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 | An Asynchronous Bundle Method for Distributed Learning Problems. | Daniel Cederberg, Xuyang Wu, Stephen P. Boyd, Mikael Johansson |
| 2025 | Interpretable Causal Representation Learning for Biological Data in the Pathway Space. | Jesus de la Fuente Cedeo, Robert Lehmann, Carlos Ruiz-Arenas, Jan Voges, Irene Marn-Goi, Xabier Martinez de Morentin, David Gomez-Cabrero, Idoia Ochoa, Jesper Tegnr, Vincenzo Lagani, Mikel Hernaez |
| 2025 | Tighter Privacy Auditing of DP-SGD in the Hidden State Threat Model. | Tudor Ioan Cebere, Aurlien Bellet, Nicolas Papernot |
| 2025 | Adaptive backtracking line search. | Joao V. Cavalcanti, Laurent Lessard, Ashia C. Wilson |
| 2025 | Natural Language Inference Improves Compositionality in Vision-Language Models. | Paola Cascante-Bonilla, Yu Hou, Yang Trista Cao, Hal Daum III, Rachel Rudinger |
| 2025 | The Case for Cleaner Biosignals: High-fidelity Neural Compressor Enables Transfer from Cleaner iEEG to Noisier EEG. | Francesco S. Carzaniga, Gary Tom Hoppeler, Michael Hersche, Kaspar Schindler, Abbas Rahimi |
| 2025 | CtD: Composition through Decomposition in Emergent Communication. | Boaz Carmeli, Ron Meir, Yonatan Belinkov |
| 2025 | The Hyperfitting Phenomenon: Sharpening and Stabilizing LLMs for Open-Ended Text Generation. | Fredrik Carlsson, Fangyu Liu, Daniel Ward, Murathan Kurfali, Joakim Nivre |
| 2025 | CONGO: Compressive Online Gradient Optimization. | Jeremy Carleton, Prathik Vijaykumar, Divyanshu Saxena, Dheeraj Narasimha, Srinivas Shakkottai, Aditya Akella |
| 2025 | LLM-wrapper: Black-Box Semantic-Aware Adaptation of Vision-Language Models for Referring Expression Comprehension. | Amaia Cardiel, Eloi Zablocki, Elias Ramzi, Oriane Simoni, Matthieu Cord |
| 2025 | Noisy Test-Time Adaptation in Vision-Language Models. | Chentao Cao, Zhun Zhong, Zhanke Zhou, Tongliang Liu, Yang Liu, Kun Zhang, Bo Han |
| 2025 | FOSP: Fine-tuning Offline Safe Policy through World Models. | Chenyang Cao, Yucheng Xin, Silang Wu, Longxiang He, Zichen Yan, Junbo Tan, Xueqian Wang |
| 2025 | ParamΔ for Direct Mixing: Post-Train Large Language Model At Zero Cost. | Sheng Cao, Mingrui Wu, Karthik Prasad, Yuandong Tian, Zechun Liu |
| 2025 | AvatarGO: Zero-shot 4D Human-Object Interaction Generation and Animation. | Yukang Cao, Liang Pan, Kai Han, Kwan-Yee K. Wong, Ziwei Liu |
| 2025 | Few-Class Arena: A Benchmark for Efficient Selection of Vision Models and Dataset Difficulty Measurement. | Bryan Bo Cao, Lawrence O'Gorman, Michael Coss, Shubham Jain |
| 2025 | SimXRD-4M: Big Simulated X-ray Diffraction Data and Crystal Symmetry Classification Benchmark. | Bin Cao, Yang Liu, Zinan Zheng, Ruifeng Tan, Jia Li, Tong-Yi Zhang |
| 2025 | NeurFlow: Interpreting Neural Networks through Neuron Groups and Functional Interactions. | Tue Minh Cao, Nhat Hoang-Xuan, Hieu H. Pham, Phi Le Nguyen, My T. Thai |
| 2025 | Lightweight Predictive 3D Gaussian Splats. | Junli Cao, Vidit Goel, Chaoyang Wang, Anil Kag, Ju Hu, Sergei Korolev, Chenfanfu Jiang, Sergey Tulyakov, Jian Ren |
| 2025 | Causal Information Prioritization for Efficient Reinforcement Learning. | Hongye Cao, Fan Feng, Tianpei Yang, Jing Huo, Yang Gao |
| 2025 | Towards Empowerment Gain through Causal Structure Learning in Model-Based Reinforcement Learning. | Hongye Cao, Fan Feng, Meng Fang, Shaokang Dong, Tianpei Yang, Jing Huo, Yang Gao |
| 2025 | Spectral-Refiner: Accurate Fine-Tuning of Spatiotemporal Fourier Neural Operator for Turbulent Flows. | Shuhao Cao, Francesco Brarda, Ruipeng Li, Yuanzhe Xi |
| 2025 | Accelerating Task Generalisation with Multi-Level Skill Hierarchies. | Thomas P. Cannon, zgr Simsek |
| 2025 | Advancing Out-of-Distribution Detection via Local Neuroplasticity. | Alessandro Canevaro, Julian Schmidt, Mohammad Sajad Marvi, Hang Yu, Georg Martius, Julian Jordan |
| 2025 | Logically Consistent Language Models via Neuro-Symbolic Integration. | Diego Calanzone, Stefano Teso, Antonio Vergari |
| 2025 | Matryoshka Multimodal Models. | Mu Cai, Jianwei Yang, Jianfeng Gao, Yong Jae Lee |
3,201–3,225 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)