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 | GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models. | Iman Mirzadeh, Keivan Alizadeh, Hooman Shahrokhi, Oncel Tuzel, Samy Bengio, Mehrdad Farajtabar |
| 2025 | Designing Mechanical Meta-Materials by Learning Equivariant Flows. | Mehran Mirramezani, Anne S. Meeussen, Katia Bertoldi, Peter Orbanz, Ryan P. Adams |
| 2025 | Boltzmann Semantic Score: A Semantic Metric for Evaluating Large Vision Models Using Large Language Models. | Ali Khajegili Mirabadi, Katherine Rich, Hossein Farahani, Ali Bashashati |
| 2025 | DOCS: Quantifying Weight Similarity for Deeper Insights into Large Language Models. | Zeping Min, Xinshang Wang |
| 2025 | Turning Up the Heat: Min-p Sampling for Creative and Coherent LLM Outputs. | Nguyen Nhat Minh, Andrew Baker, Clement Neo, Allen G. Roush, Andreas Kirsch, Ravid Shwartz-Ziv |
| 2025 | FaithEval: Can Your Language Model Stay Faithful to Context, Even If "The Moon is Made of Marshmallows". | Yifei Ming, Senthil Purushwalkam, Shrey Pandit, Zixuan Ke, Xuan-Phi Nguyen, Caiming Xiong, Shafiq Joty |
| 2025 | Generating Graphs via Spectral Diffusion. | Giorgia Minello, Alessandro Bicciato, Luca Rossi, Andrea Torsello, Luca Cosmo |
| 2025 | Rethinking Evaluation of Sparse Autoencoders through the Representation of Polysemous Words. | Gouki Minegishi, Hiroki Furuta, Yusuke Iwasawa, Yutaka Matsuo |
| 2025 | Controllable Context Sensitivity and the Knob Behind It. | Julian Minder, Kevin Du, Niklas Stoehr, Giovanni Monea, Chris Wendler, Robert West, Ryan Cotterell |
| 2025 | ProtoSnap: Prototype Alignment For Cuneiform Signs. | Rachel Mikulinsky, Morris Alper, Shai Gordin, Enrique Jimnez, Yoram Cohen, Hadar Averbuch-Elor |
| 2025 | Breaking the Reclustering Barrier in Centroid-based Deep Clustering. | Lukas Miklautz, Timo Klein, Kevin Sidak, Collin Leiber, Thomas Lang, Andrii Shkabrii, Sebastian Tschiatschek, Claudia Plant |
| 2025 | Tuning Timestep-Distilled Diffusion Model Using Pairwise Sample Optimization. | Zichen Miao, Zhengyuan Yang, Kevin Lin, Ze Wang, Zicheng Liu, Lijuan Wang, Qiang Qiu |
| 2025 | Multi-agent cooperation through learning-aware policy gradients. | Alexander Meulemans, Seijin Kobayashi, Johannes von Oswald, Nino Scherrer, Eric Elmoznino, Blake Aaron Richards, Guillaume Lajoie, Blaise Agera y Arcas, Joo Sacramento |
| 2025 | Reward Learning from Multiple Feedback Types. | Yannick Metz, Andrs Geiszl, Raphal Baur, Mennatallah El-Assady |
| 2025 | Student-Informed Teacher Training. | Nico Messikommer, Jiaxu Xing, Elie Aljalbout, Davide Scaramuzza |
| 2025 | On Linear Representations and Pretraining Data Frequency in Language Models. | Jack Merullo, Noah A. Smith, Sarah Wiegreffe, Yanai Elazar |
| 2025 | MMIU: Multimodal Multi-image Understanding for Evaluating Large Vision-Language Models. | Fanqing Meng, Jin Wang, Chuanhao Li, Quanfeng Lu, Hao Tian, Tianshuo Yang, Jiaqi Liao, Xizhou Zhu, Jifeng Dai, Yu Qiao, Ping Luo, Kaipeng Zhang, Wenqi Shao |
| 2025 | PolaFormer: Polarity-aware Linear Attention for Vision Transformers. | Weikang Meng, Yadan Luo, Xin Li, Dongmei Jiang, Zheng Zhang |
| 2025 | Exploring a Principled Framework for Deep Subspace Clustering. | Xianghan Meng, Zhiyuan Huang, Wei He, Xianbiao Qi, Rong Xiao, Chun-Guang Li |
| 2025 | Supervised and Semi-Supervised Diffusion Maps with Label-Driven Diffusion. | Harel Mendelman, Ronen Talmon |
| 2025 | STRAP: Robot Sub-Trajectory Retrieval for Augmented Policy Learning. | Marius Memmel, Jacob Berg, Bingqing Chen, Abhishek Gupta, Jonathan Francis |
| 2025 | Everything, Everywhere, All at Once: Is Mechanistic Interpretability Identifiable? | Maxime Mloux, Silviu Maniu, Franois Portet, Maxime Peyrard |
| 2025 | Field-DiT: Diffusion Transformer on Unified Video, 3D, and Game Field Generation. | Kangfu Mei, Mo Zhou, Vishal M. Patel |
| 2025 | U-Nets as Belief Propagation: Efficient Classification, Denoising, and Diffusion in Generative Hierarchical Models. | Song Mei |
| 2025 | Estimation of single-cell and tissue perturbation effect in spatial transcriptomics via Spatial Causal Disentanglement. | Stathis Megas, Daniel G. Chen, Krzysztof Polanski, Moshe Eliasof, Carola-Bibiane Schnlieb, Sarah A. Teichmann |
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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)