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 | A Generic Framework for Conformal Fairness. | Aditya T. Vadlamani, Anutam Srinivasan, Pranav Maneriker, Ali Payani, Srinivasan Parthasarathy |
| 2025 | Intermediate Layer Classifiers for OOD generalization. | Arnas Uselis, Seong Joon Oh |
| 2025 | Disentangled Representation Learning with the Gromov-Monge Gap. | Tho Uscidda, Luca Eyring, Karsten Roth, Fabian J. Theis, Zeynep Akata, Marco Cuturi |
| 2025 | Model Editing as a Robust and Denoised variant of DPO: A Case Study on Toxicity. | Rheeya Uppaal, Apratim Dey, Yiting He, Yiqiao Zhong, Junjie Hu |
| 2025 | Relation-Aware Diffusion for Heterogeneous Graphs with Partially Observed Features. | Daeho Um, Yoonji Lee, Jiwoong Park, Seulki Park, Yuneil Yeo, Seong-Jin Ahn |
| 2025 | Spreading Out-of-Distribution Detection on Graphs. | Daeho Um, Jongin Lim, Sunoh Kim, Yuneil Yeo, Yoonho Jung |
| 2025 | IterGen: Iterative Semantic-aware Structured LLM Generation with Backtracking. | Shubham Ugare, Rohan Gumaste, Tarun Suresh, Gagandeep Singh, Sasa Misailovic |
| 2025 | Weighted Point Set Embedding for Multimodal Contrastive Learning Toward Optimal Similarity Metric. | Toshimitsu Uesaka, Taiji Suzuki, Yuhta Takida, Chieh-Hsin Lai, Naoki Murata, Yuki Mitsufuji |
| 2025 | Start Smart: Leveraging Gradients For Enhancing Mask-based XAI Methods. | Buelent Uendes, Shujian Yu, Mark Hoogendoorn |
| 2025 | EffoVPR: Effective Foundation Model Utilization for Visual Place Recognition. | Issar Tzachor, Boaz Lerner, Matan Levy, Michael Green, Tal Berkovitz Shalev, Gavriel Habib, Dvir Samuel, Noam Korngut Zailer, Or Shimshi, Nir Darshan, Rami Ben-Ari |
| 2025 | Tight Time Complexities in Parallel Stochastic Optimization with Arbitrary Computation Dynamics. | Alexander Tyurin |
| 2025 | VL-Cache: Sparsity and Modality-Aware KV Cache Compression for Vision-Language Model Inference Acceleration. | Dezhan Tu, Danylo Vashchilenko, Yuzhe Lu, Panpan Xu |
| 2025 | Score-based Self-supervised MRI Denoising. | Jiachen Tu, Yaokun Shi, Fan Lam |
| 2025 | YOLO-RD: Introducing Relevant and Compact Explicit Knowledge to YOLO by Retriever-Dictionary. | Hao-Tang Tsui, Chien-Yao Wang, Hong-Yuan Mark Liao |
| 2025 | JetFormer: An autoregressive generative model of raw images and text. | Michael Tschannen, Andr Susano Pinto, Alexander Kolesnikov |
| 2025 | AnoLLM: Large Language Models for Tabular Anomaly Detection. | Che-Ping Tsai, Ganyu Teng, Phillip Wallis, Wei Ding |
| 2025 | AstroCompress: A benchmark dataset for multi-purpose compression of astronomical data. | Tuan Truong, Rithwik Sudharsan, Yibo Yang, Peter Xiangyuan Ma, Ruihan Yang, Stephan Mandt, Joshua S. Bloom |
| 2025 | Equivariant Neural Functional Networks for Transformers. | Hoang V. Tran, Thieu Vo, An Nguyen The, Tho Tran Huu, Minh-Khoi Nguyen-Nhat, Thanh Tran, Duy-Tung Pham, Tan Minh Nguyen |
| 2025 | Boosting Multiple Views for pretrained-based Continual Learning. | Quyen Tran, Tung Lam Tran, Khanh Doan, Toan Tran, Dinh Q. Phung, Khoat Than, Trung Le |
| 2025 | Privacy-Preserving Personalized Federated Prompt Learning for Multimodal Large Language Models. | Linh Tran, Wei Sun, Stacy Patterson, Ana L. Milanova |
| 2025 | Distance-Based Tree-Sliced Wasserstein Distance. | Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh T. Chu, Tam Le, Tan Minh Nguyen |
| 2025 | Spherical Tree-Sliced Wasserstein Distance. | Hoang V. Tran, Thanh T. Chu, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Tam Le, Tan Minh Nguyen |
| 2025 | Wayward Concepts In Multimodal Models. | Brandon Trabucco, Max Gurinas, Kyle Doherty, Russ Salakhutdinov |
| 2025 | OpenMathInstruct-2: Accelerating AI for Math with Massive Open-Source Instruction Data. | Shubham Toshniwal, Wei Du, Ivan Moshkov, Branislav Kisacanin, Alexan Ayrapetyan, Igor Gitman |
| 2025 | LLM-based Typed Hyperresolution for Commonsense Reasoning with Knowledge Bases. | Armin Toroghi, Ali Pesaranghader, Tanmana Sadhu, Scott Sanner |
926–950 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)