Methods based on class activation maps (CAM) provide a simple mechanism ...
Recent advances in vision-and-language modeling have seen the developmen...
We study the implicit regularization effects of deep learning in tensor
...
Dealing with incomplete information is a well studied problem in the con...
Attempts of studying implicit regularization associated to gradient desc...
This paper is an attempt to bridge the gap between deep learning and
gra...
We describe a novel cancer diagnostic method based on plasma denaturatio...
The trace regression model, a direct extension of the well-studied linea...
In neuroscience, understanding inter-individual differences has recently...
Recent work has focused on combining kernel methods and deep learning to...
Understanding how a learned black box works is of crucial interest for t...
Explainability and interpretability are two critical aspects of decision...
In the past few years, a lot of attention has been devoted to multimedia...
A lot of attention has been devoted to multimedia indexing over the past...