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 | InsightBench: Evaluating Business Analytics Agents Through Multi-Step Insight Generation. | Gaurav Sahu, Abhay Puri, Juan A. Rodrguez, Amirhossein Abaskohi, Mohammad Chegini, Alexandre Drouin, Perouz Taslakian, Valentina Zantedeschi, Alexandre Lacoste, David Vzquez, Nicolas Chapados, Christopher Pal, Sai Rajeswar, Issam H. Laradji |
| 2025 | System 1.x: Learning to Balance Fast and Slow Planning with Language Models. | Swarnadeep Saha, Archiki Prasad, Justin Chih-Yao Chen, Peter Hase, Elias Stengel-Eskin, Mohit Bansal |
| 2025 | Finally Rank-Breaking Conquers MNL Bandits: Optimal and Efficient Algorithms for MNL Assortment. | Aadirupa Saha, Pierre Gaillard |
| 2025 | GSE: Group-wise Sparse and Explainable Adversarial Attacks. | Shpresim Sadiku, Moritz Wagner, Sebastian Pokutta |
| 2025 | MagicDec: Breaking the Latency-Throughput Tradeoff for Long Context Generation with Speculative Decoding. | Ranajoy Sadhukhan, Jian Chen, Zhuoming Chen, Vashisth Tiwari, Ruihang Lai, Jinyuan Shi, Ian En-Hsu Yen, Avner May, Tianqi Chen, Beidi Chen |
| 2025 | No Training, No Problem: Rethinking Classifier-Free Guidance for Diffusion Models. | Seyedmorteza Sadat, Manuel Kansy, Otmar Hilliges, Romann M. Weber |
| 2025 | Eliminating Oversaturation and Artifacts of High Guidance Scales in Diffusion Models. | Seyedmorteza Sadat, Otmar Hilliges, Romann M. Weber |
| 2025 | Exact Certification of (Graph) Neural Networks Against Label Poisoning. | Mahalakshmi Sabanayagam, Lukas Gosch, Stephan Gnnemann, Debarghya Ghoshdastidar |
| 2025 | DGQ: Distribution-Aware Group Quantization for Text-to-Image Diffusion Models. | Hyogon Ryu, NaHyeon Park, Hyunjung Shim |
| 2025 | Divide and Translate: Compositional First-Order Logic Translation and Verification for Complex Logical Reasoning. | Hyun Ryu, Gyeongman Kim, Hyemin S. Lee, Eunho Yang |
| 2025 | Optimizing Neural Network Representations of Boolean Networks. | Joshua Russell, Ignacio Gavier, Devdhar Patel, Edward A. Rietman, Hava T. Siegelmann |
| 2025 | Oscillatory State-Space Models. | T. Konstantin Rusch, Daniela Rus |
| 2025 | CapeX: Category-Agnostic Pose Estimation from Textual Point Explanation. | Matan Rusanovsky, Or Hirschorn, Shai Avidan |
| 2025 | On the Benefits of Memory for Modeling Time-Dependent PDEs. | Ricardo Buitrago Ruiz, Tanya Marwah, Albert Gu, Andrej Risteski |
| 2025 | Procedural Knowledge in Pretraining Drives Reasoning in Large Language Models. | Laura Ruis, Maximilian Mozes, Juhan Bae, Siddhartha Rao Kamalakara, Dwaraknath Gnaneshwar, Acyr Locatelli, Robert Kirk, Tim Rocktschel, Edward Grefenstette, Max Bartolo |
| 2025 | GNNs Getting ComFy: Community and Feature Similarity Guided Rewiring. | Celia Rubio-Madrigal, Adarsh Jamadandi, Rebekka Burkholz |
| 2025 | Robustness Auditing for Linear Regression: To Singularity and Beyond. | Ittai Rubinstein, Samuel B. Hopkins |
| 2025 | Conformal Language Model Reasoning with Coherent Factuality. | Maxon Rubin-Toles, Maya Gambhir, Keshav Ramji, Aaron Roth, Surbhi Goel |
| 2025 | TabReD: Analyzing Pitfalls and Filling the Gaps in Tabular Deep Learning Benchmarks. | Ivan Rubachev, Nikolay Kartashev, Yury Gorishniy, Artem Babenko |
| 2025 | Do LLMs have Consistent Values? | Naama Rozen, Liat Bezalel, Gal Elidan, Amir Globerson, Ella Daniel |
| 2025 | Clique Number Estimation via Differentiable Functions of Adjacency Matrix Permutations. | Indradyumna Roy, Eeshaan Jain, Soumen Chakrabarti, Abir De |
| 2025 | DCT-CryptoNets: Scaling Private Inference in the Frequency Domain. | Arjun Roy, Kaushik Roy |
| 2025 | On the Byzantine-Resilience of Distillation-Based Federated Learning. | Christophe Roux, Max Zimmer, Sebastian Pokutta |
| 2025 | RB-Modulation: Training-Free Stylization using Reference-Based Modulation. | Litu Rout, Yujia Chen, Nataniel Ruiz, Abhishek Kumar, Constantine Caramanis, Sanjay Shakkottai, Wen-Sheng Chu |
| 2025 | Semantic Image Inversion and Editing using Rectified Stochastic Differential Equations. | Litu Rout, Yujia Chen, Nataniel Ruiz, Constantine Caramanis, Sanjay Shakkottai, Wen-Sheng Chu |
1,276–1,300 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)