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 | Lego Sketch: A Scalable Memory-augmented Neural Network for Sketching Data Streams. | Yuan Feng, Yukun Cao, Hairu Wang, Xike Xie, S. Kevin Zhou |
| 2025 | OmiAD: One-Step Adaptive Masked Diffusion Model for Multi-class Anomaly Detection via Adversarial Distillation. | Yaoxuan Feng, Wenchao Chen, Yuxin Li, Bo Chen, Yubiao Wang, Zixuan Zhao, Hongwei Liu, Mingyuan Zhou |
| 2025 | BiMark: Unbiased Multilayer Watermarking for Large Language Models. | Xiaoyan Feng, He Zhang, Yanjun Zhang, Leo Yu Zhang, Shirui Pan |
| 2025 | Perceptually Constrained Precipitation Nowcasting Model. | Wenzhi Feng, Xutao Li, Zhe Wu, Kenghong Lin, Demin Yu, Yunming Ye, Yaowei Wang |
| 2025 | Extractive Structures Learned in Pretraining Enable Generalization on Finetuned Facts. | Jiahai Feng, Stuart Russell, Jacob Steinhardt |
| 2025 | Regularized Langevin Dynamics for Combinatorial Optimization. | Shengyu Feng, Yiming Yang |
| 2025 | Efficient Parallel Training Methods for Spiking Neural Networks with Constant Time Complexity. | Wanjin Feng, Xingyu Gao, Wenqian Du, Hailong Shi, Peilin Zhao, Pengcheng Wu, Chunyan Miao |
| 2025 | Model Swarms: Collaborative Search to Adapt LLM Experts via Swarm Intelligence. | Shangbin Feng, Zifeng Wang, Yike Wang, Sayna Ebrahimi, Hamid Palangi, Lesly Miculicich, Achin Kulshrestha, Nathalie Rauschmayr, Yejin Choi, Yulia Tsvetkov, Chen-Yu Lee, Tomas Pfister |
| 2025 | Archetypal SAE: Adaptive and Stable Dictionary Learning for Concept Extraction in Large Vision Models. | Thomas Fel, Ekdeep Singh Lubana, Jacob S. Prince, Matthew Kowal, Victor Boutin, Isabel Papadimitriou, Binxu Wang, Martin Wattenberg, Demba E. Ba, Talia Konkle |
| 2025 | Local Pan-privacy for Federated Analytics. | Vitaly Feldman, Audra McMillan, Guy N. Rothblum, Kunal Talwar |
| 2025 | FACTER: Fairness-Aware Conformal Thresholding and Prompt Engineering for Enabling Fair LLM-Based Recommender Systems. | Arya Fayyazi, Mehdi Kamal, Massoud Pedram |
| 2025 | DUNIA: Pixel-Sized Embeddings via Cross-Modal Alignment for Earth Observation Applications. | Ibrahim Fayad, Max Zimmer, Martin Schwartz, Fabian Gieseke, Philippe Ciais, Gabriel Belouze, Sarah Brood, Aurlien de Truchis, Alexandre d'Aspremont |
| 2025 | In-Context Fine-Tuning for Time-Series Foundation Models. | Matthew Faw, Rajat Sen, Yichen Zhou, Abhimanyu Das |
| 2025 | On Mitigating Affinity Bias through Bandits with Evolving Biased Feedback. | Matthew Faw, Constantine Caramanis, Jessica Hoffmann |
| 2025 | How Compositional Generalization and Creativity Improve as Diffusion Models are Trained. | Alessandro Favero, Antonio Sclocchi, Francesco Cagnetta, Pascal Frossard, Matthieu Wyart |
| 2025 | A New Approach to Backtracking Counterfactual Explanations: A Unified Causal Framework for Efficient Model Interpretability. | Pouria Fatemi, Ehsan Sharifian, Mohammad Hossein Yassaee |
| 2025 | MONA: Myopic Optimization with Non-myopic Approval Can Mitigate Multi-step Reward Hacking. | Sebastian Farquhar, Vikrant Varma, David Lindner, David Elson, Caleb Biddulph, Ian Goodfellow, Rohin Shah |
| 2025 | Jacobian Sparse Autoencoders: Sparsify Computations, Not Just Activations. | Lucy Farnik, Tim Lawson, Conor J. Houghton, Laurence Aitchison |
| 2025 | Speeding up Policy Simulation in Supply Chain RL. | Vivek F. Farias, Joren Gijsbrechts, Aryan I. Khojandi, Tianyi Peng, Andrew Zheng |
| 2025 | Zero-Shot Adaptation of Parameter-Efficient Fine-Tuning in Diffusion Models. | Farzad Farhadzadeh, Debasmit Das, Shubhankar Borse, Fatih Porikli |
| 2025 | Temporal Difference Flows. | Jesse Farebrother, Matteo Pirotta, Andrea Tirinzoni, Rmi Munos, Alessandro Lazaric, Ahmed Touati |
| 2025 | Safety-Polarized and Prioritized Reinforcement Learning. | Ke Fan, Jinpeng Zhang, Xuefeng Zhang, Yunze Wu, Jingyu Cao, Yuan Zhou, Jianzhu Ma |
| 2025 | Reliable Algorithm Selection for Machine Learning-Guided Design. | Clara Fannjiang, Ji Won Park |
| 2025 | On-Device Collaborative Language Modeling via a Mixture of Generalists and Specialists. | Dongyang Fan, Bettina Messmer, Nikita Doikov, Martin Jaggi |
| 2025 | Learning Changes in Graphon Attachment Network Models. | Xinyuan Fan, Bufan Li, Chenlei Leng, Weichi Wu |
2,426–2,450 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)