35 citations · 55 across the 2 of their papers we have counts for
3 papers
cs.CV2016★ 20 cited
Learning a Metric Embedding for Face Recognition using the Multibatch Method
Oren Tadmor, Yonatan Wexler, Tal Rosenwein +2
This work is motivated by the engineering task of achieving a near state-of-the-art face recognition on a minimal computing budget running on an embedded system. Our main technical…
cs.LG2016★ 35 cited
Minimizing the Maximal Loss: How and Why?
Shai Shalev-Shwartz, Yonatan Wexler
A commonly used learning rule is to approximately minimize the \emph{average} loss over the training set. Other learning algorithms, such as AdaBoost and hard-SVM, aim at minimizin…
cs.LG2011
ShareBoost: Efficient Multiclass Learning with Feature Sharing
Shai Shalev-Shwartz, Yonatan Wexler, Amnon Shashua
Multiclass prediction is the problem of classifying an object into a relevant target class. We consider the problem of learning a multiclass predictor that uses only few features,…