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 | Training Free Exponential Context Extension via Cascading KV Cache. | Jeffrey Willette, Heejun Lee, Youngwan Lee, Myeongjae Jeon, Sung Ju Hwang |
| 2025 | Revisiting text-to-image evaluation with Gecko: on metrics, prompts, and human rating. | Olivia Wiles, Chuhan Zhang, Isabela Albuquerque, Ivana Kajic, Su Wang, Emanuele Bugliarello, Yasumasa Onoe, Pinelopi Papalampidi, Ira Ktena, Christopher Knutsen, Cyrus Rashtchian, Anant Nawalgaria, Jordi Pont-Tuset, Aida Nematzadeh |
| 2025 | Cut Your Losses in Large-Vocabulary Language Models. | Erik Wijmans, Brody Huval, Alexander Hertzberg, Vladlen Koltun, Philipp Krhenbhl |
| 2025 | SFESS: Score Function Estimators for k-Subset Sampling. | Klas Wijk, Ricardo Vinuesa, Hossein Azizpour |
| 2025 | Answer, Assemble, Ace: Understanding How LMs Answer Multiple Choice Questions. | Sarah Wiegreffe, Oyvind Tafjord, Yonatan Belinkov, Hannaneh Hajishirzi, Ashish Sabharwal |
| 2025 | Operator Deep Smoothing for Implied Volatility. | Ruben Wiedemann, Antoine Jacquier, Lukas Gonon |
| 2025 | LiveBench: A Challenging, Contamination-Limited LLM Benchmark. | Colin White, Samuel Dooley, Manley Roberts, Arka Pal, Benjamin Feuer, Siddhartha Jain, Ravid Shwartz-Ziv, Neel Jain, Khalid Saifullah, Sreemanti Dey, Shubh-Agrawal, Sandeep Singh Sandha, Siddartha V. Naidu, Chinmay Hegde, Yann LeCun, Tom Goldstein, Willie Neiswanger, Micah Goldblum |
| 2025 | Grounding Continuous Representations in Geometry: Equivariant Neural Fields. | David R. Wessels, David M. Knigge, Riccardo Valperga, Samuele Papa, Sharvaree P. Vadgama, Efstratios Gavves, Erik J. Bekkers |
| 2025 | From Decoupling to Adaptive Transformation: a Wider Optimization Space for PTQ. | Zhaojing Wen, Qiulin Zhang, Yuan Zhang, Rudan Chen, Xichao Yang, Di Xie, Jiang Zhu |
| 2025 | From Sparse Dependence to Sparse Attention: Unveiling How Chain-of-Thought Enhances Transformer Sample Efficiency. | Kaiyue Wen, Huaqing Zhang, Hongzhou Lin, Jingzhao Zhang |
| 2025 | Language Models Learn to Mislead Humans via RLHF. | Jiaxin Wen, Ruiqi Zhong, Akbir Khan, Ethan Perez, Jacob Steinhardt, Minlie Huang, Samuel R. Bowman, He He, Shi Feng |
| 2025 | HyperPLR: Hypergraph Generation through Projection, Learning, and Reconstruction. | Weihuang Wen, Tianshu Yu |
| 2025 | LIFe-GoM: Generalizable Human Rendering with Learned Iterative Feedback Over Multi-Resolution Gaussians-on-Mesh. | Jing Wen, Alexander G. Schwing, Shenlong Wang |
| 2025 | Towards Generalization Bounds of GCNs for Adversarially Robust Node Classification. | Wen Wen, Han Li, Tieliang Gong, Hong Chen |
| 2025 | Rethinking Reward Model Evaluation: Are We Barking up the Wrong Tree? | Xueru Wen, Jie Lou, Yaojie Lu, Hongyu Lin, XingYu, Xinyu Lu, Ben He, Xianpei Han, Debing Zhang, Le Sun |
| 2025 | Adaptive Deployment of Untrusted LLMs Reduces Distributed Threats. | Jiaxin Wen, Vivek Hebbar, Caleb Larson, Aryan Bhatt, Ansh Radhakrishnan, Mrinank Sharma, Henry Sleight, Shi Feng, He He, Ethan Perez, Buck Shlegeris, Akbir Khan |
| 2025 | CycleResearcher: Improving Automated Research via Automated Review. | Yixuan Weng, Minjun Zhu, Guangsheng Bao, Hongbo Zhang, Jindong Wang, Yue Zhang, Linyi Yang |
| 2025 | PivotMesh: Generic 3D Mesh Generation via Pivot Vertices Guidance. | Haohan Weng, Yikai Wang, Tong Zhang, C. L. Philip Chen, Jun Zhu |
| 2025 | Do as We Do, Not as You Think: the Conformity of Large Language Models. | Zhiyuan Weng, Guikun Chen, Wenguan Wang |
| 2025 | RNNs are not Transformers (Yet): The Key Bottleneck on In-Context Retrieval. | Kaiyue Wen, Xingyu Dang, Kaifeng Lyu |
| 2025 | Optimal Learning of Kernel Logistic Regression for Complex Classification Scenarios. | Hongwei Wen, Annika Betken, Hanyuan Hang |
| 2025 | Understanding Warmup-Stable-Decay Learning Rates: A River Valley Loss Landscape View. | Kaiyue Wen, Zhiyuan Li, Jason S. Wang, David Leo Wright Hall, Percy Liang, Tengyu Ma |
| 2025 | CodePlan: Unlocking Reasoning Potential in Large Language Models by Scaling Code-form Planning. | Jiaxin Wen, Jian Guan, Hongning Wang, Wei Wu, Minlie Huang |
| 2025 | Shedding Light on Time Series Classification using Interpretability Gated Networks. | Yunshi Wen, Tengfei Ma, Ronny Luss, Debarun Bhattacharjya, Achille Fokoue, Anak Agung Julius |
| 2025 | M^3PC: Test-time Model Predictive Control using Pretrained Masked Trajectory Model. | Kehan Wen, Yutong Hu, Yao Mu, Lei Ke |
701–725 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)