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 | LotteryCodec: Searching the Implicit Representation in a Random Network for Low-Complexity Image Compression. | Haotian Wu, Gongpu Chen, Pier Luigi Dragotti, Deniz Gndz |
| 2025 | Benefits of Early Stopping in Gradient Descent for Overparameterized Logistic Regression. | Jingfeng Wu, Peter L. Bartlett, Matus Telgarsky, Bin Yu |
| 2025 | Zero-shot Meta-learning for Tabular Prediction Tasks with Adversarially Pre-trained Transformer. | Yulun Wu, Doron L. Bergman |
| 2025 | AxBench: Steering LLMs? Even Simple Baselines Outperform Sparse Autoencoders. | Zhengxuan Wu, Aryaman Arora, Atticus Geiger, Zheng Wang, Jing Huang, Dan Jurafsky, Christopher D. Manning, Christopher Potts |
| 2025 | Directly Forecasting Belief for Reinforcement Learning with Delays. | Qingyuan Wu, Yuhui Wang, Simon Sinong Zhan, Yixuan Wang, Chung-Wei Lin, Chen Lv, Qi Zhu, Jrgen Schmidhuber, Chao Huang |
| 2025 | Bivariate Causal Discovery with Proxy Variables: Integral Solving and Beyond. | Yong Wu, Yanwei Fu, Shouyan Wang, Xinwei Sun |
| 2025 | Divide and Conquer: Learning Label Distribution with Subtasks. | Haitao Wu, Weiwei Li, Xiuyi Jia |
| 2025 | AlphaDPO: Adaptive Reward Margin for Direct Preference Optimization. | Junkang Wu, Xue Wang, Zhengyi Yang, Jiancan Wu, Jinyang Gao, Bolin Ding, Xiang Wang, Xiangnan He |
| 2025 | An End-to-End Model for Logits-Based Large Language Models Watermarking. | Kahim Wong, Jicheng Zhou, Jiantao Zhou, Yain-Whar Si |
| 2025 | Pointwise Information Measures as Confidence Estimators in Deep Neural Networks: A Comparative Study. | Shelvia Wongso, Rohan Ghosh, Mehul Motani |
| 2025 | Position: Retrieval-augmented systems can be dangerous medical communicators. | Lionel Wong, Ayman Ali, Raymond M. Xiong, Zejiang Shen, Yoon Kim, Monica Agrawal |
| 2025 | The Geometry of Refusal in Large Language Models: Concept Cones and Representational Independence. | Tom Wollschlger, Jannes Elstner, Simon Geisler, Vincent Cohen-Addad, Stephan Gnnemann, Johannes Gasteiger |
| 2025 | Position: Deep Learning is Not So Mysterious or Different. | Andrew Gordon Wilson |
| 2025 | Context is Key: A Benchmark for Forecasting with Essential Textual Information. | Andrew Robert Williams, Arjun Ashok, tienne Marcotte, Valentina Zantedeschi, Jithendaraa Subramanian, Roland Riachi, James Requeima, Alexandre Lacoste, Irina Rish, Nicolas Chapados, Alexandre Drouin |
| 2025 | Exploring Representations and Interventions in Time Series Foundation Models. | Michal Wilinski, Mononito Goswami, Willa Potosnak, Nina Zukowska, Artur Dubrawski |
| 2025 | Leveraging Skills from Unlabeled Prior Data for Efficient Online Exploration. | Max Wilcoxson, Qiyang Li, Kevin Frans, Sergey Levine |
| 2025 | RE-Bench: Evaluating Frontier AI R&D Capabilities of Language Model Agents against Human Experts. | Hjalmar Wijk, Tao Roa Lin, Joel Becker, Sami Jawhar, Neev Parikh, Thomas Broadley, Lawrence Chan, Michael Chen, Joshua Clymer, Jai Dhyani, Elena Ericheva, Katharyn Garcia, Brian Goodrich, Nikola Jurkovic, Megan Kinniment, Aron Lajko, Seraphina Nix, Lucas Jun Koba Sato, William Saunders, Maksym Taran, Ben West, Elizabeth Barnes |
| 2025 | Sidechain conditioning and modeling for full-atom protein sequence design with FAMPNN. | Talal Widatalla, Richard W. Shuai, Brian Hie, Possu Huang |
| 2025 | Certification for Differentially Private Prediction in Gradient-Based Training. | Matthew Wicker, Philip Sosnin, Igor Shilov, Adrianna Janik, Mark Niklas Mller, Yves-Alexandre de Montjoye, Adrian Weller, Calvin Tsay |
| 2025 | Spatial Reasoning with Denoising Models. | Christopher Wewer, Bartlomiej Pogodzinski, Bernt Schiele, Jan Eric Lenssen |
| 2025 | Organize the Web: Constructing Domains Enhances Pre-Training Data Curation. | Alexander Wettig, Kyle Lo, Sewon Min, Hannaneh Hajishirzi, Danqi Chen, Luca Soldaini |
| 2025 | DiffusionVLA: Scaling Robot Foundation Models via Unified Diffusion and Autoregression. | Junjie Wen, Yichen Zhu, Minjie Zhu, Zhibin Tang, Jinming Li, Zhongyi Zhou, Xiaoyu Liu, Chaomin Shen, Yaxin Peng, Feifei Feng |
| 2025 | An Efficient Pruner for Large Language Model with Theoretical Guarantee. | Canhong Wen, Yihong Zuo, Wenliang Pan |
| 2025 | Distributed Conformal Prediction via Message Passing. | Haifeng Wen, Hong Xing, Osvaldo Simeone |
| 2025 | Beyond Matryoshka: Revisiting Sparse Coding for Adaptive Representation. | Tiansheng Wen, Yifei Wang, Zequn Zeng, Zhong Peng, Yudi Su, Xinyang Liu, Bo Chen, Hongwei Liu, Stefanie Jegelka, Chenyu You |
501–525 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)