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 | One Step Diffusion via Shortcut Models. | Kevin Frans, Danijar Hafner, Sergey Levine, Pieter Abbeel |
| 2025 | Learning to Solve Differential Equation Constrained Optimization Problems. | Vincenzo Di Vito Francesco, Mostafa Mohammadian, Kyri Baker, Ferdinando Fioretto |
| 2025 | Human-inspired Episodic Memory for Infinite Context LLMs. | Zafeirios Fountas, Martin Benfeghoul, Adnan Oomerjee, Fenia Christopoulou, Gerasimos Lampouras, Haitham Bou-Ammar, Jun Wang |
| 2025 | Hadamrnn: Binary and Sparse Ternary orthogonal RNNs. | Armand Foucault, Franois Malgouyres, Franck Mamalet |
| 2025 | CarbonSense: A Multimodal Dataset and Baseline for Carbon Flux Modelling. | Matthew Fortier, Mats Leon Richter, Oliver Sonnentag, Christopher Pal |
| 2025 | Scaling Laws for Adversarial Attacks on Language Model Activations and Tokens. | Stanislav Fort |
| 2025 | DistillHGNN: A Knowledge Distillation Approach for High-Speed Hypergraph Neural Networks. | Saman Forouzandeh, Parham Moradi, Mahdi Jalili |
| 2025 | Confidence Elicitation: A New Attack Vector for Large Language Models. | Brian Formento, Chuan-Sheng Foo, See-Kiong Ng |
| 2025 | Scaling FP8 training to trillion-token LLMs. | Maxim Fishman, Brian Chmiel, Ron Banner, Daniel Soudry |
| 2025 | Maximizing the Potential of Synthetic Data: Insights from Random Matrix Theory. | Aymane El Firdoussi, Mohamed El Amine Seddik, Soufiane Hayou, Rda Alami, Ahmed Alzubaidi, Hakim Hacid |
| 2025 | NNsight and NDIF: Democratizing Access to Open-Weight Foundation Model Internals. | Jaden Fried Fiotto-Kaufman, Alexander Russell Loftus, Eric Todd, Jannik Brinkmann, Koyena Pal, Dmitrii Troitskii, Michael Ripa, Adam Belfki, Can Rager, Caden Juang, Aaron Mueller, Samuel Marks, Arnab Sen Sharma, Francesca Lucchetti, Nikhil Prakash, Carla E. Brodley, Arjun Guha, Jonathan Bell, Byron C. Wallace, David Bau |
| 2025 | ALBAR: Adversarial Learning approach to mitigate Biases in Action Recognition. | Joseph Fioresi, Ishan Rajendrakumar Dave, Mubarak Shah |
| 2025 | Compute-Optimal LLMs Provably Generalize Better with Scale. | Marc Anton Finzi, Sanyam Kapoor, Diego Granziol, Anming Gu, Christopher De Sa, J. Zico Kolter, Andrew Gordon Wilson |
| 2025 | Inverse Constitutional AI: Compressing Preferences into Principles. | Arduin Findeis, Timo Kaufmann, Eyke Hllermeier, Samuel Albanie, Robert Mullins |
| 2025 | No Need to Talk: Asynchronous Mixture of Language Models. | Anastasiia Filippova, Angelos Katharopoulos, David Grangier, Ronan Collobert |
| 2025 | Restructuring Vector Quantization with the Rotation Trick. | Christopher Fifty, Ronald Guenther Junkins, Dennis Duan, Aniketh Iyengar, Jerry Weihong Liu, Ehsan Amid, Sebastian Thrun, Christopher R |
| 2025 | Style Outweighs Substance: Failure Modes of LLM Judges in Alignment Benchmarking. | Benjamin Feuer, Micah Goldblum, Teresa Datta, Sanjana Nambiar, Raz Besaleli, Samuel Dooley, Max Cembalest, John P. Dickerson |
| 2025 | Beyond Random Augmentations: Pretraining with Hard Views. | Fabio Ferreira, Ivo Rapant, Jrg K. H. Franke, Frank Hutter |
| 2025 | Do I Know This Entity? Knowledge Awareness and Hallucinations in Language Models. | Javier Ferrando, Oscar Balcells Obeso, Senthooran Rajamanoharan, Neel Nanda |
| 2025 | A new framework for evaluating model out-of-distribution generalisation for the biochemical domain. | Ral Fernndez-Daz, Hoang Thanh Lam, Vanessa Lpez, Denis C. Shields |
| 2025 | Training Large Language Models for Retrieval-Augmented Question Answering through Backtracking Correction. | Huawen Feng, Zekun Yao, Junhao Zheng, Qianli Ma |
| 2025 | Sequential Stochastic Combinatorial Optimization Using Hierarchal Reinforcement Learning. | Xinsong Feng, Zihan Yu, Yanhai Xiong, Haipeng Chen |
| 2025 | Beyond Graphs: Can Large Language Models Comprehend Hypergraphs? | Yifan Feng, Chengwu Yang, Xingliang Hou, Shaoyi Du, Shihui Ying, Zongze Wu, Yue Gao |
| 2025 | GraphRouter: A Graph-based Router for LLM Selections. | Tao Feng, Yanzhen Shen, Jiaxuan You |
| 2025 | GraphEval: A Lightweight Graph-Based LLM Framework for Idea Evaluation. | Tao Feng, Yihang Sun, Jiaxuan You |
2,776–2,800 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)