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 | Epistemic Monte Carlo Tree Search. | Yaniv Oren, Viliam Vadocz, Matthijs T. J. Spaan, Wendelin Boehmer |
| 2025 | MathGAP: Out-of-Distribution Evaluation on Problems with Arbitrarily Complex Proofs. | Andreas Opedal, Haruki Shirakami, Bernhard Schlkopf, Abulhair Saparov, Mrinmaya Sachan |
| 2025 | Synergy and Diversity in CLIP: Enhancing Performance Through Adaptive Backbone Ensembling. | Cristian Rodriguez Opazo, Ehsan Abbasnejad, Damien Teney, Hamed Damirchi, Edison Marrese-Taylor, Anton van den Hengel |
| 2025 | Multi-modal brain encoding models for multi-modal stimuli. | Subba Reddy Oota, Khushbu Pahwa, Mounika Marreddy, Maneesh Kumar Singh, Manish Gupta, Bapi Raju Surampudi |
| 2025 | Correlating instruction-tuning (in multimodal models) with vision-language processing (in the brain). | Subba Reddy Oota, Akshett Rai Jindal, Ishani Mondal, Khushbu Pahwa, Satya Sai Srinath Namburi GNVV, Manish Shrivastava, Maneesh Kumar Singh, Bapi Raju Surampudi, Manish Gupta |
| 2025 | RouteLLM: Learning to Route LLMs from Preference Data. | Isaac Ong, Amjad Almahairi, Vincent Wu, Wei-Lin Chiang, Tianhao Wu, Joseph E. Gonzalez, M. Waleed Kadous, Ion Stoica |
| 2025 | Flash Inference: Near Linear Time Inference for Long Convolution Sequence Models and Beyond. | Costin-Andrei Oncescu, Sanket Purandare, Stratos Idreos, Sham M. Kakade |
| 2025 | Exploiting Distribution Constraints for Scalable and Efficient Image Retrieval. | Mohammad Omama, Po-han Li, Sandeep P. Chinchali |
| 2025 | Wavelet-based Positional Representation for Long Context. | Yui Oka, Taku Hasegawa, Kyosuke Nishida, Kuniko Saito |
| 2025 | Stochastic Polyak Step-sizes and Momentum: Convergence Guarantees and Practical Performance. | Dimitris Oikonomou, Nicolas Loizou |
| 2025 | Sharpness-Aware Minimization: General Analysis and Improved Rates. | Dimitris Oikonomou, Nicolas Loizou |
| 2025 | DaWin: Training-free Dynamic Weight Interpolation for Robust Adaptation. | Changdae Oh, Yixuan Li, Kyungwoo Song, Sangdoo Yun, Dongyoon Han |
| 2025 | Find A Winning Sign: Sign Is All We Need to Win the Lottery. | Junghun Oh, Sungyong Baik, Kyoung Mu Lee |
| 2025 | Posterior-Mean Rectified Flow: Towards Minimum MSE Photo-Realistic Image Restoration. | Guy Ohayon, Tomer Michaeli, Michael Elad |
| 2025 | ReMatching Dynamic Reconstruction Flow. | Sara Oblak, Despoina Paschalidou, Sanja Fidler, Matan Atzmon |
| 2025 | Bayesian Regularization of Latent Representation. | Chukwudi Paul Obite, Zhi Chang, Keyan Wu, Shiwei Lan |
| 2025 | Neural Context Flows for Meta-Learning of Dynamical Systems. | Roussel Desmond Nzoyem, David A. W. Barton, Tom Deakin |
| 2025 | Presto! Distilling Steps and Layers for Accelerating Music Generation. | Zachary Novack, Ge Zhu, Jonah Casebeer, Julian J. McAuley, Taylor Berg-Kirkpatrick, Nicholas J. Bryan |
| 2025 | Asynchronous RLHF: Faster and More Efficient Off-Policy RL for Language Models. | Michael Noukhovitch, Shengyi Huang, Sophie Xhonneux, Arian Hosseini, Rishabh Agarwal, Aaron C. Courville |
| 2025 | QPM: Discrete Optimization for Globally Interpretable Image Classification. | Thomas Norrenbrock, Timo Kaiser, Sovan Biswas, Ramesh Manuvinakurike, Bodo Rosenhahn |
| 2025 | SWEb: A Large Web Dataset for the Scandinavian Languages. | Tobias Norlund, Tim Isbister, Amaru Cuba Gyllensten, Paul Gabriel dos Santos, Danila Petrelli, Ariel Ekgren, Magnus Sahlgren |
| 2025 | Federated Class-Incremental Learning: A Hybrid Approach Using Latent Exemplars and Data-Free Techniques to Address Local and Global Forgetting. | Milad Khademi Nori, Il-Min Kim, Guanghui Wang |
| 2025 | Learned Reference-based Diffusion Sampler for multi-modal distributions. | Maxence Noble, Louis Grenioux, Marylou Gabri, Alain Oliviero Durmus |
| 2025 | Flow: Modularized Agentic Workflow Automation. | Boye Niu, Yiliao Song, Kai Lian, Yifan Shen, Yu Yao, Kun Zhang, Tongliang Liu |
| 2025 | InversionGNN: A Dual Path Network for Multi-Property Molecular Optimization. | Yifan Niu, Ziqi Gao, Tingyang Xu, Yang Liu, Yatao Bian, Yu Rong, Junzhou Huang, Jia Li |
1,526–1,550 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)