The mechanisms behind the success of multi-view self-supervised learning...
Multiview Self-Supervised Learning (MSSL) is based on learning invarianc...
Image augmentations applied during training are crucial for the
generali...
Graph neural networks, a popular class of models effective in a wide ran...
The Invariant Risk Minimization (IRM) principle was first proposed by
Ar...
Gaussian processes (GPs) enable principled computation of model uncertai...
It is desirable, and often a necessity, for machine learning models to b...
We consider Bayesian classification with Gaussian processes (GPs) and de...