International Conference on Machine Learning
ICML
A*
CORE rank
CORE rank (raw)
A*
Acceptance rate
27.5% (2024)
Fields of research
Machine Learning
Papers indexed
17,065
1988–2025
Papers per year
19883,341 peak2025
Most published authors
ICML papers
17,065 records sourced from DBLP. Search titles, filter by year, sort by recency.
| Year | Title | Authors |
|---|---|---|
| 2025 | CFPT: Empowering Time Series Forecasting through Cross-Frequency Interaction and Periodic-Aware Timestamp Modeling. | Feifei Kou, Jiahao Wang, Lei Shi, Yuhan Yao, Yawen Li, Suguo Zhu, Zhongbao Zhang, Junping Du |
| 2025 | Orthus: Autoregressive Interleaved Image-Text Generation with Modality-Specific Heads. | Siqi Kou, Jiachun Jin, Zhihong Liu, Chang Liu, Ye Ma, Jian Jia, Quan Chen, Peng Jiang, Zhijie Deng |
| 2025 | Sharp Optimality of Simple, Plug-in Estimation of the Fisher Information of a Smoothed Density. | Subhodh Kotekal |
| 2025 | Laplace Transform Based Low-Complexity Learning of Continuous Markov Semigroups. | Vladimir R. Kostic, Karim Lounici, Hlne Halconruy, Timothe Devergne, Pietro Novelli, Massimiliano Pontil |
| 2025 | Improved Sample Complexity for Private Nonsmooth Nonconvex Optimization. | Guy Kornowski, Daogao Liu, Kunal Talwar |
| 2025 | Phase transitions for the existence of unregularized M-estimators in single index models. | Takuya Koriyama, Pierre C. Bellec |
| 2025 | Identifiable Object Representations under Spatial Ambiguities. | Avinash Kori, Francesca Toni, Ben Glocker |
| 2025 | FlowDrag: 3D-aware Drag-based Image Editing with Mesh-guided Deformation Vector Flow Fields. | Gwanhyeong Koo, Sunjae Yoon, Younghwan Lee, Ji Woo Hong, Chang D. Yoo |
| 2025 | Enhancing Cooperative Multi-Agent Reinforcement Learning with State Modelling and Adversarial Exploration. | Andreas Kontogiannis, Konstantinos Papathanasiou, Yi Shen, Giorgos Stamou, Michael M. Zavlanos, George A. Vouros |
| 2025 | UniMoMo: Unified Generative Modeling of 3D Molecules for De Novo Binder Design. | Xiangzhe Kong, Zishen Zhang, Ziting Zhang, Rui Jiao, Jianzhu Ma, Wenbing Huang, Kai Liu, Yang Liu |
| 2025 | Latent Thought Models with Variational Bayes Inference-Time Computation. | Deqian Kong, Minglu Zhao, Dehong Xu, Bo Pang, Shu Wang, Edouardo Honig, Zhangzhang Si, Chuan Li, Jianwen Xie, Sirui Xie, Ying Nian Wu |
| 2025 | Mastering Massive Multi-Task Reinforcement Learning via Mixture-of-Expert Decision Transformer. | Yilun Kong, Guozheng Ma, Qi Zhao, Haoyu Wang, Li Shen, Xueqian Wang, Dacheng Tao |
| 2025 | Constrained Pareto Set Identification with Bandit Feedback. | Cyrille Kone, Emilie Kaufmann, Laura Richert |
| 2025 | Learning Minimum-Size BDDs: Towards Efficient Exact Algorithms. | Christian Komusiewicz, Andr Schidler, Frank Sommer, Manuel Sorge, Luca Pascal Staus |
| 2025 | NMA-tune: Generating Highly Designable and Dynamics Aware Protein Backbones. | Urszula Julia Komorowska, Francisco Vargas, Alessandro Rondina, Pietro Lio, Mateja Jamnik |
| 2025 | Certified Unlearning for Neural Networks. | Anastasia Koloskova, Youssef Allouah, Animesh Jha, Rachid Guerraoui, Sanmi Koyejo |
| 2025 | Feature-Mapping Topology Optimization with Neural Heaviside Signed Distance Functions. | Aleksandr Kolomeitsev, Anh Huy Phan |
| 2025 | A Cognac Shot To Forget Bad Memories: Corrective Unlearning for Graph Neural Networks. | Varshita Kolipaka, Akshit Sinha, Debangan Mishra, Sumit Kumar, Arvindh Arun, Shashwat Goel, Ponnurangam Kumaraguru |
| 2025 | Field Matching: an Electrostatic Paradigm to Generate and Transfer Data. | Alexander Kolesov, S. I. Manukhov, Vladimir Vladimirovich Palyulin, Alexander Korotin |
| 2025 | Rank-One Modified Value Iteration. | Arman Sharifi Kolarijani, Tolga Ok, Peyman Mohajerin Esfahani, Mohamad Amin Sharifi Kolarijani |
| 2025 | The Noisy Laplacian: a Threshold Phenomenon for Non-Linear Dimension Reduction. | Alex Kokot, Octavian-Vlad Murad, Marina Meila |
| 2025 | Exact Upper and Lower Bounds for the Output Distribution of Neural Networks with Random Inputs. | Andrey Kofnov, Daniel Kapla, Ezio Bartocci, Efstathia Bura |
| 2025 | Overestimation in LLM Evaluation: A Controlled Large-Scale Study on Data Contamination's Impact on Machine Translation. | Muhammed Yusuf Kocyigit, Eleftheria Briakou, Daniel Deutsch, Jiaming Luo, Colin Cherry, Markus Freitag |
| 2025 | DistiLLM-2: A Contrastive Approach Boosts the Distillation of LLMs. | Jongwoo Ko, Tianyi Chen, Sungnyun Kim, Tianyu Ding, Luming Liang, Ilya Zharkov, Se-Young Yun |
| 2025 | Gravity-Bench-v1: A Benchmark on Gravitational Physics Discovery for Agents. | Nolan Koblischke, Hyunseok Jang, Kristen Menou, Mohamad Ali-Dib |
1,851–1,875 of 17,065← PreviousNext →
Comparable venues
Other A*/A conferences filed under the same field of research.
- A*ICLRInternational Conference on Learning Representations
- 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)