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 | The Superposition of Diffusion Models Using the It Density Estimator. | Marta Skreta, Lazar Atanackovic, Joey Bose, Alexander Tong, Kirill Neklyudov |
| 2025 | Can LLMs Generate Novel Research Ideas? A Large-Scale Human Study with 100+ NLP Researchers. | Chenglei Si, Diyi Yang, Tatsunori Hashimoto |
| 2025 | Maintaining Structural Integrity in Parameter Spaces for Parameter Efficient Fine-tuning. | Chongjie Si, Xuehui Wang, Xue Yang, Zhengqin Xu, Qingyun Li, Jifeng Dai, Yu Qiao, Xiaokang Yang, Wei Shen |
| 2025 | Unleashing the Power of Task-Specific Directions in Parameter Efficient Fine-tuning. | Chongjie Si, Zhiyi Shi, Shifan Zhang, Xiaokang Yang, Hanspeter Pfister, Wei Shen |
| 2025 | Measuring And Improving Persuasiveness Of Large Language Models. | Somesh Kumar Singh, Yaman Kumar Singla, Harini S. I, Balaji Krishnamurthy |
| 2025 | PEAR: Primitive Enabled Adaptive Relabeling for Boosting Hierarchical Reinforcement Learning. | Utsav Singh, Vinay P. Namboodiri |
| 2025 | Teaching Human Behavior Improves Content Understanding Abilities Of VLMs. | Somesh Kumar Singh, Harini S. I, Yaman Kumar Singla, Changyou Chen, Rajiv Ratn Shah, Veeky Baths, Balaji Krishnamurthy |
| 2025 | The Directionality of Optimization Trajectories in Neural Networks. | Sidak Pal Singh, Bobby He, Thomas Hofmann, Bernhard Schlkopf |
| 2025 | Storybooth: Training-Free Multi-Subject Consistency for Improved Visual Storytelling. | Jaskirat Singh, Junshen K. Chen, Jonas Kohler, Michael F. Cohen |
| 2025 | SBSC: Step-by-Step Coding for Improving Mathematical Olympiad Performance. | Kunal Singh, Ankan Biswas, Sayandeep Bhowmick, Pradeep Moturi, Siva Kishore Gollapalli |
| 2025 | Multilevel Generative Samplers for Investigating Critical Phenomena. | Ankur Singha, Elia Cellini, Kim Andrea Nicoli, Karl Jansen, Stefan Khn, Shinichi Nakajima |
| 2025 | Beyond Worst-Case Dimensionality Reduction for Sparse Vectors. | Sandeep Silwal, David P. Woodruff, Qiuyi Zhang |
| 2025 | Generalization and Distributed Learning of GFlowNets. | Tiago Silva, Amauri H. Souza, Omar Rivasplata, Vikas Garg, Samuel Kaski, Diego Mesquita |
| 2025 | Fast Uncovering of Protein Sequence Diversity from Structure. | Luca Alessandro Silva, Barthlmy Meynard-Piganeau, Carlo Lucibello, Christoph Feinauer |
| 2025 | When do GFlowNets learn the right distribution? | Tiago da Silva, Rodrigo Barreto Alves, Eliezer de Souza da Silva, Amauri H. Souza, Vikas Garg, Samuel Kaski, Diego Mesquita |
| 2025 | Latent-EnSF: A Latent Ensemble Score Filter for High-Dimensional Data Assimilation with Sparse Observation Data. | Phillip Si, Peng Chen |
| 2025 | Lie Algebra Canonicalization: Equivariant Neural Operators under arbitrary Lie Groups. | Zakhar Shumaylov, Peter Zaika, James Rowbottom, Ferdia Sherry, Melanie Weber, Carola-Bibiane Schnlieb |
| 2025 | LLaVA-MoD: Making LLaVA Tiny via MoE-Knowledge Distillation. | Fangxun Shu, Yue Liao, Lei Zhang, Le Zhuo, Chenning Xu, Guanghao Zhang, Haonan Shi, Long Chan, Tao Zhong, Zhelun Yu, Wanggui He, Siming Fu, Haoyuan Li, Si Liu, Hongsheng Li, Hao Jiang |
| 2025 | ManiSkill-HAB: A Benchmark for Low-Level Manipulation in Home Rearrangement Tasks. | Arth Shukla, Stone Tao, Hao Su |
| 2025 | Towards Self-Supervised Covariance Estimation in Deep Heteroscedastic Regression. | Megh Shukla, Aziz Shameem, Mathieu Salzmann, Alexandre Alahi |
| 2025 | Large-scale and Fine-grained Vision-language Pre-training for Enhanced CT Image Understanding. | Zhongyi Shui, Jianpeng Zhang, Weiwei Cao, Sinuo Wang, Ruizhe Guo, Le Lu, Lin Yang, Xianghua Ye, Tingbo Liang, Qi Zhang, Ling Zhang |
| 2025 | On Bits and Bandits: Quantifying the Regret-Information Trade-off. | Itai Shufaro, Nadav Merlis, Nir Weinberger, Shie Mannor |
| 2025 | Content-Style Learning from Unaligned Domains: Identifiability under Unknown Latent Dimensions. | Sagar Shrestha, Xiao Fu |
| 2025 | LLM-SR: Scientific Equation Discovery via Programming with Large Language Models. | Parshin Shojaee, Kazem Meidani, Shashank Gupta, Amir Barati Farimani, Chandan K. Reddy |
| 2025 | The Crucial Role of Samplers in Online Direct Preference Optimization. | Ruizhe Shi, Runlong Zhou, Simon Shaolei Du |
1,126–1,150 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)