General Machine Learning

Active Learning, Classification, Clustering, Learning Theory, Online Learning, Ranking, Regression, Semi-supervised and Unsupervised learning, Optimization, Sparsity, etc.

Reinforcement Learning

Bandits, Decision and Control, Exploration, Hierarchical RL, Markov Decision Processes, Multi-Agent RL, Navigation, Planning, etc.

Applications of Machine Learning

Audio and Speech Processing, Computational Biology, Computer Vision, Natural Language Processing, Robotics, Neuroscience, Physics, Social Good, etc.

Probabilistic Methods

Bayesian methods, Causal Inference, Gaussian Processes, Graphical Models, etc.

Deep Learning

Architectures, Generative Models, Optimization for Deep Networks, Recurrent Networks, etc.

Explainable Machine Learning

Explainability, Causality, Biased Data, Fairness, Robustness, etc.

Social Aspects of Machine Learning

AI/ML Ethics, AI/ML Safety, Causality, eXplainable AI, Responsible AI/ML, Biased Data, Fairness, Privacy, Robustness, and Safety, etc.

Technical Solutions and Machine Learning Resources

Architectures, Competitions, Data Sets, and Repositories, Distributed Machine Learning, Implementations, Software Toolkits, etc.

Machine Learning Stories

Interesting and insightful competitions, projects and start-up stories!