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 | Adaptive Transformer Programs: Bridging the Gap Between Performance and Interpretability in Transformers. | Quoc-Vinh Lai-Dang, Taemin Kang, Seungah Son |
| 2025 | Bridging the Gap Between f-divergences and Bayes Hilbert Spaces. | Linus Lach, Alexander Willi Fottner, Yarema Okhrin |
| 2025 | Equivariant Denoisers Cannot Copy Graphs: Align Your Graph Diffusion Models. | Najwa Laabid, Severi Rissanen, Markus Heinonen, Arno Solin, Vikas Garg |
| 2025 | Solving Video Inverse Problems Using Image Diffusion Models. | Taesung Kwon, Jong Chul Ye |
| 2025 | TweedieMix: Improving Multi-Concept Fusion for Diffusion-based Image/Video Generation. | Gihyun Kwon, Jong Chul Ye |
| 2025 | Brain-inspired Lp-Convolution benefits large kernels and aligns better with visual cortex. | Jea Kwon, Sungjun Lim, Kyungwoo Song, C. Justin Lee |
| 2025 | Agent Skill Acquisition for Large Language Models via CycleQD. | So Kuroki, Taishi Nakamura, Takuya Akiba, Yujin Tang |
| 2025 | Proactive Privacy Amnesia for Large Language Models: Safeguarding PII with Negligible Impact on Model Utility. | Martin Kuo, Jingyang Zhang, Jianyi Zhang, Minxue Tang, Louis DiValentin, Aolin Ding, Jingwei Sun, William Chen, Amin Hass, Tianlong Chen, Yiran Chen, Hai Li |
| 2025 | Not All LLM-Generated Data Are Equal: Rethinking Data Weighting in Text Classification. | Hsun-Yu Kuo, Yin-Hsiang Liao, Yu-Chieh Chao, Wei-Yun Ma, Pu-Jen Cheng |
| 2025 | Training Language Models to Self-Correct via Reinforcement Learning. | Aviral Kumar, Vincent Zhuang, Rishabh Agarwal, Yi Su, John D. Co-Reyes, Avi Singh, Kate Baumli, Shariq Iqbal, Colton Bishop, Rebecca Roelofs, Lei M. Zhang, Kay McKinney, Disha Shrivastava, Cosmin Paduraru, George Tucker, Doina Precup, Feryal M. P. Behbahani, Aleksandra Faust |
| 2025 | Global Convergence of Policy Gradient in Average Reward MDPs. | Navdeep Kumar, Yashaswini Murthy, Itai Shufaro, Kfir Yehuda Levy, R. Srikant, Shie Mannor |
| 2025 | Aligned LLMs Are Not Aligned Browser Agents. | Priyanshu Kumar, Elaine Lau, Saranya Vijayakumar, Tu Trinh, Elaine T. Chang, Vaughn Robinson, Shuyan Zhou, Matt Fredrikson, Sean M. Hendryx, Summer Yue, Zifan Wang |
| 2025 | Has the Deep Neural Network learned the Stochastic Process? An Evaluation Viewpoint. | Harshit Kumar, Beomseok Kang, Biswadeep Chakraborty, Saibal Mukhopadhyay |
| 2025 | Do Mice Grok? Glimpses of Hidden Progress in Sensory Cortex. | Tanishq Kumar, Blake Bordelon, Cengiz Pehlevan, Venkatesh N. Murthy, Samuel J. Gershman |
| 2025 | Scaling Laws for Precision. | Tanishq Kumar, Zachary Ankner, Benjamin Frederick Spector, Blake Bordelon, Niklas Muennighoff, Mansheej Paul, Cengiz Pehlevan, Christopher R, Aditi Raghunathan |
| 2025 | LeanAgent: Lifelong Learning for Formal Theorem Proving. | Adarsh Kumarappan, Mo Tiwari, Peiyang Song, Robert Joseph George, Chaowei Xiao, Anima Anandkumar |
| 2025 | The Value of Sensory Information to a Robot. | Arjun Krishna, Edward S. Hu, Dinesh Jayaraman |
| 2025 | FairDen: Fair Density-Based Clustering. | Lena Krieger, Anna Beer, Pernille Matthews, Anneka Myrup Thiesson, Ira Assent |
| 2025 | Reinforcement Learning for Control of Non-Markovian Cellular Population Dynamics. | Josiah C. Kratz, Jacob Adamczyk |
| 2025 | DarkBench: Benchmarking Dark Patterns in Large Language Models. | Esben Kran, Jord Nguyen, Akash Kundu, Sami Jawhar, Jinsuk Park, Mateusz Maria Jurewicz |
| 2025 | Dynamic Negative Guidance of Diffusion Models. | Felix Koulischer, Johannes Deleu, Gabriel Raya, Thomas Demeester, Luca Ambrogioni |
| 2025 | Learning to engineer protein flexibility. | Petr Kouba, Joan Planas-Iglesias, Jir Damborsk, Jir Sedlr, Stanislav Mazurenko, Josef Sivic |
| 2025 | From Risk to Uncertainty: Generating Predictive Uncertainty Measures via Bayesian Estimation. | Nikita Kotelevskii, Vladimir Kondratyev, Martin Takc, Eric Moulines, Maxim Panov |
| 2025 | A Computational Framework for Modeling Emergence of Color Vision in the Human Brain. | Atsunobu Kotani, Ren Ng |
| 2025 | Safety-Prioritizing Curricula for Constrained Reinforcement Learning. | Cevahir Kprl, Thiago D. Simo, Nils Jansen, Ufuk Topcu |
2,176–2,200 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)