CCF C类会议ACML已开放征稿! (附投稿交流群)

会议全称：Asian Conference on Machine Learning

录用率：2021年29.48%

CCF分级：人工智能C

截稿时间：2024/6/26

录用通知时间：2024/9/4

官网链接：The 16th Asian Conference on Machine Learning

征稿范围：

Topics of interest include but are not limited to:

• General machine learning methodologies

• Active learning

• Bayesian machine learning

• Dimensionality reduction

• Feature selection

• Graphical models

• Imitation Learning

• Latent variable models

• Learning for big data

• Learning from noisy supervision

• Learning in graphs

• Multi-objective learning

• Multiple instance learning

• Multi-task learning

• Neuro-symbolic methods

• Online learning

• Optimization

• Reinforcement learning

• Relational learning

• Semi-supervised learning

• Sparse learning

• Structured output learning

• Supervised learning

• Transfer learning

• Unsupervised learning

• Other machine learning methodologies

• Deep learning

• Architectures

• Attention mechanism and transformers

• Deep learning theory

• Deep reinforcement learning

• Generative models

• Supervised learning

• Other topics in deep learning

• Theory

• Bandits

• Computational learning theory

• Game theory

• Matrix/tensor methods

• 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

• Causality

• Fairness

• Privacy

• Robustness

• Other topics in trustworthy ML

• Learning in knowledge-intensive systems

• Knowledge refinement and theory revision

• Multi-strategy learning

• Other systems

• Applications

• Bioinformatics