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 | One for all and all for one: Efficient computation of partial Wasserstein distances on the line. | Laetitia Chapel, Romain Tavenard |
| 2025 | Robust-PIFu: Robust Pixel-aligned Implicit Function for 3D Human Digitalization from a Single Image. | Kennard Yanting Chan, Fayao Liu, Guosheng Lin, Chuan-Sheng Foo, Weisi Lin |
| 2025 | Online Clustering with Nearly Optimal Consistency. | T.-H. Hubert Chan, Shaofeng H.-C. Jiang, Tianyi Wu, Mengshi Zhao |
| 2025 | Scalable Influence and Fact Tracing for Large Language Model Pretraining. | Tyler A. Chang, Dheeraj Rajagopal, Tolga Bolukbasi, Lucas Dixon, Ian Tenney |
| 2025 | Palu: KV-Cache Compression with Low-Rank Projection. | Chi-Chih Chang, Wei-Cheng Lin, Chien-Yu Lin, Chong-Yan Chen, Yu-Fang Hu, Pei-Shuo Wang, Ning-Chi Huang, Luis Ceze, Mohamed S. Abdelfattah, Kai-Chiang Wu |
| 2025 | Rethinking Shapley Value for Negative Interactions in Non-convex Games. | Wonjoon Chang, Myeongjin Lee, Jaesik Choi |
| 2025 | PARTNR: A Benchmark for Planning and Reasoning in Embodied Multi-agent Tasks. | Matthew Chang, Gunjan Chhablani, Alexander Clegg, Mikael Dallaire Cote, Ruta Desai, Michal Hlavac, Vladimir Karashchuk, Jacob Krantz, Roozbeh Mottaghi, Priyam Parashar, Siddharth Patki, Ishita Prasad, Xavier Puig, Akshara Rai, Ram Ramrakhya, Daniel Tran, Joanne Truong, John M. Turner, Eric Undersander, Tsung-Yen Yang |
| 2025 | Language Models Need Inductive Biases to Count Inductively. | Yingshan Chang, Yonatan Bisk |
| 2025 | CertainlyUncertain: A Benchmark and Metric for Multimodal Epistemic and Aleatoric Awareness. | Khyathi Raghavi Chandu, Linjie Li, Anas Awadalla, Ximing Lu, Jae Sung Park, Jack Hessel, Lijuan Wang, Yejin Choi |
| 2025 | Learning Neural Networks with Distribution Shift: Efficiently Certifiable Guarantees. | Gautam Chandrasekaran, Adam R. Klivans, Lin Lin Lee, Konstantinos Stavropoulos |
| 2025 | MLE-bench: Evaluating Machine Learning Agents on Machine Learning Engineering. | Jun Shern Chan, Neil Chowdhury, Oliver Jaffe, James Aung, Dane Sherburn, Evan Mays, Giulio Starace, Kevin Liu, Leon Maksin, Tejal Patwardhan, Aleksander Madry, Lilian Weng |
| 2025 | Toward Understanding In-context vs. In-weight Learning. | Bryan Chan, Xinyi Chen, Andrs Gyrgy, Dale Schuurmans |
| 2025 | Collab: Controlled Decoding using Mixture of Agents for LLM Alignment. | Souradip Chakraborty, Sujay Bhatt, Udari Madhushani Sehwag, Soumya Suvra Ghosal, Jiahao Qiu, Mengdi Wang, Dinesh Manocha, Furong Huang, Alec Koppel, Sumitra Ganesh |
| 2025 | Streaming Algorithms For ℓp Flows and ℓp Regression. | Amit Chakrabarti, Jeffrey Jiang, David P. Woodruff, Taisuke Yasuda |
| 2025 | MA-RLHF: Reinforcement Learning from Human Feedback with Macro Actions. | Yekun Chai, Haoran Sun, Huang Fang, Shuohuan Wang, Yu Sun, Hua Wu |
| 2025 | AuroraCap: Efficient, Performant Video Detailed Captioning and a New Benchmark. | Wenhao Chai, Enxin Song, Yilun Du, Chenlin Meng, Vashisht Madhavan, Omer Bar-Tal, Jenq-Neng Hwang, Saining Xie, Christopher D. Manning |
| 2025 | Empowering LLM Agents with Zero-Shot Optimal Decision-Making through Q-learning. | Jiajun Chai, Sicheng Li, Yuqian Fu, Dongbin Zhao, Yuanheng Zhu |
| 2025 | McEval: Massively Multilingual Code Evaluation. | Linzheng Chai, Shukai Liu, Jian Yang, Yuwei Yin, Ke Jin, Jiaheng Liu, Tao Sun, Ge Zhang, Changyu Ren, Hongcheng Guo, Noah Wang, Boyang Wang, Xianjie Wu, Bing Wang, Tongliang Li, Liqun Yang, Sufeng Duan, Zhaoxiang Zhang, Zhoujun Li |
| 2025 | Web Agents with World Models: Learning and Leveraging Environment Dynamics in Web Navigation. | Hyungjoo Chae, Namyoung Kim, Kai Tzu-iunn Ong, Minju Gwak, Gwanwoo Song, Jihoon Kim, Sunghwan Kim, Dongha Lee, Jinyoung Yeo |
| 2025 | Towards Robust and Parameter-Efficient Knowledge Unlearning for LLMs. | Sungmin Cha, Sungjun Cho, Dasol Hwang, Moontae Lee |
| 2025 | An Evolved Universal Transformer Memory. | Edoardo Cetin, Qi Sun, Tianyu Zhao, Yujin Tang |
| 2025 | An Online Learning Theory of Trading-Volume Maximization. | Tommaso Cesari, Roberto Colomboni |
| 2025 | BrainACTIV: Identifying visuo-semantic properties driving cortical selectivity using diffusion-based image manipulation. | Diego Garcia Cerdas, Christina Sartzetaki, Magnus Petersen, Gemma Roig, Pascal Mettes, Iris I. A. Groen |
| 2025 | Ready-to-React: Online Reaction Policy for Two-Character Interaction Generation. | Zhi Cen, Huaijin Pi, Sida Peng, Qing Shuai, Yujun Shen, Hujun Bao, Xiaowei Zhou, Ruizhen Hu |
| 2025 | Value-Incentivized Preference Optimization: A Unified Approach to Online and Offline RLHF. | Shicong Cen, Jincheng Mei, Katayoon Goshvadi, Hanjun Dai, Tong Yang, Sherry Yang, Dale Schuurmans, Yuejie Chi, Bo Dai |
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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)