peng
Towards Theoretically Grounded Evolutionary Learning
Chao Qian
Mechanism Design Powered by Social Interactions: A Call to Arms
Dengji Zhao

Doctoral Consortium

Towards New Optimized Artificial Immune Recognition Systems under the Belief Function Theory
Rihab Abdelkhalek
Extending Decision Tree to Handle Multiple Fairness Criteria
Alessandro Castelnovo
Dynamic Bandits with Temporal Structure
Qinyi Chen
Hybrid Learning System for Large-scale Medical Image Analysis
Zehua Cheng, Lianlong Wu
KRAKEN: A Novel Semantic-Based Approach for Keyphrases Extraction
Simone D'Amico
Building a Visual Semantics Aware Object Hierarchy
Xiaolei Diao
Decomposition Methods for Solving Scheduling Problem Using Answer Set Programming
Mohammed M. S. El-Kholany
Decentralized Autonomous Organizations and Multi-agent Systems for Artificial Intelligence Applications and Data Analysis
Sante Dino Facchini
A Unified Framework for Intrinsic Evaluation of Word-Embedding Algorithms
Anna Giabelli
Early Diagnosis of Lyme Disease by Recognizing Erythema Migrans Skin Lesion from Images Utilizing Deep Learning Techniques
Sk Imran Hossain
Scalable ML Methods to Optimize KPIs in Real-World Manufacturing Processes
Benjamin Kovács
Equilibria in Strategic Nominee Selection
Grzegorz Lisowski
Engineering Socially-Oriented Autonomous Agents and Multiagent Systems
Nieves Montes
Application of Neurosymbolic AI to Sequential Decision Making
Carlos Núñez-Molina
Multivariate Times Series Classification Using Multichannel CNN
YongKyung Oh
Anchors Selection for Cross-lingual Embedding Alignment through Time
Filippo Pallucchini
Transferability and Stability of Learning with Limited Labelled Data in Multilingual Text Document Classification
Branislav Pecher
Towards Contextually Sensitive Analysis of Memes: Meme Genealogy and Knowledge Base
Victoria Sherratt
Data-Efficient Algorithms and Neural Natural Language Processing: Applications in the Healthcare Domain
Heereen Shim
A Model-Oriented Approach for Lifting Symmetry-Breaking Constraints in Answer Set Programming
Alice Tarzariol
Adaptive Artificial Intelligence Scheduling Methods for Large-Scale, Stochastic, Industrial Applications
Pierre Tassel
Information Injection to Deep Learning Solutions in Knowledge Transfer
Paulina Tomaszewska
Automatic Multimodal Emotion Recognition Using Facial Expression, Voice, and Text
Hélène Tran
Anomaly Explanation
Véronne Yepmo
Diffusion Incentives in Cooperative Games
Yao Zhang

Demo Track

Together about Dementia
Nicklas Sindlev Andersen, Marco Chiarandini
Displaying Justifications for Collective Decisions
Arthur Boixel, Ulle Endriss, Oliviero Nardi
Itero: An Online Iterative Voting Application
Joseph Boudou, Rachael Colley, Umberto Grandi
Interactive Reinforcement Learning for Symbolic Regression from Multi-Format Human-Preference Feedbacks
Laure Crochepierre, Lydia Boudjeloud-Assala, Vincent Barbesant
Knowledge-Based News Event Analysis and Forecasting Toolkit
Oktie Hassanzadeh, Parul Awasthy, Ken Barker, Onkar Bhardwaj, Debarun Bhattacharjya, Mark Feblowitz, Lee Martie, Jian Ni, Kavitha Srinivas, Lucy Yip
CARBEN: Composite Adversarial Robustness Benchmark
Lei Hsiung, Yun-Yun Tsai, Pin-Yu Chen, Tsung-Yi Ho
A Speech-driven Sign Language Avatar Animation System for Hearing Impaired Applications
Li Hu, Jiahui Li, Jiashuo Zhang, Qi Wang, Bang Zhang, Ping Tan
ExplainIt!: A Tool for Computing Robust Attributions of DNNs
Sumit Jha, Alvaro Velasquez, Rickard Ewetz, Laura Pullum, Susmit Jha
PillGood: Automated and Interactive Pill Dispenser Using Facial Recognition for Safe and Personalized Medication
Jonghyeok Kim, Hosung Kwon, Jonghyeon Kim, Jinsoo Park, Soong-Un Choi, Sookyung Kim
Sign-to-Speech Model for Sign Language Understanding: A Case Study of Nigerian Sign Language
Steven Kolawole, Opeyemi Osakuade, Nayan Saxena, Babatunde Kazeem Olorisade
Real-Time Portrait Stylization on the Edge
Yanyu Li, Xuan Shen, Geng Yuan, Jiexiong Guan, Wei Niu, Hao Tang, Bin Ren, Yanzhi Wang
AMICA: An Argumentative Search Engine for COVID-19 Literature
Marco Lippi, Francesco Antici, Gianfranco Brambilla, Evaristo Cisbani, Andrea Galassi, Daniele Giansanti, Fabio Magurano, Antonella Rosi, Federico Ruggeri, Paolo Torroni
The Good, the Bad, and the Explainer: A Tool for Contrastive Explanations of Text Classifiers
Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, Navid Nobani, Andrea Seveso
ACTA 2.0: A Modular Architecture for Multi-Layer Argumentative Analysis of Clinical Trials
Benjamin Molinet, Santiago Marro, Elena Cabrio, Serena Villata, Tobias Mayer
VMAgent: A Practical Virtual Machine Scheduling Platform
Junjie Sheng, Shengliang Cai, Haochuan Cui, Wenhao Li, Yun Hua, Bo Jin, Wenli Zhou, Yiqiu Hu, Lei Zhu, Qian Peng, Hongyuan Zha, Xiangfeng Wang
Fine-tuning Deep Neural Networks by Interactively Refining the 2D Latent Space of Ambiguous Images
Jiafu Wei, Haoran Xie, Chia-Ming Chang, Xi Yang
AutoVideo: An Automated Video Action Recognition System
Daochen Zha, Zaid Pervaiz Bhat, Yi-Wei Chen, Yicheng Wang, Sirui Ding, Jiaben Chen, Kwei-Herng Lai, Mohammad Qazim Bhat, Anmoll Kumar Jain, Alfredo Costilla Reyes, Na Zou, Xia Hu
Text/Speech-Driven Full-Body Animation
Wenlin Zhuang, Jinwei Qi, Peng Zhang, Bang Zhang, Ping Tan