Talks

Talk on contrastive/regularized methods for self-supervised learning including deep dive into the papers Barlow Twins and VICReg.

Talk on current credit assignment methods and how to use explanations to improve SOTA.

Lecture on Attention and Transformers for the Neural Networks course.

Talk on how to learn discrete representations as in VQ-VAE, dVAE, etc.

Organization and planning of the course