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 Learning to Defer: Handling Missing Expert Annotations and Controlling Workload Distribution. | Cuong C. Nguyen, Thanh-Toan Do, Gustavo Carneiro |
| 2025 | Statistical Advantages of Perturbing Cosine Router in Mixture of Experts. | Huy Nguyen, Pedram Akbarian, Huyen Trang Pham, Thien Trang Nguyen Vu, Shujian Zhang, Nhat Ho |
| 2025 | An Image is Worth More Than 16x16 Patches: Exploring Transformers on Individual Pixels. | Duy-Kien Nguyen, Mido Assran, Unnat Jain, Martin R. Oswald, Cees G. M. Snoek, Xinlei Chen |
| 2025 | Delta: Dense Efficient Long-Range 3D tracking for any video. | Tuan Duc Ngo, Peiye Zhuang, Evangelos Kalogerakis, Chuang Gan, Sergey Tulyakov, Hsin-Ying Lee, Chaoyang Wang |
| 2025 | CoMotion: Concurrent Multi-person 3D Motion. | Alejandro Newell, Peiyun Hu, Lahav Lipson, Stephan R. Richter, Vladlen Koltun |
| 2025 | Adversarial Search Engine Optimization for Large Language Models. | Fredrik Nestaas, Edoardo Debenedetti, Florian Tramr |
| 2025 | Efficient Biological Data Acquisition through Inference Set Design. | Ihor Neporozhnii, Julien Roy, Emmanuel Bengio, Jason S. Hartford |
| 2025 | Towards Interpreting Visual Information Processing in Vision-Language Models. | Clement Neo, Luke Ong, Philip Torr, Mor Geva, David Krueger, Fazl Barez |
| 2025 | Comparing noisy neural population dynamics using optimal transport distances. | Amin Nejatbakhsh, Victor Geadah, Alex H. Williams, David Lipshutz |
| 2025 | Hierarchical Autoregressive Transformers: Combining Byte- and Word-Level Processing for Robust, Adaptable Language Models. | Pit Neitemeier, Bjrn Deiseroth, Constantin Eichenberg, Lukas Balles |
| 2025 | Injective flows for star-like manifolds. | Marcello Massimo Negri, Jonathan Aellen, Volker Roth |
| 2025 | MorphoDiff: Cellular Morphology Painting with Diffusion Models. | Zeinab Navidi, Jun Ma, Esteban Miglietta, Le Liu, Anne E. Carpenter, Beth A. Cimini, Benjamin Haibe-Kains, Bo Wang |
| 2025 | Cross-Domain Off-Policy Evaluation and Learning for Contextual Bandits. | Yuta Natsubori, Masataka Ushiku, Yuta Saito |
| 2025 | Scalable Extraction of Training Data from Aligned, Production Language Models. | Milad Nasr, Javier Rando, Nicholas Carlini, Jonathan Hayase, Matthew Jagielski, A. Feder Cooper, Daphne Ippolito, Christopher A. Choquette-Choo, Florian Tramr, Katherine Lee |
| 2025 | The Last Iterate Advantage: Empirical Auditing and Principled Heuristic Analysis of Differentially Private SGD. | Milad Nasr, Thomas Steinke, Borja Balle, Christopher A. Choquette-Choo, Arun Ganesh, Matthew Jagielski, Jamie Hayes, Abhradeep Guha Thakurta, Adam Smith, Andreas Terzis |
| 2025 | Scaling Wearable Foundation Models. | Girish Narayanswamy, Xin Liu, Kumar Ayush, Yuzhe Yang, Xuhai Xu, Shun Liao, Jake Garrison, Shyam A. Tailor, Jacob E. Sunshine, Yun Liu, Tim Althoff, Shrikanth Narayanan, Pushmeet Kohli, Jiening Zhan, Mark Malhotra, Shwetak N. Patel, Samy Abdel-Ghaffar, Daniel McDuff |
| 2025 | Faster Cascades via Speculative Decoding. | Harikrishna Narasimhan, Wittawat Jitkrittum, Ankit Singh Rawat, Seungyeon Kim, Neha Gupta, Aditya Krishna Menon, Sanjiv Kumar |
| 2025 | Salvage: Shapley-distribution Approximation Learning Via Attribution Guided Exploration for Explainable Image Classification. | Mehdi Naouar, Hanne Raum, Jens Rahnfeld, Yannick Vogt, Joschka Boedecker, Gabriel Kalweit, Maria Kalweit |
| 2025 | OpenVid-1M: A Large-Scale High-Quality Dataset for Text-to-video Generation. | Kepan Nan, Rui Xie, Penghao Zhou, Tiehan Fan, Zhenheng Yang, Zhijie Chen, Xiang Li, Jian Yang, Ying Tai |
| 2025 | SG-I2V: Self-Guided Trajectory Control in Image-to-Video Generation. | Koichi Namekata, Sherwin Bahmani, Ziyi Wu, Yash Kant, Igor Gilitschenski, David B. Lindell |
| 2025 | Trajectory-Class-Aware Multi-Agent Reinforcement Learning. | Hyungho Na, Kwanghyeon Lee, Sumin Lee, Il-Chul Moon |
| 2025 | How Low Can You Go? Searching for the Intrinsic Dimensionality of Complex Networks using Metric Node Embeddings. | Nikolaos Nakis, Niels Raunkjr Holm, Andreas Lyhne Fiehn, Morten Mrup |
| 2025 | Drop-Upcycling: Training Sparse Mixture of Experts with Partial Re-initialization. | Taishi Nakamura, Takuya Akiba, Kazuki Fujii, Yusuke Oda, Rio Yokota, Jun Suzuki |
| 2025 | TULIP: Token-length Upgraded CLIP. | Ivona Najdenkoska, Mohammad Mahdi Derakhshani, Yuki M. Asano, Nanne van Noord, Marcel Worring, Cees G. M. Snoek |
| 2025 | Learning under Temporal Label Noise. | Sujay Nagaraj, Walter Gerych, Sana Tonekaboni, Anna Goldenberg, Berk Ustun, Thomas Hartvigsen |
1,576–1,600 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)