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 | How to Probe: Simple Yet Effective Techniques for Improving Post-hoc Explanations. | Siddhartha Gairola, Moritz Bhle, Francesco Locatello, Bernt Schiele |
| 2025 | Homomorphism Expressivity of Spectral Invariant Graph Neural Networks. | Jingchu Gai, Yiheng Du, Bohang Zhang, Haggai Maron, Liwei Wang |
| 2025 | Language models scale reliably with over-training and on downstream tasks. | Samir Yitzhak Gadre, Georgios Smyrnis, Vaishaal Shankar, Suchin Gururangan, Mitchell Wortsman, Rulin Shao, Jean Mercat, Alex Fang, Jeffrey Li, Sedrick Keh, Rui Xin, Marianna Nezhurina, Igor Vasiljevic, Luca Soldaini, Jenia Jitsev, Alex Dimakis, Gabriel Ilharco, Pang Wei Koh, Shuran Song, Thomas Kollar, et al. |
| 2025 | Large (Vision) Language Models are Unsupervised In-Context Learners. | Artyom Gadetsky, Andrei Atanov, Yulun Jiang, Zhitong Gao, Ghazal Hosseini Mighan, Amir Zamir, Maria Brbic |
| 2025 | INS: Interaction-aware Synthesis to Enhance Offline Multi-agent Reinforcement Learning. | Yuqian Fu, Yuanheng Zhu, Jian Zhao, Jiajun Chai, Dongbin Zhao |
| 2025 | TLDR: Token-Level Detective Reward Model for Large Vision Language Models. | Deqing Fu, Tong Xiao, Rui Wang, Wang Zhu, Pengchuan Zhang, Guan Pang, Robin Jia, Lawrence Chen |
| 2025 | Learning Hierarchical Polynomials of Multiple Nonlinear Features. | Hengyu Fu, Zihao Wang, Eshaan Nichani, Jason D. Lee |
| 2025 | A Theoretical Perspective: How to Prevent Model Collapse in Self-consuming Training Loops. | Shi Fu, Yingjie Wang, Yuzhu Chen, Xinmei Tian, Dacheng Tao |
| 2025 | Quantitative Approximation for Neural Operators in Nonlinear Parabolic Equations. | Takashi Furuya, Koichi Taniguchi, Satoshi Okuda |
| 2025 | Transformers are Universal In-context Learners. | Takashi Furuya, Maarten V. de Hoop, Gabriel Peyr |
| 2025 | Learning-Augmented Search Data Structures. | Chunkai Fu, Brandon G. Nguyen, Jung Hoon Seo, Ryan S. Zesch, Samson Zhou |
| 2025 | 3DTrajMaster: Mastering 3D Trajectory for Multi-Entity Motion in Video Generation. | Xiao Fu, Xian Liu, Xintao Wang, Sida Peng, Menghan Xia, Xiaoyu Shi, Ziyang Yuan, Pengfei Wan, Di Zhang, Dahua Lin |
| 2025 | Flow matching achieves almost minimax optimal convergence. | Kenji Fukumizu, Taiji Suzuki, Noboru Isobe, Kazusato Oko, Masanori Koyama |
| 2025 | Towards General-Purpose Model-Free Reinforcement Learning. | Scott Fujimoto, Pierluca D'Oro, Amy Zhang, Yuandong Tian, Michael Rabbat |
| 2025 | Edge Prompt Tuning for Graph Neural Networks. | Xingbo Fu, Yinhan He, Jundong Li |
| 2025 | CHiP: Cross-modal Hierarchical Direct Preference Optimization for Multimodal LLMs. | Jinlan Fu, Shenzhen Huangfu, Hao Fei, Xiaoyu Shen, Bryan Hooi, Xipeng Qiu, See-Kiong Ng |
| 2025 | Diffusion Transformer Captures Spatial-Temporal Dependencies: A Theory for Gaussian Process Data. | Hengyu Fu, Zehao Dou, Jiawei Guo, Mengdi Wang, Minshuo Chen |
| 2025 | Graph Neural Networks for Edge Signals: Orientation Equivariance and Invariance. | Dominik Fuchsgruber, Tim Postuvan, Stephan Gnnemann, Simon Geisler |
| 2025 | Not All Heads Matter: A Head-Level KV Cache Compression Method with Integrated Retrieval and Reasoning. | Yu Fu, Zefan Cai, Abedelkadir Asi, Wayne Xiong, Yue Dong, Wen Xiao |
| 2025 | AgentRefine: Enhancing Agent Generalization through Refinement Tuning. | Dayuan Fu, Keqing He, Yejie Wang, Wentao Hong, Zhuoma Gongque, Weihao Zeng, Wei Wang, Jingang Wang, Xunliang Cai, Weiran Xu |
| 2025 | A Riemannian Framework for Learning Reduced-order Lagrangian Dynamics. | Katharina Friedl, Nomie Jaquier, Jens Lundell, Tamim Asfour, Danica Kragic |
| 2025 | How to Evaluate Reward Models for RLHF. | Evan Frick, Tianle Li, Connor Chen, Wei-Lin Chiang, Anastasios Nikolas Angelopoulos, Jiantao Jiao, Banghua Zhu, Joseph E. Gonzalez, Ion Stoica |
| 2025 | Trained Transformer Classifiers Generalize and Exhibit Benign Overfitting In-Context. | Spencer Frei, Gal Vardi |
| 2025 | On Rollouts in Model-Based Reinforcement Learning. | Bernd Frauenknecht, Devdutt Subhasish, Friedrich Solowjow, Sebastian Trimpe |
| 2025 | Model-agnostic meta-learners for estimating heterogeneous treatment effects over time. | Dennis Frauen, Konstantin Hess, Stefan Feuerriegel |
2,751–2,775 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)