IJCAI

Relational Action Bases: Formalization, Effective Safety Verification, and Invariants (Extended Version)

Silvio Ghilardi, Alessandro Gianola, Marco Montali, Andrey Rivkin

Comments Extended version of the conference paper 'Safety Verification and Universal Invariants for Relational Action Bases' by the same authors, accepted at the 32nd International Joint Conference on Artificial Intelligence (IJCAI 2023)

Active Visual Exploration Based on Attention-Map Entropy

Adam Pardyl, Grzegorz Rypeść, Grzegorz Kurzejamski, Bartosz Zieliński, Tomasz Trzciński

Comments IJCAI 2023

SecureBoost Hyperparameter Tuning via Multi-Objective Federated Learning

Ziyao Ren, Yan Kang, Lixin Fan, Linghua Yang, Yongxin Tong, Qiang Yang

Comments FL-IJCAI'23

Shielding Federated Learning: Robust Aggregation with Adaptive Client Selection

Wei Wan, Shengshan Hu, Jianrong Lu, Leo Yu Zhang, Hai Jin, Yuanyuan He

Comments This paper has been published on the 31st International Joint Conference on Artificial Intelligence (IJCAI-22, Main Track, LONG Oral Presentation)

Meta-Tsallis-Entropy Minimization: A New Self-Training Approach for Domain Adaptation on Text Classification

Menglong Lu, Zhen Huang, Zhiliang Tian, Yunxiang Zhao, Xuanyu Fei, Dongsheng Li

Comments This paper was accepted by IJCAI 2023, and the uploaded file includes 9 pages of main contents(including two pages of reference) plus 10 pages of appendix

Elastically-Constrained Meta-Learner for Federated Learning

Peng Lan, Donglai Chen, Chong Xie, Keshu Chen, Jinyuan He, Juntao Zhang, Yonghong Chen, Yan Xu

Comments FL-IJCAI'23

DiSProD: Differentiable Symbolic Propagation of Distributions for Planning

Palash Chatterjee, Ashutosh Chapagain, Weizhe Chen, Roni Khardon

Comments International Joint Conference on Artificial Intelligence (IJCAI) 2023. For project website, see https://pecey.github.io/DiSProD/

Model Conversion via Differentially Private Data-Free Distillation

Bochao Liu, Pengju Wang, Shikun Li, Dan Zeng, Shiming Ge

Comments Published at IJCAI 2023

ProMix: Combating Label Noise via Maximizing Clean Sample Utility

Ruixuan Xiao, Yiwen Dong, Haobo Wang, Lei Feng, Runze Wu, Gang Chen, Junbo Zhao

Comments Accepted to IJCAI 2023; A previous version won the 1st LMNL Challenge in IJCAI 2022

FinVis-GPT: A Multimodal Large Language Model for Financial Chart Analysis

Ziao Wang, Yuhang Li, Junda Wu, Jaehyeon Soon, Xiaofeng Zhang

Comments (FinLLM 2023)@IJCAI 2023

An Effective Data Creation Pipeline to Generate High-quality Financial Instruction Data for Large Language Model

Ziao Wang, Jianning Wang, Junda Wu, Xiaofeng Zhang

Comments (FinLLM 2023)@IJCAI 2023

Scene Separation & Data Selection: Temporal Segmentation Algorithm for Real-Time Video Stream Analysis

Yuelin Xin, Zihan Zhou, Yuxuan Xia

Comments 5 pages, 4 figures, at IJCAI-ECAI 2022 workshop, First International Workshop on Spatio-Temporal Reasoning and Learning, July 24, 2022, Vienna, Austria

Journal ref CEUR.Workshop.Proceedings.2022.Vol-3190.paper2

FedNoRo: Towards Noise-Robust Federated Learning by Addressing Class Imbalance and Label Noise Heterogeneity

Nannan Wu, Li Yu, Xuefeng Jiang, Kwang-Ting Cheng, Zengqiang Yan

Comments Accepted by IJCAI 2023 (Main Track)

Ranking-based Argumentation Semantics Applied to Logical Argumentation (full version)

Jesse Heyninck, Badran Raddaoui, Christian Straßer

Comments Accepted for the 32nd International Joint Conference on Artificial Intelligence (IJCAI 2023). Full version including proofs

A Noisy-Label-Learning Formulation for Immune Repertoire Classification and Disease-Associated Immune Receptor Sequence Identification

Mingcai Chen, Yu Zhao, Zhonghuang Wang, Bing He, Jianhua Yao

Comments IJCAI 2023

Exploring the Benefits of Teams in Multiagent Learning

David Radke, Kate Larson, Tim Brecht

Comments 10 pages, 6 figures, Published at IJCAI 2022. arXiv admin note: text overlap with arXiv:2204.07471

HyperFed: Hyperbolic Prototypes Exploration with Consistent Aggregation for Non-IID Data in Federated Learning

Xinting Liao, Weiming Liu, Chaochao Chen, Pengyang Zhou, Huabin Zhu, Yanchao Tan, Jun Wang, Yue Qi

Comments IJCAI 2023

Beyond Strict Competition: Approximate Convergence of Multi Agent Q-Learning Dynamics

Aamal Hussain, Francesco Belardinelli, Georgios Piliouras

Comments Presented at IJCAI 2023

Towards Hierarchical Policy Learning for Conversational Recommendation with Hypergraph-based Reinforcement Learning

Sen Zhao, Wei Wei, Yifan Liu, Ziyang Wang, Wendi Li, Xian-Ling Mao, Shuai Zhu, Minghui Yang, Zujie Wen

Journal ref THE 32nd INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE (IJCAI2023)

Measuring Perceived Trust in XAI-Assisted Decision-Making by Eliciting a Mental Model

Mohsen Abbaspour Onari, Isel Grau, Marco S. Nobile, Yingqian Zhang

Comments Accepted in IJCAI 2023 Workshop on Explainable Artificial Intelligence (XAI)

Choosing Well Your Opponents: How to Guide the Synthesis of Programmatic Strategies

Rubens O. Moraes, David S. Aleixo, Lucas N. Ferreira, Levi H. S. Lelis

Comments International Joint Conference on Artificial Intelligence (IJCAI) 2023

Reconstruction-Aware Prior Distillation for Semi-supervised Point Cloud Completion

Zhaoxin Fan, Yulin He, Zhicheng Wang, Kejian Wu, Hongyan Liu, Jun He

Comments Accepted to IJCAI 2023

Towards Generalizable Reinforcement Learning for Trade Execution

Chuheng Zhang, Yitong Duan, Xiaoyu Chen, Jianyu Chen, Jian Li, Li Zhao

Comments Accepted by IJCAI-23

Refining the Optimization Target for Automatic Univariate Time Series Anomaly Detection in Monitoring Services

Manqing Dong, Zhanxiang Zhao, Yitong Geng, Wentao Li, Wei Wang, Huai Jiang

Comments Accepted by 2023 IJCAI Workshop

Joint Skeletal and Semantic Embedding Loss for Micro-gesture Classification

Kun Li, Dan Guo, Guoliang Chen, Xinge Peng, Meng Wang

Comments 1st Place in Micro-gesture Classification sub-challenge in MiGA at IJCAI-2023

Disentangling Societal Inequality from Model Biases: Gender Inequality in Divorce Court Proceedings

Sujan Dutta, Parth Srivastava, Vaishnavi Solunke, Swaprava Nath, Ashiqur R. KhudaBukhsh

Comments This paper is accepted at IJCAI 2023 (AI for good track)

Scalable Coupling of Deep Learning with Logical Reasoning

Marianne Defresne, Sophie Barbe, Thomas Schiex

Comments 10 pages, 2 figures, 6 tables. Published in IJCAI'2023 proceedings

Distributional Multi-Objective Decision Making

Willem Röpke, Conor F. Hayes, Patrick Mannion, Enda Howley, Ann Nowé, Diederik M. Roijers

Comments Accepted at IJCAI 2023

FedDWA: Personalized Federated Learning with Dynamic Weight Adjustment

Jiahao Liu, Jiang Wu, Jinyu Chen, Miao Hu, Yipeng Zhou, Di Wu

Comments Accepted by IJCAI 2023, camera ready version with appendix

NeurASP: Embracing Neural Networks into Answer Set Programming

Zhun Yang, Adam Ishay, Joohyung Lee

Comments 16 pages, 29th International Joint Conference on Artificial Intelligence (IJCAI 2020). arXiv admin note: substantial text overlap with arXiv:2009.10256