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 | Consistency Models Made Easy. | Zhengyang Geng, Ashwini Pokle, Weijian Luo, Justin Lin, J. Zico Kolter |
| 2025 | A Little Goes a Long Way: Efficient Long Context Training and Inference with Partial Contexts. | Suyu Ge, Xihui Lin, Yunan Zhang, Jiawei Han, Hao Peng |
| 2025 | SOREL: A Stochastic Algorithm for Spectral Risks Minimization. | Yuze Ge, Rujun Jiang |
| 2025 | Proteina: Scaling Flow-based Protein Structure Generative Models. | Tomas Geffner, Kieran Didi, Zuobai Zhang, Danny Reidenbach, Zhonglin Cao, Jason Yim, Mario Geiger, Christian Dallago, Emine Kkbenli, Arash Vahdat, Karsten Kreis |
| 2025 | Robust Barycenter Estimation using Semi-Unbalanced Neural Optimal Transport. | Milena Gazdieva, Jaemoo Choi, Alexander Kolesov, Jaewoong Choi, Petr Mokrov, Alexander Korotin |
| 2025 | Can We Talk Models Into Seeing the World Differently? | Paul Gavrikov, Jovita Lukasik, Steffen Jung, Robert Geirhos, Muhammad Jehanzeb Mirza, Margret Keuper, Janis Keuper |
| 2025 | RefactorBench: Evaluating Stateful Reasoning in Language Agents Through Code. | Dhruv Gautam, Spandan Garg, Jinu Jang, Neel Sundaresan, Roshanak Zilouchian Moghaddam |
| 2025 | CoInD: Enabling Logical Compositions in Diffusion Models. | Sachit Gaudi, Gautam Sreekumar, Vishnu Boddeti |
| 2025 | Exact Community Recovery under Side Information: Optimality of Spectral Algorithms. | Julia Gaudio, Nirmit Joshi |
| 2025 | Feature-Based Online Bilateral Trade. | Solenne Gaucher, Martino Bernasconi, Matteo Castiglioni, Andrea Celli, Vianney Perchet |
| 2025 | The Foundations of Tokenization: Statistical and Computational Concerns. | Juan Luis Gastaldi, John Terilla, Luca Malagutti, Brian DuSell, Tim Vieira, Ryan Cotterell |
| 2025 | Diffusion Transformers for Tabular Data Time Series Generation. | Fabrizio Garuti, Enver Sangineto, Simone Luetto, Lorenzo Forni, Rita Cucchiara |
| 2025 | MeshMask: Physics-Based Simulations with Masked Graph Neural Networks. | Paul Garnier, Vincent Lannelongue, Jonathan Viquerat, Elie Hachem |
| 2025 | From Search to Sampling: Generative Models for Robust Algorithmic Recourse. | Prateek Garg, Lokesh Nagalapatti, Sunita Sarawagi |
| 2025 | Studying the Interplay Between the Actor and Critic Representations in Reinforcement Learning. | Samuel Garcin, Trevor McInroe, Pablo Samuel Castro, Christopher G. Lucas, David Abel, Prakash Panangaden, Stefano V. Albrecht |
| 2025 | Modeling dynamic social vision highlights gaps between deep learning and humans. | Kathy Garcia, Emalie McMahon, Colin Conwell, Michael F. Bonner, Leyla Isik |
| 2025 | Adaptive Rank Allocation: Speeding Up Modern Transformers with RaNA Adapters. | Roberto Garcia, Jerry Weihong Liu, Daniel Sorvisto, Sabri Eyuboglu |
| 2025 | FLIP: Flow-Centric Generative Planning as General-Purpose Manipulation World Model. | Chongkai Gao, Haozhuo Zhang, Zhixuan Xu, Zhehao Cai, Lin Shao |
| 2025 | Lumina-T2X: Scalable Flow-based Large Diffusion Transformer for Flexible Resolution Generation. | Peng Gao, Le Zhuo, Dongyang Liu, Ruoyi Du, Xu Luo, Longtian Qiu, Yuhang Zhang, Rongjie Huang, Shijie Geng, Renrui Zhang, Junlin Xie, Wenqi Shao, Zhengkai Jiang, Tianshuo Yang, Weicai Ye, Tong He, Jingwen He, Junjun He, Yu Qiao, Hongsheng Li |
| 2025 | Regressing the Relative Future: Efficient Policy Optimization for Multi-turn RLHF. | Zhaolin Gao, Wenhao Zhan, Jonathan Daniel Chang, Gokul Swamy, Kiant Brantley, Jason D. Lee, Wen Sun |
| 2025 | Multi-modal Agent Tuning: Building a VLM-Driven Agent for Efficient Tool Usage. | Zhi Gao, Bofei Zhang, Pengxiang Li, Xiaojian Ma, Tao Yuan, Yue Fan, Yuwei Wu, Yunde Jia, Song-Chun Zhu, Qing Li |
| 2025 | Data-adaptive Differentially Private Prompt Synthesis for In-Context Learning. | Fengyu Gao, Ruida Zhou, Tianhao Wang, Cong Shen, Jing Yang |
| 2025 | STAMP: Scalable Task- And Model-agnostic Collaborative Perception. | Xiangbo Gao, Runsheng Xu, Jiachen Li, Ziran Wang, Zhiwen Fan, Zhengzhong Tu |
| 2025 | Discretization-invariance? On the Discretization Mismatch Errors in Neural Operators. | Wenhan Gao, Ruichen Xu, Yuefan Deng, Yi Liu |
| 2025 | Herald: A Natural Language Annotated Lean 4 Dataset. | Guoxiong Gao, Yutong Wang, Jiedong Jiang, Qi Gao, Zihan Qin, Tianyi Xu, Bin Dong |
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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)