List of accepted papers for the Main Track
#15 The Successful Ingredients of Policy Gradient Algorithms
Sven Gronauer, Martin Gottwald, Klaus Diepold
#16 Learn the Highest Label and Rest Label Description Degrees
Jing Wang, Xin Geng
#21 k-Nearest Neighbors by Means of Sequence to Sequence Deep Neural Networks and Memory Networks
Yiming Xu, Diego Klabjan
#24 Electrocardio Panorama: Synthesizing New ECG views with Self-supervision
Jintai Chen, Xiangshang Zheng, Hongyun Yu, Danny Z. Chen, Jian Wu
#44 Accomplice Manipulation of the Deferred Acceptance Algorithm
Hadi Hosseini, Fatima Umar, Rohit Vaish
#50 Budget-Constrained Coalition Strategies with Discounting
Lia Bozzone, Pavel Naumov
#51 Two Forms of Responsibility in Strategic Games
Pavel Naumov, Jia Tao
#74 Self-Supervised Adversarial Distribution Regularization for Medication Recommendation
Yanda Wang, Weitong Chen, Dechang PI, Lin Yue, Sen Wang, Miao Xu
#77 Pruning of Deep Spiking Neural Networks through Gradient Rewiring
Yanqi Chen, Zhaofei Yu, Wei Fang, Tiejun Huang, Yonghong Tian
#94 Noise2Grad: Extract Image Noise to Denoise
Huangxing Lin, Yihong Zhuang, Yue Huang, Xinghao Ding, Xiaoqing Liu, Yizhou Yu
#111 Graph Consistency Based Mean-Teaching for Unsupervised Domain Adaptive Person Re-Identification
Xiaobin Liu, Shiliang Zhang
#113 Understanding Structural Vulnerability in Graph Convolutional Networks
Liang Chen, Jintang Li, Qibiao Peng, Yang Liu, Zibin Zheng, Carl Yang
#117 Source-free Domain Adaptation via Avatar Prototype Generation and Adaptation
Zhen Qiu, Yifan Zhang, Hongbin Lin, Shuaicheng Niu, Yanxia Liu, Qing Du, Mingkui Tan
#127 AVA: Adversarial Vignetting Attack against Visual Recognition
Binyu Tian, Felix Juefei-Xu, Qing Guo, Xiaofei Xie, Xiaohong Li, Yang Liu
#146 A Sketch-Transformer Network for Face Photo-Sketch Synthesis
Mingrui Zhu, liang changcheng, Nannan Wang, Xiaoyu Wang, Zhifeng Li, Xinbo Gao
#149 Object Detection in Densely Packed Scenes via Semi-Supervised Learning with Dual Consistency
Chao Ye, Huaidong Zhang, Xuemiao Xu, Weiwei Cai, Jing Qin, Kup-Sze Choi
#162 PIANO: A Parametric Hand Bone Model from Magnetic Resonance Imaging
Yuwei Li, Lan Xu, Minye Wu, Yuyao Zhang, Jingyi Yu
#164 Few-shot Neural Human Performance Rendering from Sparse RGBD Videos
Anqi Pang, Xin Chen, Haimin Luo, Minye Wu, Jingyi Yu, Lan Xu
#165 GSPL: A Succinct Kernel Model for Group-Sparse Projections Learning of Multiview Data
Danyang Wu, Jin Xu, Xia Dong, Meng Liao, Rong Wang, Feiping Nie, Xuelong Li
#166 Non-contact Pain Recognition from Video Sequences with Remote Physiological Measurements Prediction
Ruijing Yang, Ziyu Guan, Zitong Yu, Xiaoyi Feng, Jinye Peng, Guoying Zhao
#175 Multi-Scale Selective Feedback Network with Dual Loss for Real Image Denoising
Xiaowan Hu, Yuanhao Cai, Zhihong Liu, Haoqian Wang, Yulun Zhang
#184 Chop Chop BERT: Visual Question Answering by Chopping VisualBERT’s Heads
Chenyu Gao, Qi Zhu, Peng Wang, Qi Wu
#188 Explaining Self-Supervised Image Representations with Visual Probing
Dominika Basaj, Witold Oleszkiewicz, Igor Sieradzki, Michał Górszczak, Barbara Rychalska, Tomasz Trzcinski, Bartosz Zieliński
#208 Hyperspectral Band Selection via Spatial-Spectral Weighted Region-wise Multiple Graph Fusion-Based Spectral Clustering
Chang Tang, Xinwang Liu, En Zhu, Lizhe Wang, Albert Zomaya
#220 Dual-Cross Central Difference Network for Face Anti-Spoofing
Zitong Yu, Yunxiao Qin, Hengshuang Zhao, Xiaobai Li, Guoying Zhao
#245 Neural Relation Inference for Multi-dimensional Temporal Point Processes via Message Passing Graph
Yunhao Zhang, Junchi Yan
#246 Dig into Multi-modal Cues for Video Retrieval with Hierarchical Alignment
Wenzhe Wang, Mengdan Zhang, Runnan Chen, Guanyu Cai, Penghao Zhou, Pai Peng, Xiaowei Guo, Jian Wu, Xing Sun
#257 Altruism Design in Networked Public Goods Games
Sixie Yu, David Kempe, Yevgeniy Vorobeychik
#262 CogTree: Cognition Tree Loss for Unbiased Scene Graph Generation
Jing Yu, Yuan Chai, Yujing Wang, Yue Hu, Qi Wu
#264 Picking Sequences and Monotonicity in Weighted Fair Division
Mithun Chakraborty, Ulrike Schmidt-Kraepelin, Warut Suksompong
#272 A Runtime Analysis of Typical Decomposition Approaches in MOEA/D Framework for Many-objective Optimization Problems
Zhengxin Huang, Yuren Zhou, Chuan Luo, Qingwei Lin
#295 GM-MLIC: Graph Matching based Multi-Label Image Classification
Yanan Wu, He Liu, Songhe Feng, Yi Jin, Gengyu Lyu, Zizhang Wu
#302 Mean Field Equilibrium in Multi-Armed Bandit Game with Continuous Reward
Xiong Wang, Riheng Jia
#306 Tag, Copy or Predict: A Unified Weakly-Supervised Learning Framework for Visual Information Extraction using Sequences
Jiapeng Wang, Tianwei Wang, Guozhi Tang, Lianwen Jin, Weihong Ma, Kai Ding, Yichao Huang
#310 MatchVIE: Exploiting Match Relevancy between Entities for Visual Information Extraction
Guozhi Tang, Lele Xie, Lianwen Jin, Jiapeng Wang, Jingdong Chen, Zhen Xu, Qianying Wang, Yaqiang Wu, Hui Li
#311 Instance-Aware Coherent Video Style Transfer for Chinese Ink Wash Painting
Hao Liang, Shuai Yang, Wenjing Wang, Jiaying Liu
#318 On a Competitive Secretary Problem with Deferred Selections
Tomer Ezra, Michal Feldman, Ron Kupfer
#333 Generalized Kings and Single-Elimination Winners in Random Tournaments
Pasin Manurangsi, Warut Suksompong
#344 Feature Space Targeted Attacks by Statistic Alignment
Lianli Gao, Yaya Cheng, Qilong Zhang, Xing Xu, Jingkuan Song
#348 Conditional Self-Supervised Learning for Few-Shot Classification
Yuexuan An, Hui Xue, Xingyu Zhao, Lu Zhang
#363 IMENet: Joint 3D Semantic Scene Completion and 2D Semantic Segmentation through Iterative Mutual Enhancement
Jie Li, Laiyan Ding, Rui Huang
#366 Riemannian Stochastic Recursive Momentum Method for non-Convex Optimization
Andi Han, Junbin Gao
#382 One-Shot Affordance Detection
Hongchen Luo, Wei Zhai, Jing Zhang, Yang Cao, Dacheng Tao
#397 Federated Learning with Fair Averaging
Zheng Wang, Xiaoliang Fan, Jianzhong Qi, Chenglu Wen, Cheng Wang, Rongshan Yu
#429 Domain Generalization under Conditional and Label Shifts via Variational Bayesian Inference
Xiaofeng Liu, Bo Hu, Linghao Jin, Xu Han, Fangxu Xing, Jinsong Ouyang, Jun Lu, Georges El Fakhri, Jonghye Woo
#432 Change the World - How Hard Can that Be? On the Computational Complexity of Fixing Planning Models
Songtuan Lin, Pascal Bercher
#441 Novelty Detection via Contrastive Learning with Negative Data Augmentation
Chengwei Chen, Yuan Xie, Shaohui Lin, Ruizhi Qiao, Jian Zhou, Xin Tan, Yi Zhang, Lizhuang Ma
#449 Hindsight Value Function for Variance Reduction in Stochastic Dynamic Environment
Jiaming Guo, Rui Zhang, Xishan Zhang, Shaohui Peng, Qi Yi, Zidong Du, Xing Hu, Qi Guo, Yunji Chen
#450 Structure Guided Lane Detection
Jinming Su, Chao Chen, Ke Zhang, Junfeng Luo, Xiaoming Wei, Xiaolin Wei
#456 Cross-Domain Few-Shot Classification via Adversarial Task Augmentation
Haoqing Wang, Zhi-Hong Deng
#459 Masked Contrastive Learning for Anomaly Detection
Hyunsoo Cho, Jinseok Seol, Sang-goo Lee
#461 Video Summarization via Label Distributions Dual-Reward
Yongbiao Gao, Ning Xu, Xin Geng
#473 An Adaptive News-Driven Method for CVaR-sensitive Online Portfolio Selection in Non-Stationary Financial Markets
Qianqiao Liang, Mengying Zhu, Xiaolin Zheng, Yan Wang
#478 Cooperative Joint Attentive Network for Patient Outcome Prediction on Irregular Multi-Rate Multivariate Health Data
Qingxiong Tan, Mang Ye, Grace Lai-Hung Wong, PongChi Yuen
#479 On the Neural Tangent Kernel of Deep Networks with Orthogonal Initialization
Wei Huang, Weitao Du, Richard Yi Da Xu
#485 Modeling Trajectories with Neural Ordinary Differential Equations
Yuxuan Liang, Kun Ouyang, Hanshu Yan, Yiwei Wang, Zekun Tong, Roger Zimmermann
#490 Audio2Head: Audio-driven One-shot Talking-head Generation with Natural Head Motion
Suzhen Wang, Lincheng Li, Yu Ding, Changjie Fan, Xin Yu
#498 Reward-Constrained Behavior Cloning
Zhaorong Wang, Meng Wang, Jingqi Zhang, Yingfeng Chen, Chongjie Zhang
#512 Learning in Markets: Greed Leads to Chaos but Following the Price is Right
Yun Kuen Cheung, Stefanos Leonardos, Georgios Piliouras
#514 Towards Unsupervised Deformable-Instances Image-to-Image Translation
Sitong Su, Jingkuan Song, Lianli Gao, Junchen Zhu
#518 Neighborhood Intervention Consistency: Measuring Confidence for Knowledge Graph Link Prediction
Kai Wang, Yu Liu, Quan Z. Sheng
#520 Vitality Indices are Equivalent to Induced Game-Theoretic Centralities
Oskar Skibski
#522 Document-level Relation Extraction as Semantic Segmentation
Ningyu Zhang, Xiang Chen, Xin Xie, Shumin Deng, Chuanqi Tan, Mosha Chen, Fei Huang, Luo Si, Huajun Chen
#536 Drop Redundant, Shrink Irrelevant: Selective Knowledge Injection for Language Pretraining
Ningyu Zhang, Shumin Deng, Xu Cheng, Xi Chen, Yichi Zhang, Wei Zhang, Huajun Chen
#537 AMEIR: Automatic Behavior Modeling, Interaction Exploration and MLP Investigation in the Recommender System
Pengyu Zhao, Kecheng Xiao, Yuanxing Zhang, Kaigui Bian, Wei Yan
#542 Direct Measure Matching for Crowd Counting
Hui Lin, Xiaopeng Hong, Zhiheng Ma, Xing Wei, Yunfeng Qiu, Yaowei Wang, Yihong Gong
#555 Interacting with Explanations through Critiquing
Diego Antognini, Claudiu Musat, Boi Faltings
#564 Deep Reinforcement Learning for Navigation in AAA Video Games
Eloi Alonso, Maxim Peter, David Goumard, Joshua Romoff
#573 Improved CP-Based Lagrangian Relaxation Approach with an Application to the TSP
Raphaël Boudreault, Claude-Guy Quimper
#600 HIP Network: Historical Information Passing Network for Extrapolation Reasoning on Temporal Knowledge Graph
Yongquan He, Peng Zhang, Luchen Liu, Qi Liang, Wenyuan Zhang, Chuang Zhang
#610 InverseNet: Augmenting Model Extraction Attacks with Training Data Inversion
Xueluan Gong, Yanjiao Chen, Wenbin Yang, Guanghao Mei, Qian Wang
#624 Asynchronous Multi-grained Graph Network For Interpretable Multi-hop Reading Comprehension
Ronghan Li, Lifang Wang, Shengli Wang, Zejun Jiang
#625 Speech2Talking-Face: Inferring and Driving a Face with Synchronized Audio-Visual Representation
Yasheng Sun, Hang Zhou, Ziwei Liu, Hideki Koike
#627 Keyword-Based Knowledge Graph Exploration Based on Quadratic Group Steiner Trees
Yuxuan Shi, Gong Cheng, Trung-Kien Tran, Jie Tang, Evgeny Kharlamov
#644 Causal Discovery with Multi-Domain LiNGAM for Latent Factors
Yan Zeng, Shohei Shimizu, Ruichu Cai, Feng Xie, Michio Yamamoto, Zhifeng Hao
#648 Interpretable Compositional Convolutional Neural Networks
Wen Shen, Zhihua Wei, Shikun Huang, Binbin Zhang, Jiaqi Fan, Ping Zhao, Quanshi Zhang
#661 UniGNN: a Unified Framework for Graph and Hypergraph Neural Networks
Jing Huang, Jie Yang
#679 Noise Doesn't Lie: Towards Universal Detection of Deep Inpainting
Ang Li, Qiuhong Ke, Xingjun Ma, Haiqin Weng, Zhiyuan Zong, Feng Xue, Rui Zhang
#684 Graph Debiased Contrastive Learning with Joint Representation Clustering
Han Zhao, Xu Yang, Zhenru Wang, Erkun Yang, Cheng Deng
#688 Tracklet Proposal Network for Multi-Object Tracking on Point Clouds
Hai Wu, Qing Li, Chenglu Wen, Xin Li, Xiaoliang Fan, Cheng Wang
#698 Detecting Deepfake Videos with Temporal Dropout 3DCNN
Daichi Zhang, Chenyu Li, Fanzhao Lin, Dan Zeng, Shiming Ge
#706 PointLIE: Locally Invertible Embedding for Point Cloud Sampling and Recovery
Weibing Zhao, Xu Yan, Jiantao Gao, Ruimao Zhang, Jiayan Zhang, Zhen Li, Song Wu, Shuguang Cui
#723 Improving Welfare in One-Sided Matchings using Simple Threshold Queries
Thomas Ma, Vijay Menon, Kate Larson
#725 Leveraging Human Attention in Novel Object Captioning
Xianyu Chen, Ming Jiang, Qi Zhao
#727 Stochastic Actor-Executor-Critic for Image-to-Image Translation
Ziwei Luo, Jing Hu, Xin Wang, Siwei Lyu, Bin Kong, Youbing Yin, Qi Song, Xi Wu
#732 Coupling Intent and Action for Pedestrian Crossing Behavior Prediction
Yu Yao, Ella Atkins, Matthew Johnson-Roberson, Ram Vasudevan, Xiaoxiao Du
#747 You Get What You Sow: High Fidelity Image Synthesis with a Single Pretrained Network
Kefeng Zhu, Peilin Tong, Hongwei Kan, Rengang Li
#752 SiamRCR: Reciprocal Classification and Regression for Visual Object Tracking
Jinlong Peng, Zhengkai Jiang, Yueyang Gu, Yang Wu, Yabiao Wang, Ying Tai, Chengjie Wang, Weiyao Lin
#765 Hierarchical Self-supervised Augmented Knowledge Distillation
Chuanguang Yang, Zhulin An, Linhang Cai, Yongjun Xu
#767 CIMON: Towards High-quality Hash Codes
Xiao Luo, Daqing Wu, Zeyu Ma, Chong Chen, Minghua Deng, Jinwen Ma, Zhongming Jin, Jianqiang Huang, Xian-Sheng Hua
#768 Symbolic Dynamic Programming for Continuous State MDPs with Linear Program Transitions
Jihwan Jeong, Parth Jaggi, Scott Sanner
#788 Dual Reweighting Domain Generalization for Face Presentation Attack Detection
Shubao Liu, Ke-Yue Zhang, Taiping Yao, Kekai Sheng, Shouhong Ding, Ying Tai, Jilin Li, Yuan Xie, Lizhuang Ma
#791 Uncertainty-Aware Few-Shot Image Classification
Zhizheng Zhang, Cuiling Lan, Wenjun Zeng, Zhibo Chen, Shih-Fu Chang
#799 On the Intrinsic Differential Privacy of Bagging
Hongbin Liu, Jinyuan Jia, Neil Zhenqiang Gong
#800 RR-Net: Injecting Interactive Semantics in Human-Object Interaction Detection
Dongming Yang, Yuexian Zou, Can Zhang, Meng Cao, Jie Chen
#802 Shortlisting Rules and Incentives in an End-to-End Model for Participatory Budgeting
Simon Rey, Ulle Endriss, Ronald de Haan
#819 Zero-Shot Chinese Character Recognition with Stroke-Level Decomposition
Jingye Chen, Bin Li, Xiangyang Xue
#821 Domain-Smoothing Network for Zero-Shot Sketch-Based Image Retrieval
Zhipeng Wang, Hao Wang, Jiexi Yan, Aming Wu, Cheng Deng
#830 Deep Unified Cross-Modality Hashing by Pairwise Data Alignment
Yimu Wang, Bo Xue, Quan Cheng, Yuhui Chen, Lijun Zhang
#844 On Self-Distilling Graph Neural Network
Yuzhao Chen, Yatao Bian, Xi Xiao, Yu Rong, Tingyang Xu, Junzhou Huang
#847 Learn from Syntax: Improving Pair-wise Aspect and Opinion Terms Extraction with Rich Syntactic Knowledge
Shengqiong Wu, Hao Fei, Yafeng Ren, Donghong Ji, Jingye Li
#850 Learning from Complementary Labels via Partial-Output Consistency Regularization
Deng-Bao Wang, Lei Feng, Min-Ling Zhang
#851 Discovering Collaborative Signals for Next POI Recommendation with Iterative Seq2Graph Augmentation
Yang Li, Tong Chen, Yadan Luo, Hongzhi Yin, Zi Huang
#853 Demiguise Attack: Crafting Invisible Semantic Adversarial Perturbations with Perceptual Similarity
Yajie Wang, Shangbo Wu, Wenyi Jiang, Shengang Hao, Yu-an Tan, Quanxin Zhang
#856 Context-aware Cross-level Fusion Network for Camouflaged Object Detection
Yujia Sun, Geng Chen, Tao Zhou, Yi Zhang, Nian Liu
#860 Learning Implicitly with Noisy Data in Linear Arithmetic
Alexander Rader, Ionela Mocanu, Vaishak Belle, Brendan Juba
#865 Contrastive Model Invertion for Data-Free Knolwedge Distillation
Gongfan Fang, Jie Song, Xinchao Wang, Chengchao Shen, Xingen Wang, Mingli Song
#882 Pairwise Half-graph Discrimination: A Simple Graph-level Self-supervised Strategy for Pre-training Graph Neural Networks
Pengyong Li, Jun Wang, Ziliang Li, Yixuan Qiao, Xianggen Liu, Fei Ma, Peng Gao, Sen Song, Guotong Xie
#893 Self-supervised Network Evolution for Few-shot Classification
Xuwen Tang, Zhu Teng, Baopeng Zhang, Jianping Fan
#898 Adv-Makeup: A New Imperceptible and Transferable Attack on Face Recognition
Bangjie Yin, Wenxuan Wang, Taiping Yao, Junfeng Guo, Zelun Kong, Shouhong Ding, Jilin Li, Cong Liu
#900 Local Representation is Not Enough: Soft Point-Wise Transformer for Descriptor and Detector of Local Features
Zihao Wang, Xueyi Li, Zhen Li
#929 Hierarchical Temporal Multi-Instance Learning for Video-based Student Learning Engagement Assessment
Jiayao Ma, Xinbo Jiang, Songhua Xu, Xueying Qin
#940 Learn from Concepts: Towards the Purified Memory for Few-shot Learning
Xuncheng Liu, Xudong Tian, Shaohui Lin, Yanyun Qu, Lizhuang Ma, Wang Yuan, Zhizhong Zhang, Yuan Xie
#961 Skeptical Reasoning with Preferred Semantics in Abstract Argumentation without Computing Preferred Extensions
Matthias Thimm, Federico Cerutti, Mauro Vallati
#970 Learning Visual Words for Weakly-Supervised Semantic Segmentation
Lixiang Ru, Bo Du, Chen Wu
#975 Learning Spectral Dictionary for Local Representation of Mesh
Zhongpai Gao, Junchi Yan, Guangtao Zhai, Xiaokang Yang
#982 Stochastic Shortest Path with Adversarially Changing Costs
Aviv Rosenberg, Yishay Mansour
#988 Learning Implicit Temporal Alignment for Few-shot Video Classification
Songyang Zhang, Jiale Zhou, Xuming He
#994 Bounded-cost Search Using Estimates of Uncertainty
Maximilian Fickert, Tianyi Gu, Wheeler Ruml
#995 Towards Compact Single Image Super-Resolution via Contrastive Self-distillation
Yanbo Wang, Shaohui Lin, Yanyun Qu, Haiyan Wu, Zhizhong Zhang, Yuan Xie, Angela Yao
#999 On the Relation Between Approximation Fixpoint Theory and Justification Theory
Simon Marynissen, Bart Bogaerts, Marc Denecker
#1001 Don’t Do What Doesn’t Matter: Intrinsic Motivation with Action Usefulness
Mathieu Seurin, Florian Strub, Philippe Preux, Olivier Pietquin
#1004 Stability and Generalization for Randomized Coordinate Descent
Puyu Wang, Liang Wu, Yunwen Lei
#1019 TIDOT: A Teacher Imitation Learning Approach for Domain Adaptation with Optimal Transport
Tuan Nguyen, Trung Le, Nhan Dam, Quan Hung Tran, Truyen Nguyen, Dinh Phung
#1020 New Algorithms for Japanese Residency Matching
Zhaohong Sun, Taiki Todo, Makoto Yokoo
#1022 Self-boosting for Feature Distillation
Yulong Pei, Yanyun Qu, Junping Zhang
#1023 School Choice with Flexible Diversity Goals and Specialized Seats
Haris Aziz, Zhaohong Sun
#1024 AdaVQA: Overcoming Language Priors with Adapted Margin Cosine Loss
Yangyang Guo, Liqiang Nie, Zhiyong Cheng, Feng Ji, Ji Zhang, Alberto Del Bimbo
#1025 Fair Pairwise Exchange among Groups
Zhaohong Sun, Taiki Todo, Toby Walsh
#1029 MFNP: A Meta-optimized Model for Few-shot Next POI Recommendation
Huimin Sun, Jiajie Xu, Kai Zheng, Pengpeng Zhao, Pingfu Chao, Xiaofang Zhou
#1038 Automatic Translation of Music-to-Dance for In-Game Characters
Yinglin Duan, Tianyang Shi, Zhipeng Hu, Zhengxia Zou, Changjie Fan, Yi Yuan, Xi Li
#1052 Accelerating Neural Architecture Search via Proxy Data
Byunggook Na, Jisoo Mok, Hyeokjun Choe, Sungroh Yoon
#1059 Information Bottleneck Approach to Spatial Attention Learning
Qiuxia Lai, Yu Li, Ailing Zeng, Minhao Liu, Hanqiu Sun, Qiang Xu
#1067 Few-Shot Learning with Part Discovery and Augmentation from Unlabeled Images
Wentao Chen, Chenyang Si, Wei Wang, Liang Wang, Zilei Wang, Tieniu Tan
#1075 Graph Entropy Guided Node Embedding Dimension Selection for Graph Neural Networks
Gongxu Luo, Jianxin Li, Hao Peng, Carl Yang, Lichao Sun, Philip S. Yu, Lifang He
#1088 TE-ESN: Time Encoding Echo State Network for Prediction Based on Irregularly Sampled Time Series Data
Chenxi Sun, Shenda Hong, Moxian Song, Yen-Hsiu Chou, Yongyue Sun, Derun Cai, Hongyan Li
#1113 Reinforcement Learning for Route Optimization with Robustness Guarantees
Tobias Jacobs, Francesco Alesiani, Gulcin Ermis
#1129 An Axiom System for Feedback Centralities
Tomasz Wąs, Oskar Skibski
#1131 Discourse-Level Event Temporal Ordering with Uncertainty-Guided Graph Completion
Jian Liu, Jinan Xu, Yufeng Chen, Yujie Zhang
#1139 Model-based Multi-agent Policy Optimization with Adaptive Opponent-wise Rollouts
Weinan Zhang, Xihuai Wang, Jian Shen, Ming Zhou
#1142 Predicting Traffic Congestion Evolution: A Deep Meta Learning Approach
Yidan Sun, Guiyuan Jiang, Siew Kei Lam, Peilan He
#1146 Topological Uncertainty: Monitoring Trained Neural Networks through Persistence of Activation Graphs
Théo Lacombe, Yuichi Ike, Mathieu Carrière, Frédéric Chazal, Marc Glisse, Yuhei Umeda
#1152 What Changed? Interpretable Model Comparison
Rahul Nair, Massimiliano Mattetti, Elizabeth Daly, Dennis Wei, Oznur Alkan, Yunfeng Zhang
#1154 Point Cloud Registration by Planning with a Learned Latent Dynamic Model
Haobo Jiang, Jianjun Qian, Jin Xie, Jian Yang
#1162 Incorporating Queueing Dynamics into Schedule-Driven Traffic Control
Hsu-Chieh Hu, Allen M. Hawkes, Stephen F. Smith
#1181 Guaranteeing Maximin Shares: Some Agents Left Behind
Hadi Hosseini, Andrew Searns
#1189 Tool- and Domain-Agnostic Parameterization of Style Transfer Effects Leveraging Pretrained Perceptual Metrics
Hiromu Yakura, Yuki Koyama, Masataka Goto
#1190 Change Matters: Medication Change Prediction with Recurrent Residual Networks
Chaoqi Yang, Cao Xiao, Lucas Glass, Jimeng Sun
#1198 Does Every Data Instance Matter? Enhancing Sequential Recommendation by Eliminating Unreliable Data
Yatong Sun, Bin Wang, Zhu Sun, Xiaochun Yang
#1200 BAMBOO: A Multi-instance Multi-label Approach Towards VDI User Logon Behavior Modeling
Wenping Fan, Yao Zhang, Qichen Hao, Xinya Wu, Min-Ling Zhang
#1213 Weakly-Supervised Spatio-Temporal Anomaly Detection in Surveillance Video
Jie Wu, Wei Zhang, Guanbin Li, Wenhao Wu, Xiao Tan, Yingying Li, Errui Ding, Liang Lin
#1233 MG-DVD: A Real-time Framework for Malware Variant Detection Based on Dynamic Heterogeneous Graph Learning
Chen Liu, Bo Li, Jun Zhao, Ming Su, Xu-Dong Liu
#1239 Graphical Cake Cutting via Maximin Share
Edith Elkind, Erel Segal-Halevi, Warut Suksompong
#1244 Automatically Paraphrasing via Sentence Reconstruction and Round-trip Translation
Zilu Guo, Zhongqiang Huang, Kenny Q. Zhu, Guandan Chen, Kaibo Zhang, Boxing Chen, Fei Huang
#1267 EventDrop: Data Augmentation for Event-based Learning
Fuqiang Gu, Weicong Sng, Xuke Hu, Fangwen Yu
#1279 Towards Cross-View Consistency in Semantic Segmentation While Varying View Direction
Xin Tong, Xianghua Ying, Yongjie Shi, He Zhao, Ruibin Wang
#1302 Two-stage Training for Learning from Label Proportions
Jiabin Liu, Bo Wang, Xin Shen, Zhiquan Qi, Yingjie Tian
#1319 Proposal-free One-stage Referring Expression via Grid-Word Cross-Attention
Wei Suo, MengYang Sun, Peng Wang, Qi Wu
#1321 Medical Image Segmentation using Squeeze-and-Expansion Transformers
Shaohua Li, Xiuchao Sui, Xiangde Luo, Xinxing Xu, Yong Liu, Rick Goh
#1329 Dual Active Learning for Both Model and Data Selection
Ying-Peng Tang, Sheng-Jun Huang
#1330 Budget-feasible Maximum Nash Social Welfare is Almost Envy-free
Xiaowei Wu, Bo Li, Jiarui Gan
#1343 Multi-Agent Reinforcement Learning for Automated Peer-to-Peer Energy Trading in Double-Side Auction Market
Dawei Qiu, Jianhong Wang, Junkai Wang, Goran Strbac
#1356 Dominant Resource Fairness with Meta-Types
Steven Yin, Shatian Wang, Lingyi Zhang, Christian Kroer
#1360 Multi-Level Graph Encoding with Structural-Collaborative Relation Learning for Skeleton-Based Person Re-Identification
Haocong Rao, Shihao Xu, Xiping Hu, Jun Cheng, Bin Hu
#1365 Heterogeneous Graph Information Bottleneck
Liang Yang, Fan Wu, Zichen Zheng, Bingxin Niu, Junhua Gu, Chuan Wang, Xiaochun Cao, Yuanfang Guo
#1366 Data-Efficient Reinforcement Learning for Malaria Control
Lixin Zou
#1369 Graph Filter-based Multi-view Attributed Graph Clustering
Zhiping Lin, Zhao Kang
#1380 Synthesizing Good-Enough Strategies for LTLf Specifications
Yong Li, Andrea Turrini, Moshe Y. Vardi, Lijun Zhang
#1390 Regularising Knowledge Transfer by Meta Functional Learning
Pan Li, Yanwei Fu, Shaogang Gong
#1396 Knowledge-Aware Dialogue Generation via Hierarchical Infobox Accessing and Infobox-Dialogue Interaction Graph Network
Sixing Wu, Minghui Wang, Dawei Zhang, Yang Zhou, Ying Li, Zhonghai Wu
#1414 Disentangled Face Attribute Editing via Instance-Aware Latent Space Search
Yuxuan Han, Jiaolong Yang, Ying Fu
#1418 Layer-Assisted Neural Topic Modeling over Document Networks
Yiming Wang, Ximing Li, Jihong Ouyang
#1421 BACKDOORL: Backdoor Attack against Competitive Reinforcement Learning
Lun Wang, Zaynah Javed, Xian Wu, Wenbo Guo, Xinyu Xing, Dawn Song
#1428 A Multi-Constraint Similarity Learning with Adaptive Weighting for Visible-Thermal Person Re-Identification
Yongguo Ling, Zhiming Luo, Yaojin Lin, Shaozi Li
#1449 Worst-case Bounds on Power vs. Proportion in Weighted Voting Games with Application to False-name Manipulation
Yotam Gafni, Ron Lavi, Moshe Tennenholtz
#1457 Online Selection of Diverse Committees
Virginie Do, Jamal Atif, Jérôme Lang, Nicolas Usunier
#1470 Stochastic Market Games
Kyrill Schmid, Lenz Belzner, Robert Müller, Johannes Tochtermann, Claudia Linnhoff-Popien
#1482 What If We Could Not See? Counterfactual Analysis for Egocentric Action Anticipation
Tianyu Zhang, Weiqing Min, Jiahao Yang, Tao Liu, Shuqiang Jiang, Yong Rui
#1494 EmbedMask: Embedding Coupling for Instance Segmentation
Hui Ying, Zhaojin Huang, Shu Liu, Tianjia Shao, Kun Zhou
#1542 Improving Context-Aware Neural Machine Translation with Source-side Monolingual Documents
Linqing Chen, Junhui Li, Zhengxian Gong, Xiangyu Duan, Boxing Chen, Weihua Luo, Min Zhang, Guodong Zhou
#1553 Isotonic Data Augmentation for Knowledge Distillation
Wanyun Cui, Sen Yan
#1555 Active Goal Recognition Design
Kevin C. Gall, Wheeler Ruml, Sarah Keren
#1563 SafeDrug: Dual Molecular Graph Encoders for Recommending Effective and Safe Drug Combinations
Chaoqi Yang, Cao Xiao, Fenglong Ma, Lucas Glass, Jimeng Sun
#1573 Decision Making with Differential Privacy under a Fairness Lens
Cuong Tran, Ferdinando Fioretto, Pascal Van Hentenryck, Zhiyan Yao
#1588 Diversity in Kemeny Rank Aggregation: A Parameterized Approach
Emmanuel Arrighi, Henning Fernau, Daniel Lokshtanov, Mateus de Oliveira Oliveira, Petra Wolf
#1597 On the Convergence of Stochastic Compositional Gradient Descent Ascent Method
Hongchang Gao, Xiaoqian Wang, Lei Luo, Xinghua Shi
#1601 Towards Understanding Deep Learning from Noisy Labels with Small-Loss Criterion
Xian-Jin Gui, Wei Wang, Zhang-Hao Tian
#1606 Weakly Supervised Dense Video Captioning via Jointly Usage of Knowledge Distillation and Cross-modal Matching
Bofeng Wu, Guocheng Niu, Jun Yu, Xinyan Xiao, Jian Zhang, Hua Wu
#1613 Uncertainty-aware Binary Neural Networks
Junhe Zhao, Linlin Yang, Baochang Zhang, Guodong Guo, David Doermann
#1624 KDExplainer: A Task-oriented Attention Model for Explaining Knowledge Distillation
Mengqi Xue, Jie Song, Xinchao Wang, Ying Chen, Xingen Wang, Mingli Song
#1626 Dialogue Disentanglement in Software Engineering: How Far are We?
Ziyou Jiang, Lin Shi, Celia Chen, Jun Hu, Qing Wang
#1632 Dynamic Inconsistency-aware DeepFake Video Detection
Ziheng Hu, Hongtao Xie, YuXin Wang, Jiahong Li, Zhongyuan Wang, Yongdong Zhang
#1640 Almost Envy-Freeness for Groups: Improved Bounds via Discrepancy Theory
Pasin Manurangsi, Warut Suksompong
#1651 Optimal ANN-SNN Conversion for Fast and Accurate Inference in Deep Spiking Neural Networks
Jianhao Ding, Zhaofei Yu, Yonghong Tian, Tiejun Huang
#1661 Temporal and Object Quantification Networks
Jiayuan Mao, Zhezheng Luo, Chuang Gan, Joshua B. Tenenbaum, Jiajun Wu, Leslie Pack Kaelbling, Tomer D. Ullman
#1663 Evolutionary Gradient Descent for Non-convex Optimization
Ke Xue, Chao Qian, Ling Xu, Xudong Fei
#1671 DA-GCN: A Domain-aware Attentive Graph Convolution Network for Shared-account Cross-domain Sequential Recommendation
Lei Guo, Li Tang, Tong Chen, Lei Zhu, Quoc Viet Hung Nguyen, Hongzhi Yin
#1708 Sample Efficient Decentralized Stochastic Frank-Wolfe Methods for Continuous DR-Submodular Maximization
Hongchang Gao, Hanzi Xu, Slobodan Vucetic
#1724 Temporal Heterogeneous Information Network Embedding
Hong Huang, Ruize Shi, Wei Zhou, Xiao Wang, Hai Jin, Xiaoming Fu
#1734 A Novel Sequence-to-Subgraph Framework for Diagnosis Classification
Jun Chen, Quan Yuan, Chao Lu, Haifeng Huang
#1737 Neural Regret-Matching for Distributed Constraint Optimization Problems
Yanchen Deng, Runsheng Yu, Xinrun Wang, Bo An
#1752 FedSpeech: Federated Text-to-Speech with Continual Learning
Ziyue Jiang, Yi Ren, Ming Lei, Zhou Zhao
#1754 Spline Positional Encoding for Learning 3D Implicit Signed Distance Fields
Peng-Shuai Wang, Yang Liu, Yu-Qi Yang, Xin Tong
#1756 TextGTL: Graph-based Transductive Learning for Semi-supervised Text Classification via Structure-Sensitive Interpolation
Chen Li, Xutan Peng, Hao Peng, Jianxin Li, Lihong Wang
#1759 Segmenting Transparent Objects in the Wild with Transformer
Enze Xie, Wenjia Wang, Wenhai Wang, Peize Sun, Hang Xu, Ding Liang, Ping Luo
#1763 Long-term, Short-term and Sudden Event: Trading Volume Movement Prediction with Graph-based Multi-view Modeling
Liang Zhao, Wei Li, Ruihan Bao, Keiko Harimoto, Yunfang Wu, Xu Sun
#1771 Learning Attributed Graph Representation with Communicative Message Passing Transformer
Jianwen Chen, Shuangjia Zheng, Ying Song, Jiahua Rao, Yuedong Yang
#1785 UNBERT: User-News Matching BERT for News Recommendation
Qi Zhang, Jingjie Li, Qinglin Jia, Chuyuan Wang, Jieming Zhu, Zhaowei Wang, Xiuqiang He
#1789 Robust Adversarial Imitation Learning via Adaptively-Selected Demonstrations
Yunke Wang, Chang Xu, Bo Du
#1796 Text-based Person Search via Multi-Granularity Embedding Learning
Chengji Wang, Zhiming Luo, Yaojin Lin, Shaozi Li
#1805 Non-I.I.D. Multi-Instance Learning for Predicting Instance and Bag Labels with Variational Auto-Encoder
Weijia Zhang
#1836 Inconsistency Measurement for Paraconsistent Inference
Yakoub Salhi
#1857 Reasoning about Beliefs and Meta-Beliefs by Regressionin an Expressive Probabilistic Action Logic
Daxin Liu, Gerhard Lakemeyer
#1859 Improved Algorithms for Allen's Interval Algebra: a Dynamic Programming Approach
Leif Eriksson, Victor Lagerkvist
#1865 Towards Generating Summaries for Lexically Confusing Code through Code Erosion
Fan Yan, Ming Li
#1872 Details (Don't) Matter: Isolating Cluster Information in Deep Embedded Spaces
Lukas Miklautz, Lena G. M. Bauer, Dominik Mautz, Sebastian Tschiatschek, Christian Böhm, Claudia Plant
#1875 An Entanglement-driven Fusion Neural Network for Video Sentiment Analysis
Dimitris Gkoumas, Qiuchi Li, Yijun Yu, Dawei Song
#1883 Choice Logics and Their Computational Properties
Michael Bernreiter, Jan Maly, Stefan Woltran
#1890 Beyond the Spectrum: Detecting Deepfakes via Re-Synthesis
Yang He, Ning Yu, Margret Keuper, Mario Fritz
#1904 AMA-GCN: Adaptive Multi-layer Aggregation Graph Convolutional Network for Disease Prediction
Hao Chen, Fuzhen Zhuang, Li Xiao, Ling Ma, Haiyan Liu, Ruifang Zhang, Huiqin Jiang, Qing He
#1908 Multi-Objective Reinforcement Learning for Designing Ethical Environments
Manel Rodriguez-Soto, Maite Lopez-Sanchez, Juan A. Rodriguez Aguilar
#1918 Modeling Precomputation In Games Played Under Computational Constraints
Thomas Orton
#1924 Exploiting Spiking Dynamics with Spatial-temporal Feature Normalization in Graph Learning
Mingkun Xu, Yujie Wu, Lei Deng, Faqiang Liu, Guoqi Li, Jing Pei
#1927 Time-Aware Multi-Scale RNNs for Time Series Modeling
Zipeng Chen, Qianli Ma, Zhenxi Lin
#1933 Stochastic Probing with Increasing Precision
Martin Hoefer, Kevin Schewior, Daniel Schmand
#1963 Location Predicts You: Location Prediction via Bi-direction Speculation and Dual-level Association
Xixi Li, Ruimin Hu, Zheng Wang, Toshihiko Yamasaki
#2000 Step-Wise Hierarchical Alignment Network for Image-Text Matching
Zhong Ji, Kexin Chen, Haoran Wang
#2021 Improved Acyclicity Reasoning for Bayesian Network Structure Learning with Constraint Programming
Fulya Trösser, Simon de Givry, George Katsirelos
#2022 Robust Regularization with Adversarial Labelling of Perturbed Samples
Xiaohui Guo, Richong Zhang, Yaowei Zheng, Yongyi Mao
#2032 Event-based Action Recognition Using Motion Information and Spiking Neural Networks
Qianhui Liu, Dong Xing, Huajin Tang, De Ma, Gang Pan
#2036 Learning with Generated Teammates to Achieve Type-Free Ad-Hoc Teamwork
Dong Xing, Qianhui Liu, Qian Zheng, Gang Pan
#2045 Clustering-Induced Adaptive Structure Enhancing Network for Incomplete Multi-View Data
Zhe Xue, Junping Du, Changwei Zheng, Jie Song, Wenqi Ren, Meiyu Liang
#2054 Deep Automatic Natural Image Matting
Jizhizi Li, Jing Zhang, Dacheng Tao
#2060 Boosting Variational Inference With Locally Adaptive Step-Sizes
Gideon Dresdner, Saurav Shekhar, Fabian Pedregosa, Francesco Locatello, Gunnar Rätsch
#2064 Finite-Trace and Generalized-Reactivity Specifications in Temporal Synthesis
Giuseppe De Giacomo, Antonio Di Stasio, Lucas M. Tabajara, Moshe Vardi, Shufang Zhu
#2068 Likelihood-free Out-of-Distribution Detection with Invertible Generative Models
Amirhossein Ahmadian, Fredrik Lindsten
#2078 Decomposition Strategies to Count Integer Solutions over Linear Constraints
Cunjing Ge, Armin Biere
#2081 Efficient PAC Reinforcement Learning in Regular Decision Processes
Alessandro Ronca, Giuseppe De Giacomo
#2086 State-Aware Value Function Approximation with Attention Mechanism for Restless Multi-armed Bandits
Shuang Wu, Jingyu Zhao, Guangjian Tian, Jun Wang
#2093 Best-Effort Synthesis: Doing Your Best Is Not Harder Than Giving Up
Benjamin Aminof, Giuseppe De Giacomo, Sasha Rubin
#2095 Smart Contract Vulnerability Detection: From Pure Neural Network to Interpretable Graph Feature and Expert Pattern Fusion
Zhenguang Liu, Peng Qian, Xiang Wang, Lei Zhu, Qinming He, Shouling Ji
#2112 Dynamic Lane Traffic Signal Control with Group Attention and Multi-Timescale Reinforcement Learning
Qize Jiang, Jingze Li, Weiwei Sun, Baihua Zheng
#2116 Independence-aware Advantage Estimation
Pushi Zhang, Li Zhao, Guoqing Liu, Jiang Bian, Minlie Huang, Tao Qin, Tie-Yan Liu
#2120 Asynchronous Active Learning with Distributed Label Querying
Sheng-Jun Huang, Chen-Chen Zong, Kun-Peng Ning, Hai-Bo Ye
#2121 On Belief Change for Multi-Label Classifier Encodings
Sylvie Coste-Marquis, Pierre Marquis
#2125 Accounting for Confirmation Bias in Crowdsourced Label Aggregation
Meric Altug Gemalmaz, Ming Yin
#2126 Federated Model Distillation with Noise-Free Differential Privacy
Lichao Sun, Lingjuan Lyu
#2139 Learning Embeddings from Knowledge Graphs With Numeric Edge Attributes
Sumit Pai, Luca Costabello
#2140 Transfer Learning via Optimal Transportation for Integrative Cancer Patient Stratification
Ziyu Liu, Wei Shao, Jie Zhang, Min Zhang, Kun Huang
#2144 Deep Descriptive Clustering
Hongjing Zhang, Ian Davidson
#2145 Ranking Extensions in Abstract Argumentation
Kenneth Skiba, Tjitze Rienstra, Matthias Thimm, Jesse Heyninck, Gabriele Kern-Isberner
#2147 Bias Silhouette Analysis: Towards Assessing the Quality of Bias Metrics for Word Embedding Models
Maximilian Spliethöver, Henning Wachsmuth
#2149 Multi-view Feature Augmentation with Adaptive Class Activation Mapping
Xiang Gao, Yingjie Tian, Zhiquan Qi
#2157 Improving Multi-agent Coordination by Learning to Estimate Contention
Panayiotis Danassis, Florian Wiedemair, Boi Faltings
#2158 Relaxed Core Stability in Fractional Hedonic Games
Angelo Fanelli, Gianpiero Monaco, Luca Moscardelli
#2160 Cardinality Queries over DL-Lite Ontologies
Meghyn Bienvenu, Quentin Manière, Michaël Thomazo
#2163 Updating the Belief Promotion Operator
Daniel A. Grimaldi, M. Vanina Martinez, Ricardo O. Rodriguez
#2168 Adaptive Residue-wise Profile Fusion for Low Homologous Protein Secondary Structure Prediction Using External Knowledge
Qin Wang, Jun Wei, Boyuan Wang, Zhen Li, Sheng Wang, Shuguang Cui
#2174 Multi-version Tensor Completion for Time-delayed Spatio-temporal Data
Cheng Qian, Nikos Kargas, Cao Xiao, Lucas Glass, Nicholas Sidiropoulos, Jimeng Sun
#2186 Multi-Cause Effect Estimation with Disentangled Confounder Representation
Jing Ma, Ruocheng Guo, Aidong Zhang, Jundong Li
#2188 Secure Deep Graph Generation with Link Differential Privacy
Carl Yang, Haonan Wang, Ke Zhang, Liang Chen, Lichao Sun
#2194 Learning to Learn Personalized Neural Network for Ventricular Arrhythmias Detection on Intracardiac EGMs
Zhenge Jia, Zhepeng Wang, Feng Hong, Lichuan PING, Yiyu Shi, Jingtong Hu
#2238 Dynamic Rebalancing Dockless Bike-Sharing System based on Station Community Discovery
Jingjing Li, Qiang Wang, Wenqi Zhang, Donghai Shi, Zhiwei Qin
#2248 Attention-based Pyramid Dilated Lattice Network for Blind Image Denoising
Mohammad Nikzad, Yongsheng Gao, Jun Zhou
#2263 Decomposable-Net: Scalable Low-Rank Compression for Neural Networks
Atsushi Yaguchi, Taiji Suzuki, Shuhei Nitta, Yukinobu Sakata, Akiyuki Tanizawa
#2281 Efficient Black-Box Planning Using Macro-Actions with Focused Effects
Cameron Allen, Michael Katz, Tim Klinger, George Konidaris, Matthew Riemer, Gerald Tesauro
#2284 Inferring Time-delayed Causal Relations in POMDPs from the Principle of Independence of Cause and Mechanism
Junchi Liang, Abdeslam Boularias
#2285 Blocking-based Neighbor Sampling for Large-scale Graph Neural Networks
Kai-Lang Yao, Wu-Jun Li
#2286 Hiding Numerical Vectors in Local Private and Shuffled Messages
Shaowei Wang, Jin Li, Yuqiu Qian, Jiachun Du, Wenqing Lin, Wei Yang
#2303 Deep Reinforcement Learning Boosted Partial Domain Adaptation
Keyu Wu, Min Wu, Jianfei Yang, Zhenghua Chen, Zhengguo Li, Xiaoli Li
#2309 Graph-Free Knowledge Distillation for Graph Neural Networks
Xiang Deng, Zhongfei Zhang
#2310 Probabilistic Sufficient Explanations
Eric Wang, Pasha Khosravi, Guy Van den Broeck
#2326 Graph Universal Adversarial Attacks: A Few Bad Actors Ruin Graph Learning Models
Xiao Zang, Yi Xie, Jie Chen, Bo Yuan
#2328 Hierarchical Modeling of Label Dependency and Label Noise in Fine-grained Entity Typing
Junshuang Wu, Richong Zhang, Yongyi Mao, Masoumeh Soflaei Shahrbabak, Jinpeng Huai
#2330 Learning Unknown from Correlations: Graph Neural Network for Inter-novel-protein Interaction Prediction
Guofeng Lv, Zhiqiang Hu, Yanguang Bi, Shaoting Zhang
#2350 Micro-Expression Recognition Enhanced by Macro-Expression from Spatial-Temporal Domain
Bin Xia, Shangfei Wang
#2365 Fine-tuning Is Not Enough: A Simple yet Effective Watermark Removal Attack for DNN Models
Shangwei Guo, Tianwei Zhang, Han Qiu, Yi Zeng, Tao Xiang, Yang Liu
#2372 Approximating the Shapley Value Using Stratified Empirical Bernstein Sampling
Mark A. Burgess, Archie C. Chapman
#2387 Abductive Knowledge Induction from Raw Data
Wang-Zhou Dai, Stephen Muggleton
#2389 Predictive Job Scheduling under Uncertain Constraints in Cloud Computing
Hang Dong, Boshi Wang, Bo Qiao, Wenqian Xing, Chuan Luo, Si Qin, Qingwei Lin, Dongmei Zhang, Gurpreet Virdi, Thomas Moscibroda
#2395 Federated Learning with Sparsification-Amplified Privacy and Adaptive Optimization
Rui Hu, Yanmin Gong, Yuanxiong Guo
#2411 MRD-Net: Multi-Modal Residual Knowledge Distillation for Spoken Question Answering
Chenyu You, Nuo Chen, Yuexian Zou
#2432 Fast Algorithms for Relational Marginal Polytopes
Yuanhong Wang, Timothy van Bremen, Juhua Pu, Yuyi Wang, Ondrej Kuzelka
#2446 Pattern-enhanced Contrastive Policy Learning Network for Sequential Recommendation
Xiaohai Tong, Pengfei Wang, Chenliang Li, Long Xia, Shaozhang Niu
#2452 Rethinking Label-Wise Cross-Modal Retrieval from A Semantic Sharing Perspective
Yang Yang, Chubing Zhang, Yi-Chu Xu, Dianhai Yu, De-Chuan Zhan, Jian Yang
#2496 Themis: A Fair Evaluation Platform for Computer Vision Competitions
Zinuo Cai, Jianyong Yuan, Yang Hua, Tao Song, Hao Wang, Zhengui Xue, Ningxin Hu, Jonathan Ding, Ruhui Ma, Mohammad Reza Haghighat, Haibing Guan
#2499 Against Membership Inference Attack: Pruning is All You Need
Yijue Wang, Chenghong Wang, Zigeng Wang, Shanglin Zhou, Hang Liu, Jinbo Bi, Caiwen Ding, Sanguthevar Rajasekaran
#2503 Bipartite Matching for Crowd Counting with Point Supervision
Hao Liu, Qiang Zhao, Yike Ma, Feng Dai
#2540 A New Upper Bound Based on Vertex Partitioning for the Maximum K-plex Problem
Hua Jiang, Dongming Zhu, Zhichao Xie, Shaowen Yao, Zhang-Hua Fu
#2541 Online Risk-Averse Submodular Maximization
Tasuku Soma, Yuichi Yoshida
#2546 Low Resolution Information Also Matters: Learning Multi-Resolution Representations for Person Re-Identification
Guoqing Zhang, Yuhao Chen, Weisi Lin, Arun Chandran, Xuan Jing
#2547 Learning 3-D Human Pose Estimation from Catadioptric Videos
Chenchen Liu, Yongzhi Li, Kangqi Ma, Duo Zhang, Peijun Bao, Yadong Mu
#2561 Convexified Graph Neural Networks for Distributed Control in Robotic Swarms
Saar Cohen, Noa Agmon
#2566 User Retention: A Causal Approach with Triple Task Modeling
Yang Zhang, Dong Wang, Qiang Li, Yue Shen, Ziqi Liu, Xiaodong Zeng, Zhiqiang Zhang, Jinjie Gu, Derek F. Wong
#2569 CuCo: Graph Representation with Curriculum Contrastive Learning
Guanyi Chu, Xiao Wang, Chuan Shi, Xunqiang Jiang
#2571 MDNN: A Multimodal Deep Neural Network for Predicting Drug-Drug Interaction Events
Tengfei Lyu, Jianliang Gao, Ling Tian, Zhao Li, Peng Zhang, Ji Zhang
#2590 Reinforcement Learning Based Sparse Black-box Adversarial Attack on Video Recognition Models
Zeyuan Wang, Chaofeng Sha, Su Yang
#2624 Graph Edit Distance Learning via Modeling Optimum Matchings with Constraints
Yun Peng, Byron Choi, Jianliang Xu
#2627 Ordering-Based Causal Discovery with Reinforcement Learning
Xiaoqiang Wang, Yali Du, Shengyu Zhu, Liangjun Ke, Zhitang Chen, Jianye Hao, Jun Wang
#2639 Norm-guided Adaptive Visual Embedding for Zero-Shot Sketch-Based Image Retrieval
Wenjie Wang, Yufeng Shi, Shiming Chen, Qinmu Peng, Feng Zheng, Xinge You
#2642 Explaining Deep Neural Network Models with Adversarial Gradient Integration
Deng Pan, Xin Li, Dongxiao Zhu
#2665 BESA: BERT-based Simulated Annealing for Adversarial Text Attacks
Xinghao Yang, Weifeng Liu, Dacheng Tao, Wei Liu
#2666 A Structure Self-Aware Model for Discourse Parsing on Multi-Party Dialogues
Ante Wang, Linfeng Song, Hui Jiang, Shaopeng Lai, Junfeng Yao, Min Zhang, Jinsong Su
#2672 DeepME: Deep Mixture Experts for Large-scale Image Classification
Ming He, Guangyi Lv, Weidong He, Jianping Fan, Guihua Zeng
#2674 Improving Stylized Neural Machine Translation with Iterative Dual Knowledge Transfer
Xuanxuan Wu, Jian Liu, Xinjie Li, Jinan Xu, Yufeng Chen, Yujie Zhang, Hui Huang
#2689 Time-Series Representation Learning via Temporal and Contextual Contrasting
Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li, Cuntai Guan
#2708 Knowledge Consolidation based Class Incremental Online Learning with Limited Data
Mohammed Asad Karim, Vinay Kumar Verma, Pravendra Singh, Vinay Namboodiri, Piyush Rai
#2728 SHPOS: A Theoretical Guaranteed Accelerated Particle Optimization Sampling Method
Zhijian Li, Chao Zhang, Hui Qian, Xin Du, Lingwei Peng
#2733 Dynamic Proportional Rankings
Jonas Israel, Markus Brill
#2741 Dependent Multi-Task Learning with Causal Intervention for Image Captioning
Wenqing Chen, Jidong Tian, Caoyun Fan, Hao He, Yaohui Jin
#2754 TANGO: Commonsense Generalization in Predicting Tool Interactions for Mobile Manipulators
Shreshth Tuli, Rajas Bansal, Rohan Paul, Mausam
#2759 Masked Label Prediction: Unified Message Passing Model for Semi-Supervised Classification
Yunsheng Shi, Zhengjie Huang, Shikun Feng, Hui Zhong, Wenjing Wang, Yu Sun
#2778 Non-parametric stochastic sequential assignment with random arrival times
Danial Dervovic, Parisa Hassanzadeh, Samuel Assefa, Prashant Reddy
#2781 Majority Vote in Social Networks: Make Random Friends or Be Stubborn to Overpower Elites
Charlotte Out, Ahad N. Zehmakan
#2799 GraphMI: Extracting Private Graph Data from Graph Neural Networks
Zaixi Zhang, Qi Liu, Zhenya Huang, Hao Wang, Chengqiang Lu, Chuanren Liu, Enhong Chen
#2808 DACBench: A Benchmark Library for Dynamic Algorithm Configuration
Theresa Eimer, André Biedenkapp, Maximilian Reimer, Steven Adriansen, Frank Hutter, Marius Lindauer
#2809 Towards Robust Model Reuse in the Presence of Latent Domains
Jie-Jing Shao, Zhanzhan Cheng, Yu-Feng Li, Shiliang Pu
#2838 Fractional Matchings under Preferences: Stability and Optimality
Jiehua Chen, Sanjukta Roy, Manuel Sorge
#2843 Abductive Learning with Ground Knowledge Base
Le-Wen Cai, Wang-Zhou Dai, Yu-Xuan Huang, Yu-Feng Li, Stephen Muggleton, Yuan Jiang
#2855 Removing Foreground Occlusions in Light Field using Micro-lens Dynamic Filter
Shuo Zhang, Zeqi Shen, Youfang Lin
#2860 Actively Learning Concepts and Conjunctive Queries under ELr-Ontologies
Maurice Funk, Jean Christoph Jung, Carsten Lutz
#2866 Boundary Knowledge Translation based Reference Semantic Segmentation
Lechao Cheng, Zunlei Feng, Xinchao Wang, Ya Jie Liu, Jie Lei, Mingli Song
#2888 Efficiently Explaining CSPs with Unsatisfiable Subset Optimization
Emilio Gamba, Bart Bogaerts, Tias Guns
#2894 Adversarial Spectral Kernel Matching for Unsupervised Time Series Domain Adaptation
Qiao Liu, Hui Xue
#2907 The Parameterized Complexity of Connected Fair Division
Argyrios Deligkas, Eduard Eiben, Robert Ganian, Thekla Hamm, Sebastian Ordyniak
#2909 Node-wise Localization of Graph Neural Networks
Zemin Liu, Yuan Fang, Chenghao Liu, Steven C.H. Hoi
#2919 Sensitivity Direction Learning with Neural Networks Using Domain Knowledge as Soft Shape Constraints
Kazuyuki Wakasugi
#2931 Rethink the Connections among Generalization, Memorization, and the Spectral Bias of DNNs
Xiao Zhang, Haoyi Xiong, Dongrui Wu
#2953 AgeFlow: Conditional Age Progression and Regression with Normalizing Flows
Zhizhong Huang, Shouzhen Chen, Junping Zhang, Hongming Shan
#2963 Learning with Selective Forgetting
Takashi Shibata, Go Irie, Daiki Ikami, Yu Mitsuzumi
#2970 Two Birds with One Stone: Series Saliency for Accurate and Interpretable Multivariate Time Series Forecasting
Qingyi Pan, Wenbo Hu, Ning Chen
#2976 On Explaining Random Forests with SAT
Yacine Izza, Joao Marques-Silva
#2981 Boosting Offline Reinforcement Learning with Residual Generative Modeling
Hua Wei, Deheng Ye, Zhao Liu, Hao Wu, Bo Yuan, Qiang Fu, Wei Yang, Zhenhui Li
#2985 Type Anywhere You Want: An Introduction to Invisible Mobile Keyboard
Sahng-Min Yoo, Ue-Hwan Kim, Yewon Hwang, Jong-Hwan Kim
#2990 Focus on Interaction: A Novel Dynamic Graph Model for Joint Multiple Intent Detection and Slot Filling
Zeyuan Ding, Zhihao Yang, Hongfei Lin, Jian Wang
#3004 Robustly Learning Composable Options in Deep Reinforcement Learning
Akhil Bagaria, Jason Senthil, Matthew Slivinski, George Konidaris
#3015 Strategyproof Randomized Social Choice for Restricted Sets of Utility Functions
Patrick Lederer
#3016 RetCL: A Selection-based Approach for Retrosynthesis via Contrastive Learning
Hankook Lee, Sungsoo Ahn, Seung-Woo Seo, You Young Song, Eunho Yang, Sung Ju Hwang, Jinwoo Shin
#3017 Learning Within an Instance for Designing High-Revenue Combinatorial Auctions
Maria-Florina Balcan, Siddharth Prasad, Tuomas Sandholm
#3019 Self-Supervised Video Action Localization with Adversarial Temporal Transforms
Guoqiang Gong, Liangfeng Zheng, Wenhao Jiang, Yadong Mu
#3020 Adaptive Edge Attention for Graph Matching with Outliers
Jingwei Qu, Haibin Ling, Chenrui Zhang, Xiaoqing Lyu, Zhi Tang
#3031 Learning Temporal Plan Preferences from Examples: An Empirical Study
Valentin Seimetz, Rebecca Eifler, Jörg Hoffmann
#3061 Learning CNF Theories Using MDL and Predicate Invention
Arcchit Jain, Clément Gautrais, Angelika Kimmig, Luc De Raedt
#3089 Addressing the Long-term Impact of ML Decisions via Policy Regret
David Lindner, Hoda Heidari, Andreas Krause
#3094 Multi-Agent Intention Progression with Black-Box Agents
Michael Dann, Yuan Yao, Brian Logan, John Thangarajah
#3097 A Description Logic for Analogical Reasoning
Steven Schockaert, Yazmin Ibanez-Garcia, Victor Gutierrez-Basulto
#3099 Discrete Multiple Kernel k-means
Rong Wang, Jitao Lu, Yihang Lu, Feiping Nie, Xuelong Li
#3100 Provable Guarantees on the Robustness of Decision Rules to Causal Interventions
Benjie Wang, Clare Lyle, Marta Kwiatkowska
#3101 Fairness in Long-Term Participatory Budgeting
Martin Lackner, Jan Maly, Simon Rey
#3104 Unsupervised Path Representation Learning with Curriculum Negative Sampling
Sean Bin Yang, Chenjuan Guo, Jilin Hu, Jian Tang, Bin Yang
#3112 On Cycles, Attackers and Supporters --- A Contribution to The Investigation of Dynamics in Abstract Argumentation
Ringo Baumann, Markus Ulbricht
#3131 Faster Guarantees of Evolutionary Algorithms for Maximization of Monotone Submodular Functions
Victoria G. Crawford
#3140 Two-Stage Facility Location Games with Strategic Clients and Facilities
Simon Krogmann, Pascal Lenzner, Louise Molitor, Alexander Skopalik
#3144 Combining Tree Search and Action Prediction for State-of-the-Art Performance in DouDiZhu
Yunsheng Zhang, Dong Yan, Bei Shi, Haobo Fu, Qiang Fu, Hang Su, Jun Zhu, Ning Chen
#3146 Relational Gating for ''What If'' Reasoning
Chen Zheng, Parisa Kordjamshidi
#3150 Mean Field Games Flock! The Reinforcement Learning Way
Sarah Perrin, Mathieu Laurière, Julien Pérolat, Matthieu Geist, Romuald Élie, Olivier Pietquin
#3161 Multi-Agent Belief Base Revision
Emiliano Lorini, Francois Schwarzentruber
#3163 Two Influence Maximization Games on Graphs Made Temporal
Niclas Boehmer, Vincent Froese, Julia Henkel, Yvonne Lasars, Rolf Niedermeier, Malte Renken
#3170 Physics-informed Spline Learning for Nonlinear Dynamics Discovery
Fangzheng Sun, Yang Liu, Hao Sun
#3175 Reducing SAT to Max2SAT
Carlos Ansótegui, Jordi Levy
#3182 BOBCAT: Bilevel Optimization-Based Computerized Adaptive Testing
Aritra Ghosh, Andrew Lan
#3198 Phonovisual Biases in Language: is the Lexicon Tied to the Visual World?
Andrea Gregor de Varda, Carlo Strapparava
#3199 Towards Understanding the Spectral Bias of Deep Learning
Yuan Cao, Zhiying Fang, Yue Wu, Ding-Xuan Zhou, Quanquan Gu
#3212 On Guaranteed Optimal Robust Explanations for NLP Models
Emanuele La Malfa, Rhiannon Michelmore, Agnieszka M. Zbrzezny, Nicola Paoletti, Marta Kwiatkowska
#3221 DEEPSPLIT: An Efficient Splitting Method for Neural Network Verification via Indirect Effect Analysis
Patrick Henriksen, Alessio Lomuscio
#3223 Reasoning About Agents That May Know Other Agents’ Strategies
Francesco Belardinelli, Sophia Knight, Alessio Lomuscio, Bastien Maubert, Aniello Murano, Sasha Rubin
#3239 Tango: Declarative Semantics for Multiagent Communication Protocols
Munindar P. Singh, Samuel H. Christie V.
#3248 Point-based Acoustic Scattering for Interactive Sound Propagation via Surface Encoding
Hsien-Yu Meng, Zhenyu Tang, Dinesh Manocha
#3251 Method of Moments for Topic Models with Mixed Discrete and Continuous Features
Joachim Giesen, Paul Kahlmeyer, Sören Laue, Matthias Mitterreiter, Frank Nussbaum, Christoph Staudt, Sina Zarrieß
#3258 Handling Overlaps When Lifting Gaussian Bayesian Networks
Mattis Hartwig, Tanya Braun, Ralf Möller
#3263 LDP-FL: Practical Private Aggregation in Federated Learning with Local Differential Privacy
Lichao Sun, Jianwei Qian, Xun Chen
#3265 Lifting Symmetry Breaking Constraints with Inductive Logic Programming
Alice Tarzariol, Martin Gebser, Konstantin Schekotihin
#3277 Participatory Budgeting with Project Groups
Pallavi Jain, Krzysztof Sornat, Nimrod Talmon, Meirav Zehavi
#3278 Meta-Reinforcement Learning by Tracking Task Non-stationarity
Riccardo Poiani, Andrea Tirinzoni, Marcello Restelli
#3279 Deep Bucket Elimination
Yasaman Razeghi, Kalev Kask, Yadong Lu, Pierre Baldi, Sakshi Agarwal, Rina Dechter
#3284 Compositional Neural Logic Programming
Son Tran
#3316 Identifying Norms from Observation Using MCMC Sampling
Stephen Cranefield, Ashish Dhiman
#3330 Reducing Bus Bunching with Asynchronous Multi-Agent Reinforcement Learning
Jiawei Wang, Lijun Sun
#3331 Evaluating Relaxations of Logic for Neural Networks: A Comprehensive Study
Mattia Medina Grespan, Ashim Gupta, Vivek Srikumar
#3344 Solving Math Word Problems with Teacher Supervision
Zhenwen Liang, Xiangliang Zhang
#3345 Generative Adversarial Neural Architecture Search
Seyed Saeed Changiz Rezaei, Fred X. Han, Di Niu, Mohammad Salameh, Keith Mills, Shuo Lian, Wei Lu, Shangling Jui
#3349 Multi-hop Attention Graph Neural Networks
Guangtao Wang, Rex Ying, Jing Huang, Jure Leskovec
#3354 Variational Model-based Policy Optimization
Yinlam Chow, Brandon Cui, Moonkyung Ryu, Mohammad Ghavamzadeh
#3355 Non-decreasing Quantile Function Network with Efficient Exploration for Distributional Reinforcement Learning
Fan Zhou, Zhoufan Zhu, Qi Kuang, Liwen Zhang
#3357 RCA: A Deep Collaborative Autoencoder Approach for Anomaly Detection
Boyang Liu, Ding Wang, Kaixiang Lin, Pang-Ning Tan, Jiayu Zhou
#3395 Characteristic Examples: High-Robustness, Low-Transferability Fingerprinting of Neural Networks
Siyue Wang, Xiao Wang, Pin-Yu Chen, Pu Zhao, Xue Lin
#3411 UniMF: A Unified Framework to Incorporate Multimodal Knowledge Bases intoEnd-to-End Task-Oriented Dialogue Systems
Shiquan Yang, Rui Zhang, Sarah M. Erfani, Jey Han Lau
#3422 Kemeny Consensus Complexity
Zack Fitzsimmons, Edith Hemaspaandra
#3428 Rescuing Deep Hashing from Dead Bits Problem
Shu Zhao, Dayan Wu, Yucan Zhou, Bo Li, Weiping Wang
#3485 Practical One-Shot Federated Learning for Cross-Silo Setting
Qinbin Li, Bingsheng He, Dawn Song
#3496 Perturb, Predict & Paraphrase: Semi-Supervised Learning using Noisy Student for Image Captioning
Arjit Jain, Pranay Reddy Samala, Preethi Jyothi, Deepak Mittal, Maneesh Singh
#3537 Self-Supervised Video Representation Learning with Constrained Spatiotemporal Jigsaw
Yuqi Huo, Mingyu Ding, Haoyu Lu, Ziyuan Huang, Mingqian Tang, Zhiwu Lu, Tao Xiang
#3550 Data-Driven Methods for Balancing Fairness and Efficiency in Ride-Pooling
Naveen Raman, Sanket Shah, John Dickerson
#3572 GraphReach: Position-Aware Graph Neural Network using Reachability Estimations
Sunil Nishad, Shubhangi Agarwal, Arnab Bhattacharya, Sayan Ranu
#3580 Understanding the Effect of Bias in Deep Anomaly Detection
Ziyu Ye, Yuxin Chen, Haitao Zheng
#3627 PoseGTAC: Graph Transformer Encoder-Decoder with Atrous Convolution for 3D Human Pose Estimation
Yiran Zhu, Xing Xu, Fumin Shen, Yanli Ji, Lianli Gao, Heng Tao Shen
#3644 Keep the Structure: A Latent Shift-Reduce Parser for Semantic Parsing
Yuntao Li, Bei Chen, Qian Liu, Yan Gao, Jian-Guang Lou, Yan Zhang, Dongmei Zhang
#3647 Keep Your Distance: Land Division With Separation
Edith Elkind, Erel Segal-Halevi, Warut Suksompong
#3690 Closing the BIG-LID: An Effective Local Intrinsic Dimensionality Defense for Nonlinear Regression Poisoning
Sandamal Weerasinghe, Tamas Abraham, Tansu Alpcan, Sarah M. Erfani, Christopher Leckie, Benjamin I. P. Rubinstein
#3694 Program Synthesis as Dependency Quantified Formula Modulo Theory
Priyanka Golia, Subhajit Roy, Kuldeep S. Meel
#3702 Compressing Exact Cover Problems with Zero-suppressed Binary Decision Diagrams
Masaaki Nishino, Norihito Yasuda, Kengo Nakamura
#3703 Exact Acceleration of K-Means++ and K-Means||
Edward Raff
#3713 Anytime Multi-Agent Path Finding via Large Neighborhood Search
Jiaoyang Li, Zhe Chen, Daniel Harabor, Peter J. Stuckey, Sven Koenig
#3714 SPADE: A Semi-supervised Probabilistic Approach for Detecting Errors in Tables
Minh Pham, Craig A. Knoblock, Muhao Chen, Binh Vu, Jay Pujara
#3715 Average-Reward Reinforcement Learning with Trust Region Methods
Xiaoteng Ma, Xiaohang Tang, Li Xia, Jun Yang, Qianchuan Zhao
#3726 Cross-Domain Slot Filling as Machine Reading Comprehension
Mengshi Yu, Jian Liu, Yufeng Chen, Jinan Xu, Yujie Zhang
#3738 Epsilon Best Arm Identification in Spectral Bandits
Tomáš Kocák, Aurélien Garivier
#3746 Unsupervised Knowledge Graph Alignment by Probabilistic Reasoning and Semantic Embedding
Zhiyuan Qi, Ziheng Zhang, Jiaoyan Chen, Xi Chen, Yuejia Xiang, Ningyu Zhang, Yefeng Zheng
#3749 Human-AI Collaboration with Bandit Feedback
Ruijiang Gao, Maytal Saar-Tsechansky, Maria De-Arteaga, Ligong Han, Min Kyung Lee, Matthew Lease
#3753 Hierarchical Adaptive Temporal-Relational Modeling for Stock Trend Prediction
Heyuan Wang, Shun Li, Tengjiao Wang, Jiayi Zheng
#3755 MapGo: Model-Assisted Policy Optimization for Goal-Oriented Tasks
Menghui Zhu, Minghuan Liu, Jian Shen, Zhicheng Zhang, Sheng Chen, Weinan Zhang, Deheng Ye, Yong Yu, Qiang Fu, Wei Yang
#3761 H-FL: A Hierarchical Communication-Efficient and Privacy-Protected Architecture for Federated Learning
He Yang
#3776 Multi-Target Invisibly Trojaned Networks for Visual Recognition and Detection
Xinzhe Zhou, Wenhao Jiang, Sheng Qi, Yadong Mu
#3780 Decomposition-Guided Reductions for Argumentation and Treewidth
Johannes Fichte, Markus Hecher, Yasir Mahmood, Arne Meier
#3788 Adversarial Feature Disentanglement for Long-Term Person Re-identification
Wanlu Xu, Hong Liu, Wei Shi, Ziling Miao, Zhisheng Lu, Feihu Chen
#3797 Solving Large-Scale Extensive-Form Network Security Games via Neural Fictitious Self-Play
Wanqi Xue, Youzhi Zhang, Shuxin Li, Xinrun Wang, Bo An, Chai Kiat Yeo
#3809 Modality-aware Style Adaptation for RGB-Infrared Person Re-Identification
Ziling Miao, Hong Liu, Wei Shi, Wanlu Xu, Hanrong Ye
#3826 Signature-Based Abduction with Fresh Individuals and Complex Concepts for Description Logics
Patrick Koopmann
#3832 Physics-aware Spatiotemporal Modules with Auxiliary Tasks for Meta-Learning
Sungyong Seo, Chuizheng Meng, Sirisha Rambhatla, Yan Liu
#3845 Graph Deformer Network
Wenting Zhao, Yuan Fang, Zhen Cui, Tong Zhang, Jian Yang
#3851 Correlation-Guided Representation for Multi-Label Text Classification
Qian-Wen Zhang, Ximing Zhang, Zhao Yan, Ruifang Liu, Yunbo Cao, Min-Ling Zhang
#3858 Consistent Inference for Dialogue Relation Extraction
Xinwei Long, Shuzi Niu, Yucheng Li
#3894 Learning Deeper Non-Monotonic Networks by Softly Transferring Solution Space
Zheng-Fan Wu, Hui Xue, Weimin Bai
#3927 A Polynomial-time, Truthful, Individually Rational and Budget Balanced Ridesharing Mechanism
Tatsuya Iwase, Sebastian Stein, Enrico H. Gerding
#3976 Knowledge-based Residual Learning
Guanjie Zheng, Chang Liu, Hua Wei, Porter Jenkins, Chacha Chen, Tao Wen, Zhenhui Li
#3977 Neural Architecture Search of SPD Manifold Networks
Rhea Sanjay Sukthanker, Zhiwu Huang, Suryansh Kumar, Erik Goron Endsjo, Yan Wu, Luc Van Gool
#3981 Look Wide and Interpret Twice: Improving Performance on Interactive Instruction-following Tasks
Van-Quang Nguyen, Masanori Suganuma, Takayuki Okatani
#4000 Objective-aware Traffic Simulation via Inverse Reinforcement Learning
Guanjie Zheng, Hanyang Liu, Kai Xu, Zhenhui Li
#4006 Behavior Mimics Distribution: Combining Individual and Group Behaviors for Federated Learning
Hua Huang, Fanhua Shang, Yuanyuan Liu, Hongying Liu
#4073 Exemplification Modeling: Can You Give Me an Example, Please?
Edoardo Barba, Luigi Procopio, Caterina Lacerra, Tommaso Pasini, Roberto Navigli
#4094 MultiMirror: Neural Cross-lingual Word Alignment for Multilingual Word Sense Disambiguation
Luigi Procopio, Edoardo Barba, Federico Martelli, Roberto Navigli
#4097 ALaSca: an Automated approach for Large-Scale Lexical Substitution
Caterina Lacerra, Tommaso Pasini, Rocco Tripodi, Roberto Navigli
#4098 CFR-MIX: Solving Imperfect Information Extensive-Form Games with Combinatorial Action Space
Shuxin Li, Youzhi Zhang, Xinrun Wang, Wanqi Xue, Bo An
#4112 Improving Sequential Recommendation Consistency with Self-Supervised Imitation
Xu Yuan, Hongshen Chen, Yonghao Song, Xiaofang Zhao, Zhuoye Ding
#4119 AutoReCon: Neural Architecture Search-based Reconstruction for Data-free Compression
Baozhou Zhu, Peter Hofstee, Johan Peltenburg, Jinho Lee, Zaid Alars
#4129 Reasoning over Argument-Incomplete AAFs in the Presence of Correlations
Bettina Fazzinga, Sergio Flesca, Filippo Furfaro
#4135 Regularizing Variational Autoencoder with Diversity and Uncertainty Awareness
Dazhong Shen, Chuan Qin, Chao Wang, Hengshu Zhu, Enhong Chen, Hui Xiong
#4136 Guided Attention Network for Concept Extraction
Songtao Fang, Zhenya Huang, Ming He, Shiwei Tong, Xiaoqing Huang, Ye Liu, Jie Huang, Qi Liu
#4150 Self-Guided Community Detection on Networks with Missing Edges
Dongxiao He, Shuai Li, Di Jin, Pengfei Jiao, Yuxiao Huang
#4155 Fine-grained Generalization Analysis of Structured Output Prediction
Waleed Mustafa, Yunwen Lei, Antoine Ledent, Marius Kloft
#4161 Learning Class-Transductive Intent Representations for Zero-shot Intent Detection
Qingyi Si, Yuanxin Liu, Peng Fu, Zheng Lin, Jiangnan Li, Weiping Wang
#4174 Scalable Non-observational Predicate Learning in ASP
Mark Law, Alessandra Russo, Krysia Broda, Elisa Bertino
#4190 Minimization of Limit-Average Automata
Jakub Michaliszyn, Jan Otop
#4211 Laughing Heads: Can Transformers Detect What Makes a Sentence Funny?
Maxime Peyrard, Beatriz Borges, Kristina Gligorić, Robert West
#4217 Positive-Unlabeled Learning from Imbalanced Data
Guangxin Su, Weitong Chen, Miao Xu
#4221 Winner Robustness via Swap- and Shift-Bribery: Parameterized Counting Complexity and Experiments
Niclas Boehmer, Robert Bredereck, Piotr Faliszewski, Rolf Niedermeier
#4222 A Ladder of Causal Distances
Maxime Peyrard, Robert West
#4234 Exploring Periodicity and Interactivity in Multi-Interest Framework for Sequential Recommendation
Gaode Chen, Xinghua Zhang, Yanyan Zhao, Cong Xue, Ji Xiang
#4267 MFVFD: A Multi-Agent Q-Learning Approach to Cooperative and Non-Cooperative Tasks
Tianhao Zhang, Qiwei Ye, Jiang Bian, Guangming Xie, Tie-Yan Liu
#4273 Online Learning of Action Models for PDDL Planning
Leonardo Lamanna, Alessandro Saetti, Luciano Serafini, Alfonso Gerevini, Paolo Traverso
#4302 Fast Multi-label Learning
Xiuwen Gong, Dong Yuan, Wei Bao
#4305 CSGNN: Contrastive Self-Supervised Graph Neural Network for Molecular Interaction Prediction
Chengshuai Zhao, Shuai Liu, Feng Huang, Shichao Liu, Wen Zhang
#4308 A Sequence-to-Set Network for Nested Named Entity Recognition
Zeqi Tan, Yongliang Shen, Shuai Zhang, Weiming Lu, Yueting Zhuang
#4323 Traffic Congestion Alleviation over Dynamic Road Networks: Continuous Optimal Route Combination for Trip Query Streams
Ke Li, Lisi Chen, Shuo Shang, Panos Kalnis, Bin Yao
#4331 Item Response Ranking for Cognitive Diagnosis
Shiwei Tong, Qi Liu, Runlong Yu, Wei Huang, Zhenya Huang, Zachary A. Pardos, Weijie Jiang
#4339 Optimal Algorithms for Range Searching over Multi-Armed Bandits
Siddharth Barman, Ramakrishnan Krishnamurthy, Saladi Rahul
#4341 Unsupervised Hashing with Contrastive Information Bottleneck
Zexuan Qiu, Qinliang Su, Zijing Ou, Jianxing Yu, Changyou Chen
#4350 Learning Stochastic Equivalence based on Discrete Ricci Curvature
Xuan Guo, Qiang Tian, Wang Zhang, Wenjun Wang, Pengfei Jiao
#4377 Hierarchical Object-oriented Spatio-Temporal Reasoning for Video Question Answering
Long Hoang Dang, Thao Minh Le, Vuong Le, Truyen Tran
#4378 Context-Aware Image Inpainting with Learned Semantic Priors
Wendong Zhang, Junwei Zhu, Ying Tai, Yunbo Wang, Wenqing Chu, Bingbing Ni, Chengjie Wang, Xiaokang Yang
#4399 Comparing Kullback-Leibler Divergence and Mean Squared Error Loss in Knowledge Distillation
Taehyeon Kim, Jaehoon Oh, Nak Yil Kim, Sangwook Cho, Se-Young Yun
#4411 BKT-POMDP: Fast Action Selection for User Skill Modelling over Tasks with Multiple Skills
Nicole Salomons, Emir Akdere, Brian Scassellati
#4417 Learning Aggregation Functions
Giovanni Pellegrini, Alessandro Tibo, Paolo Frasconi, Andrea Passerini, Manfred Jaeger
#4425 Multimodal Transformer Networks for Pedestrian Trajectory Prediction
Ziyi Yin, Ruijin Liu, Zhiliang Xiong, Zejian Yuan
#4444 HyperLDLf: a Logic for Checking Properties of Finite Traces Process Logs
Giuseppe De Giacomo, Paolo Felli, Marco Montali, Giuseppe Perelli
#4464 Combining Fairness and Optimality when Selecting and Allocating Projects
Khaled Belahcène, Vincent Mousseau, Anaëlle Wilczynski
#4466 HifiFace: 3D Shape and Semantic Prior Guided High Fidelity Face Swapping
Yuhan Wang, Xu Chen, Junwei Zhu, Wenqing Chu, Ying Tai, Chengjie Wang, Jilin Li, Yongjian Wu, Feiyue Huang, Rongrong Ji
#4471 Progressive Open-Domain Response Generation with Multiple Controllable Attributes
Haiqin Yang, Xiaoyuan Yao, Yiqun Duan, Jianping Shen, Jie Zhong, Kun Zhang
#4477 Few-Shot Partial-Label Learning
Yunfeng Zhao, Guoxian Yu, Lei Liu, Zhongmin Yan, Lizhen Cui, Carlotta Domeniconi
#4483 Intensional and Extensional Views in DL-Lite Ontologies
Marco Console, Giuseppe De Giacomo, Maurizio Lenzerini, Manuel Namici
#4506 On the Parameterized Complexity of Polytree Learning
Niels Grüttemeier, Christian Komusiewicz, Nils Morawietz
#4518 Monte Carlo Filtering Objectives
Shuangshuang Chen, Sihao Ding, Yiannis Karayiannidis, Mårten Björkman
#4524 GASP: Gated Attention for Saliency Prediction
Fares Abawi, Tom Weber, Stefan Wermter
#4538 The Surprising Power of Graph Neural Networks with Random Node Initialization
Ralph Abboud, İsmail İlkan Ceylan, Martin Grohe, Thomas Lukasiewicz
#4543 Transforming Robotic Plans with Timed Automata to Solve Temporal Platform Constraints
Tarik Viehmann, Till Hofmann, Gerhard Lakemeyer
#4561 Multi-Channel Pooling Graph Neural Networks
Jinlong Du, Senzhang Wang, Hao Miao, Jiaqiang Zhang
#4603 Model-Based Reinforcement Learning for Infinite-Horizon Discounted Constrained Markov Decision Processes
Aria HasanzadeZonuzy, Dileep Kalathil, Srinivas Shakkottai
#4614 A Streaming End-to-End Framework For Spoken Language Understanding
Nihal Potdar, Anderson Raymundo Avila, Chao Xing, Dong Wang, Yiran Cao, Xiao Chen
#4621 Manipulation of k-Coalitional Games on Social Networks
Naftali Waxman, Sarit Kraus, Noam Hazon
#4631 Learning Nash Equilibria in Zero-Sum Stochastic Games via Entropy-Regularized Policy Approximation
Yue Guan, Qifan Zhang, Panagiotis Tsiotras
#4641 Learning Generalized Unsolvability Heuristics for Classical Planning
Simon Ståhlberg, Guillem Francès, Jendrik Seipp
#4643 Temporal Induced Self-Play for Stochastic Bayesian Games
Weizhe Chen, Zihan Zhou, Yi Wu, Fei Fang
#4654 Real-Time Pricing Optimization for Ride-Hailing Quality of Service
Enpeng Yuan, Pascal Van Hentenryck
#4655 Learning Interpretable Concept Groups in CNNs
Saurabh Varshneya, Antoine Ledent, Robert A. Vandermeulen, Yunwen Lei, Matthias Enders, Damian Borth, Marius Kloft
#4663 Polynomial-Time in PDDL Input Size: Making the Delete Relaxation Feasible for Lifted Planning
Pascal Lauer, Alvaro Torralba, Daniel Fišer, Daniel Höller, Julia Wichlacz, Jörg Hoffmann
#4681 Counterfactual Explanations for Optimization-Based Decisions in the Context of the GDPR
Anton Korikov, Alexander Shleyfman, J. Christopher Beck
#4688 Custom-Design of FDR Encodings: The Case of Red-Black Planning
Daniel Fišer, Daniel Gnad, Michael Katz, Jörg Hoffmann
#4693 Modelling General Properties of Nouns by Selectively Averaging Contextualised Embeddings
Na Li, Zied Bouraoui, Jose Camacho-Collados, Luis Espinosa-Anke, Qing Gu, Steven Schockaert
#4698 Loyalty in Cardinal Hedonic Games
Martin Bullinger, Stefan Kober
#4702 Thompson Sampling for Bandits with Clustered Arms
Emil Carlsson, Devdatt Dubhashi, Fredrik D. Johansson
#4706 State-Based Recurrent SPMNs for Decision-Theoretic Planning under Partial Observability
Layton Hayes, Prashant Doshi, Swaraj Pawar, Hari Teja Tatavarti
#4713 How Hard to Tell? Complexity of Belief Manipulation Through Propositional Announcements
Thomas Eiter, Aaron Hunter, Francois Schwarzentruber
#4722 DEHB: Evolutionary Hyberband for Scalable, Robust and Efficient Hyperparameter Optimization
Noor Awad, Neeratyoy Mallik, Frank Hutter
#4726 Solving Graph Homomorphism and Subgraph Isomorphism Problems Faster Through Clique Neighbourhood Constraints
Sonja Kraiczy, Ciaran McCreesh
#4731 SalientSleepNet: Multimodal Salient Wave Detection Network for Sleep Staging
Ziyu Jia, Youfang Lin, Jing Wang, Xuehui Wang, Peiyi Xie, Yingbin Zhang
#4737 Distance Polymatrix Coordination Games
Alessandro Aloisio, Michele Flammini, Bojana Kodric, Cosimo Vinci
#4748 Emergent Prosociality in Multi-Agent Games Through Gifting
Woodrow Z. Wang, Mark Beliaev, Erdem Bıyık, Daniel A. Lazar, Ramtin Pedarsani, Dorsa Sadigh
#4756 Even More Effort Towards Improved Bounds and Fixed-Parameter Tractability for Multiwinner Rules
Sushmita Gupta, Pallavi Jain, Saket Saurabh, Nimrod Talmon
#4764 Type-WA*: Using Exploration in Bounded Suboptimal Planning
Eldan Cohen, Richard Valenzano, Sheila McIlraith
#4780 The Fewer the Merrier: Pruning Preferred Operators with Novelty
Alexander Tuisov, Michael Katz
#4800 A Game-Theoretic Account of Responsibility Allocation
Christel Baier, Florian Funke, Rupak Majumdar
#4810 Heuristic Search for Approximating One Matrix in Terms of Another Matrix
Guihong Wan, Haim Schweitzer
#4817 Using Platform Models for a Guided Explanatory Diagnosis Generation for Mobile Robots
Daniel Habering, Till Hofmann, Gerhard Lakemeyer
#4824 On Smoother Attributions using Neural Stochastic Differential Equations
Sumit Jha, Rickard Ewetz, Alvaro Velasquez, Susmit Jha
#4837 Verifying Reinforcement Learning up to Infinity
Edoardo Bacci, Mirco Giacobbe, David Parker
#4854 Learning Groupwise Explanations for Black-Box Models
Jingyue Gao, Xiting Wang, Yasha Wang, Yulan Yan, Xing Xie
#4866 Generating Senses and RoLes: An End-to-End Model for Dependency- and Span-based Semantic Role Labeling
Rexhina Blloshmi, Simone Conia, Rocco Tripodi, Roberto Navigli
#4867 Multi-level Generative Models for Partial Label Learning with Non-random Label Noise
Yan Yan, Yuhong Guo
#4877 Interference-free Walks in Time: Temporally Disjoint Paths
Nina Klobas, George B. Mertzios, Hendrik Molter, Rolf Niedermeier, Philipp Zschoche
#4880 Multi-Agent Abstract Argumentation Frameworks With Incomplete Knowledge of Attacks
Andreas Herzig, Antonio Yuste Ginel
#4882 Two-Sided Wasserstein Procrustes Analysis
Kun Jin, Chaoyue Liu, Cathy Xia
#4885 Reconciling Rewards with Predictive State Representations
Andrea Baisero, Christopher Amato
#4890 Solving Partially Observable Stochastic Shortest-Path Games
Petr Tomášek, Karel Horák, Aditya Aradhye, Branislav Bošanský, Krishnendu Chatterjee
#4893 Residential Electric Load Forecasting via Attentive Transfer of Graph Neural Networks
Weixuan Lin, Di Wu
#4898 Bounded Predicates in Description Logics with Counting
Sanja Lukumbuzya, Mantas Simkus
#4902 Winner Determination and Strategic Control in Conditional Approval Voting
Evangelos Markakis, Georgios Papasotiropoulos
#4918 A Rule Mining-based Advanced Persistent Threats Detection System
Sidahmed Benabderrahmane, Ghita Berrada, James Cheney, Petko Valtchev
#4943 ME-MCTS: Online Generalization by Combining Multiple Value Estimators
Hendrik Baier, Michael Kaisers
#4949 Towards Scalable Complete Verification of Relu Neural Networks via Dependency-based Branching
Panagiotis Kouvaros, Alessio Lomuscio
#4951 Surprisingly Popular Voting Recovers Rankings, Surprisingly!
Hadi Hosseini, Debmalya Mandal, Nisarg Shah, Kevin Shi
#4956 Efficient Neural Network Verification via Layer-based Semidefinite Relaxations and Linear Cuts
Ben Batten, Panagiotis Kouvaros, Alessio Lomuscio, Yang Zheng
#4957 Fair and Efficient Resource Allocation with Partial Information
Daniel Halpern, Nisarg Shah
#4960 Two-Sided Matching Meets Fair Division
Rupert Freeman, Evi Micha, Nisarg Shah
#4975 Multi-series Time-aware Sequence Partitioning for Disease Progression Modeling
Xi Yang, Yuan Zhang, Min Chi
#4976 Simulation of Electron-Proton Scattering Events by a Feature-Augmented and Transformed Generative Adversarial Network (FAT-GAN)
Yasir Alanazi, Nobuo Sato, Tianbo Liu, Wally Melnitchouk, Pawel Ambrozewicz, Florian Hauenstein, Michelle P. Kuchera, Evan Pritchard, Michael Robertson, Ryan Strauss, Luisa Velasco, Yaohang Li
#4978 Putting a Compass on the Map of Elections
Niclas Boehmer, Robert Bredereck, Piotr Faliszewski, Rolf Niedermeier, Stanisław Szufa
#4985 Jointly Learning Prices and Product Features
Ehsan Emamjomeh-Zadeh, Renato Paes Leme, Jon Schneider, Balasubramanian Sivan
#4989 A Clustering-based framework for Classifying Data Streams
Xuyang Yan, Abdollah Homaifar, Mrinmoy Sarkar, Abenezer Girma, Edward Tunstel
#4990 Toward Optimal Solution for the Context-Attentive Bandit Problem
Djallel Bouneffouf, Raphael Feraud, Sohini Upadhyay, Irina Rish, Yasaman Khazaeni
#5001 Solving Continuous Control with Episodic Memory
Igor Kuznetsov, Andrey Filchenkov
#5009 Interpretable Minority Synthesis for Imbalanced Classification
Yi He, Fudong Lin, Xu Yuan, Nian-Feng Tzeng
#5028 Reinforcement Learning for Sparse-Reward Object-Interaction Tasks in a First-person Simulated 3D Environment
Wilka Carvalho, Anthony Liang, Kimin Lee, Sungryull Sohn, Honglak Lee, Richard Lewis, Satinder Singh
#5029 LTL-Constrained Steady-State Policy Synthesis
Jan Křetínský
#5033 Automatic Mixed-Precision Quantization Search of BERT
Changsheng Zhao, Ting Hua, Yilin Shen, Qian Lou, Hongxia Jin
#5051 Enabling Retrain-free Deep Neural Network Pruning using Surrogate Lagrangian Relaxation
Deniz Gurevin, Mikhail Bragin, Caiwen Ding, Shanglin Zhou, Lynn Pepin, Bingbing Li, Fei Miao
#5063 Enhance Image as You Like with Unpaired Learning
Xiaopeng Sun, Muxingzi Li, Tianyu He, Lubin Fan
#5067 An Examination of Fairness of AI Models for Deepfake Detection
Loc Trinh, Yan Liu
#5079 Contrastive losses and solution caching for predict-and-optimize
Maxime Mulamba Ke Tchomba, Jayanta Mandi, Michelangelo Diligenti, Michele Lombardi, Victor Bucarey, Tias Guns
#5080 Fine-Grained Air Quality Inference via Multi-Channel Attention Model
Qilong Han, Dan Lu, Rui Chen
#5083 Dialogue Discourse-Aware Graph Model and Data Augmentation for Meeting Summarization
Xiachong Feng, Xiaocheng Feng, Bing Qin, Xinwei Geng
#5100 Collaborative Graph Learning with Auxiliary Text for Temporal Event Prediction in Healthcare
Chang Lu, Chandan K Reddy, Prithwish Chakraborty, Samantha Kleinberg, Yue Ning
#5102 GAEN: Graph Attention Evolving Networks
Min Shi, Yu Huang, Xingquan Zhu, Yufei Tang, Yuan Zhuang, Jianxun Liu
#5106 Enhancing Label Representations with Relational Inductive Bias Constraint for Fine-Grained Entity Typing
Jinqing Li, Yuwei Li, Dakui Wang, Xiaojun Chen
#5107 Hierarchical Class-Based Curriculum Loss
Palash Goyal, Divya Choudhary, Shalini Ghosh
#5121 PROPm Allocations of Indivisible Goods to Multiple Agents
Artem Baklanov, Pranav Garimidi, Vasilis Gkatzelis, Daniel Schoepflin
#5137 Choosing the Right Algorithm With Hints From Complexity Theory
Shouda Wang, Weijie Zheng, Benjamin Doerr
#5141 A Uniform Abstraction Framework for Generalized Planning
Zhenhe Cui, Yongmei Liu, Kailun Luo
#5172 MEDA: Meta-Learning with Data Augmentation for Few-Shot Text Classification
Pengfei Sun, Yawen Ouyang, Wenming Zhang, Xin-yu Dai
#5219 Towards Reducing Biases in Combining Multiple Experts Online
Yi Sun, Iván Ramírez Díaz, Alfredo Cuesta Infante, Kalyan Veeramachaneni
#5223 UIBert: Learning Generic Multimodal Representations for UI Understanding
Chongyang Bai, Xiaoxue Zang, Ying Xu, Srinivas Sunkara, Abhinav Rastogi, Jindong Chen, Blaise Agüera y Arcas
#5244 Differentially Private Correlation Alignment for Domain Adaptation
Kaizhong Jin, Xiang Cheng, Jiaxi Yang, Kaiyuan Shen
#5252 Adapting Meta Knowledge with Heterogeneous Information Network for COVID-19 Themed Malicious Repository Detection
Yiyue Qian, Yiming Zhang, Yanfang Ye, Chuxu Zhang
#5262 Parallel Subtrajectory Alignment over Massive-Scale Trajectory Data
Lisi Chen, Shuo Shang, Shanshan Feng, Panos Kalnis
#5273 Improving Text Generation with Dynamic Masking and Recovering
Zhidong Liu, Junhui Li, Muhua Zhu
#5292 Online Credit Payment Fraud Detection via Structure-Aware Hierarchical Recurrent Neural Network
Wangli Lin, Li Sun, Qiwei Zhong, Can Liu, Jinghua Feng, Xiang Ao, Hao Yang
#5307 Private Stochastic Non-convex Optimization with Improved Utility Rates
Qiuchen Zhang, Jing Ma, Jian Lou, Li Xiong
#5312 Interaction Considerations in Learning from Humans
Pallavi Koppol, Henny Admoni, Reid Simmons
#5322 Bayesian Experience Reuse for Learning from Multiple Demonstrators
Mike Gimelfarb, Scott Sanner, Chi-Guhn Lee
#6335 Game-theoretic Analysis of Effort Allocation of Contributors to Public Projects
Jared Soundy, Chenhao Wang, Clay Stevens, Hau Chan
#6352 Cooperation in Threshold Public Projects with Binary Actions
Yiling Chen, Biaoshuai Tao, Fang-Yi Yu
#6354 Unsupervised Progressive Learning and the STAM Architecture
James Smith, Cameron Taylor, Seth Baer, Constantine Dovrolis
#6381 User-as-Graph: User Modeling with Heterogeneous Graph Pooling for News Recommendation
Chuhan Wu, Fangzhao Wu, Yongfeng Huang, Xing Xie
#6399 Fast Pareto Optimization for Subset Selection with Dynamic Cost Constraints
Chao Bian, Chao Qian, Frank Neumann, Yang Yu
#6405 Sequential 3D Human Pose Estimation Using Adaptive Point Cloud Sampling Strategy
Zihao Zhang, Lei Hu, Xiaoming Deng, Shihong Xia
#6413 Deep Reinforcement Learning for Multi-contact Motion Planning of Hexapod Robots
Huiqiao Fu, Kaiqiang Tang, Peng Li, Wenqi Zhang, Xinpeng Wang, Guizhou Deng, Tao Wang, Chunlin Chen
#6434 Hindsight Trust Region Policy Optimization
Hanbo Zhang, Site Bai, Xuguang Lan, David Hsu, Nanning Zheng
#6449 Preference-Adaptive Meta-Learning for Cold-Start Recommendation
Li Wang, Binbin Jin, Zhenya Huang, Hongke Zhao, Defu Lian, Qi Liu, Enhong Chen
#6473 Partial Multi-Label Optimal Margin Distribution Machine
Nan Cao, Teng Zhang, Hai Jin
#6493 Differentially Private Pairwise Learning Revisited
Zhiyu Xue, Shaoyang Yang, Mengdi Huai, Di Wang
#6522 TCIC: Theme Concepts Learning Cross Language and Vision for Image Captioning
Zhihao Fan, Zhongyu Wei, Siyuan Wang, Ruize Wang, Zejun Li, Haijun Shan, Xuanjing Huang
#6523 Learn to Intervene: An Adaptive Learning Policy for Restless Bandits in Application to Preventive Healthcare
Arpita Biswas, Gaurav Aggarwal, Pradeep Varakantham, Milind Tambe
#6531 Backdoor DNFs
Sebastian Ordyniak, Andre Schidler, Stefan Szeider
#6532 SURPRISE! and When to Schedule It.
Zhihuan Huang, Shengwei Xu, You Shan, Yuxuan Lu, Yuqing Kong, Tracy Xiao Liu, Grant Schoenebeck
#6540 Multi-Hop Fact Checking of Political Claims
Wojciech Ostrowski, Arnav Arora, Pepa Atanasova, Isabelle Augenstein
#6561 Computing Optimal Hypertree Decompositions with SAT
Andre Schidler, Stefan Szeider
#6582 Abstract Argumentation Frameworks with Domain Assignments
Alexandros Vassiliades, Theodore Patkos, Giorgos Flouris, Antonis Bikakis, Nick Bassiliades, Dimitris Plexousakis
#6583 TrafficStream: A Streaming Traffic Flow Forecasting Framework Based on Graph Neural Networks and Continual Learning
Xu Chen, Junshan Wang, Kunqing Xie
#6584 Faster Smarter Proof by Induction in Isabelle/HOL
Yutaka Nagashima
#6587 Direction-aware Feature-level Frequency Decomposition for Single Image Deraining
Sen Deng, Yidan Feng, Haoran Xie, Yiping Chen, Jonathan Li, Xiao-Ping Zhang, Mingqiang Wei, Jing Qin
#6596 Budget-feasible Mechanisms for Representing Groups of Agents Proportionally
Xiang Liu, Hau Chan, Minming Li, Weiwei Wu
#6624 The Traveling Tournament Problem with Maximum Tour Length Two: A Practical Algorithm with An Improved Approximation Bound
Jingyang Zhao, Mingyu Xiao
#6638 Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning
Ming Jin, Yizhen Zheng, Yuan-Fang Li, Chen Gong, Chuan Zhou, Shirui Pan
#6646 On Weak Stubborn Sets in Classical Planning
Silvan Sievers, Martin Wehrle
#6653 Matchings with Group Fairness Constraints: Online and Offline Algorithms
Govind S. Sankar, Anand Louis, Meghana Nasre, Prajakta Nimbhorkar
#6679 Spatial-Temporal Sequential Hypergraph Network for Crime Prediction with Dynamic Multiplex Relation Learning
Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Liefeng Bo, Xiyue Zhang, Tianyi Chen
#6710 TEC: A Time Evolving Contextual Graph Model for Speaker State Analysis in Political Debates
Ramit Sawhney, Shivam Agarwal, Arnav Wadhwa, Rajiv Shah