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 | TOMATO: Assessing Visual Temporal Reasoning Capabilities in Multimodal Foundation Models. | Ziyao Shangguan, Chuhan Li, Yuxuan Ding, Yanan Zheng, Yilun Zhao, Tesca Fitzgerald, Arman Cohan |
| 2025 | Efficient Cross-Episode Meta-RL. | Gresa Shala, Andr Biedenkapp, Pierre Krack, Florian Walter, Josif Grabocka |
| 2025 | Aligning Language Models with Demonstrated Feedback. | Omar Shaikh, Michelle S. Lam, Joey Hejna, Yijia Shao, Hyundong Justin Cho, Michael S. Bernstein, Diyi Yang |
| 2025 | More Experts Than Galaxies: Conditionally-Overlapping Experts with Biologically-Inspired Fixed Routing. | Sagi Shaier, Francisco Pereira, Katharina von der Wense, Lawrence Hunter, Matt Jones |
| 2025 | PortLLM: Personalizing Evolving Large Language Models with Training-Free and Portable Model Patches. | Rana Muhammad Shahroz, Pingzhi Li, Sukwon Yun, Zhenyu Wang, Shahriar Nirjon, Chau-Wai Wong, Tianlong Chen |
| 2025 | Don't stop me Now: Embedding based Scheduling for LLMS. | Rana Shahout, Eran Malach, Chunwei Liu, Weifan Jiang, Minlan Yu, Michael Mitzenmacher |
| 2025 | Speech Robust Bench: A Robustness Benchmark For Speech Recognition. | Muhammad A. Shah, David Solans Noguero, Mikko A. Heikkil, Bhiksha Raj, Nicolas Kourtellis |
| 2025 | Quantum (Inspired) D2-sampling with Applications. | Poojan Chetan Shah, Ragesh Jaiswal |
| 2025 | SeedLM: Compressing LLM Weights into Seeds of Pseudo-Random Generators. | Rasoul Shafipour, David Harrison, Maxwell Horton, Jeffrey Marker, Houman Bedayat, Sachin Mehta, Mohammad Rastegari, Mahyar Najibi, Saman Naderiparizi |
| 2025 | LiveXiv - A Multi-Modal live benchmark based on Arxiv papers content. | Nimrod Shabtay, Felipe Maia Polo, Sivan Doveh, Wei Lin, Muhammad Jehanzeb Mirza, Leshem Choshen, Mikhail Yurochkin, Yuekai Sun, Assaf Arbelle, Leonid Karlinsky, Raja Giryes |
| 2025 | Rewarding Progress: Scaling Automated Process Verifiers for LLM Reasoning. | Amrith Setlur, Chirag Nagpal, Adam Fisch, Xinyang Geng, Jacob Eisenstein, Rishabh Agarwal, Alekh Agarwal, Jonathan Berant, Aviral Kumar |
| 2025 | BOND: Aligning LLMs with Best-of-N Distillation. | Pier Giuseppe Sessa, Robert Dadashi-Tazehozi, Lonard Hussenot, Johan Ferret, Nino Vieillard, Alexandre Ram, Bobak Shahriari, Sarah Perrin, Abram L. Friesen, Geoffrey Cideron, Sertan Girgin, Piotr Stanczyk, Andrea Michi, Danila Sinopalnikov, Sabela Ramos Garea, Amlie Hliou, Aliaksei Severyn, Matthew Hoffman, Nikola Momchev, Olivier Bachem |
| 2025 | MediConfusion: Can you trust your AI radiologist? Probing the reliability of multimodal medical foundation models. | Mohammad Shahab Sepehri, Zalan Fabian, Maryam Soltanolkotabi, Mahdi Soltanolkotabi |
| 2025 | Selective Unlearning via Representation Erasure Using Domain Adversarial Training. | Nazanin Mohammadi Sepahvand, Eleni Triantafillou, Hugo Larochelle, Doina Precup, James J. Clark, Daniel M. Roy, Gintare Karolina Dziugaite |
| 2025 | Transition Path Sampling with Improved Off-Policy Training of Diffusion Path Samplers. | Kiyoung Seong, Seonghyun Park, Seonghwan Kim, Woo Youn Kim, Sungsoo Ahn |
| 2025 | K-HALU: Multiple Answer Korean Hallucination Benchmark for Large Language Models. | Jaehyung Seo, Heuiseok Lim |
| 2025 | Generative Flows on Synthetic Pathway for Drug Design. | Seonghwan Seo, Minsu Kim, Tony Shen, Martin Ester, Jinkyoo Park, Sungsoo Ahn, Woo Youn Kim |
| 2025 | Budgeted Online Continual Learning by Adaptive Layer Freezing and Frequency-based Sampling. | Minhyuk Seo, Hyunseo Koh, Jonghyun Choi |
| 2025 | PRISM: Privacy-Preserving Improved Stochastic Masking for Federated Generative Models. | Kyeongkook Seo, Dong-Jun Han, Jaejun Yoo |
| 2025 | You Only Prune Once: Designing Calibration-Free Model Compression With Policy Learning. | Ayan Sengupta, Siddhant Chaudhary, Tanmoy Chakraborty |
| 2025 | LLMs Can Plan Only If We Tell Them. | Bilgehan Sel, Ruoxi Jia, Ming Jin |
| 2025 | Zero-shot Imputation with Foundation Inference Models for Dynamical Systems. | Patrick Seifner, Kostadin Cvejoski, Antonia Krner, Ramss J. Snchez |
| 2025 | Samba: Synchronized Set-of-Sequences Modeling for Multiple Object Tracking. | Mattia Seg, Luigi Piccinelli, Siyuan Li, Yung-Hsu Yang, Luc Van Gool, Bernt Schiele |
| 2025 | Generalization Guarantees for Representation Learning via Data-Dependent Gaussian Mixture Priors. | Milad Sefidgaran, Abdellatif Zaidi, Piotr Krasnowski |
| 2025 | Following the Human Thread in Social Navigation. | Luca Scofano, Alessio Sampieri, Tommaso Campari, Valentino Sacco, Indro Spinelli, Lamberto Ballan, Fabio Galasso |
1,201–1,225 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)