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 | Scaling up the Banded Matrix Factorization Mechanism for Large Scale Differentially Private ML. | Ryan McKenna |
| 2025 | Non-myopic Generation of Language Models for Reasoning and Planning. | Chang Ma, Haiteng Zhao, Junlei Zhang, Junxian He, Lingpeng Kong |
| 2025 | Tractable Multi-Agent Reinforcement Learning through Behavioral Economics. | Eric Mazumdar, Kishan Panaganti, Laixi Shi |
| 2025 | In Search of Forgotten Domain Generalization. | Prasanna Mayilvahanan, Roland S. Zimmermann, Thaddus Wiedemer, Evgenia Rusak, Attila Juhos, Matthias Bethge, Wieland Brendel |
| 2025 | TD-Paint: Faster Diffusion Inpainting Through Time-Aware Pixel Conditioning. | Tsiry Mayet, Pourya Shamsolmoali, Simon Bernard, Eric Granger, Romain Hrault, Clment Chatelain |
| 2025 | ClawMachine: Learning to Fetch Visual Tokens for Referential Comprehension. | Tianren Ma, Lingxi Xie, Yunjie Tian, Boyu Yang, Qixiang Ye |
| 2025 | DRESSing Up LLM: Efficient Stylized Question-Answering via Style Subspace Editing. | Xinyu Ma, Yifeng Xu, Yang Lin, Tianlong Wang, Xu Chu, Xin Gao, Junfeng Zhao, Yasha Wang |
| 2025 | Think-on-Graph 2.0: Deep and Faithful Large Language Model Reasoning with Knowledge-guided Retrieval Augmented Generation. | Shengjie Ma, Chengjin Xu, Xuhui Jiang, Muzhi Li, Huaren Qu, Cehao Yang, Jiaxin Mao, Jian Guo |
| 2025 | Perturbation-Restrained Sequential Model Editing. | Jun-Yu Ma, Hong Wang, Hao-Xiang Xu, Zhen-Hua Ling, Jia-Chen Gu |
| 2025 | Benchmarking Vision Language Model Unlearning via Fictitious Facial Identity Dataset. | Yingzi Ma, Jiongxiao Wang, Fei Wang, Siyuan Ma, Jiazhao Li, Jinsheng Pan, Xiujun Li, Furong Huang, Lichao Sun, Bo Li, Yejin Choi, Muhao Chen, Chaowei Xiao |
| 2025 | Block-Attention for Efficient Prefilling. | Dongyang Ma, Yan Wang, Tian Lan |
| 2025 | Locally Connected Echo State Networks for Time Series Forecasting. | Filip Matzner, Frantisek Mrz |
| 2025 | Walk the Talk? Measuring the Faithfulness of Large Language Model Explanations. | Katie Matton, Robert Osazuwa Ness, John V. Guttag, Emre Kiciman |
| 2025 | Kinetix: Investigating the Training of General Agents through Open-Ended Physics-Based Control Tasks. | Michael T. Matthews, Michael Beukman, Chris Lu, Jakob Nicolaus Foerster |
| 2025 | MIND over Body: Adaptive Thinking using Dynamic Computation. | Mrinal Mathur, Barak A. Pearlmutter, Sergey M. Plis |
| 2025 | Generalizable Motion Planning via Operator Learning. | Sharath Matada, Luke Bhan, Yuanyuan Shi, Nikolay Atanasov |
| 2025 | Vision and Language Synergy for Rehearsal Free Continual Learning. | Muhammad Anwar Ma'sum, Mahardhika Pratama, Savitha Ramasamy, Lin Liu, Habibullah, Ryszard Kowalczyk |
| 2025 | Federated Few-Shot Class-Incremental Learning. | Muhammad Anwar Ma'sum, Mahardhika Pratama, Lin Liu, Habibullah, Ryszard Kowalczyk |
| 2025 | InCoDe: Interpretable Compressed Descriptions For Image Generation. | Armand Comas Massague, Aditya Chattopadhyay, Feliu Formosa, Changyu Liu, Octavia I. Camps, Ren Vidal |
| 2025 | Sparse components distinguish visual pathways & their alignment to neural networks. | Ammar I Marvi, Nancy Kanwisher, Meenakshi Khosla |
| 2025 | Mitigating Information Loss in Tree-Based Reinforcement Learning via Direct Optimization. | Sascha Marton, Tim Grams, Florian Vogt, Stefan Ldtke, Christian Bartelt, Heiner Stuckenschmidt |
| 2025 | PnP-Flow: Plug-and-Play Image Restoration with Flow Matching. | Sgolne Tiffany Martin, Anne Gagneux, Paul Hagemann, Gabriele Steidl |
| 2025 | To Clip or not to Clip: the Dynamics of SGD with Gradient Clipping in High-Dimensions. | Noah Marshall, Ke Liang Xiao, Atish Agarwala, Elliot Paquette |
| 2025 | Language Models Are Implicitly Continuous. | Samuele Marro, Davide Evangelista, Xuanqiang Angelo Huang, Emanuele La Malfa, Michele Lombardi, Michael J. Wooldridge |
| 2025 | Sparse Feature Circuits: Discovering and Editing Interpretable Causal Graphs in Language Models. | Samuel Marks, Can Rager, Eric J. Michaud, Yonatan Belinkov, David Bau, Aaron Mueller |
1,676–1,700 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)