IJCAI 2021
721 papers
A Clustering-Based Framework for Classifying Data Streams
Xuyang Yan, Abdollah Homaifar, Mrinmoy Sarkar, Abenezer Girma, Edward W. Tunstel A Comprehensive Survey on Image Dehazing Based on Deep Learning
Jie Gui, Xiaofeng Cong, Yuan Cao, Wenqi Ren, Jun Zhang, Jing Zhang, Dacheng Tao A Compression-Compilation Framework for On-Mobile Real-Time BERT Applications
Wei Niu, Zhenglun Kong, Geng Yuan, Weiwen Jiang, Jiexiong Guan, Caiwen Ding, Pu Zhao, Sijia Liu, Bin Ren, Yanzhi Wang A Description Logic for Analogical Reasoning
Steven Schockaert, Yazmín Ibáñez-García, Víctor Gutiérrez-Basulto A Ladder of Causal Distances
Maxime Peyrard, Robert West A Neural Network Auction for Group Decision Making over a Continuous Space
Yoram Bachrach, Ian Gemp, Marta Garnelo, János Kramár, Tom Eccles, Dan Rosenbaum, Thore Graepel A Rule Mining-Based Advanced Persistent Threats Detection System
Sidahmed Benabderrahmane, Ghita Berrada, James Cheney, Petko Valtchev A Sequence-to-Set Network for Nested Named Entity Recognition
Zeqi Tan, Yongliang Shen, Shuai Zhang, Weiming Lu, Yueting Zhuang A Sketch-Transformer Network for Face Photo-Sketch Synthesis
Mingrui Zhu, Changcheng Liang, Nannan Wang, Xiaoyu Wang, Zhifeng Li, Xinbo Gao A Streaming End-to-End Framework for Spoken Language Understanding
Nihal Potdar, Anderson Raymundo Avila, Chao Xing, Dong Wang, Yiran Cao, Xiao Chen 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 A Survey of Machine Learning-Based Physics Event Generation
Yasir Alanazi, Nobuo Sato, Pawel Ambrozewicz, Astrid N. Hiller Blin, Wally Melnitchouk, Marco Battaglieri, Tianbo Liu, Yaohang Li A Survey on Low-Resource Neural Machine Translation
Rui Wang, Xu Tan, Renqian Luo, Tao Qin, Tie-Yan Liu A Survey on Universal Adversarial Attack
Chaoning Zhang, Philipp Benz, Chenguo Lin, Adil Karjauv, Jing Wu, In So Kweon Abductive Learning with Ground Knowledge Base
Le-Wen Cai, Wang-Zhou Dai, Yu-Xuan Huang, Yufeng Li, Stephen H. Muggleton, Yuan Jiang Abstract Argumentation Frameworks with Domain Assignments
Alexandros Vassiliades, Theodore Patkos, Giorgos Flouris, Antonis Bikakis, Nick Bassiliades, Dimitris Plexousakis Active Goal Recognition Design
Kevin C. Gall, Wheeler Ruml, Sarah Keren Adaptive Edge Attention for Graph Matching with Outliers
Jingwei Qu, Haibin Ling, Chenrui Zhang, Xiaoqing Lyu, Zhi Tang AdaVQA: Overcoming Language Priors with Adapted Margin Cosine Loss
Yangyang Guo, Liqiang Nie, Zhiyong Cheng, Feng Ji, Ji Zhang, Alberto Del Bimbo 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 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 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 Anytime Multi-Agent Path Finding via Large Neighborhood Search
Jiaoyang Li, Zhe Chen, Daniel Harabor, Peter J. Stuckey, Sven Koenig Argumentative XAI: A Survey
Kristijonas Cyras, Antonio Rago, Emanuele Albini, Pietro Baroni, Francesca Toni Automated Fact-Checking for Assisting Human Fact-Checkers
Preslav Nakov, David P. A. Corney, Maram Hasanain, Firoj Alam, Tamer Elsayed, Alberto Barrón-Cedeño, Paolo Papotti, Shaden Shaar, Giovanni Da San Martino Automatic Mixed-Precision Quantization Search of BERT
Changsheng Zhao, Ting Hua, Yilin Shen, Qian Lou, Hongxia Jin Automatic Translation of Music-to-Dance for In-Game Characters
Yinglin Duan, Tianyang Shi, Zhipeng Hu, Zhengxia Zou, Changjie Fan, Yi Yuan, Xi Li Automatically Paraphrasing via Sentence Reconstruction and Round-Trip Translation
Zilu Guo, Zhongqiang Huang, Kenny Q. Zhu, Guandan Chen, Kaibo Zhang, Boxing Chen, Fei Huang AVA: Adversarial Vignetting Attack Against Visual Recognition
Binyu Tian, Felix Juefei-Xu, Qing Guo, Xiaofei Xie, Xiaohong Li, Yang Liu Backdoor DNFs
Sebastian Ordyniak, André Schidler, Stefan Szeider Boosting Offline Reinforcement Learning with Residual Generative Modeling
Hua Wei, Deheng Ye, Zhao Liu, Hao Wu, Bo Yuan, Qiang Fu, Wei Yang, Zhenhui Li Boosting Variational Inference with Locally Adaptive Step-Sizes
Gideon Dresdner, Saurav Shekhar, Fabian Pedregosa, Francesco Locatello, Gunnar Rätsch Boundary Knowledge Translation Based Reference Semantic Segmentation
Lechao Cheng, Zunlei Feng, Xinchao Wang, Ya Jie Liu, Jie Lei, Mingli Song Building Affordance Relations for Robotic Agents - A Review
Paola Ardón, Èric Pairet, Katrin S. Lohan, Subramanian Ramamoorthy, Ron P. A. Petrick Cardinality Queries over DL-Lite Ontologies
Meghyn Bienvenu, Quentin Manière, Michaël Thomazo Causal Discovery with Multi-Domain LiNGAM for Latent Factors
Yan Zeng, Shohei Shimizu, Ruichu Cai, Feng Xie, Michio Yamamoto, Zhifeng Hao Causal Learning for Socially Responsible AI
Lu Cheng, Ahmadreza Mosallanezhad, Paras Sheth, Huan Liu 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 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 Combinatorial Optimization and Reasoning with Graph Neural Networks
Quentin Cappart, Didier Chételat, Elias B. Khalil, Andrea Lodi, Christopher Morris, Petar Velickovic Communication-Efficient and Scalable Decentralized Federated Edge Learning
Austine Zong Han Yapp, Hong Soo Nicholas Koh, Yan Ting Lai, Jiawen Kang, Xuandi Li, Jer Shyuan Ng, Hongchao Jiang, Wei Yang Bryan Lim, Zehui Xiong, Dusit Niyato Context-Aware Image Inpainting with Learned Semantic Priors
Wendong Zhang, Junwei Zhu, Ying Tai, Yunbo Wang, Wenqing Chu, Bingbing Ni, Chengjie Wang, Xiaokang Yang Contrastive Losses and Solution Caching for Predict-and-Optimize
Maxime Mulamba, Jayanta Mandi, Michelangelo Diligenti, Michele Lombardi, Victor Bucarey, Tias Guns Contrastive Model Invertion for Data-Free Knolwedge Distillation
Gongfan Fang, Jie Song, Xinchao Wang, Chengchao Shen, Xingen Wang, Mingli Song ConvLogMiner: A Real-Time Conversational Lifelog Miner
Pei-Wei Kao, An-Zi Yen, Hen-Hsen Huang, Hsin-Hsi Chen Correlation-Guided Representation for Multi-Label Text Classification
Qian-Wen Zhang, Ximing Zhang, Zhao Yan, Ruifang Liu, Yunbo Cao, Min-Ling Zhang Coupling Intent and Action for Pedestrian Crossing Behavior Prediction
Yu Yao, Ella M. Atkins, Matthew Johnson-Roberson, Ram Vasudevan, Xiaoxiao Du Cross-Domain Recommendation: Challenges, Progress, and Prospects
Feng Zhu, Yan Wang, Chaochao Chen, Jun Zhou, Longfei Li, Guanfeng Liu DACBench: A Benchmark Library for Dynamic Algorithm Configuration
Theresa Eimer, André Biedenkapp, Maximilian Reimer, Steven Adriaensen, Frank Hutter, Marius Lindauer Decision Making with Differential Privacy Under a Fairness Lens
Cuong Tran, Ferdinando Fioretto, Pascal Van Hentenryck, Zhiyan Yao Decomposable-Net: Scalable Low-Rank Compression for Neural Networks
Atsushi Yaguchi, Taiji Suzuki, Shuhei Nitta, Yukinobu Sakata, Akiyuki Tanizawa Decomposition-Guided Reductions for Argumentation and Treewidth
Johannes Klaus Fichte, Markus Hecher, Yasir Mahmood, Arne Meier Deep Automatic Natural Image Matting
Jizhizi Li, Jing Zhang, Dacheng Tao Deep Bucket Elimination
Yasaman Razeghi, Kalev Kask, Yadong Lu, Pierre Baldi, Sakshi Agarwal, Rina Dechter Deep Descriptive Clustering
Hongjing Zhang, Ian Davidson Deep Drone Acrobatics (Extended Abstract)
Elia Kaufmann, Antonio Loquercio, René Ranftl, Matthias Müller, Vladlen Koltun, Davide Scaramuzza Deep Learning for Click-Through Rate Estimation
Weinan Zhang, Jiarui Qin, Wei Guo, Ruiming Tang, Xiuqiang He Deep Reinforcement Learning Boosted Partial Domain Adaptation
Keyu Wu, Min Wu, Jianfei Yang, Zhenghua Chen, Zhengguo Li, Xiaoli Li 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 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 Detecting Deepfake Videos with Temporal Dropout 3DCNN
Daichi Zhang, Chenyu Li, Fanzhao Lin, Dan Zeng, Shiming Ge 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 Direct Measure Matching for Crowd Counting
Hui Lin, Xiaopeng Hong, Zhiheng Ma, Xing Wei, Yunfeng Qiu, Yaowei Wang, Yihong Gong Direction-Aware Feature-Level Frequency Decomposition for Single Image Deraining
Sen Deng, Yidan Feng, Mingqiang Wei, Haoran Xie, Yiping Chen, Jonathan Li, Xiao-Ping Zhang, Jing Qin Discrete Multiple Kernel K-Means
Rong Wang, Jitao Lu, Yihang Lu, Feiping Nie, Xuelong Li Distance Polymatrix Coordination Games
Alessandro Aloisio, Michele Flammini, Bojana Kodric, Cosimo Vinci Distortion in Social Choice Problems: The First 15 Years and Beyond
Elliot Anshelevich, Aris Filos-Ratsikas, Nisarg Shah, Alexandros A. Voudouris Diversity in Kemeny Rank Aggregation: A Parameterized Approach
Emmanuel Arrighi, Henning Fernau, Daniel Lokshtanov, Mateus de Oliveira Oliveira, Petra Wolf 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 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 Dominant Resource Fairness with Meta-Types
Steven Yin, Shatian Wang, Lingyi Zhang, Christian Kroer 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 Dual-Cross Central Difference Network for Face Anti-Spoofing
Zitong Yu, Yunxiao Qin, Hengshuang Zhao, Xiaobai Li, Guoying Zhao Dynamic Inconsistency-Aware DeepFake Video Detection
Ziheng Hu, Hongtao Xie, Yuxin Wang, Jiahong Li, Zhongyuan Wang, Yongdong Zhang Efficient Black-Box Planning Using Macro-Actions with Focused Effects
Cameron Allen, Michael Katz, Tim Klinger, George Konidaris, Matthew Riemer, Gerald Tesauro EmbedMask: Embedding Coupling for Instance Segmentation
Hui Ying, Zhaojin Huang, Shu Liu, Tianjia Shao, Kun Zhou Emergent Prosociality in Multi-Agent Games Through Gifting
Woodrow Z. Wang, Mark Beliaev, Erdem Biyik, Daniel A. Lazar, Ramtin Pedarsani, Dorsa Sadigh Enabling Retrain-Free Deep Neural Network Pruning Using Surrogate Lagrangian Relaxation
Deniz Gurevin, Mikhail A. Bragin, Caiwen Ding, Shanglin Zhou, Lynn Pepin, Bingbing Li, Fei Miao End-to-End Constrained Optimization Learning: A Survey
James Kotary, Ferdinando Fioretto, Pascal Van Hentenryck, Bryan Wilder Enhance Image as You like with Unpaired Learning
Xiaopeng Sun, Muxingzi Li, Tianyu He, Lubin Fan Exemplification Modeling: Can You Give Me an Example, Please?
Edoardo Barba, Luigi Procopio, Caterina Lacerra, Tommaso Pasini, Roberto Navigli Explaining Self-Supervised Image Representations with Visual Probing
Dominika Basaj, Witold Oleszkiewicz, Igor Sieradzki, Michal Górszczak, Barbara Rychalska, Tomasz Trzcinski, Bartosz Zielinski Fair Pairwise Exchange Among Groups
Zhaohong Sun, Taiki Todo, Toby Walsh Fast Algorithms for Relational Marginal Polytopes
Yuanhong Wang, Timothy van Bremen, Juhua Pu, Yuyi Wang, Ondrej Kuzelka Fast Multi-Label Learning
Xiuwen Gong, Dong Yuan, Wei Bao Feature Space Targeted Attacks by Statistic Alignment
Lianli Gao, Yaya Cheng, Qilong Zhang, Xing Xu, Jingkuan Song Federated Learning with Fair Averaging
Zheng Wang, Xiaoliang Fan, Jianzhong Qi, Chenglu Wen, Cheng Wang, Rongshan Yu Few-Shot Partial-Label Learning
Yunfeng Zhao, Guoxian Yu, Lei Liu, Zhongmin Yan, Lizhen Cui, Carlotta Domeniconi Finite-Trace and Generalized-Reactivity Specifications in Temporal Synthesis
Giuseppe De Giacomo, Antonio Di Stasio, Lucas M. Tabajara, Moshe Y. Vardi, Shufang Zhu GAEN: Graph Attention Evolving Networks
Min Shi, Yu Huang, Xingquan Zhu, Yufei Tang, Yuan Zhuang, Jianxun Liu Generative Adversarial Neural Architecture Search
Seyed Saeed Changiz Rezaei, Fred X. Han, Di Niu, Mohammad Salameh, Keith G. Mills, Shuo Lian, Wei Lu, Shangling Jui GM-MLIC: Graph Matching Based Multi-Label Image Classification
Yanan Wu, He Liu, Songhe Feng, Yi Jin, Gengyu Lyu, Zizhang Wu Graph Deformer Network
Wenting Zhao, Yuan Fang, Zhen Cui, Tong Zhang, Jian Yang 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 Graph Learning Based Recommender Systems: A Review
Shoujin Wang, Liang Hu, Yan Wang, Xiangnan He, Quan Z. Sheng, Mehmet A. Orgun, Longbing Cao, Francesco Ricci, Philip S. Yu Graphical Cake Cutting via Maximin Share
Edith Elkind, Erel Segal-Halevi, Warut Suksompong GraphMI: Extracting Private Graph Data from Graph Neural Networks
Zaixi Zhang, Qi Liu, Zhenya Huang, Hao Wang, Chengqiang Lu, Chuanren Liu, Enhong Chen Guided Attention Network for Concept Extraction
Songtao Fang, Zhenya Huang, Ming He, Shiwei Tong, Xiaoqing Huang, Ye Liu, Jie Huang, Qi Liu Hardware-Aware Neural Architecture Search: Survey and Taxonomy
Hadjer Benmeziane, Kaoutar El Maghraoui, Hamza Ouarnoughi, Smaïl Niar, Martin Wistuba, Naigang Wang Heterogeneous Graph Information Bottleneck
Liang Yang, Fan Wu, Zichen Zheng, Bingxin Niu, Junhua Gu, Chuan Wang, Xiaochun Cao, Yuanfang Guo Hiding Numerical Vectors in Local Private and Shuffled Messages
Shaowei Wang, Jin Li, Yuqiu Qian, Jiachun Du, Wenqing Lin, Wei Yang Hierarchical Class-Based Curriculum Loss
Palash Goyal, Divya Choudhary, Shalini Ghosh 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 Hindsight Trust Region Policy Optimization
Hanbo Zhang, Site Bai, Xuguang Lan, David Hsu, Nanning Zheng 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 HIVE: Hierarchical Information Visualization for Explainability
Yi-Ning Juan, Yi-Shyuan Chiang, Shang-Chuan Liu, Ming-Feng Tsai, Chuan-Ju Wang Human-AI Collaboration with Bandit Feedback
Ruijiang Gao, Maytal Saar-Tsechansky, Maria De-Arteaga, Ligong Han, Min Kyung Lee, Matthew Lease IIAS: An Intelligent Insurance Assessment System Through Online Real-Time Conversation Analysis
Mengdi Zhou, Shuang Peng, Minghui Yang, Nan Li, Hongbin Wang, Li Qiao, Haitao Mi, Zujie Wen, Teng Xu, Lei Liu 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 Independence-Aware Advantage Estimation
Pushi Zhang, Li Zhao, Guoqing Liu, Jiang Bian, Minlie Huang, Tao Qin, Tie-Yan Liu Information Bottleneck Approach to Spatial Attention Learning
Qiuxia Lai, Yu Li, Ailing Zeng, Minhao Liu, Hanqiu Sun, Qiang Xu Intensional and Extensional Views in DL-Lite Ontologies
Marco Console, Giuseppe De Giacomo, Maurizio Lenzerini, Manuel Namici Interference-Free Walks in Time: Temporally Disjoint Paths
Nina Klobas, George B. Mertzios, Hendrik Molter, Rolf Niedermeier, Philipp Zschoche Interpretable Compositional Convolutional Neural Networks
Wen Shen, Zhihua Wei, Shikun Huang, Binbin Zhang, Jiaqi Fan, Ping Zhao, Quanshi Zhang Item Response Ranking for Cognitive Diagnosis
Shiwei Tong, Qi Liu, Runlong Yu, Wei Huang, Zhenya Huang, Zachary A. Pardos, Weijie Jiang Jointly Learning Prices and Product Features
Ehsan Emamjomeh-Zadeh, Renato Paes Leme, Jon Schneider, Balasubramanian Sivan 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 Keep Your Distance: Land Division with Separation
Edith Elkind, Erel Segal-Halevi, Warut Suksompong Kemeny Consensus Complexity
Zack Fitzsimmons, Edith Hemaspaandra Knowledge Consolidation Based Class Incremental Online Learning with Limited Data
Mohammed Asad Karim, Vinay Kumar Verma, Pravendra Singh, Vinay P. Namboodiri, Piyush Rai Knowledge-Aware Zero-Shot Learning: Survey and Perspective
Jiaoyan Chen, Yuxia Geng, Zhuo Chen, Ian Horrocks, Jeff Z. Pan, Huajun Chen Knowledge-Based Residual Learning
Guanjie Zheng, Chang Liu, Hua Wei, Porter Jenkins, Chacha Chen, Tao Wen, Zhenhui Li 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 Learning 3-D Human Pose Estimation from Catadioptric Videos
Chenchen Liu, Yongzhi Li, Kangqi Ma, Duo Zhang, Peijun Bao, Yadong Mu Learning Aggregation Functions
Giovanni Pellegrini, Alessandro Tibo, Paolo Frasconi, Andrea Passerini, Manfred Jaeger Learning CNF Theories Using MDL and Predicate Invention
Arcchit Jain, Clément Gautrais, Angelika Kimmig, Luc De Raedt Learning Groupwise Explanations for Black-Box Models
Jingyue Gao, Xiting Wang, Yasha Wang, Yulan Yan, Xing Xie Learning Implicitly with Noisy Data in Linear Arithmetic
Alexander Philipp Rader, Ionela G. Mocanu, Vaishak Belle, Brendan Juba Learning Interpretable Concept Groups in CNNs
Saurabh Varshneya, Antoine Ledent, Robert A. Vandermeulen, Yunwen Lei, Matthias Enders, Damian Borth, Marius Kloft Learning with Selective Forgetting
Takashi Shibata, Go Irie, Daiki Ikami, Yu Mitsuzumi 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 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 Mean Field Games Flock! the Reinforcement Learning Way
Sarah Perrin, Mathieu Laurière, Julien Pérolat, Matthieu Geist, Romuald Élie, Olivier Pietquin Mechanism Design for Facility Location Problems: A Survey
Hau Chan, Aris Filos-Ratsikas, Bo Li, Minming Li, Chenhao Wang Medical Image Segmentation Using Squeeze-and-Expansion Transformers
Shaohua Li, Xiuchao Sui, Xiangde Luo, Xinxing Xu, Yong Liu, Rick Siow Mong Goh Mental Models of AI Agents in a Cooperative Game Setting (Extended Abstract)
Katy Ilonka Gero, Zahra Ashktorab, Casey Dugan, Qian Pan, James Johnson, Werner Geyer, Maria Ruiz, Sarah Miller, David R. Millen, Murray Campbell, Sadhana Kumaravel, Wei Zhang 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 MFNP: A Meta-Optimized Model for Few-Shot Next POI Recommendation
Huimin Sun, Jiajie Xu, Kai Zheng, Pengpeng Zhao, Pingfu Chao, Xiaofang Zhou Modeling Institutions in Socio-Ecosystems
Sitraka Oliva Raharivelo, Jean-Pierre Müller Modeling Trajectories with Neural Ordinary Differential Equations
Yuxuan Liang, Kun Ouyang, Hanshu Yan, Yiwei Wang, Zekun Tong, Roger Zimmermann Modelling General Properties of Nouns by Selectively Averaging Contextualised Embeddings
Na Li, Zied Bouraoui, José Camacho-Collados, Luis Espinosa Anke, Qing Gu, Steven Schockaert Monte Carlo Filtering Objectives
Shuangshuang Chen, Sihao Ding, Yiannis Karayiannidis, Mårten Björkman Multi-Agent Belief Base Revision
Emiliano Lorini, François Schwarzentruber Multi-Channel Pooling Graph Neural Networks
Jinlong Du, Senzhang Wang, Hao Miao, Jiaqiang Zhang Multi-Hop Attention Graph Neural Networks
Guangtao Wang, Rex Ying, Jing Huang, Jure Leskovec Multi-Hop Fact Checking of Political Claims
Wojciech Ostrowski, Arnav Arora, Pepa Atanasova, Isabelle Augenstein Multi-Version Tensor Completion for Time-Delayed Spatio-Temporal Data
Cheng Qian, Nikos Kargas, Cao Xiao, Lucas Glass, Nicholas D. Sidiropoulos, Jimeng Sun Neural Architecture Search of SPD Manifold Networks
Rhea Sanjay Sukthanker, Zhiwu Huang, Suryansh Kumar, Erik Goron Endsjo, Yan Wu, Luc Van Gool Neural Temporal Point Processes: A Review
Oleksandr Shchur, Ali Caner Türkmen, Tim Januschowski, Stephan Günnemann Node-Wise Localization of Graph Neural Networks
Zemin Liu, Yuan Fang, Chenghao Liu, Steven C. H. Hoi Noise Doesn't Lie: Towards Universal Detection of Deep Inpainting
Ang Li, Qiuhong Ke, Xingjun Ma, Haiqin Weng, Zhiyuan Zong, Feng Xue, Rui Zhang Noise2Grad: Extract Image Noise to Denoise
Huangxing Lin, Yihong Zhuang, Yue Huang, Xinghao Ding, Xiaoqing Liu, Yizhou Yu 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 On Guaranteed Optimal Robust Explanations for NLP Models
Emanuele La Malfa, Rhiannon Michelmore, Agnieszka M. Zbrzezny, Nicola Paoletti, Marta Kwiatkowska On Self-Distilling Graph Neural Network
Yuzhao Chen, Yatao Bian, Xi Xiao, Yu Rong, Tingyang Xu, Junzhou Huang On the Parameterized Complexity of Polytree Learning
Niels Grüttemeier, Christian Komusiewicz, Nils Morawietz One-Shot Affordance Detection
Hongchen Luo, Wei Zhai, Jing Zhang, Yang Cao, Dacheng Tao Online Learning of Action Models for PDDL Planning
Leonardo Lamanna, Alessandro Saetti, Luciano Serafini, Alfonso Gerevini, Paolo Traverso Online Selection of Diverse Committees
Virginie Do, Jamal Atif, Jérôme Lang, Nicolas Usunier Ordering-Based Causal Discovery with Reinforcement Learning
Xiaoqiang Wang, Yali Du, Shengyu Zhu, Liangjun Ke, Zhitang Chen, Jianye Hao, Jun Wang Participatory Budgeting with Project Groups
Pallavi Jain, Krzysztof Sornat, Nimrod Talmon, Meirav Zehavi Person Search Challenges and Solutions: A Survey
Xiangtan Lin, Pengzhen Ren, Yun Xiao, Xiaojun Chang, Alex Hauptmann Picking Sequences and Monotonicity in Weighted Fair Division
Mithun Chakraborty, Ulrike Schmidt-Kraepelin, Warut Suksompong 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 Politeness for the Theory of Algebraic Datatypes (Extended Abstract)
Ying Sheng, Yoni Zohar, Christophe Ringeissen, Jane Lange, Pascal Fontaine, Clark W. Barrett Predictive Analytics for COVID-19 Social Distancing
Harold Ze Chie Teng, Hongchao Jiang, Xuan Rong Zane Ho, Wei Yang Bryan Lim, Jer Shyuan Ng, Han Yu, Zehui Xiong, Dusit Niyato, Chunyan Miao 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 Preference-Adaptive Meta-Learning for Cold-Start Recommendation
Li Wang, Binbin Jin, Zhenya Huang, Hongke Zhao, Defu Lian, Qi Liu, Enhong Chen Probabilistic Sufficient Explanations
Eric Wang, Pasha Khosravi, Guy Van den Broeck PROPm Allocations of Indivisible Goods to Multiple Agents
Artem Baklanov, Pranav Garimidi, Vasilis Gkatzelis, Daniel Schoepflin Putting a Compass on the mAP of Elections
Niclas Boehmer, Robert Bredereck, Piotr Faliszewski, Rolf Niedermeier, Stanislaw Szufa Ranking Extensions in Abstract Argumentation
Kenneth Skiba, Tjitze Rienstra, Matthias Thimm, Jesse Heyninck, Gabriele Kern-Isberner Reasoning About Agents That May Know Other Agents' Strategies
Francesco Belardinelli, Sophia Knight, Alessio Lomuscio, Bastien Maubert, Aniello Murano, Sasha Rubin Reasoning-Based Learning of Interpretable ML Models
Alexey Ignatiev, João Marques-Silva, Nina Narodytska, Peter J. Stuckey Recent Trends in Word Sense Disambiguation: A Survey
Michele Bevilacqua, Tommaso Pasini, Alessandro Raganato, Roberto Navigli Reducing SAT to Max2SAT
Carlos Ansótegui, Jordi Levy Relaxed Core Stability in Fractional Hedonic Games
Angelo Fanelli, Gianpiero Monaco, Luca Moscardelli Rescuing Deep Hashing from Dead Bits Problem
Shu Zhao, Dayan Wu, Yucan Zhou, Bo Li, Weiping Wang 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 Reward-Constrained Behavior Cloning
Zhaorong Wang, Meng Wang, Jingqi Zhang, Yingfeng Chen, Chongjie Zhang Robustly Learning Composable Options in Deep Reinforcement Learning
Akhil Bagaria, Jason K. Senthil, Matthew Slivinski, George Konidaris Scalable Non-Observational Predicate Learning in ASP
Mark Law, Alessandra Russo, Krysia Broda, Elisa Bertino Segmenting Transparent Objects in the Wild with Transformer
Enze Xie, Wenjia Wang, Wenhai Wang, Peize Sun, Hang Xu, Ding Liang, Ping Luo 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 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 R. Strauss, Luisa Velasco, Yaohang Li Skills2Graph: Processing Million Job Ads to Face the Job Skill Mismatch Problem
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