International Conference on Machine Learning
ICML
A*
CORE rank
CORE rank (raw)
A*
Acceptance rate
27.5% (2024)
Fields of research
Machine Learning
Papers indexed
17,065
1988–2025
Papers per year
19883,341 peak2025
Most published authors
ICML papers
17,065 records sourced from DBLP. Search titles, filter by year, sort by recency.
| Year | Title | Authors |
|---|---|---|
| 2025 | Structure-informed Risk Minimization for Robust Ensemble Learning. | Fengchun Qiao, Yanlin Chen, Xi Peng |
| 2025 | Large Continual Instruction Assistant. | Jingyang Qiao, Zhizhong Zhang, Xin Tan, Yanyun Qu, Shouhong Ding, Yuan Xie |
| 2025 | GHOST: Generalizable One-Shot Federated Graph Learning with Proxy-Based Topology Knowledge Retention. | Jiaru Qian, Guancheng Wan, Wenke Huang, Guibin Zhang, Yuxin Wu, Bo Du, Mang Ye |
| 2025 | On the Out-of-Distribution Generalization of Self-Supervised Learning. | Wenwen Qiang, Jingyao Wang, Zeen Song, Jiangmeng Li, Changwen Zheng |
| 2025 | Universal Approximation Theorem of Deep Q-Networks. | Qian Qi |
| 2025 | Learning State-Based Node Representations from a Class Hierarchy for Fine-Grained Open-Set Detection. | Spandan Pyakurel, Qi Yu |
| 2025 | Sample Efficient Demonstration Selection for In-Context Learning. | Kiran Purohit, Venktesh V, Sourangshu Bhattacharya, Avishek Anand |
| 2025 | SHE: Streaming-media Hashing Retrieval. | Ruitao Pu, Yang Qin, Xiaomin Song, Dezhong Peng, Zhenwen Ren, Yuan Sun |
| 2025 | Janus: Dual-Server Multi-Round Secure Aggregation with Verifiability for Federated Learning. | Lang Pu, Jingjing Gu, Chao Lin, Xinyi Huang |
| 2025 | Learning dynamics in linear recurrent neural networks. | Alexandra Maria Proca, Clmentine Carla Juliette Domin, Murray Shanahan, Pedro A. M. Mediano |
| 2025 | Clone-Robust AI Alignment. | Ariel D. Procaccia, Benjamin Schiffer, Shirley Zhang |
| 2025 | WATCH: Adaptive Monitoring for AI Deployments via Weighted-Conformal Martingales. | Drew Prinster, Xing Han, Anqi Liu, Suchi Saria |
| 2025 | Graph Inverse Style Transfer for Counterfactual Explainability. | Bardh Prenkaj, Efstratios Zaradoukas, Gjergji Kasneci |
| 2025 | Be a Goldfish: Forgetting Bad Conditioning in Sparse Linear Regression via Variational Autoencoders. | Kuheli Pratihar, Debdeep Mukhopadhyay |
| 2025 | DCBM: Data-Efficient Visual Concept Bottleneck Models. | Katharina Prasse, Patrick Knab, Sascha Marton, Christian Bartelt, Margret Keuper |
| 2025 | Self-Consistency Preference Optimization. | Archiki Prasad, Weizhe Yuan, Richard Yuanzhe Pang, Jing Xu, Maryam Fazel-Zarandi, Mohit Bansal, Sainbayar Sukhbaatar, Jason E. Weston, Jane Yu |
| 2025 | MOGIC: Metadata-infused Oracle Guidance for Improved Extreme Classification. | Suchith Chidananda Prabhu, Bhavyajeet Singh, Anshul Mittal, Siddarth Asokan, Shikhar Mohan, Deepak Saini, Yashoteja Prabhu, Lakshya Kumar, Jian Jiao, Amit Singh, Niket Tandon, Manish Gupta, Sumeet Agarwal, Manik Varma |
| 2025 | DEALing with Image Reconstruction: Deep Attentive Least Squares. | Mehrsa Pourya, Erich Kobler, Michael Unser, Sebastian Neumayer |
| 2025 | Self-Improving Language Models for Evolutionary Program Synthesis: A Case Study on ARC-AGI. | Julien Pourcel, Cdric Colas, Pierre-Yves Oudeyer |
| 2025 | The Synergy of LLMs & RL Unlocks Offline Learning of Generalizable Language-Conditioned Policies with Low-fidelity Data. | Thomas Pouplin, Kasia Kobalczyk, Hao Sun, Mihaela van der Schaar |
| 2025 | Suitability Filter: A Statistical Framework for Classifier Evaluation in Real-World Deployment Settings. | Angline Pouget, Mohammad Yaghini, Stephan Rabanser, Nicolas Papernot |
| 2025 | Vintix: Action Model via In-Context Reinforcement Learning. | Andrei Polubarov, Nikita Lyubaykin, Alexander Derevyagin, Ilya Zisman, Denis Tarasov, Alexander Nikulin, Vladislav Kurenkov |
| 2025 | Position: Causal Machine Learning Requires Rigorous Synthetic Experiments for Broader Adoption. | Audrey Poinsot, Panayiotis Panayiotou, Alessandro Ferreira Leite, Nicolas Chesneau, zgr Simsek, Marc Schoenauer |
| 2025 | Avoiding Catastrophe in Online Learning by Asking for Help. | Benjamin Plaut, Hanlin Zhu, Stuart Russell |
| 2025 | To Each Metric Its Decoding: Post-Hoc Optimal Decision Rules of Probabilistic Hierarchical Classifiers. | Roman Plaud, Alexandre Perez-Lebel, Matthieu Labeau, Antoine Saillenfest, Thomas Bonald |
1,151–1,175 of 17,065← PreviousNext →
Comparable venues
Other A*/A conferences filed under the same field of research.
- A*ICLRInternational Conference on Learning Representations
- AAISTATSInternational Conference on Artificial Intelligence and Statistics
- A*COLTConference on Learning Theory
- APPSNParallel Problem Solving from Nature
- AECML PKDDEuropean Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Database (PKDD and ECML combined from 2008)
- A*NeurIPSAdvances in Neural Information Processing Systems (was NIPS)