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 | HELM: Hierarchical Encoding for mRNA Language Modeling. | Mehdi Yazdani-Jahromi, Mangal Prakash, Tommaso Mansi, Artem Moskalev, Rui Liao |
| 2025 | PhyloLM: Inferring the Phylogeny of Large Language Models and Predicting their Performances in Benchmarks. | Nicolas Yax, Pierre-Yves Oudeyer, Stefano Palminteri |
| 2025 | SGD with memory: fundamental properties and stochastic acceleration. | Dmitry Yarotsky, Maksim Velikanov |
| 2025 | Decentralized Optimization with Coupled Constraints. | Demyan Yarmoshik, Alexander Rogozin, Nikita Kiselev, Daniil Dorin, Alexander V. Gasnikov, Dmitry Kovalev |
| 2025 | A Robust Method to Discover Causal or Anticausal Relation. | Yu Yao, Yang Zhou, Bo Han, Mingming Gong, Kun Zhang, Tongliang Liu |
| 2025 | Reflective Gaussian Splatting. | Yuxuan Yao, Zixuan Zeng, Chun Gu, Xiatian Zhu, Li Zhang |
| 2025 | Overcoming Lower-Level Constraints in Bilevel Optimization: A Novel Approach with Regularized Gap Functions. | Wei Yao, Haian Yin, Shangzhi Zeng, Jin Zhang |
| 2025 | Towards Neural Scaling Laws for Time Series Foundation Models. | Qingren Yao, Chao-Han Huck Yang, Renhe Jiang, Yuxuan Liang, Ming Jin, Shirui Pan |
| 2025 | {τ}-bench: A Benchmark for \underline{T}ool-\underline{A}gent-\underline{U}ser Interaction in Real-World Domains. | Shunyu Yao, Noah Shinn, Pedram Razavi, Karthik R. Narasimhan |
| 2025 | Unifying Causal Representation Learning with the Invariance Principle. | Dingling Yao, Dario Rancati, Riccardo Cadei, Marco Fumero, Francesco Locatello |
| 2025 | Offline RL with Smooth OOD Generalization in Convex Hull and its Neighborhood. | Qingmao Yao, Zhichao Lei, Tianyuan Chen, Ziyue Yuan, Xuefan Chen, Jianxiang Liu, Faguo Wu, Xiao Zhang |
| 2025 | GenSE: Generative Speech Enhancement via Language Models using Hierarchical Modeling. | Jixun Yao, Hexin Liu, Chen Chen, Yuchen Hu, Eng Siong Chng, Lei Xie |
| 2025 | DeFT: Decoding with Flash Tree-attention for Efficient Tree-structured LLM Inference. | Jinwei Yao, Kaiqi Chen, Kexun Zhang, Jiaxuan You, Binhang Yuan, Zeke Wang, Tao Lin |
| 2025 | Single-agent Poisoning Attacks Suffice to Ruin Multi-Agent Learning. | Fan Yao, Yuwei Cheng, Ermin Wei, Haifeng Xu |
| 2025 | No Preference Left Behind: Group Distributional Preference Optimization. | Binwei Yao, Zefan Cai, Yun-Shiuan Chuang, Shanglin Yang, Ming Jiang, Diyi Yang, Junjie Hu |
| 2025 | Determine-Then-Ensemble: Necessity of Top-k Union for Large Language Model Ensembling. | Yuxuan Yao, Han Wu, Mingyang Liu, Sichun Luo, Xiongwei Han, Jie Liu, Zhijiang Guo, Linqi Song |
| 2025 | Learning Graph Invariance by Harnessing Spuriosity. | Tianjun Yao, Yongqiang Chen, Kai Hu, Tongliang Liu, Kun Zhang, Zhiqiang Shen |
| 2025 | Manifold Constraint Reduces Exposure Bias in Accelerated Diffusion Sampling. | Yuzhe Yao, Jun Chen, Zeyi Huang, Haonan Lin, Mengmeng Wang, Guang Dai, Jingdong Wang |
| 2025 | Varying Shades of Wrong: Aligning LLMs with Wrong Answers Only. | Jihan Yao, Wenxuan Ding, Shangbin Feng, Lucy Lu Wang, Yulia Tsvetkov |
| 2025 | CR-CTC: Consistency regularization on CTC for improved speech recognition. | Zengwei Yao, Wei Kang, Xiaoyu Yang, Fangjun Kuang, Liyong Guo, Han Zhu, Zengrui Jin, Zhaoqing Li, Long Lin, Daniel Povey |
| 2025 | Problem-Parameter-Free Federated Learning. | Wenjing Yan, Kai Zhang, Xiaolu Wang, Xuanyu Cao |
| 2025 | FIG: Flow with Interpolant Guidance for Linear Inverse Problems. | Yici Yan, Yichi Zhang, Xiangming Meng, Zhizhen Zhao |
| 2025 | Efficient Reinforcement Learning with Large Language Model Priors. | Xue Yan, Yan Song, Xidong Feng, Mengyue Yang, Haifeng Zhang, Haitham Bou-Ammar, Jun Wang |
| 2025 | 3D-Properties: Identifying Challenges in DPO and Charting a Path Forward. | Yuzi Yan, Yibo Miao, Jialian Li, Yipin Zhang, Jian Xie, Zhijie Deng, Dong Yan |
| 2025 | ElasticTok: Adaptive Tokenization for Image and Video. | Wilson Yan, Volodymyr Mnih, Aleksandra Faust, Matei Zaharia, Pieter Abbeel, Hao Liu |
426–450 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)