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 | Continuous Ensemble Weather Forecasting with Diffusion models. | Martin Andrae, Tomas Landelius, Joel Oskarsson, Fredrik Lindsten |
| 2025 | See It from My Perspective: How Language Affects Cultural Bias in Image Understanding. | Amith Ananthram, Elias Stengel-Eskin, Mohit Bansal, Kathleen McKeown |
| 2025 | Dual Process Learning: Controlling Use of In-Context vs. In-Weights Strategies with Weight Forgetting. | Suraj Anand, Michael A. Lepori, Jack Merullo, Ellie Pavlick |
| 2025 | Why Does the Effective Context Length of LLMs Fall Short? | Chenxin An, Jun Zhang, Ming Zhong, Lei Li, Shansan Gong, Yao Luo, Jingjing Xu, Lingpeng Kong |
| 2025 | Systematic Outliers in Large Language Models. | Yongqi An, Xu Zhao, Tao Yu, Ming Tang, Jinqiao Wang |
| 2025 | Quality over Quantity in Attention Layers: When Adding More Heads Hurts. | Noah Amsel, Gilad Yehudai, Joan Bruna |
| 2025 | Fourier Sliced-Wasserstein Embedding for Multisets and Measures. | Tal Amir, Nadav Dym |
| 2025 | Towards Fast, Specialized Machine Learning Force Fields: Distilling Foundation Models via Energy Hessians. | Ishan Amin, Sanjeev Raja, Aditi S. Krishnapriyan |
| 2025 | Variational Best-of-N Alignment. | Afra Amini, Tim Vieira, Elliott Ash, Ryan Cotterell |
| 2025 | Bayesian Optimization of Antibodies Informed by a Generative Model of Evolving Sequences. | Alan Nawzad Amin, Nate Gruver, Yilun Kuang, Yucen Lily Li, Hunter Elliott, Calvin McCarter, Aniruddh Raghu, Peyton Greenside, Andrew Gordon Wilson |
| 2025 | A Statistical Framework for Ranking LLM-based Chatbots. | Siavash Ameli, Siyuan Zhuang, Ion Stoica, Michael W. Mahoney |
| 2025 | I-Con: A Unifying Framework for Representation Learning. | Shaden Naif Alshammari, John R. Hershey, Axel Feldmann, William T. Freeman, Mark Hamilton |
| 2025 | Generating CAD Code with Vision-Language Models for 3D Designs. | Kamel Alrashedy, Pradyumna Tambwekar, Zulfiqar Haider Zaidi, Megan Langwasser, Wei Xu, Matthew C. Gombolay |
| 2025 | GOttack: Universal Adversarial Attacks on Graph Neural Networks via Graph Orbits Learning. | Md. Zulfikar Alom, Tran Gia Bao Ngo, Murat Kantarcioglu, Cuneyt Gurcan Akcora |
| 2025 | Fundamental Limitations on Subquadratic Alternatives to Transformers. | Josh Alman, Hantao Yu |
| 2025 | The Utility and Complexity of In- and Out-of-Distribution Machine Unlearning. | Youssef Allouah, Joshua Kazdan, Rachid Guerraoui, Sanmi Koyejo |
| 2025 | Adaptive Gradient Clipping for Robust Federated Learning. | Youssef Allouah, Rachid Guerraoui, Nirupam Gupta, Ahmed Jellouli, Geovani Rizk, John Stephan |
| 2025 | Physics of Language Models: Part 3.2, Knowledge Manipulation. | Zeyuan Allen-Zhu, Yuanzhi Li |
| 2025 | Physics of Language Models: Part 3.3, Knowledge Capacity Scaling Laws. | Zeyuan Allen-Zhu, Yuanzhi Li |
| 2025 | MIM-Refiner: A Contrastive Learning Boost from Intermediate Pre-Trained Masked Image Modeling Representations. | Benedikt Alkin, Lukas Miklautz, Sepp Hochreiter, Johannes Brandstetter |
| 2025 | Vision-LSTM: xLSTM as Generic Vision Backbone. | Benedikt Alkin, Maximilian Beck, Korbinian Pppel, Sepp Hochreiter, Johannes Brandstetter |
| 2025 | SMITE: Segment Me In TimE. | Amirhossein Alimohammadi, Sauradip Nag, Saeid Asgari Taghanaki, Andrea Tagliasacchi, Ghassan Hamarneh, Ali Mahdavi-Amiri |
| 2025 | Decoupled Subgraph Federated Learning. | Javad Aliakbari, Johan stman, Alexandre Graell i Amat |
| 2025 | Learning mirror maps in policy mirror descent. | Carlo Alfano, Sebastian Rene Towers, Silvia Sapora, Chris Lu, Patrick Rebeschini |
| 2025 | Protecting against simultaneous data poisoning attacks. | Neel Alex, Shoaib Ahmed Siddiqui, Amartya Sanyal, David Krueger |
3,376–3,400 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)