Keynote speakers

Deep Learning on Supercomputers for Fundamental Science [virtual]

Machine Learning — A Paradigm Shift in Human Thought!?

Overcoming Dataset Bias in Deep Learning [virtual]

[intermediate/advanced] Deep Generative and Dynamical Models

[intermediate/advanced] Deep Learning: Applications in the Natural Sciences

[intermediate/advanced] Modern Machine Learning and Deep Learning through the Prism of Interpolation

[intermediate/advanced] Probability Divergences and Generative Models

[intermediate] Deep Generative Models

[intermediate/advanced] Natural Language Generation

[intermediate/advanced] Deep Learning on Graphs

[intermediate/advanced] Tools and Techniques of Reinforcement Learning to Overcome Bellman’s Curse of Dimensionality

[intermediate] Deep Learning and 3D Reasoning for 3D Scene Understanding

[intermediate/advanced] Model-based, Explainable, Semisupervised and Unsupervised Machine Learning for Dynamic Analytics in Computer Vision and Medical Image Analysis

[introductory/intermediate] Reinforcement Learning: Fundamentals, and Roadmaps for Successful Design

[intermediate/advanced] Multimodal Machine Learning

[introductory/intermediate] Explainable AI: Concepts, Methods and Applications

[introductory/intermediate] Mechanisms for Trustworthy AI in Medical Image Analysis and Healthcare

[introductory/intermediate] Deep Multimedia Processing

[introductory/intermediate] Learning a Representation of the Visual World with Neural Networks [virtual]

[introductory/intermediate] Deep Learning, Neural Networks and Kernel Machines

[intermediate/advanced] Deep Learning for Image/Video Restoration and Compression

[introductory/intermediate] Machine Learning for Physics and Chemistry

[introductory/intermediate] Differential Privacy and Certified Robustness for Deep Learning

[intermediate/advanced] Low Rank Tensor Methods in High Dimensional Data Analysis