SelfieBoost: A Boosting Algorithm for Deep Learning

نویسنده

  • Shai Shalev-Shwartz
چکیده

We describe and analyze a new boosting algorithm for deep learning called SelfieBoost. Unlike other boosting algorithms, like AdaBoost, which construct ensembles of classifiers, SelfieBoost boosts the accuracy of a single network. We prove a log(1/ ) convergence rate for SelfieBoost under some “SGD success” assumption which seems to hold in practice.

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عنوان ژورنال:
  • CoRR

دوره abs/1411.3436  شماره 

صفحات  -

تاریخ انتشار 2014