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 | Validating Mechanistic Interpretations: An Axiomatic Approach. | Nils Palumbo, Ravi Mangal, Zifan Wang, Saranya Vijayakumar, Corina S. Pasareanu, Somesh Jha |
| 2025 | Enforcing Latent Euclidean Geometry in Single-Cell VAEs for Manifold Interpolation. | Alessandro Palma, Sergei Rybakov, Leon Hetzel, Stephan Gnnemann, Fabian J. Theis |
| 2025 | Measuring Variable Importance in Heterogeneous Treatment Effects with Confidence. | Joseph Paillard, Angel David Reyero Lobo, Vitaliy Kolodyazhniy, Bertrand Thirion, Denis-Alexander Engemann |
| 2025 | SAND: One-Shot Feature Selection with Additive Noise Distortion. | Pedram Pad, Hadi Hammoud, Mohamad Dia, Nadim Maamari, Liza Andrea Dunbar |
| 2025 | scSSL-Bench: Benchmarking Self-Supervised Learning for Single-Cell Data. | Olga Ovcharenko, Florian Barkmann, Philip Toma, Imant Daunhawer, Julia E. Vogt, Sebastian Schelter, Valentina Boeva |
| 2025 | Position: Democratic AI is Possible. The Democracy Levels Framework Shows How It Might Work. | Aviv Ovadya, Kyle Redman, Luke Thorburn, Quan Ze Chen, Oliver Smith, Flynn Devine, Andrew Konya, Smitha Milli, Manon Revel, Kevin Feng, Amy X. Zhang, Bilva Chandra, Michiel A. Bakker, Atoosa Kasirzadeh |
| 2025 | KernelBench: Can LLMs Write Efficient GPU Kernels? | Anne Ouyang, Simon Guo, Simran Arora, Alex L. Zhang, William Hu, Christopher R, Azalia Mirhoseini |
| 2025 | LieRE: Lie Rotational Positional Encodings. | Sophie Ostmeier, Brian Axelrod, Maya Varma, Michael E. Moseley, Akshay S. Chaudhari, Curtis Langlotz |
| 2025 | Discrete and Continuous Difference of Submodular Minimization. | George Orfanides, Tim Hoheisel, Marwa El Halabi |
| 2025 | Banyan: Improved Representation Learning with Explicit Structure. | Mattia Opper, N. Siddharth |
| 2025 | Activation Space Interventions Can Be Transferred Between Large Language Models. | Narmeen Oozeer, Dhruv Nathawani, Nirmalendu Prakash, Michael Lan, Abir Harrasse, Amir Abdullah |
| 2025 | TOPLOC: A Locality Sensitive Hashing Scheme for Trustless Verifiable Inference. | Jack Min Ong, Matthew Di Ferrante, Aaron Pazdera, Ryan Garner, Sami Jaghouar, Manveer Basra, Max Ryabinin, Johannes Hagemann |
| 2025 | Compute Optimal Inference and Provable Amortisation Gap in Sparse Autoencoders. | Charles O'Neill, Alim Gumran, David A. Klindt |
| 2025 | Gradual Transition from Bellman Optimality Operator to Bellman Operator in Online Reinforcement Learning. | Motoki Omura, Kazuki Ota, Takayuki Osa, Yusuke Mukuta, Tatsuya Harada |
| 2025 | Since Faithfulness Fails: The Performance Limits of Neural Causal Discovery. | Mateusz Olko, Mateusz Gajewski, Joanna Wojciechowska, Mikolaj Morzy, Piotr Sankowski, Piotr Milos |
| 2025 | Sliding Puzzles Gym: A Scalable Benchmark for State Representation in Visual Reinforcement Learning. | Bryan Lincoln Marques de Oliveira, Luana Guedes Barros Martins, Bruno Brando, Murilo Lopes da Luz, Telma Woerle de Lima Soares, Luckeciano Carvalho Melo |
| 2025 | Nonlinearly Preconditioned Gradient Methods under Generalized Smoothness. | Konstantinos A. Oikonomidis, Jan Quan, Emanuel Laude, Panagiotis Patrinos |
| 2025 | Evaluating Neuron Explanations: A Unified Framework with Sanity Checks. | Tuomas P. Oikarinen, Ge Yan, Tsui-Wei Weng |
| 2025 | Distribution-aware Fairness Learning in Medical Image Segmentation From A Control-Theoretic Perspective. | Yujin Oh, Pengfei Jin, Sangjoon Park, Sekeun Kim, Siyeop Yoon, Jin Sung Kim, Kyungsang Kim, Xiang Li, Quanzheng Li |
| 2025 | Compressed Image Generation with Denoising Diffusion Codebook Models. | Guy Ohayon, Hila Manor, Tomer Michaeli, Michael Elad |
| 2025 | Global Context-aware Representation Learning for Spatially Resolved Transcriptomics. | Yunhak Oh, Junseok Lee, Yeongmin Kim, Sangwoo Seo, Namkyeong Lee, Chanyoung Park |
| 2025 | Understanding Multimodal LLMs Under Distribution Shifts: An Information-Theoretic Approach. | Changdae Oh, Zhen Fang, Shawn Im, Xuefeng Du, Yixuan Li |
| 2025 | Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean Field Games. | Antonio Ocello, Daniil Tiapkin, Lorenzo Mancini, Mathieu Laurire, Eric Moulines |
| 2025 | TuCo: Measuring the Contribution of Fine-Tuning to Individual Responses of LLMs. | Felipe Pinto Coelho Nuti, Tim Franzmeyer, Joo F. Henriques |
| 2025 | Improved Algorithm for Deep Active Learning under Imbalance via Optimal Separation. | Shyam Nuggehalli, Jifan Zhang, Lalit K. Jain, Robert D. Nowak |
1,251–1,275 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)