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 | Improving Your Model Ranking on Chatbot Arena by Vote Rigging. | Rui Min, Tianyu Pang, Chao Du, Qian Liu, Minhao Cheng, Min Lin |
| 2025 | Beyond Induction Heads: In-Context Meta Learning Induces Multi-Phase Circuit Emergence. | Gouki Minegishi, Hiroki Furuta, Shohei Taniguchi, Yusuke Iwasawa, Yutaka Matsuo |
| 2025 | Deep Neural Cellular Potts Models. | Koen Minartz, Tim D'Hondt, Leon Hillmann, Jrn Starru, Lutz Brusch, Vlado Menkovski |
| 2025 | Function-Space Learning Rates. | Edward Milsom, Ben Anson, Laurence Aitchison |
| 2025 | Embedding Safety into RL: A New Take on Trust Region Methods. | Nikola Milosevic, Johannes Mller, Nico Scherf |
| 2025 | Compelling ReLU Networks to Exhibit Exponentially Many Linear Regions at Initialization and During Training. | Max Milkert, David Hyde, Forrest J. Laine |
| 2025 | Federated Generalised Variational Inference: A Robust Probabilistic Federated Learning Framework. | Terje Mildner, Oliver Hamelijnck, Paris Giampouras, Theodoros Damoulas |
| 2025 | Computing Voting Rules with Improvement Feedback. | Evi Micha, Vasilis Varsamis |
| 2025 | Boosting Virtual Agent Learning and Reasoning: A Step-Wise, Multi-Dimensional, and Generalist Reward Model with Benchmark. | Bingchen Miao, Yang Wu, Minghe Gao, Qifan Yu, Wendong Bu, Wenqiao Zhang, Yunfei Li, Siliang Tang, Tat-Seng Chua, Juncheng Li |
| 2025 | Rethinking Score Distilling Sampling for 3D Editing and Generation. | Xingyu Miao, Haoran Duan, Yang Long, Jungong Han |
| 2025 | The Energy Loss Phenomenon in RLHF: A New Perspective on Mitigating Reward Hacking. | Yuchun Miao, Sen Zhang, Liang Ding, Yuqi Zhang, Lefei Zhang, Dacheng Tao |
| 2025 | On the Dynamic Regret of Following the Regularized Leader: Optimism with History Pruning. | Naram Mhaisen, George Iosifidis |
| 2025 | A Bregman Proximal Viewpoint on Neural Operators. | Abdel-Rahim Mezidi, Jordan Patracone, Saverio Salzo, Amaury Habrard, Massimiliano Pontil, Rmi Emonet, Marc Sebban |
| 2025 | Benchmarking Quantum Reinforcement Learning. | Nico Meyer, Christian Ufrecht, George Yammine, Georgios D. Kontes, Christopher Mutschler, Daniel D. Scherer |
| 2025 | Understanding the Kronecker Matrix-Vector Complexity of Linear Algebra. | Raphael A. Meyer, William J. Swartworth, David P. Woodruff |
| 2025 | Position: Scaling LLM Agents Requires Asymptotic Analysis with LLM Primitives. | Elliot Meyerson, Xin Qiu |
| 2025 | Discovering a Zero (Zero-Vector Class of Machine Learning). | Harikrishna Metta, Venkatesh Babu Radhakrishnan |
| 2025 | Diffusion on Language Model Encodings for Protein Sequence Generation. | Viacheslav Meshchaninov, Pavel V. Strashnov, Andrey Shevtsov, Fedor Nikolaev, Nikita Ivanisenko, Olga L. Kardymon, Dmitry P. Vetrov |
| 2025 | Position: Lifetime tuning is incompatible with continual reinforcement learning. | Golnaz Mesbahi, Parham Mohammad Panahi, Olya Mastikhina, Steven Tang, Martha White, Adam White |
| 2025 | CLOVER: Cross-Layer Orthogonal Vectors Pruning. | Fanxu Meng, Pingzhi Tang, Fan Jiang, Muhan Zhang |
| 2025 | Towards World Simulator: Crafting Physical Commonsense-Based Benchmark for Video Generation. | Fanqing Meng, Jiaqi Liao, Xinyu Tan, Quanfeng Lu, Wenqi Shao, Kaipeng Zhang, Yu Cheng, Dianqi Li, Ping Luo |
| 2025 | LAuReL: Learned Augmented Residual Layer. | Gaurav Menghani, Ravi Kumar, Sanjiv Kumar |
| 2025 | TeLoGraF: Temporal Logic Planning via Graph-encoded Flow Matching. | Yue Meng, Chuchu Fan |
| 2025 | Reducing Variance of Stochastic Optimization for Approximating Nash Equilibria in Normal-Form Games. | Linjian Meng, Wubing Chen, Wenbin Li, Tianpei Yang, Youzhi Zhang, Yang Gao |
| 2025 | MERGE3: Efficient Evolutionary Merging on Consumer-grade GPUs. | Tommaso Mencattini, Adrian Robert Minut, Donato Crisostomi, Andrea Santilli, Emanuele Rodol |
1,376–1,400 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)