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 | Node Similarities under Random Projections: Limits and Pathological Cases. | Tvrtko Tadic, Cassiano O. Becker, Jennifer Neville |
| 2025 | UNSURE: self-supervised learning with Unknown Noise level and Stein's Unbiased Risk Estimate. | Julin Tachella, Mike E. Davies, Laurent Jacques |
| 2025 | Connecting Federated ADMM to Bayes. | Siddharth Swaroop, Mohammad Emtiyaz Khan, Finale Doshi-Velez |
| 2025 | Intrinsic User-Centric Interpretability through Global Mixture of Experts. | Vinitra Swamy, Syrielle Montariol, Julian Blackwell, Jibril Frej, Martin Jaggi, Tanja Kser |
| 2025 | Revisiting Multi-Permutation Equivariance through the Lens of irreducible Representations. | Yonatan Sverdlov, Ido Springer, Nadav Dym |
| 2025 | On the Expressive Power of Sparse Geometric MPNNs. | Yonatan Sverdlov, Nadav Dym |
| 2025 | BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval. | Hongjin Su, Howard Yen, Mengzhou Xia, Weijia Shi, Niklas Muennighoff, Han-yu Wang, Haisu Liu, Quan Shi, Zachary S. Siegel, Michael Tang, Ruoxi Sun, Jinsung Yoon, Sercan . Arik, Danqi Chen, Tao Yu |
| 2025 | Behavioral Entropy-Guided Dataset Generation for Offline Reinforcement Learning. | Wesley A. Suttle, Aamodh Suresh, Carlos Nieto-Granda |
| 2025 | Dualformer: Controllable Fast and Slow Thinking by Learning with Randomized Reasoning Traces. | DiJia Su, Sainbayar Sukhbaatar, Michael Rabbat, Yuandong Tian, Qinqing Zheng |
| 2025 | Uncertainty modeling for fine-tuned implicit functions. | Anna Susmelj, Mael Macuglia, Natasa Tagasovska, Reto Sutter, Sebastiano Caprara, Jean-Philippe Thiran, Ender Konukoglu |
| 2025 | MotionAura: Generating High-Quality and Motion Consistent Videos using Discrete Diffusion. | Onkar Kishor Susladkar, Jishu Sen Gupta, Chirag Sehgal, Sparsh Mittal, Rekha Singhal |
| 2025 | CoRNStack: High-Quality Contrastive Data for Better Code Retrieval and Reranking. | Tarun Suresh, Revanth Gangi Reddy, Yifei Xu, Zach Nussbaum, Andriy Mulyar, Brandon Duderstadt, Heng Ji |
| 2025 | Long-horizon Visual Instruction Generation with Logic and Attribute Self-reflection. | Yucheng Suo, Fan Ma, Kaixin Shen, Linchao Zhu, Yi Yang |
| 2025 | Minimal Impact ControlNet: Advancing Multi-ControlNet Integration. | Shikun Sun, Min Zhou, Zixuan Wang, Xubin Li, Tiezheng Ge, Zijie Ye, Xiaoyu Qin, Junliang Xing, Bo Zheng, Jia Jia |
| 2025 | PathGen-1.6M: 1.6 Million Pathology Image-text Pairs Generation through Multi-agent Collaboration. | Yuxuan Sun, Yunlong Zhang, Yixuan Si, Chenglu Zhu, Kai Zhang, Zhongyi Shui, Jingxiong Li, Xuan Gong, Xinheng Lyu, Tao Lin, Lin Yang |
| 2025 | Empowering Users in Digital Privacy Management through Interactive LLM-Based Agents. | Bolun Sun, Yifan Zhou, Haiyun Jiang |
| 2025 | DeeperForward: Enhanced Forward-Forward Training for Deeper and Better Performance. | Liang Sun, Yang Zhang, Weizhao He, Jiajun Wen, Linlin Shen, Weicheng Xie |
| 2025 | ReDeEP: Detecting Hallucination in Retrieval-Augmented Generation via Mechanistic Interpretability. | Zhongxiang Sun, Xiaoxue Zang, Kai Zheng, Jun Xu, Xiao Zhang, Weijie Yu, Yang Song, Han Li |
| 2025 | Debiasing Federated Learning with Correlated Client Participation. | Zhenyu Sun, Ziyang Zhang, Zheng Xu, Gauri Joshi, Pranay Sharma, Ermin Wei |
| 2025 | A Conditional Independence Test in the Presence of Discretization. | Boyang Sun, Yu Yao, Guang-Yuan Hao, Yumou Qiu, Kun Zhang |
| 2025 | Entropy-based Activation Function Optimization: A Method on Searching Better Activation Functions. | Haoyuan Sun, Zihao Wu, Bo Xia, Pu Chang, Zibin Dong, Yifu Yuan, Yongzhe Chang, Xueqian Wang |
| 2025 | Unsupervised Zero-Shot Reinforcement Learning via Dual-Value Forward-Backward Representation. | Jingbo Sun, Songjun Tu, Qichao Zhang, Haoran Li, Xin Liu, Yaran Chen, Ke Chen, Dongbin Zhao |
| 2025 | Concept Bottleneck Large Language Models. | Chung-En Sun, Tuomas P. Oikarinen, Berk Ustun, Tsui-Wei Weng |
| 2025 | Towards Unbiased Learning in Semi-Supervised Semantic Segmentation. | Rui Sun, Huayu Mai, Wangkai Li, Tianzhu Zhang |
| 2025 | Block Verification Accelerates Speculative Decoding. | Ziteng Sun, Uri Mendlovic, Yaniv Leviathan, Asaf Aharoni, Jae Hun Ro, Ahmad Beirami, Ananda Theertha Suresh |
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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)