IJCAI

FedConPE: Efficient Federated Conversational Bandits with Heterogeneous Clients

Zhuohua Li, Maoli Liu, John C. S. Lui

Comments Accepted to the 33rd International Joint Conference on Artificial Intelligence (IJCAI), 2024

Encoding Temporal Statistical-space Priors via Augmented Representation

Insu Choi, Woosung Koh, Gimin Kang, Yuntae Jang, Woo Chang Kim

Comments IJCAI 2024 STRL Workshop (Oral)

Non-Euclidean Self-Organizing Maps

Dorota Celińska-Kopczyńska, Eryk Kopczyński

Comments Accepted to IJCAI 2022

Learning Fair Cooperation in Mixed-Motive Games with Indirect Reciprocity

Martin Smit, Fernando P. Santos

Comments Main text (9 pages, 6 figures) and appendix (7 pages, 4 figures)

Journal ref Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence Main Track (2024). Pages 220-228

Digital Avatars: Framework Development and Their Evaluation

Timothy Rupprecht, Sung-En Chang, Yushu Wu, Lei Lu, Enfu Nan, Chih-hsiang Li, Caiyue Lai, Zhimin Li, Zhijun Hu, Yumei He, David Kaeli, Yanzhi Wang

Comments This work was presented during the IJCAI 2024 conference proceedings for demonstrations

Journal ref 2024 Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence Demo Track. Pages 8780-8783

Dilated Convolution with Learnable Spacings makes visual models more aligned with humans: a Grad-CAM study

Rabih Chamas, Ismail Khalfaoui-Hassani, Timothee Masquelier

Comments Accepted at The Trustworthy AI Workshop, IJCAI 2024

Prototype Learning for Micro-gesture Classification

Guoliang Chen, Fei Wang, Kun Li, Zhiliang Wu, Hehe Fan, Yi Yang, Meng Wang, Dan Guo

Comments 1st Place in Micro-gesture Classification in MiGA at IJCAI-2024

WWW: Where, Which and Whatever Enhancing Interpretability in Multimodal Deepfake Detection

Juho Jung, Sangyoun Lee, Jooeon Kang, Yunjin Na

Comments 4 pages, 2 figures, 2 tables, Accepted as Oral Presentation at The Trustworthy AI Workshop @ IJCAI 2024

Cooperation and Control in Delegation Games

Oliver Sourbut, Lewis Hammond, Harriet Wood

Comments Published at IJCAI 2024

MARCO: A Memory-Augmented Reinforcement Framework for Combinatorial Optimization

Andoni I. Garmendia, Quentin Cappart, Josu Ceberio, Alexander Mendiburu

Journal ref Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, IJCAI-24 (2024) 6931-6939

Social Learning through Interactions with Other Agents: A Survey

Dylan Hillier, Cheston Tan, Jing Jiang

Comments To be published in IJCAI 2024, available on http://www.ijcai.org

Markov Constraint as Large Language Model Surrogate

Alexandre Bonlarron, Jean-Charles Régin

Comments To appear at The 33rd International Joint Conference on Artificial Intelligence, IJCAI-24 (in press)

Journal ref Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence Main Track. Pages 1844-1852. Year 2024

Reassessing Evaluation Functions in Algorithmic Recourse: An Empirical Study from a Human-Centered Perspective

Tomu Tominaga, Naomi Yamashita, Takeshi Kurashima

Comments Accepted at IJCAI 2024 (this is the extended version with supplementary materials)

StackFLOW: Monocular Human-Object Reconstruction by Stacked Normalizing Flow with Offset

Chaofan Huo, Ye Shi, Yuexin Ma, Lan Xu, Jingyi Yu, Jingya Wang

Comments Accepted by IJCAI-23

Boosting Efficiency in Task-Agnostic Exploration through Causal Knowledge

Yupei Yang, Biwei Huang, Shikui Tu, Lei Xu

Comments This paper was accepted by IJCAI'24

GigaPevt: Multimodal Medical Assistant

Pavel Blinov, Konstantin Egorov, Ivan Sviridov, Nikolay Ivanov, Stepan Botman, Evgeniy Tagin, Stepan Kudin, Galina Zubkova, Andrey Savchenko

Comments IJCAI 2024, 4 pages, 2 figures, 2 tables

Journal ref Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence (IJCAI) Demo Track, 2024, pp. 8614-8618

Low-Latency Privacy-Preserving Deep Learning Design via Secure MPC

Ke Lin, Yasir Glani, Ping Luo

Comments 9 pages, accepted at IJCAI'24 AISafety

Finding Increasingly Large Extremal Graphs with AlphaZero and Tabu Search

Abbas Mehrabian, Ankit Anand, Hyunjik Kim, Nicolas Sonnerat, Matej Balog, Gheorghe Comanici, Tudor Berariu, Andrew Lee, Anian Ruoss, Anna Bulanova, Daniel Toyama, Sam Blackwell, Bernardino Romera Paredes, Petar Veličković, Laurent Orseau, Joonkyung Lee, Anurag Murty Naredla, Doina Precup, Adam Zsolt Wagner

Comments To appear in the proceedings of IJCAI 2024. First three authors contributed equally, last two authors made equal senior contribution

Detecting and Understanding Vulnerabilities in Language Models via Mechanistic Interpretability

Jorge García-Carrasco, Alejandro Maté, Juan Trujillo

Journal ref Proceedings of the Thirty-Third International Joint Converence on Artificial Intelligence, IJCAI 2024 (pp.385-393)

Imprecise Probabilities Meet Partial Observability: Game Semantics for Robust POMDPs

Eline M. Bovy, Marnix Suilen, Sebastian Junges, Nils Jansen

Comments Accepted at IJCAI 2024

Interpretable Network Visualizations: A Human-in-the-Loop Approach for Post-hoc Explainability of CNN-based Image Classification

Matteo Bianchi, Antonio De Santis, Andrea Tocchetti, Marco Brambilla

Comments International Joint Conference on Artificial Intelligence 2024 (to be published)

Journal ref IJCAI 2024

Dynamically Anchored Prompting for Task-Imbalanced Continual Learning

Chenxing Hong, Yan Jin, Zhiqi Kang, Yizhou Chen, Mengke Li, Yang Lu, Hanzi Wang

Comments Accepted by IJCAI 2024

Robust Losses for Decision-Focused Learning

Noah Schutte, Krzysztof Postek, Neil Yorke-Smith

Comments 10 pages, 3 figures

Journal ref Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, IJCAI-24, pages 4868-4875, 2024

Contrastive Learning Is Not Optimal for Quasiperiodic Time Series

Adrian Atienza, Jakob Bardram, Sadasivan Puthusserypady

Comments Accepted to IJCAI 2024

Exterior Penalty Policy Optimization with Penalty Metric Network under Constraints

Shiqing Gao, Jiaxin Ding, Luoyi Fu, Xinbing Wang, Chenghu Zhou

Comments To be published in the 33rd International Joint Conference on Artificial Intelligence (IJCAI 2024)

The Extrapolation Power of Implicit Models

Juliette Decugis, Alicia Y. Tsai, Max Emerling, Ashwin Ganesh, Laurent El Ghaoui

Comments Accepted at the Workshop on Explainable Artificial Intelligence (XAI) at IJCAI 2024

A Novel GAN Approach to Augment Limited Tabular Data for Short-Term Substance Use Prediction

Nguyen Thach, Patrick Habecker, Bergen Johnston, Lillianna Cervantes, Anika Eisenbraun, Alex Mason, Kimberly Tyler, Bilal Khan, Hau Chan

Comments Accepted in IJCAI 2024

Detecting out-of-distribution text using topological features of transformer-based language models

Andres Pollano, Anupam Chaudhuri, Anj Simmons

Comments 8 pages, 6 figures, 3 tables, to be published in proceedings of the IJCAI-2024 AISafety Workshop

Adversarial Bi-Regressor Network for Domain Adaptive Regression

Haifeng Xia, Pu Perry Wang, Toshiaki Koike-Akino, Ye Wang, Philip Orlik, Zhengming Ding

Comments 7 pages, 5 figures; IJCAI 2022; tested in the SPAWC2021 dataset for indoor localization

Shap-Mix: Shapley Value Guided Mixing for Long-Tailed Skeleton Based Action Recognition

Jiahang Zhang, Lilang Lin, Jiaying Liu

Comments Accepted by IJCAI 2024. Project Website: https://jhang2020.github.io/Projects/Shap-Mix/Shap-Mix.html