4 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.LG2023
On the Capacity Limits of Privileged ERM
Michal Sharoni, Sivan Sabato
We study the supervised learning paradigm called Learning Using Privileged Information, first suggested by Vapnik and Vashist (2009). In this paradigm, in addition to the examples…
math.NA2018★ 4 cited
Low-Cost Parameterizations of Deep Convolutional Neural Networks
Eran Treister, Lars Ruthotto, Michal Sharoni +2
Convolutional Neural Networks (CNNs) filter the input data using a series of spatial convolution operators with compactly supported stencils and point-wise nonlinearities. Commonly…