18 Papers Accepted at ICML 2025

A total of 18 papers from A*STAR have been accepted at the International Conference on Machine Learning (ICML) 2025, one of the top-tier conferences for researchers and practitioners in machine learning. The conference will be held from 13 July to 19 July this year, at the Vancouver Convention Center in Vancouver, Canada.

We extend our sincere congratulations to all researchers whose work has been accepted at ICML 2025!

A*STAR’s accepted papers at ICLR 2025:

1. Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees
   Yannis Montreuil, Axel Carlier, Lai Xing Ng, Wei Tsang Ooi
2. A Two-Stage Learning-to-Defer Approach for Multi-Task Learning
   Yannis Montreuil, Yeo Shu Heng, Wei Tsang Ooi, Lai Xing Ng, Axel Carlier
3. Deep Unsupervised Hashing via External Guidance
   Qihong Song, XitingLiu, Hongyuan Zhu, Joey Tianyi Zhou, Xi Peng, Peng Hu
4. Counterfactual Contrastive Learning with Normalizing Flows for Robust Treatment Effect Estimation
   Jiaxuan Zhang, Emadeldeen Eldele, Fuyuan CAO, Yang Wang, Xiaoli Li, Jiye Liang
5. NICE: Non-differentiable Evaluation Metric-based Data Selection for Instruction Tuning
   Jingtan Wang, Xiaoqiang Lin, Rui Qiao, Pang Wei Koh, Chuan-Sheng Foo, Bryan Kian Hsiang Low
6. Fraud-Proof Revenue Division on Subscription Platforms
   Abheek Ghosh, Tzeh Yuan Neoh, Nicholas Teh, Giannis Tyrovolas
7. Diversifying Robot Locomotion Behaviours with Extrinsic Behavioural Curiosity
   Zhenglin Wan, Xingrui Yu, David Mark Bossens, Yueming Lyu, Qing Guo, Flint Xiaofeng Fan, Yew-Soon Ong, Ivor Tsang
8. Unveiling AI’s Blind Spots: An Oracle for In-Domain, Out-of-Domain, and Adversarial Errors
   Shuangpeng Han, Mengmi Zhang
9. Voronoi-grid-based Pareto Front Learning and Its Application to Collaborative Federated Learning
   Mengmeng Chen, Xiaohu Wu, Qiqi Liu, Tiantian He, Yew-Soon Ong, Yaochu Jin, Qicheng Lao, Han Yu
10. Analytical Construction on Geometric Architectures: Transitioning from Static to Temporal Link Prediction
    Yadong Sun, Xiaofeng Cao, Ivor Tsang, Heng Tao Shen
11. EraseAnything: Enabling Concept Erasure in Rectified Flow Transformers
    Daiheng Gao, Shilin Lu, Wenbo Zhou, Jiaming Chu, Jie Zhang, Mengxi Jia, Bang Zhang, Zhaoxin Fan, Weiming Zhang
12. Cowpox: Towards the Immunity of VLM-based Multi-Agent Systems
    Yutong Wu, Jie Zhang, Yiming Li, Chao Zhang, Qing Guo, Han Qiu, Nils Lukas, Tianwei Zhang
13. Propagation of Chaos for Mean-Field Langevin Dynamics and its Application to Model Ensemble
    Atsushi Nitanda, Anzelle Lee, Damian Tan Xing Kai, Mizuki Sakaguchi, Taiji Suzuki
14. Provable In-Context Vector Arithmetic via Retrieving Task Concepts
    Dake Bu, Wei Huang, Andi Han, Atsushi Nitanda, Taiji Suzuki, Qingfu Zhang, Hau-San Wong
15. Defending LVLMs Against Vision Attacks through Partial-Perception Supervision
    Qi Zhou, Tianlin Li, Dongxia Wang, Yun Lin, Yang Liu, Jin Song Dong, Qing Guo
16. Improving Zero-Shot Adversarial Robustness in VLMs by Closed-form Alignment of Adversarial Path Simplices
    Junhao Dong, Piotr Koniusz, Yifei Zhang, Hao Zhu, Weiming Liu, Xinghua Qu, Yew-Soon Ong
17. Safe Delta: Consistently Preserving Safety when Fine-Tuning LLMs on Diverse Datasets
    Ning Lu, Shengcai Liu, Jiahao Wu, Weiyu Chen, Zhirui Zhang, Yew-Soon Ong, Qi Wang, Ke Tang
18. A Mixed-Curvature based Pre-training Paradigm for Multi-Task Vehicle Routing Solver
    Suyu Liu, Zhiguang Cao, Shanshan Feng, Yew-Soon Ong

Bold- A*STAR researchers/scholars

For more information: ICML 2025.