14 citations · 75 across the 28 of their papers we have counts for
Showing cs.CVShow all
2 papers · 1 filter
cs.CV2016★ 7 cited
The Loss Surface of Residual Networks: Ensembles and the Role of Batch Normalization
Etai Littwin, Lior Wolf
Deep Residual Networks present a premium in performance in comparison to conventional networks of the same depth and are trainable at extreme depths. It has recently been shown tha…
cs.CV2015
The Multiverse Loss for Robust Transfer Learning
Etai Littwin, Lior Wolf
Deep learning techniques are renowned for supporting effective transfer learning. However, as we demonstrate, the transferred representations support only a few modes of separation…