The 17th Asian Conference on Machine Learning (ACML 2025) will take place between December 9th - 12th, 2025, in Taipei, Taiwan. The conference aims to provide a leading international forum for researchers in machine learning and related fields to share their new ideas, progress, and achievements.

The conference calls for high-quality, original research papers in the theory and practice of machine learning. The conference also solicits proposals focusing on frontier research, new ideas, and paradigms in machine learning. We encourage submissions from all parts of the world, not only confined to the Asia-Pacific region.

Topics of interest include but are not limited to:

General machine learning
Active learning
Bayesian machine learning
Clustering
Imitation Learning
Learning to Rank
Meta-Learning
Multi-objective learning
Multiple instance learning
Multi-task learning
Neuro-symbolic methods
Online learning
Optimization
Reinforcement learning
Relational learning
Self-supervised learning
Semi-supervised learning
Structured output learning
Supervised learning
Transfer learning
Unsupervised learning
Weakly-supervised learning
Learning with noisy labels
Other machine learning methodologies
Deep learning
Architectures
Deep reinforcement learning
Generative models
Multi-modality learning
Large-language models and other foundation models
Deep learning theory
Other topics in deep learning
Theory
Bandits
Computational learning theory
Game theory
Optimization
Statistical learning theory
Other theories
Datasets and reproducibility
Implementations, libraries
ML datasets and benchmarks
Other topics in reproducible ML research
Trustworthy machine learning
Accountability, explainability, transparency
Adversarial learning
Causality
Fairness
Privacy
Robustness
AutoML
Other topics in trustworthy ML
Learning in knowledge-intensive systems
Knowledge refinement and theory revision
Multi-strategy learning
Other systems
Applications
Bioinformatics
Biomedical informatics
Climate science
Collaborative filtering
Computer vision
Healthcare
Human activity recognition
Information retrieval
Natural language processing
Social good
Social networks
Web search
ML for science
Other applications