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 | Residual Matrix Transformers: Scaling the Size of the Residual Stream. | Brian Mak, Jeffrey Flanigan |
| 2025 | HetSSNet: Spatial-Spectral Heterogeneous Graph Learning Network for Panchromatic and Multispectral Images Fusion. | Mengting Ma, Yizhen Jiang, Mengjiao Zhao, Jiaxin Li, Wei Zhang |
| 2025 | Regret-Free Reinforcement Learning for Temporal Logic Specifications. | Rupak Majumdar, Mahmoud Salamati, Sadegh Soudjani |
| 2025 | LETS Forecast: Learning Embedology for Time Series Forecasting. | Abrar Majeedi, Viswanatha Reddy Gajjala, Satya Sai Srinath Namburi GNVV, Nada Magdi Elkordi, Yin Li |
| 2025 | SecEmb: Sparsity-Aware Secure Federated Learning of On-Device Recommender System with Large Embedding. | Peihua Mai, Youlong Ding, Ziyan Lyu, Minxin Du, Yan Pang |
| 2025 | Auditing $f$-differential privacy in one run. | Saeed Mahloujifar, Luca Melis, Kamalika Chaudhuri |
| 2025 | Sable: a Performant, Efficient and Scalable Sequence Model for MARL. | Omayma Mahjoub, Sasha Abramowitz, Ruan John de Kock, Wiem Khlifi, Simon du Toit, Jemma Daniel, Louay Ben Nessir, Louise Beyers, Juan Claude Formanek, Liam Clark, Arnu Pretorius |
| 2025 | Adversarial Robustness via Deformable Convolution with Stochasticity. | Yanxiang Ma, Zixuan Huang, Minjing Dong, Shan You, Chang Xu |
| 2025 | Leveraging Online Olympiad-Level Math Problems for LLMs Training and Contamination-Resistant Evaluation. | Sadegh Mahdavi, Muchen Li, Kaiwen Liu, Christos Thrampoulidis, Leonid Sigal, Renjie Liao |
| 2025 | Compositional Risk Minimization. | Divyat Mahajan, Mohammad Pezeshki, Charles Arnal, Ioannis Mitliagkas, Kartik Ahuja, Pascal Vincent |
| 2025 | DataDecide: How to Predict Best Pretraining Data with Small Experiments. | Ian Magnusson, Nguyen Tai, Ben Bogin, David Heineman, Jena D. Hwang, Luca Soldaini, Akshita Bhagia, Jiacheng Liu, Dirk Groeneveld, Oyvind Tafjord, Noah A. Smith, Pang Wei Koh, Jesse Dodge |
| 2025 | Learning to Stop: Deep Learning for Mean Field Optimal Stopping. | Lorenzo Magnino, Yuchen Zhu, Mathieu Laurire |
| 2025 | Linearization Turns Neural Operators into Function-Valued Gaussian Processes. | Emilia Magnani, Marvin Pfrtner, Tobias Weber, Philipp Hennig |
| 2025 | AKORN: Adaptive Knots generated Online for RegressioN splines. | Sunil Madhow, Dheeraj Baby, Yu-Xiang Wang |
| 2025 | Inverse problems with experiment-guided AlphaFold. | Sai Advaith Maddipatla, Nadav Bojan Sellam, Meital Bojan, Sanketh Vedula, Paul Schanda, Ailie Marx, Alexander M. Bronstein |
| 2025 | Pruning for GNNs: Lower Complexity with Comparable Expressiveness. | Dun Ma, Jianguo Chen, Wenguo Yang, Suixiang Gao, Shengminjie Chen |
| 2025 | Efficient Online Reinforcement Learning for Diffusion Policy. | Haitong Ma, Tianyi Chen, Kai Wang, Na Li, Bo Dai |
| 2025 | Meta-Black-Box-Optimization through Offline Q-function Learning. | Zeyuan Ma, Zhiguang Cao, Zhou Jiang, Hongshu Guo, Yue-Jiao Gong |
| 2025 | Playmate: Flexible Control of Portrait Animation via 3D-Implicit Space Guided Diffusion. | Xingpei Ma, Jiaran Cai, Yuansheng Guan, Shenneng Huang, Qiang Zhang, Shunsi Zhang |
| 2025 | Compositional Causal Reasoning Evaluation in Language Models. | Jacqueline R. M. A. Maasch, Alihan Hyk, Xinnuo Xu, Aditya V. Nori, Javier Gonzlez |
| 2025 | Graph Attention is Not Always Beneficial: A Theoretical Analysis of Graph Attention Mechanisms via Contextual Stochastic Block Models. | Zhongtian Ma, Qiaosheng Zhang, Bocheng Zhou, Yexin Zhang, Shuyue Hu, Zhen Wang |
| 2025 | Benchmarking Abstract and Reasoning Abilities Through A Theoretical Perspective. | Qingchuan Ma, Yuhang Wu, Xiawu Zheng, Rongrong Ji |
| 2025 | Improving Multimodal Learning Balance and Sufficiency through Data Remixing. | Xiaoyu Ma, Hao Chen, Yongjian Deng |
| 2025 | An Online Statistical Framework for Out-of-Distribution Detection. | Xinsong Ma, Xin Zou, Weiwei Liu |
| 2025 | Overcoming Non-monotonicity in Transducer-based Streaming Generation. | Zhengrui Ma, Yang Feng, Min Zhang |
1,451–1,475 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)