3 citations · 5 across the 4 of their papers we have counts for
1 paper · 1 filter
Nathaniel Bottman, Y. Cooper, Antonio Lerario
What neural networks learn depends fundamentally on the geometry of the underlying loss function. We study how different regularizers affect the geometry of this function. One of t…