IJCAI 2022
863 papers
A Closed-Loop Perception, Decision-Making and Reasoning Mechanism for Human-like Navigation
Wenqi Zhang, Kai Zhao, Peng Li, Xiao Zhu, Yongliang Shen, Yanna Ma, Yingfeng Chen, Weiming Lu A Reliability-Aware Distributed Framework to Schedule Residential Charging of Electric Vehicles
Rounak Meyur, Swapna Thorve, Madhav V. Marathe, Anil Vullikanti, Samarth Swarup, Henning S. Mortveit A Simple yet Effective Method for Graph Classification
Junran Wu, Shangzhe Li, Jianhao Li, Yicheng Pan, Ke Xu A Smart Trader for Portfolio Management Based on Normalizing Flows
Mengyuan Yang, Xiaolin Zheng, Qianqiao Liang, Bing Han, Mengying Zhu A Solver + Gradient Descent Training Algorithm for Deep Neural Networks
Dhananjay Ashok, Vineel Nagisetty, Christopher Srinivasa, Vijay Ganesh A Survey of Risk-Aware Multi-Armed Bandits
Vincent Y. F. Tan, Prashanth L. A., Krishna P. Jagannathan A Survey of Vision-Language Pre-Trained Models
Yifan Du, Zikang Liu, Junyi Li, Wayne Xin Zhao A Unified View of Relational Deep Learning for Drug Pair Scoring
Benedek Rozemberczki, Stephen Bonner, Andriy Nikolov, Michaël Ughetto, Sebastian Nilsson, Eliseo Papa A Universal PINNs Method for Solving Partial Differential Equations with a Point Source
Xiang Huang, Hongsheng Liu, Beiji Shi, Zidong Wang, Kang Yang, Yang Li, Min Wang, Haotian Chu, Jing Zhou, Fan Yu, Bei Hua, Bin Dong, Lei Chen Abstract Rule Learning for Paraphrase Generation
Xianggen Liu, Wenqiang Lei, Jiancheng Lv, Jizhe Zhou Active Contrastive Set Mining for Robust Audio-Visual Instance Discrimination
Hanyu Xuan, Yihong Xu, Shuo Chen, Zhiliang Wu, Jian Yang, Yan Yan, Xavier Alameda-Pineda Adaptive Long-Short Pattern Transformer for Stock Investment Selection
Heyuan Wang, Tengjiao Wang, Shun Li, Jiayi Zheng, Shijie Guan, Wei Chen Adversarial Bi-Regressor Network for Domain Adaptive Regression
Haifeng Xia, Pu Wang, Toshiaki Koike-Akino, Ye Wang, Philip V. Orlik, Zhengming Ding Adversarial Explanations for Knowledge Graph Embeddings
Patrick Betz, Christian Meilicke, Heiner Stuckenschmidt ADVISER: AI-Driven Vaccination Intervention Optimiser for Increasing Vaccine Uptake in Nigeria
Vineet Nair, Kritika Prakash, Michael Wilbur, Aparna Taneja, Corinne Namblard, Oyindamola Adeyemo, Abhishek Dubey, Abiodun Adereni, Milind Tambe, Ayan Mukhopadhyay AggPose: Deep Aggregation Vision Transformer for Infant Pose Estimation
Xu Cao, Xiaoye Li, Liya Ma, Yi Huang, Xuan Feng, Zening Chen, Hongwu Zeng, Jianguo Cao AgriBERT: Knowledge-Infused Agricultural Language Models for Matching Food and Nutrition
Saed Rezayi, Zhengliang Liu, Zihao Wu, Chandra Dhakal, Bao Ge, Chen Zhen, Tianming Liu, Sheng Li AMICA: An Argumentative Search Engine for COVID-19 Literature
Marco Lippi, Francesco Antici, Gianfranco Brambilla, Evaristo Cisbani, Andrea Galassi, Daniele Giansanti, Fabio Magurano, Antonella Rosi, Federico Ruggeri, Paolo Torroni An Efficient Approach to Data Transfer Scheduling for Long Range Space Exploration
Emmanuel Hebrard, Christian Artigues, Pierre Lopez, Arnaud Lusson, Steve A. Chien, Adrien Maillard, Gregg R. Rabideau Approval with Runoff
Théo Delemazure, Jérôme Lang, Jean-François Laslier, M. Remzi Sanver Approximate Exploitability: Learning a Best Response
Finbarr Timbers, Nolan Bard, Edward Lockhart, Marc Lanctot, Martin Schmid, Neil Burch, Julian Schrittwieser, Thomas Hubert, Michael Bowling ARCANE: An Efficient Architecture for Exact Machine Unlearning
Haonan Yan, Xiaoguang Li, Ziyao Guo, Hui Li, Fenghua Li, Xiaodong Lin Argo: Towards Small Vessel Detection for Humanitarian Purposes
Elisabeth Moser, Selina Meyer, Maximilian Schmidhuber, Daniel Ketterer, Matthias Eberhardt Art Creation with Multi-Conditional StyleGANs
Konstantin Dobler, Florian Hübscher, Jan Westphal, Alejandro Sierra Múnera, Gerard de Melo, Ralf Krestel Aspect-Based Sentiment Analysis with Opinion Tree Generation
Xiaoyi Bao, Zhongqing Wang, Xiaotong Jiang, Rong Xiao, Shoushan Li Asymmetric Hybrids: Dialogues for Computational Concept Combination (Extended Abstract)
Guendalina Righetti, Daniele Porello, Nicolas Troquard, Oliver Kutz, Maria M. Hedblom, Pietro Galliani Augmenting Anchors by the Detector Itself
Xiaopei Wan, Guoqiu Li, Yujiu Yang, Zhenhua Guo Augmenting Knowledge Graphs for Better Link Prediction
Jiang Wang, Filip Ilievski, Pedro A. Szekely, Ke-Thia Yao AutoAlign: Pixel-Instance Feature Aggregation for Multi-Modal 3D Object Detection
Zehui Chen, Zhenyu Li, Shiquan Zhang, Liangji Fang, Qinhong Jiang, Feng Zhao, Bolei Zhou, Hang Zhao Automated Synthesis of Mechanisms
Munyque Mittelmann, Bastien Maubert, Aniello Murano, Laurent Perrussel Automatic Recognition of Emotional Subgroups in Images
Emmeke Veltmeijer, Charlotte Gerritsen, Koen V. Hindriks AutoVideo: An Automated Video Action Recognition System
Daochen Zha, Zaid Pervaiz Bhat, Yi-Wei Chen, Yicheng Wang, Sirui Ding, Jiaben Chen, Kwei-Herng Lai, Mohammad Qazim Bhat, Anmoll Kumar Jain, Alfredo Costilla-Reyes, Na Zou, Xia Hu BandMaxSAT: A Local Search MaxSAT Solver with Multi-Armed Bandit
Jiongzhi Zheng, Kun He, Jianrong Zhou, Yan Jin, Chu-Min Li, Felip Manyà BayCon: Model-Agnostic Bayesian Counterfactual Generator
Piotr Romashov, Martin Gjoreski, Kacper Sokol, Maria Vanina Martinez, Marc Langheinrich Best Heuristic Identification for Constraint Satisfaction
Frédéric Koriche, Christophe Lecoutre, Anastasia Paparrizou, Hugues Wattez Better Collective Decisions via Uncertainty Reduction
Shiri Alouf-Heffetz, Laurent Bulteau, Edith Elkind, Nimrod Talmon, Nicholas Teh Better Embedding and More Shots for Few-Shot Learning
Ziqiu Chi, Zhe Wang, Mengping Yang, Wei Guo, Xinlei Xu Beyond Homophily: Structure-Aware Path Aggregation Graph Neural Network
Yifei Sun, Haoran Deng, Yang Yang, Chunping Wang, Jiarong Xu, Renhong Huang, Linfeng Cao, Yang Wang, Lei Chen Beyond Strong-Cyclic: Doing Your Best in Stochastic Environments
Benjamin Aminof, Giuseppe De Giacomo, Sasha Rubin, Florian Zuleger BiFSMN: Binary Neural Network for Keyword Spotting
Haotong Qin, Xudong Ma, Yifu Ding, Xiaoyang Li, Yang Zhang, Yao Tian, Zejun Ma, Jie Luo, Xianglong Liu Black-Box Audit of YouTube's Video Recommendation: Investigation of Misinformation Filter Bubble Dynamics (Extended Abstract)
Matús Tomlein, Branislav Pecher, Jakub Simko, Ivan Srba, Róbert Móro, Elena Stefancova, Michal Kompan, Andrea Hrckova, Juraj Podrouzek, Mária Bieliková Bootstrapping Informative Graph Augmentation via a Meta Learning Approach
Hang Gao, Jiangmeng Li, Wenwen Qiang, Lingyu Si, Fuchun Sun, Changwen Zheng Boundary-Guided Camouflaged Object Detection
Yujia Sun, Shuo Wang, Chenglizhao Chen, Tian-Zhu Xiang Budgeted Sequence Submodular Maximization
Xuefeng Chen, Liang Feng, Xin Cao, Yifeng Zeng, Yaqing Hou C3-STISR: Scene Text Image Super-Resolution with Triple Clues
Minyi Zhao, Miao Wang, Fan Bai, Bingjia Li, Jie Wang, Shuigeng Zhou Can Abnormality Be Detected by Graph Neural Networks?
Ziwei Chai, Siqi You, Yang Yang, Shiliang Pu, Jiarong Xu, Haoyang Cai, Weihao Jiang Can Buyers Reveal for a Better Deal?
Daniel Halpern, Gregory Kehne, Jamie Tucker-Foltz CARBEN: Composite Adversarial Robustness Benchmark
Lei Hsiung, Yun-Yun Tsai, Pin-Yu Chen, Tsung-Yi Ho CAT: Customized Adversarial Training for Improved Robustness
Minhao Cheng, Qi Lei, Pin-Yu Chen, Inderjit S. Dhillon, Cho-Jui Hsieh CERT: Continual Pre-Training on Sketches for Library-Oriented Code Generation
Daoguang Zan, Bei Chen, Dejian Yang, Zeqi Lin, Minsu Kim, Bei Guan, Yongji Wang, Weizhu Chen, Jian-Guang Lou Chronic Disease Management with Personalized Lab Test Response Prediction
Suman Bhoi, Mong-Li Lee, Wynne Hsu, Andrew Hao Sen Fang, Ngiap Chuan Tan Comparison Knowledge Translation for Generalizable Image Classification
Zunlei Feng, Tian Qiu, Sai Wu, Xiaotuan Jin, Zengliang He, Mingli Song, Huiqiong Wang Conditional Independence for Iterated Belief Revision
Gabriele Kern-Isberner, Jesse Heyninck, Christoph Beierle Contests to Incentivize a Target Group
Edith Elkind, Abheek Ghosh, Paul W. Goldberg Contrastive Multi-View Hyperbolic Hierarchical Clustering
Fangfei Lin, Bing Bai, Kun Bai, Yazhou Ren, Peng Zhao, Zenglin Xu Conversational Inequality Through the Lens of Political Interruption
Clay H. Yoo, Jiachen Wang, Yuxi Luo, Kunal Khadilkar, Ashiqur R. KhudaBukhsh Copy Motion from One to Another: Fake Motion Video Generation
Zhenguang Liu, Sifan Wu, Chejian Xu, Xiang Wang, Lei Zhu, Shuang Wu, Fuli Feng Cost Ensemble with Gradient Selecting for GANs
Minghui Liu, Jiali Deng, Meiyi Yang, Xuan Cheng, Nianbo Liu, Ming Liu, Xiaomin Wang Cumulative Stay-Time Representation for Electronic Health Records in Medical Event Time Prediction
Takayuki Katsuki, Kohei Miyaguchi, Akira Koseki, Toshiya Iwamori, Ryosuke Yanagiya, Atsushi Suzuki DANet: Image Deraining via Dynamic Association Learning
Kui Jiang, Zhongyuan Wang, Zheng Wang, Peng Yi, Junjun Jiang, Jinsheng Xiao, Chia-Wen Lin Data-Efficient Backdoor Attacks
Pengfei Xia, Ziqiang Li, Wei Zhang, Bin Li Dataset Augmentation in Papyrology with Generative Models: A Study of Synthetic Ancient Greek Character Images
Matthew I. Swindall, Timothy Player, Ben Keener, Alex C. Williams, James H. Brusuelas, Federica Nicolardi, Marzia D'Angelo, Claudio Vergara, Michael McOsker, John F. Wallin Decentralized Unsupervised Learning of Visual Representations
Yawen Wu, Zhepeng Wang, Dewen Zeng, Meng Li, Yiyu Shi, Jingtong Hu Deep Learning with Logical Constraints
Eleonora Giunchiglia, Mihaela Catalina Stoian, Thomas Lukasiewicz Deep Video Harmonization with Color Mapping Consistency
Xinyuan Lu, Shengyuan Huang, Li Niu, Wenyan Cong, Liqing Zhang Deexaggeration
Li Kong, Chuanyi Li, Vincent Ng Detecting and Understanding Harmful Memes: A Survey
Shivam Sharma, Firoj Alam, Md. Shad Akhtar, Dimitar Dimitrov, Giovanni Da San Martino, Hamed Firooz, Alon Y. Halevy, Fabrizio Silvestri, Preslav Nakov, Tanmoy Chakraborty Detecting Out-of-Context Objects Using Graph Contextual Reasoning Network
Manoj Acharya, Anirban Roy, Kaushik Koneripalli, Susmit Jha, Christopher Kanan, Ajay Divakaran Distortion in Voting with Top-T Preferences
Allan Borodin, Daniel Halpern, Mohamad Latifian, Nisarg Shah DivSwapper: Towards Diversified Patch-Based Arbitrary Style Transfer
Zhizhong Wang, Lei Zhao, Haibo Chen, Zhiwen Zuo, Ailin Li, Wei Xing, Dongming Lu Double-Check Soft Teacher for Semi-Supervised Object Detection
Kuo Wang, Yuxiang Nie, Chaowei Fang, Chengzhi Han, Xuewen Wu, Xiaohui Wang, Liang Lin, Fan Zhou, Guanbin Li Dynamic Domain Generalization
Zhishu Sun, Zhifeng Shen, Luojun Lin, Yuanlong Yu, Zhifeng Yang, Shicai Yang, Weijie Chen Dynamic Sparse Training for Deep Reinforcement Learning
Ghada Sokar, Elena Mocanu, Decebal Constantin Mocanu, Mykola Pechenizkiy, Peter Stone Efficient Budgeted Graph Search
Jasmeet Kaur, Nathan R. Sturtevant Efficient Document-Level Event Extraction via Pseudo-Trigger-Aware Pruned Complete Graph
Tong Zhu, Xiaoye Qu, Wenliang Chen, Zhefeng Wang, Baoxing Huai, Nicholas Jing Yuan, Min Zhang Efficient Neural Neighborhood Search for Pickup and Delivery Problems
Yining Ma, Jingwen Li, Zhiguang Cao, Wen Song, Hongliang Guo, Yuejiao Gong, Yeow Meng Chee Emotion-Controllable Generalized Talking Face Generation
Sanjana Sinha, Sandika Biswas, Ravindra Yadav, Brojeshwar Bhowmick Enhancing Sequential Recommendation with Graph Contrastive Learning
Yixin Zhang, Yong Liu, Yonghui Xu, Hao Xiong, Chenyi Lei, Wei He, Lizhen Cui, Chunyan Miao Enhancing the Transferability of Adversarial Examples with Random Patch
Yaoyuan Zhang, Yu-an Tan, Tian Chen, Xinrui Liu, Quanxin Zhang, Yuanzhang Li Ensemble Multi-Relational Graph Neural Networks
Yuling Wang, Hao Xu, Yanhua Yu, Mengdi Zhang, Zhenhao Li, Yuji Yang, Wei Wu Epistemic Logic of Likelihood and Belief
James P. Delgrande, Joshua Sack, Gerhard Lakemeyer, Maurice Pagnucco Evidential Reasoning and Learning: A Survey
Federico Cerutti, Lance M. Kaplan, Murat Sensoy Evolutionary Approach to Security Games with Signaling
Adam Zychowski, Jacek Mandziuk, Elizabeth Bondi, Aravind Venugopal, Milind Tambe, Balaraman Ravindran Exchangeability-Aware Sum-Product Networks
Stefan Lüdtke, Christian Bartelt, Heiner Stuckenschmidt Explaining the Behaviour of Hybrid Systems with PDDL+ Planning
Diego Aineto, Eva Onaindia, Miquel Ramírez, Enrico Scala, Ivan Serina ExplainIt!: A Tool for Computing Robust Attributions of DNNs
Sumit Kumar Jha, Alvaro Velasquez, Rickard Ewetz, Laura Pullum, Susmit Jha Explicit Alignment Learning for Neural Machine Translation
Zuchao Li, Hai Zhao, Fengshun Xiao, Masao Utiyama, Eiichiro Sumita Exploring Fourier Prior for Single Image Rain Removal
Xin Guo, Xueyang Fu, Man Zhou, Zhen Huang, Jialun Peng, Zheng-Jun Zha Fair Division of Indivisible Goods: A Survey
Georgios Amanatidis, Georgios Birmpas, Aris Filos-Ratsikas, Alexandros A. Voudouris Fair Equilibria in Sponsored Search Auctions: The Advertisers' Perspective
Georgios Birmpas, Andrea Celli, Riccardo Colini-Baldeschi, Stefano Leonardi Fallacious Argument Classification in Political Debates
Pierpaolo Goffredo, Shohreh Haddadan, Vorakit Vorakitphan, Elena Cabrio, Serena Villata Few-Shot Learning on Graphs
Chuxu Zhang, Kaize Ding, Jundong Li, Xiangliang Zhang, Yanfang Ye, Nitesh V. Chawla, Huan Liu Filtration-Enhanced Graph Transformation
Zijian Chen, Rong-Hua Li, Hongchao Qin, Huanzhong Duan, Yanxiong Lu, Qiangqiang Dai, Guoren Wang Fixed-Budget Best-Arm Identification in Structured Bandits
Mohammad Javad Azizi, Branislav Kveton, Mohammad Ghavamzadeh Forecasting Patient Outcomes in Kidney Exchange
Naveen Durvasula, Aravind Srinivasan, John P. Dickerson Forgiving Debt in Financial Network Games
Panagiotis Kanellopoulos, Maria Kyropoulou, Hao Zhou Fourier Analysis-Based Iterative Combinatorial Auctions
Jakob Weissteiner, Chris Wendler, Sven Seuken, Benjamin Lubin, Markus Püschel Gigs with Guarantees: Achieving Fair Wage for Food Delivery Workers
Ashish Nair, Rahul Yadav, Anjali Gupta, Abhijnan Chakraborty, Sayan Ranu, Amitabha Bagchi GL-RG: Global-Local Representation Granularity for Video Captioning
Liqi Yan, Qifan Wang, Yiming Cui, Fuli Feng, Xiaojun Quan, Xiangyu Zhang, Dongfang Liu Grape: Grammar-Preserving Rule Embedding
Qihao Zhu, Zeyu Sun, Wenjie Zhang, Yingfei Xiong, Lu Zhang Graph-Based Dynamic Word Embeddings
Yuyin Lu, Xin Cheng, Ziran Liang, Yanghui Rao GraphDIVE: Graph Classification by Mixture of Diverse Experts
Fenyu Hu, Liping Wang, Qiang Liu, Shu Wu, Liang Wang, Tieniu Tan Harnessing Fourier Isovists and Geodesic Interaction for Long-Term Crowd Flow Prediction
Samuel S. Sohn, Seonghyeon Moon, Honglu Zhou, Mihee Lee, Sejong Yoon, Vladimir Pavlovic, Mubbasir Kapadia Hidden 1-Counter Markov Models and How to Learn Them
Mehmet Kurucan, Mete Özbaltan, Sven Schewe, Dominik Wojtczak Hierarchical Diffusion Scattering Graph Neural Network
Ke Zhang, Xinyan Pu, Jiaxing Li, Jiasong Wu, Huazhong Shu, Youyong Kong HifiHead: One-Shot High Fidelity Neural Head Synthesis with 3D Control
Feida Zhu, Junwei Zhu, Wenqing Chu, Ying Tai, Zhifeng Xie, Xiaoming Huang, Chengjie Wang How to Sample Approval Elections?
Stanislaw Szufa, Piotr Faliszewski, Lukasz Janeczko, Martin Lackner, Arkadii Slinko, Krzysztof Sornat, Nimrod Talmon Human Parity on CommonsenseQA: Augmenting Self-Attention with External Attention
Yichong Xu, Chenguang Zhu, Shuohang Wang, Siqi Sun, Hao Cheng, Xiaodong Liu, Jianfeng Gao, Pengcheng He, Michael Zeng, Xuedong Huang Hypergraph Structure Learning for Hypergraph Neural Networks
Derun Cai, Moxian Song, Chenxi Sun, Baofeng Zhang, Shenda Hong, Hongyan Li I²R-Net: Intra- and Inter-Human Relation Network for Multi-Person Pose Estimation
Yiwei Ding, Wenjin Deng, Yinglin Zheng, Pengfei Liu, Meihong Wang, Xuan Cheng, Jianmin Bao, Dong Chen, Ming Zeng IDPT: Interconnected Dual Pyramid Transformer for Face Super-Resolution
Jingang Shi, Yusi Wang, Songlin Dong, Xiaopeng Hong, Zitong Yu, Fei Wang, Changxin Wang, Yihong Gong IMO3: Interactive Multi-Objective Off-Policy Optimization
Nan Wang, Hongning Wang, Maryam Karimzadehgan, Branislav Kveton, Craig Boutilier Improving Inductive Link Prediction Using Hyper-Relational Facts (Extended Abstract)
Mehdi Ali, Max Berrendorf, Mikhail Galkin, Veronika Thost, Tengfei Ma, Volker Tresp, Jens Lehmann Individual Fairness Guarantees for Neural Networks
Elias Benussi, Andrea Patanè, Matthew Wicker, Luca Laurenti, Marta Kwiatkowska Information Augmentation for Few-Shot Node Classification
Zongqian Wu, Peng Zhou, Guoqiu Wen, Yingying Wan, Junbo Ma, Debo Cheng, Xiaofeng Zhu Initializing Then Refining: A Simple Graph Attribute Imputation Network
Wenxuan Tu, Sihang Zhou, Xinwang Liu, Yue Liu, Zhiping Cai, En Zhu, Changwang Zhang, Jieren Cheng Interactive Concept-mAP Based Summaries for SEND Children
Martina Galletti, Michael Anslow, Francesca Bianchi, Manuela Calanca, Donatella Tomaiuoli, Remi van Trijp, Diletta Vedovelli, Eleonora Pasqua Interactive Information Extraction by Semantic Information Graph
Siqi Fan, Yequan Wang, Jing Li, Zheng Zhang, Shuo Shang, Peng Han Invasion Dynamics in the Biased Voter Process
Loke Durocher, Panagiotis Karras, Andreas Pavlogiannis, Josef Tkadlec Inverse Problems for Gradual Semantics
Nir Oren, Bruno Yun, Srdjan Vesic, Murilo S. Baptista Iterative Few-Shot Semantic Segmentation from Image Label Text
Haohan Wang, Liang Liu, Wuhao Zhang, Jiangning Zhang, Zhenye Gan, Yabiao Wang, Chengjie Wang, Haoqian Wang Itero: An Online Iterative Voting Application
Joseph Boudou, Rachael Colley, Umberto Grandi Knowledge-Based News Event Analysis and Forecasting Toolkit
Oktie Hassanzadeh, Parul Awasthy, Ken Barker, Onkar Bhardwaj, Debarun Bhattacharjya, Mark Feblowitz, Lee Martie, Jian Ni, Kavitha Srinivas, Lucy Yip Language Models as Knowledge Embeddings
Xintao Wang, Qianyu He, Jiaqing Liang, Yanghua Xiao Learning by Interpreting
Xuting Tang, Abdul Rafae Khan, Shusen Wang, Jia Xu Learning Coated Adversarial Camouflages for Object Detectors
Yexin Duan, Jialin Chen, Xingyu Zhou, Junhua Zou, Zhengyun He, Jin Zhang, Wu Zhang, Zhisong Pan Learning Curricula for Humans: An Empirical Study with Puzzles from the Witness
Levi H. S. Lelis, João Gabriel Gama Vila Nova, Eugene Chen, Nathan R. Sturtevant, Carrie Demmans Epp, Michael Bowling Learning Higher-Order Logic Programs from Failures
Stanislaw J. Purgal, David M. Cerna, Cezary Kaliszyk Learning Pollution Maps from Mobile Phone Images
Ankit Bhardwaj, Shiva R. Iyer, Yash Jalan, Lakshminarayanan Subramanian Learning Prototype via Placeholder for Zero-Shot Recognition
Zaiquan Yang, Yang Liu, Wenjia Xu, Chong Huang, Lei Zhou, Chao Tong Learning Realistic Patterns from Visually Unrealistic Stimuli: Generalization and Data Anonymization (Extended Abstract)
Konstantinos Nikolaidis, Stein Kristiansen, Thomas Plagemann, Vera Goebel, Knut Liestøl, Mohan S. Kankanhalli, Gunn Marit Traaen, Britt Øverland, Harriet Akre, Lars Aakerøy, Sigurd Steinshamn Learning to Assemble Geometric Shapes
Jinhwi Lee, Jungtaek Kim, Hyunsoo Chung, Jaesik Park, Minsu Cho Learning to Generate Image Source-Agnostic Universal Adversarial Perturbations
Pu Zhao, Parikshit Ram, Songtao Lu, Yuguang Yao, Djallel Bouneffouf, Xue Lin, Sijia Liu Learning to Generate Poetic Chinese Landscape Painting with Calligraphy
Shaozu Yuan, Aijun Dai, Zhiling Yan, Ruixue Liu, Meng Chen, Baoyang Chen, Zhijie Qiu, Xiaodong He Learning to Hash Naturally Sorts
Jiaguo Yu, Yuming Shen, Menghan Wang, Haofeng Zhang, Philip H. S. Torr Leveraging the Wikipedia Graph for Evaluating Word Embeddings
Joachim Giesen, Paul Kahlmeyer, Frank Nussbaum, Sina Zarrieß Lexicographic Multi-Objective Reinforcement Learning
Joar Skalse, Lewis Hammond, Charlie Griffin, Alessandro Abate Logit Mixing Training for More Reliable and Accurate Prediction
Duhyeon Bang, Kyungjune Baek, Jiwoo Kim, Yunho Jeon, Jin-Hwa Kim, Jiwon Kim, Jongwuk Lee, Hyunjung Shim Long-Term Spatio-Temporal Forecasting via Dynamic Multiple-Graph Attention
Wei Shao, Zhiling Jin, Shuo Wang, Yufan Kang, Xiao Xiao, Hamid Menouar, Zhaofeng Zhang, Junshan Zhang, Flora D. Salim LTLf Synthesis as AND-OR Graph Search: Knowledge Compilation at Work
Giuseppe De Giacomo, Marco Favorito, Jianwen Li, Moshe Y. Vardi, Shengping Xiao, Shufang Zhu Lyra: A Benchmark for Turducken-Style Code Generation
Qingyuan Liang, Zeyu Sun, Qihao Zhu, Wenjie Zhang, Lian Yu, Yingfei Xiong, Lu Zhang Making Sense of Raw Input (Extended Abstract)
Richard Evans, Matko Bosnjak, Lars Buesing, Kevin Ellis, David Pfau, Pushmeet Kohli, Marek J. Sergot Manipulating Elections by Changing Voter Perceptions
Junlin Wu, Andrew Estornell, Lecheng Kong, Yevgeniy Vorobeychik Max-Sum with Quadtrees for Decentralized Coordination in Continuous Domains
Dimitrios Troullinos, Georgios Chalkiadakis, Vasilis Samoladas, Markos Papageorgiou Maxmin Participatory Budgeting
Gogulapati Sreedurga, Mayank Ratan Bhardwaj, Yadati Narahari Measuring the Occupational Impact of AI: Tasks, Cognitive Abilities and AI Benchmarks (Extended Abstract)
Songül Tolan, Annarosa Pesole, Fernando Martínez-Plumed, Enrique Fernández-Macías, José Hernández-Orallo, Emilia Gómez Membership Inference via Backdooring
Hongsheng Hu, Zoran Salcic, Gillian Dobbie, Jinjun Chen, Lichao Sun, Xuyun Zhang Memory Augmented State Space Model for Time Series Forecasting
Yinbo Sun, Lintao Ma, Yu Liu, Shijun Wang, James Zhang, Yangfei Zheng, Hu Yun, Lei Lei, Yulin Kang, Llinbao Ye MERIT: Learning Multi-Level Representations on Temporal Graphs
Binbin Hu, Zhengwei Wu, Jun Zhou, Ziqi Liu, Zhigang Huangfu, Zhiqiang Zhang, Chaochao Chen Meta-Learning Based Knowledge Extrapolation for Knowledge Graphs in the Federated Setting
Mingyang Chen, Wen Zhang, Zhen Yao, Xiangnan Chen, Mengxiao Ding, Fei Huang, Huajun Chen MFAN: Multi-Modal Feature-Enhanced Attention Networks for Rumor Detection
Jiaqi Zheng, Xi Zhang, Sanchuan Guo, Quan Wang, Wenyu Zang, Yongdong Zhang Mixed Strategies for Security Games with General Defending Requirements
Rufan Bai, Haoxing Lin, Xinyu Yang, Xiaowei Wu, Minming Li, Weijia Jia MLP4Rec: A Pure MLP Architecture for Sequential Recommendations
Muyang Li, Xiangyu Zhao, Chuan Lyu, Minghao Zhao, Runze Wu, Ruocheng Guo MMT: Multi-Way Multi-Modal Transformer for Multimodal Learning
Jiajia Tang, Kang Li, Ming Hou, Xuanyu Jin, Wanzeng Kong, Yu Ding, Qibin Zhao MNet: Rethinking 2D/3D Networks for Anisotropic Medical Image Segmentation
Zhangfu Dong, Yuting He, Xiaoming Qi, Yang Chen, Huazhong Shu, Jean-Louis Coatrieux, Guanyu Yang, Shuo Li MotionMixer: MLP-Based 3D Human Body Pose Forecasting
Arij Bouazizi, Adrian Holzbock, Ulrich Kressel, Klaus Dietmayer, Vasileios Belagiannis Multi-Agent Concentrative Coordination with Decentralized Task Representation
Lei Yuan, Chenghe Wang, Jianhao Wang, Fuxiang Zhang, Feng Chen, Cong Guan, Zongzhang Zhang, Chongjie Zhang, Yang Yu Multi-Agent Intention Progression with Reward Machines
Michael Dann, Yuan Yao, Natasha Alechina, Brian Logan, John Thangarajah Multi-Constraint Deep Reinforcement Learning for Smooth Action Control
Guangyuan Zou, Ying He, F. Richard Yu, Longquan Chen, Weike Pan, Zhong Ming Multi-Graph Fusion Networks for Urban Region Embedding
Shangbin Wu, Xu Yan, Xiaoliang Fan, Shirui Pan, Shichao Zhu, Chuanpan Zheng, Ming Cheng, Cheng Wang Multi-Level Consistency Learning for Semi-Supervised Domain Adaptation
Zizheng Yan, Yushuang Wu, Guanbin Li, Yipeng Qin, Xiaoguang Han, Shuguang Cui Multi-Policy Grounding and Ensemble Policy Learning for Transfer Learning with Dynamics Mismatch
Hyun-Rok Lee, Ram Ananth Sreenivasan, Yeonjeong Jeong, Jongseong Jang, Dongsub Shim, Chi-Guhn Lee Multi-View Unsupervised Graph Representation Learning
Jiangzhang Gan, Rongyao Hu, Mengmeng Zhan, Yujie Mo, Yingying Wan, Xiaofeng Zhu Multi-View Visual Semantic Embedding
Zheng Li, Caili Guo, Zerun Feng, Jenq-Neng Hwang, Xijun Xue Mutual Distillation Learning Network for Trajectory-User Linking
Wei Chen, Shuzhe Li, Chao Huang, Yanwei Yu, Yongguo Jiang, Junyu Dong Network Creation with Homophilic Agents
Martin Bullinger, Pascal Lenzner, Anna Melnichenko Neural Contextual Anomaly Detection for Time Series
Chris U. Carmona, François-Xavier Aubet, Valentin Flunkert, Jan Gasthaus Neural Network Pruning by Cooperative Coevolution
Haopu Shang, Jia-Liang Wu, Wenjing Hong, Chao Qian Neural Re-Ranking in Multi-Stage Recommender Systems: A Review
Weiwen Liu, Yunjia Xi, Jiarui Qin, Fei Sun, Bo Chen, Weinan Zhang, Rui Zhang, Ruiming Tang Non-Euclidean Self-Organizing Maps
Dorota Celinska-Kopczynska, Eryk Kopczynski Not a Number: Identifying Instance Features for Capability-Oriented Evaluation
Ryan Burnell, John Burden, Danaja Rutar, Konstantinos Voudouris, Lucy Cheke, José Hernández-Orallo Offline Time-Independent Multi-Agent Path Planning
Keisuke Okumura, François Bonnet, Yasumasa Tamura, Xavier Défago Offline Vehicle Routing Problem with Online Bookings: A Novel Problem Formulation with Applications to Paratransit
Amutheezan Sivagnanam, Salah Uddin Kadir, Ayan Mukhopadhyay, Philip Pugliese, Abhishek Dubey, Samitha Samaranayake, Aron Laszka On Attacking Out-Domain Uncertainty Estimation in Deep Neural Networks
Huimin Zeng, Zhenrui Yue, Yang Zhang, Ziyi Kou, Lanyu Shang, Dong Wang On Discrete Truthful Heterogeneous Two-Facility Location
Panagiotis Kanellopoulos, Alexandros A. Voudouris, Rongsen Zhang On Preferences and Priority Rules in Abstract Argumentation
Gianvincenzo Alfano, Sergio Greco, Francesco Parisi, Irina Trubitsyna On Preferred Abductive Explanations for Decision Trees and Random Forests
Gilles Audemard, Steve Bellart, Louenas Bounia, Frédéric Koriche, Jean-Marie Lagniez, Pierre Marquis On the Computational Complexity of Model Reconciliations
Sarath Sreedharan, Pascal Bercher, Subbarao Kambhampati On the Convergence of Fictitious Play: A Decomposition Approach
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