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
Biomedical informatics
Climate science
Collaborative filtering
Computer vision
COVID-19 related research
Healthcare
Human activity recognition
Information retrieval
Natural language processing
Social good
Social networks
Web search
Other applications