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 | Probabilistic Conformal Prediction with Approximate Conditional Validity. | Vincent Plassier, Alexander Fishkov, Mohsen Guizani, Maxim Panov, Eric Moulines |
| 2025 | Training Language Models on Synthetic Edit Sequences Improves Code Synthesis. | Ulyana Piterbarg, Lerrel Pinto, Rob Fergus |
| 2025 | Grammar Reinforcement Learning: path and cycle counting in graphs with a Context-Free Grammar and Transformer approach. | Jason Piquenot, Maxime Berar, Romain Raveaux, Pierre Hroux, Jean-Yves Ramel, Sbastien Adam |
| 2025 | Benchmarking Predictive Coding Networks - Made Simple. | Luca Pinchetti, Chang Qi, Oleh Lokshyn, Cornelius Emde, Amine M'Charrak, Mufeng Tang, Simon Frieder, Bayar Menzat, Gaspard Oliviers, Rafal Bogacz, Thomas Lukasiewicz, Tommaso Salvatori |
| 2025 | PaPaGei: Open Foundation Models for Optical Physiological Signals. | Arvind Pillai, Dimitris Spathis, Fahim Kawsar, Mohammad Malekzadeh |
| 2025 | Efficient Sparse PCA via Block-Diagonalization. | Alberto Del Pia, Dekun Zhou, Yinglun Zhu |
| 2025 | Personalized Visual Instruction Tuning. | Renjie Pi, Jianshu Zhang, Tianyang Han, Jipeng Zhang, Rui Pan, Tong Zhang |
| 2025 | Exact Byte-Level Probabilities from Tokenized Language Models for FIM-Tasks and Model Ensembles. | Buu Phan, Brandon Amos, Itai Gat, Marton Havasi, Matthew J. Muckley, Karen Ullrich |
| 2025 | MDSGen: Fast and Efficient Masked Diffusion Temporal-Aware Transformers for Open-Domain Sound Generation. | Trung X. Pham, Tri Ton, Chang D. Yoo |
| 2025 | Rapid Selection and Ordering of In-Context Demonstrations via Prompt Embedding Clustering. | Kha Pham, Hung Le, Man Ngo, Truyen Tran |
| 2025 | Efficient Interpolation between Extragradient and Proximal Methods for Weak MVIs. | Thomas Pethick, Ioannis Mavrothalassitis, Volkan Cevher |
| 2025 | When LLMs Play the Telephone Game: Cultural Attractors as Conceptual Tools to Evaluate LLMs in Multi-turn Settings. | Jrmy Perez, Grgur Kovac, Corentin Lger, Cdric Colas, Gaia Molinaro, Maxime Derex, Pierre-Yves Oudeyer, Clment Moulin-Frier |
| 2025 | Fengbo: a Clifford Neural Operator pipeline for 3D PDEs in Computational Fluid Dynamics. | Alberto Pepe, Mattia Montanari, Joan Lasenby |
| 2025 | Leveraging Flatness to Improve Information-Theoretic Generalization Bounds for SGD. | Ze Peng, Jian Zhang, Yisen Wang, Lei Qi, Yinghuan Shi, Yang Gao |
| 2025 | ReGenesis: LLMs can Grow into Reasoning Generalists via Self-Improvement. | Xiangyu Peng, Congying Xia, Xinyi Yang, Caiming Xiong, Chien-Sheng Wu, Chen Xing |
| 2025 | Adversarial Mixup Unlearning. | Zhuoyi Peng, Yixuan Tang, Yi Yang |
| 2025 | 3D Vision-Language Gaussian Splatting. | Qucheng Peng, Benjamin Planche, Zhongpai Gao, Meng Zheng, Anwesa Choudhuri, Terrence Chen, Chen Chen, Ziyan Wu |
| 2025 | Pushing the Limits of All-Atom Geometric Graph Neural Networks: Pre-Training, Scaling, and Zero-Shot Transfer. | Zihan Pengmei, Zhengyuan Shen, Zichen Wang, Marcus D. Collins, Huzefa Rangwala |
| 2025 | D-FINE: Redefine Regression Task of DETRs as Fine-grained Distribution Refinement. | Yansong Peng, Hebei Li, Peixi Wu, Yueyi Zhang, Xiaoyan Sun, Feng Wu |
| 2025 | Towards Realistic Data Generation for Real-World Super-Resolution. | Long Peng, Wenbo Li, Renjing Pei, Jingjing Ren, Jiaqi Xu, Yang Wang, Yang Cao, Zheng-Jun Zha |
| 2025 | Noise Separation guided Candidate Label Reconstruction for Noisy Partial Label Learning. | Xiaorui Peng, Yuheng Jia, Fuchao Yang, Ran Wang, Min-Ling Zhang |
| 2025 | Biologically Plausible Brain Graph Transformer. | Ciyuan Peng, Yuelong Huang, Qichao Dong, Shuo Yu, Feng Xia, Chengqi Zhang, Yaochu Jin |
| 2025 | LoRanPAC: Low-rank Random Features and Pre-trained Models for Bridging Theory and Practice in Continual Learning. | Liangzu Peng, Juan Elenter, Joshua Agterberg, Alejandro Ribeiro, Ren Vidal |
| 2025 | DreamBench++: A Human-Aligned Benchmark for Personalized Image Generation. | Yuang Peng, Yuxin Cui, Haomiao Tang, Zekun Qi, Runpei Dong, Jing Bai, Chunrui Han, Zheng Ge, Xiangyu Zhang, Shu-Tao Xia |
| 2025 | Correlation and Navigation in the Vocabulary Key Representation Space of Language Models. | Letian Peng, Chenyang An, Jingbo Shang |
1,426–1,450 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)