TBD
Personal reading. Mostly ML
Ethics
Dynamic reading group for GRL
To be continued
Paper and Theory discussion group for domains in Generative Modeling, likelihood-based or score-based both.
We also cover some parts of Computational Optimal Transport and Differential Geometry.
Meeting links are shared in the Github Discussion link given below. Group is open to all -- no gatekeeping.
But knowledge pre-requisites: Linear Algebra, Probabilistic Machine Learning and Information Theory
Only identified lab members will be accepted.
Focused on: Trends in Machine Learning, Computer Vision, Action Recognition, Pose Estimation, Domain Adaptation, Neural Architecture Search and Augmented Reality.
Other relevant topics: Image and Video Processing, Virtual Reality, Simulations, Computer Graphics.
All things quantum, from basic principles to practical applications using quantum computing
To keep track of papers we read in the CHIL group. Open to CHIL group members only with @uwaterloo email addresses.
This covers topics related to broader AI (Artificial Intelligence), including but not limited to Deep Learning, Machine Learning, Evolutionary Computation, Search, Algorithms, Complexity and others. This is inspired from "Boston Computation Club" and "London Computation Club"