IJCAI

Publications

2023

Elias Schede, Jasmin Brandt, Alexander Tornede, Marcel Wever, Viktor Bengs, Eyke Hüllermeier, Kevin Tierney
A Survey of Methods for Automated Algorithm Configuration (Extended Abstract). IJCAI (2023)
Huiyuan Chen, Kaixiong Zhou, Zhimeng Jiang, Chin-Chia Michael Yeh, Xiaoting Li, Menghai Pan, Yan Zheng, Xia Hu, Hao Yang
Probabilistic Masked Attention Networks for Explainable Sequential Recommendation. IJCAI (2023)
Redha Taguelmimt, Samir Aknine, Djamila Boukredera, Narayan Changder, Tuomas Sandholm
Optimal Anytime Coalition Structure Generation Utilizing Compact Solution Space Representation. IJCAI (2023)
Yao Zhang, Xiuzhen Zhang, Dengji Zhao
Task Allocation on Networks with Execution Uncertainty (Extended Abstract)∗. IJCAI (2023)
Xiaohan Yu, Jun Wang, Yongsheng Gao
CLE-ViT: Contrastive Learning Encoded Transformer for Ultra-Fine-Grained Visual Categorization. IJCAI (2023)
Prabhant Singh, Joaquin Vanschoren
AutoML for Outlier Detection with Optimal Transport Distances. IJCAI (2023)
Xiaolin Zheng, Mengpu Liu, Mengying Zhu
Deep Hashing-based Dynamic Stock Correlation Estimation via Normalizing Flow. IJCAI (2023)
Emanuel Tewolde, Caspar Oesterheld, Vincent Conitzer, Paul W. Goldberg
The Computational Complexity of Single-Player Imperfect-Recall Games. IJCAI (2023)
Farhad Mohsin, Ao Liu, Pin-Yu Chen, Francesca Rossi, Lirong Xia
Learning to Design Fair and Private Voting Rules (Extended Abstract). IJCAI (2023)
Kuruge Darshana Abeyrathna, Ahmed Abdulrahem Othman Abouzeid, Bimal Bhattarai, Charul Giri, Sondre Glimsdal, Ole-Christoffer Granmo, Lei Jiao, Rupsa Saha, Jivitesh Sharma, Svein Anders Tunheim, Xuan Zhang
Building Concise Logical Patterns by Constraining Tsetlin Machine Clause Size. IJCAI (2023)
Zhivar Sourati, Filip Ilievski, Hông-Ân Sandlin, Alain Mermoud
Case-Based Reasoning with Language Models for Classification of Logical Fallacies. IJCAI (2023)
Debarun Bhattacharjya, Oktie Hassanzadeh, Ronny Luss, Keerthiram Murugesan
Probabilistic Rule Induction from Event Sequences with Logical Summary Markov Models. IJCAI (2023)
Jialu Bao, Nitesh Trivedi, Drashti Pathak, Justin Hsu, Subhajit Roy
Data-Driven Invariant Learning for Probabilistic Programs (Extended Abstract). IJCAI (2023)
Adel Khorramrouz, Sujan Dutta, Ashiqur R. KhudaBukhsh
For Women, Life, Freedom: A Participatory AI-Based Social Web Analysis of a Watershed Moment in Iran's Gender Struggles. IJCAI (2023)
Vojtech Kovarík, Caspar Oesterheld, Vincent Conitzer
Game Theory with Simulation of Other Players. IJCAI (2023)
Dmitrii Avdiukhin, Grigory Yaroslavtsev
HOUDINI: Escaping from Moderately Constrained Saddles. IJCAI (2023)
Hao Dong, Zhiyuan Ning, Pengyang Wang, Ziyue Qiao, Pengfei Wang, Yuanchun Zhou, Yanjie Fu
Adaptive Path-Memory Network for Temporal Knowledge Graph Reasoning. IJCAI (2023)
Pascal Kunz, Hendrik Molter, Meirav Zehavi
In Which Graph Structures Can We Efficiently Find Temporally Disjoint Paths and Walks? IJCAI (2023)
Markus B. Pettersson, Mohammad Kakooei, Julia Ortheden, Fredrik D. Johansson, Adel Daoud
Time Series of Satellite Imagery Improve Deep Learning Estimates of Neighborhood-Level Poverty in Africa. IJCAI (2023)
Yang Li, Liangliang Shi, Junchi Yan
IID-GAN: an IID Sampling Perspective for Regularizing Mode Collapse. IJCAI (2023)
Sheung Man Yuen, Warut Suksompong
Approximate Envy-Freeness in Graphical Cake Cutting. IJCAI (2023)
Takayuki Osogami, Segev Wasserkrug, Elisheva S. Shamash
Learning Efficient Truthful Mechanisms for Trading Networks. IJCAI (2023)
Fatemeh Abdollahi, Saqib Ameen, Matthew E. Taylor, Levi H. S. Lelis
Can You Improve My Code? Optimizing Programs with Local Search. IJCAI (2023)
Shuang Lian, Jiangrong Shen, Qianhui Liu, Ziming Wang, Rui Yan, Huajin Tang
Learnable Surrogate Gradient for Direct Training Spiking Neural Networks. IJCAI (2023)
Borui Cai, Yong Xiang, Longxiang Gao, He Zhang, Yunfeng Li, Jianxin Li
Temporal Knowledge Graph Completion: A Survey. IJCAI (2023)
Yang Bai, Min Cao, Daming Gao, Ziqiang Cao, Chen Chen, Zhenfeng Fan, Liqiang Nie, Min Zhang
RaSa: Relation and Sensitivity Aware Representation Learning for Text-based Person Search. IJCAI (2023)
Yilin Wang, Nan Cao, Teng Zhang, Xuanhua Shi, Hai Jin
Scalable Optimal Margin Distribution Machine. IJCAI (2023)
Panayiotis Danassis, Shresth Verma, Jackson A. Killian, Aparna Taneja, Milind Tambe
Limited Resource Allocation in a Non-Markovian World: The Case of Maternal and Child Healthcare. IJCAI (2023)
Wonchul Shin, Yusung Kim
Guide to Control: Offline Hierarchical Reinforcement Learning Using Subgoal Generation for Long-Horizon and Sparse-Reward Tasks. IJCAI (2023)
Peng Jin, Hao Li, Zesen Cheng, Jinfa Huang, Zhennan Wang, Li Yuan, Chang Liu, Jie Chen
Text-Video Retrieval with Disentangled Conceptualization and Set-to-Set Alignment. IJCAI (2023)
Zahra Atashgahi
Cost-effective Artificial Neural Networks. IJCAI (2023)
Connor Pryor, Charles Dickens, Eriq Augustine, Alon Albalak, William Yang Wang, Lise Getoor
NeuPSL: Neural Probabilistic Soft Logic. IJCAI (2023)
Sarah Keren, David Wies, Sara Bernardini
Helpful Information Sharing for Partially Informed Planning Agents. IJCAI (2023)
Yasushi Kawase, Hanna Sumita, Yu Yokoi
Random Assignment of Indivisible Goods under Constraints. IJCAI (2023)
Miquel Bofill, Jordi Coll, Marc Garcia, Jesús Giráldez-Cru, Gilles Pesant, Josep Suy, Mateu Villaret
Constraint Solving Approaches to the Business-to-Business Meeting Scheduling Problem (Extended Abstract). IJCAI (2023)
Ankan Mullick
Exploring Multilingual Intent Dynamics and Applications. IJCAI (2023)
Claudio S. Pinhanez, Paulo R. Cavalin, Marisa Vasconcelos, Julio Nogima
Balancing Social Impact, Opportunities, and Ethical Constraints of Using AI in the Documentation and Vitalization of Indigenous Languages. IJCAI (2023)
Xinyu Fu, Irwin King
FedHGN: A Federated Framework for Heterogeneous Graph Neural Networks. IJCAI (2023)
Rui Sun, Naisong Luo, Yuwen Pan, Huayu Mai, Tianzhu Zhang, Zhiwei Xiong, Feng Wu
Appearance Prompt Vision Transformer for Connectome Reconstruction. IJCAI (2023)
Xiangyang Zhu, Yiling Pan, Bailin Deng, Bin Wang
Efficient Multi-View Inverse Rendering Using a Hybrid Differentiable Rendering Method. IJCAI (2023)
Runzhong Zhang, Suchen Wang, Yueqi Duan, Yansong Tang, Yue Zhang, Yap-Peng Tan
HOI-aware Adaptive Network for Weakly-supervised Action Segmentation. IJCAI (2023)
Pei Yu, Liang Zhang, Biao Fu, Yidong Chen
Efficient Sign Language Translation with a Curriculum-based Non-autoregressive Decoder. IJCAI (2023)
Luke Thorburn, Maria Polukarov, Carmine Ventre
Error in the Euclidean Preference Model. IJCAI (2023)
Margot Herin, Patrice Perny, Nataliya Sokolovska
Learning Preference Models with Sparse Interactions of Criteria. IJCAI (2023)
Zinuo Li, Xuhang Chen, Shuqiang Wang, Chi-Man Pun
A Large-Scale Film Style Dataset for Learning Multi-frequency Driven Film Enhancement. IJCAI (2023)
Meimei Yang, Pengfei Fang, Hui Xue
Expanding the Hyperbolic Kernels: A Curvature-aware Isometric Embedding View. IJCAI (2023)
Yuexuan An, Xingyu Zhao, Hui Xue
Learning to Learn from Corrupted Data for Few-Shot Learning. IJCAI (2023)
Hua Jiang, Zhifei Zheng
An Exact Algorithm for the Minimum Dominating Set Problem. IJCAI (2023)
Shijie Luo, He Li, Jianbin Huang
Dynamic Group Link Prediction in Continuous-Time Interaction Network. IJCAI (2023)
Jingyi Ju, Buzhen Huang, Chen Zhu, Zhihao Li, Yangang Wang
Physics-Guided Human Motion Capture with Pose Probability Modeling. IJCAI (2023)