International Conference on Learning Representations
ICLR
A*
CORE rank
CORE rank (raw)
A*
Acceptance rate
31.7% (2024)
Fields of research
Machine Learning
Papers indexed
11,991
2017–2025
Papers per year
20173,704 peak2025
Most published authors
ICLR papers
11,991 records sourced from DBLP. Search titles, filter by year, sort by recency.
| Year | Title | Authors |
|---|---|---|
| 2025 | A Geometric Framework for Understanding Memorization in Generative Models. | Brendan Leigh Ross, Hamidreza Kamkari, Tongzi Wu, Rasa Hosseinzadeh, Zhaoyan Liu, George Stein, Jesse C. Cresswell, Gabriel Loaiza-Ganem |
| 2025 | PharmacoMatch: Efficient 3D Pharmacophore Screening via Neural Subgraph Matching. | Daniel Rose, Oliver Wieder, Thomas Seidel, Thierry Langer |
| 2025 | BioDiscoveryAgent: An AI Agent for Designing Genetic Perturbation Experiments. | Yusuf H. Roohani, Andrew H. Lee, Qian Huang, Jian Vora, Zachary Steinhart, Kexin Huang, Alexander Marson, Percy Liang, Jure Leskovec |
| 2025 | ELBOing Stein: Variational Bayes with Stein Mixture Inference. | Ola Rnning, Eric T. Nalisnick, Christophe Ley, Padhraic Smyth, Thomas Hamelryck |
| 2025 | A Large-scale Dataset and Benchmark for Commuting Origin-Destination Flow Generation. | Can Rong, Jingtao Ding, Yan Liu, Yong Li |
| 2025 | Newton Meets Marchenko-Pastur: Massively Parallel Second-Order Optimization with Hessian Sketching and Debiasing. | Elad Romanov, Fangzhao Zhang, Mert Pilanci |
| 2025 | INCLUDE: Evaluating Multilingual Language Understanding with Regional Knowledge. | Angelika Romanou, Negar Foroutan, Anna Sotnikova, Zeming Chen, Sree Harsha Nelaturu, Shivalika Singh, Rishabh Maheshwary, Micol Altomare, Mohamed A. Haggag, Imanol Schlag, Marzieh Fadaee, Sara Hooker, Antoine Bosselut, Snegha A, Alfonso Amayuelas, Azril Hafizi Amirudin, Viraat Aryabumi, Danylo Boiko, Michael Chang, Jenny Chim, Gal Cohen, Aditya Kumar Dalmia, Abraham Diress, Sharad Duwal, Daniil Dzenhaliou, Daniel Fernando Erazo Florez, Fabian Farestam, Joseph Marvin Imperial, Shayekh Bin Islam, Perttu Isotalo, Maral Jabbarishiviari, Brje F. Karlsson, Eldar Khalilov, Christopher Klamm, Fajri Koto, Dominik Krzeminski, Gabriel Adriano de Melo, Syrielle Montariol, Yiyang Nan, Joel Niklaus, Jekaterina Novikova, Johan Samir Obando-Ceron, Debjit Paul, Esther Ploeger, Jebish Purbey, Swati Rajwal, Selvan Sunitha Ravi, Sara Rydell, Roshan Santhosh, Drishti Sharma, Marjana Prifti Skenduli, Arshia Soltani Moakhar, Bardia Soltani Moakhar, Ran Tamir, Ayush Kumar Tarun, Azmine Toushik Wasi, Thenuka Ovin Weerasinghe, Serhan Yilmaz, Mike Zhang |
| 2025 | Modeling Complex System Dynamics with Flow Matching Across Time and Conditions. | Martin Rohbeck, Edward De Brouwer, Charlotte Bunne, Jan-Christian Huetter, Anne Biton, Kelvin Y. Chen, Aviv Regev, Romain Lopez |
| 2025 | BigDocs: An Open Dataset for Training Multimodal Models on Document and Code Tasks. | Juan A. Rodrguez, Xiangru Jian, Siba Smarak Panigrahi, Tianyu Zhang, Aarash Feizi, Abhay Puri, Akshay Kalkunte Suresh, Franois Savard, Ahmed Masry, Shravan Nayak, Rabiul Awal, Mahsa Massoud, Amirhossein Abaskohi, Zichao Li, Suyuchen Wang, Pierre-Andr Nol, Mats Leon Richter, Saverio Vadacchino, Shubham Agarwal, Sanket Biswas, et al. |
| 2025 | Controlling Language and Diffusion Models by Transporting Activations. | Pau Rodrguez, Arno Blaas, Michal Klein, Luca Zappella, Nicholas Apostoloff, Marco Cuturi, Xavier Suau |
| 2025 | NatureLM-audio: an Audio-Language Foundation Model for Bioacoustics. | David Robinson, Marius Miron, Masato Hagiwara, Olivier Pietquin |
| 2025 | Simple, Good, Fast: Self-Supervised World Models Free of Baggage. | Jan Robine, Marc Hftmann, Stefan Harmeling |
| 2025 | Needle Threading: Can LLMs Follow Threads Through Near-Million-Scale Haystacks? | Jonathan Roberts, Kai Han, Samuel Albanie |
| 2025 | PETRA: Parallel End-to-end Training with Reversible Architectures. | Stphane Rivaud, Louis Fournier, Thomas Pumir, Eugene Belilovsky, Michael Eickenberg, Edouard Oyallon |
| 2025 | Free Hunch: Denoiser Covariance Estimation for Diffusion Models Without Extra Costs. | Severi Rissanen, Markus Heinonen, Arno Solin |
| 2025 | On the Adversarial Vulnerability of Label-Free Test-Time Adaptation. | Shahriar Rifat, Jonathan D. Ashdown, Michael J. De Lucia, Ananthram Swami, Francesco Restuccia |
| 2025 | Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference. | Matthew Riemer, Gopeshh Subbaraj, Glen Berseth, Irina Rish |
| 2025 | An Auditing Test to Detect Behavioral Shift in Language Models. | Leo Richter, Xuanli He, Pasquale Minervini, Matt J. Kusner |
| 2025 | TRENDy: Temporal Regression of Effective Nonlinear Dynamics. | Matthew Ricci, Guy Pelc, Zoe Piran, Noa Moriel, Mor Nitzan |
| 2025 | Language Guided Skill Discovery. | Seungeun Rho, Laura Smith, Tianyu Li, Sergey Levine, Xue Bin Peng, Sehoon Ha |
| 2025 | Encryption-Friendly LLM Architecture. | Donghwan Rho, Taeseong Kim, Minje Park, Jung Woo Kim, Hyunsik Chae, Ernest K. Ryu, Jung Hee Cheon |
| 2025 | From Isolated Conversations to Hierarchical Schemas: Dynamic Tree Memory Representation for LLMs. | Alireza Rezazadeh, Zichao Li, Wei Wei, Yujia Bao |
| 2025 | GSBAK: top-K Geometric Score-based Black-box Attack. | Md Farhamdur Reza, Richeng Jin, Tianfu Wu, Huaiyu Dai |
| 2025 | Be More Diverse than the Most Diverse: Optimal Mixtures of Generative Models via Mixture-UCB Bandit Algorithms. | Parham Rezaei, Farzan Farnia, Cheuk Ting Li |
| 2025 | Scale-aware Recognition in Satellite Images under Resource Constraints. | Shreelekha Revankar, Cheng Perng Phoo, Utkarsh Mall, Bharath Hariharan, Kavita Bala |
1,301–1,325 of 11,991← PreviousNext →
Comparable venues
Other A*/A conferences filed under the same field of research.
- A*ICMLInternational Conference on Machine Learning
- 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)