Transformer-like models for vision tasks have recently proven effective ...
Factored feature volumes offer a simple way to build more compact, effic...
In this paper, we contend that the objective of representation learning ...
Achieving invariance to nuisance transformations is a fundamental challe...
Data with low-dimensional nonlinear structure are ubiquitous in engineer...
We study the multiple manifold problem, a binary classification task mod...