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 | Flow-of-Options: Diversified and Improved LLM Reasoning by Thinking Through Options. | Lakshmi Nair, Ian Trase, J. Mark Kim |
| 2025 | FSL-SAGE: Accelerating Federated Split Learning via Smashed Activation Gradient Estimation. | Srijith Nair, Michael Lin, Peizhong Ju, Amirreza Talebi, Elizabeth Serena Bentley, Jia Liu |
| 2025 | Matryoshka Quantization. | Pranav Ajit Nair, Puranjay Datta, Jeff Dean, Prateek Jain, Aditya Kusupati |
| 2025 | DOLPHIN: A Programmable Framework for Scalable Neurosymbolic Learning. | Aaditya Naik, Jason Liu, Claire Wang, Amish Sethi, Saikat Dutta, Mayur Naik, Eric Wong |
| 2025 | LOB-Bench: Benchmarking Generative AI for Finance - an Application to Limit Order Book Data. | Peer Nagy, Sascha Yves Frey, Kang Li, Bidipta Sarkar, Svitlana Vyetrenko, Stefan Zohren, Ani Calinescu, Jakob Nicolaus Foerster |
| 2025 | Roll the dice & look before you leap: Going beyond the creative limits of next-token prediction. | Vaishnavh Nagarajan, Chen Henry Wu, Charles Ding, Aditi Raghunathan |
| 2025 | Preference Adaptive and Sequential Text-to-Image Generation. | Ofir Nabati, Guy Tennenholtz, Chih-Wei Hsu, Moonkyung Ryu, Deepak Ramachandran, Yinlam Chow, Xiang Li, Craig Boutilier |
| 2025 | A Classification View on Meta Learning Bandits. | Mirco Mutti, Jeongyeol Kwon, Shie Mannor, Aviv Tamar |
| 2025 | LIVS: A Pluralistic Alignment Dataset for Inclusive Public Spaces. | Rashid Mushkani, Shravan Nayak, Hugo Berard, Allison Cohen, Shin Koseki, Hadrien Bertrand |
| 2025 | Position: The Right to AI. | Rashid Mushkani, Hugo Berard, Allison Cohen, Shin Koseki |
| 2025 | You Get What You Give: Reciprocally Fair Federated Learning. | Aniket Murhekar, Jiaxin Song, Parnian Shahkar, Bhaskar Ray Chaudhury, Ruta Mehta |
| 2025 | Fast Exact Unlearning for In-Context Learning Data for LLMs. | Andrei Ioan Muresanu, Anvith Thudi, Michael R. Zhang, Nicolas Papernot |
| 2025 | A Bayesian Model Selection Criterion for Selecting Pretraining Checkpoints. | Michael Munn, Susan Wei |
| 2025 | Neural Discovery in Mathematics: Do Machines Dream of Colored Planes? | Konrad Mundinger, Max Zimmer, Aldo Kiem, Christoph Spiegel, Sebastian Pokutta |
| 2025 | LineFlow: A Framework to Learn Active Control of Production Lines. | Kai Mller, Martin Wenzel, Tobias Windisch |
| 2025 | Mahalanobis++: Improving OOD Detection via Feature Normalization. | Maximilian Mller, Matthias Hein |
| 2025 | Relating Misfit to Gain in Weak-to-Strong Generalization Beyond the Squared Loss. | Abhijeet Mulgund, Chirag Pabbaraju |
| 2025 | Premise-Augmented Reasoning Chains Improve Error Identification in Math reasoning with LLMs. | Sagnik Mukherjee, Abhinav Chinta, Takyoung Kim, Tarun Anoop Sharma, Dilek Hakkani-Tur |
| 2025 | CLARIFY: Contrastive Preference Reinforcement Learning for Untangling Ambiguous Queries. | Ni Mu, Hao Hu, Xiao Hu, Yiqin Yang, Bo Xu, Qing-Shan Jia |
| 2025 | MIB: A Mechanistic Interpretability Benchmark. | Aaron Mueller, Atticus Geiger, Sarah Wiegreffe, Dana Arad, Ivn Arcuschin, Adam Belfki, Yik Siu Chan, Jaden Fried Fiotto-Kaufman, Tal Haklay, Michael Hanna, Jing Huang, Rohan Gupta, Yaniv Nikankin, Hadas Orgad, Nikhil Prakash, Anja Reusch, Aruna Sankaranarayanan, Shun Shao, Alessandro Stolfo, Martin Tutek, Amir Zur, David Bau, Yonatan Belinkov |
| 2025 | SLiM: One-shot Quantization and Sparsity with Low-rank Approximation for LLM Weight Compression. | Mohammad Mozaffari, Amir Yazdanbakhsh, Maryam Mehri Dehnavi |
| 2025 | GMAIL: Generative Modality Alignment for generated Image Learning. | Shentong Mo, Sukmin Yun |
| 2025 | Sparse Autoencoders for Hypothesis Generation. | Rajiv Movva, Kenny Peng, Nikhil Garg, Jon M. Kleinberg, Emma Pierson |
| 2025 | GRADEO: Towards Human-Like Evaluation for Text-to-Video Generation via Multi-Step Reasoning. | Zhun Mou, Bin Xia, Zhengchao Huang, Wenming Yang, Jiaya Jia |
| 2025 | Return of the Latent Space COWBOYS: Re-thinking the use of VAEs for Bayesian Optimisation of Structured Spaces. | Henry B. Moss, Sebastian W. Ober, Tom Diethe |
1,326–1,350 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)