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 | Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning. | Moritz Reuss, Jyothish Pari, Pulkit Agrawal, Rudolf Lioutikov |
| 2025 | MIRACLE 3D: Memory-efficient Integrated Robust Approach for Continual Learning on 3D Point Clouds via Shape Model Construction. | Hossein Resani, Behrooz Nasihatkon |
| 2025 | Decoupling Layout from Glyph in Online Chinese Handwriting Generation. | Minsi Ren, Yan-Ming Zhang, Yi Chen |
| 2025 | Learning Shape-Independent Transformation via Spherical Representations for Category-Level Object Pose Estimation. | Huan Ren, Wenfei Yang, Xiang Liu, Shifeng Zhang, Tianzhu Zhang |
| 2025 | HyPoGen: Optimization-Biased Hypernetworks for Generalizable Policy Generation. | Hanxiang Ren, Li Sun, Xulong Wang, Pei Zhou, Zewen Wu, Siyan Dong, Difan Zou, Youyi Zheng, Yanchao Yang |
| 2025 | Learning Dynamics of LLM Finetuning. | Yi Ren, Danica J. Sutherland |
| 2025 | Autoregressive Pretraining with Mamba in Vision. | Sucheng Ren, Xianhang Li, Haoqin Tu, Feng Wang, Fangxun Shu, Lei Zhang, Jieru Mei, Linjie Yang, Peng Wang, Heng Wang, Alan L. Yuille, Cihang Xie |
| 2025 | Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling. | Liliang Ren, Yang Liu, Yadong Lu, Yelong Shen, Chen Liang, Weizhu Chen |
| 2025 | Diffusion Policy Policy Optimization. | Allen Z. Ren, Justin Lidard, Lars Lien Ankile, Anthony Simeonov, Pulkit Agrawal, Anirudha Majumdar, Benjamin Burchfiel, Hongkai Dai, Max Simchowitz |
| 2025 | BP-Modified Local Loss for Efficient Training of Deep Neural Networks. | Lianhai Ren, Qianxiao Li |
| 2025 | Multi-objective antibody design with constrained preference optimization. | Milong Ren, ZaiKai He, Haicang Zhang |
| 2025 | Shape as Line Segments: Accurate and Flexible Implicit Surface Representation. | Siyu Ren, Junhui Hou |
| 2025 | How Discrete and Continuous Diffusion Meet: Comprehensive Analysis of Discrete Diffusion Models via a Stochastic Integral Framework. | Yinuo Ren, Haoxuan Chen, Grant M. Rotskoff, Lexing Ying |
| 2025 | Revisiting Mode Connectivity in Neural Networks with Bezier Surface. | Jie Ren, Pin-Yu Chen, Ren Wang |
| 2025 | PointOBB-v2: Towards Simpler, Faster, and Stronger Single Point Supervised Oriented Object Detection. | Botao Ren, Xue Yang, Yi Yu, Junwei Luo, Zhidong Deng |
| 2025 | Identifiable Exchangeable Mechanisms for Causal Structure and Representation Learning. | Patrik Reizinger, Siyuan Guo, Ferenc Huszr, Bernhard Schlkopf, Wieland Brendel |
| 2025 | Cross-Entropy Is All You Need To Invert the Data Generating Process. | Patrik Reizinger, Alice Bizeul, Attila Juhos, Julia E. Vogt, Randall Balestriero, Wieland Brendel, David A. Klindt |
| 2025 | Variance-Reducing Couplings for Random Features. | Isaac Reid, Stratis Markou, Krzysztof Marcin Choromanski, Richard E. Turner, Adrian Weller |
| 2025 | Linear Transformer Topological Masking with Graph Random Features. | Isaac Reid, Kumar Avinava Dubey, Deepali Jain, William F. Whitney, Amr Ahmed, Joshua Ainslie, Alex Bewley, Mithun George Jacob, Aranyak Mehta, David Rendleman, Connor Schenck, Richard E. Turner, Ren Wagner, Adrian Weller, Krzysztof Marcin Choromanski |
| 2025 | AdaRankGrad: Adaptive Gradient Rank and Moments for Memory-Efficient LLMs Training and Fine-Tuning. | Yehonathan Refael, Jonathan Svirsky, Boris Shustin, Wasim Huleihel, Ofir Lindenbaum |
| 2025 | Steering Masked Discrete Diffusion Models via Discrete Denoising Posterior Prediction. | Jarrid Rector-Brooks, Mohsin Hasan, Zhangzhi Peng, Cheng-Hao Liu, Sarthak Mittal, Nouha Dziri, Michael M. Bronstein, Pranam Chatterjee, Alexander Tong, Joey Bose |
| 2025 | Unintentional Unalignment: Likelihood Displacement in Direct Preference Optimization. | Noam Razin, Sadhika Malladi, Adithya Bhaskar, Danqi Chen, Sanjeev Arora, Boris Hanin |
| 2025 | AndroidWorld: A Dynamic Benchmarking Environment for Autonomous Agents. | Christopher Rawles, Sarah Clinckemaillie, Yifan Chang, Jonathan Waltz, Gabrielle Lau, Marybeth Fair, Alice Li, William E. Bishop, Wei Li, Folawiyo Campbell-Ajala, Daniel Kenji Toyama, Robert James Berry, Divya Tyamagundlu, Timothy P. Lillicrap, Oriana Riva |
| 2025 | SAM 2: Segment Anything in Images and Videos. | Nikhila Ravi, Valentin Gabeur, Yuan-Ting Hu, Ronghang Hu, Chaitanya Ryali, Tengyu Ma, Haitham Khedr, Roman Rdle, Chlo Rolland, Laura Gustafson, Eric Mintun, Junting Pan, Kalyan Vasudev Alwala, Nicolas Carion, Chao-Yuan Wu, Ross B. Girshick, Piotr Dollr, Christoph Feichtenhofer |
| 2025 | Gumbel Counterfactual Generation From Language Models. | Shauli Ravfogel, Anej Svete, Vsteinn Snbjarnarson, Ryan Cotterell |
1,326–1,350 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)