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 | Should VLMs be Pre-trained with Image Data? | Sedrick Keh, Jean Mercat, Samir Yitzhak Gadre, Kushal Arora, Igor Vasiljevic, Benjamin Burchfiel, Shuran Song, Russ Tedrake, Thomas Kollar, Ludwig Schmidt, Achal Dave |
| 2025 | Generation and Comprehension Hand-in-Hand: Vision-guided Expression Diffusion for Boosting Referring Expression Generation and Comprehension. | Jingcheng Ke, Jun-Cheng Chen, I-Hong Jhuo, Chia-Wen Lin, Yen-Yu Lin |
| 2025 | GPUDrive: Data-driven, multi-agent driving simulation at 1 million FPS. | Saman Kazemkhani, Aarav Pandya, Daphne Cornelisse, Brennan Shacklett, Eugene Vinitsky |
| 2025 | CPSample: Classifier Protected Sampling for Guarding Training Data During Diffusion. | Joshua Kazdan, Hao Sun, Jiaqi Han, Felix Petersen, Frederick Vu, Stefano Ermon |
| 2025 | Direct Distributional Optimization for Provable Alignment of Diffusion Models. | Ryotaro Kawata, Kazusato Oko, Atsushi Nitanda, Taiji Suzuki |
| 2025 | A Theoretical Framework for Partially-Observed Reward States in RLHF. | Chinmaya Kausik, Mirco Mutti, Aldo Pacchiano, Ambuj Tewari |
| 2025 | Surprising Effectiveness of pretraining Ternary Language Model at Scale. | Ayush Kaushal, Tejas Vaidhya, Arnab Kumar Mondal, Tejas Pandey, Aaryan Bhagat, Irina Rish |
| 2025 | Beyond Mere Token Analysis: A Hypergraph Metric Space Framework for Defending Against Socially Engineered LLM Attacks. | Manohar Kaul, Aditya Saibewar, Sadbhavana Babar |
| 2025 | From Attention to Activation: Unraveling the Enigmas of Large Language Models. | Prannay Kaul, Chengcheng Ma, Ismail Elezi, Jiankang Deng |
| 2025 | Accelerating neural network training: An analysis of the AlgoPerf competition. | Priya Kasimbeg, Frank Schneider, Runa Eschenhagen, Juhan Bae, Chandramouli Shama Sastry, Mark Saroufim, Boyuan Feng, Less Wright, Edward Z. Yang, Zachary Nado, Sourabh Medapati, Philipp Hennig, Michael Rabbat, George E. Dahl |
| 2025 | Data Distillation for extrapolative protein design through exact preference optimization. | Mostafa Karimi, Sharmi Banerjee, Tommi S. Jaakkola, Bella Dubrov, Shang Shang, Ron Benson |
| 2025 | Exploring the Effectiveness of Object-Centric Representations in Visual Question Answering: Comparative Insights with Foundation Models. | Amir Mohammad Karimi-Mamaghan, Samuele Papa, Karl Henrik Johansson, Stefan Bauer, Andrea Dittadi |
| 2025 | Autonomous Evaluation of LLMs for Truth Maintenance and Reasoning Tasks. | Rushang Karia, Daniel Bramblett, Daksh Dobhal, Siddharth Srivastava |
| 2025 | ForecastBench: A Dynamic Benchmark of AI Forecasting Capabilities. | Ezra Karger, Houtan Bastani, Yueh-Han Chen, Zachary Jacobs, Danny Halawi, Fred Zhang, Philip Tetlock |
| 2025 | Diffusion Models as Cartoonists: The Curious Case of High Density Regions. | Rafal Karczewski, Markus Heinonen, Vikas Garg |
| 2025 | Oracle efficient truncated statistics. | Konstantinos Karatapanis, Vasilis Kontonis, Christos Tzamos |
| 2025 | Diffusion On Syntax Trees For Program Synthesis. | Shreyas Kapur, Erik Jenner, Stuart Russell |
| 2025 | SEBRA : Debiasing through Self-Guided Bias Ranking. | Adarsh Kappiyath, Abhra Chaudhuri, Ajay Kumar Jaiswal, Ziquan Liu, Yunpeng Li, Xiatian Zhu, Lu Yin |
| 2025 | From Tokens to Words: On the Inner Lexicon of LLMs. | Guy Kaplan, Matanel Oren, Yuval Reif, Roy Schwartz |
| 2025 | Bridging Compressed Image Latents and Multimodal Large Language Models. | Chia-Hao Kao, Cheng Chien, Yu-Jen Tseng, Yi-Hsin Chen, Alessandro Gnutti, Shao-Yuan Lo, Wen-Hsiao Peng, Riccardo Leonardi |
| 2025 | Linear Mode Connectivity in Differentiable Tree Ensembles. | Ryuichi Kanoh, Mahito Sugiyama |
| 2025 | LevAttention: Time, Space and Streaming Efficient Algorithm for Heavy Attentions. | Ravindran Kannan, Chiranjib Bhattacharyya, Praneeth Kacham, David P. Woodruff |
| 2025 | FreSh: Frequency Shifting for Accelerated Neural Representation Learning. | Adam Kania, Marko Mihajlovic, Sergey Prokudin, Jacek Tabor, Przemyslaw Spurek |
| 2025 | AdvWave: Stealthy Adversarial Jailbreak Attack against Large Audio-Language Models. | Mintong Kang, Chejian Xu, Bo Li |
| 2025 | Advancing Prompt-Based Methods for Replay-Independent General Continual Learning. | Zhiqi Kang, Liyuan Wang, Xingxing Zhang, Karteek Alahari |
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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)