3.3k citations · 5.1k across the 18 of their papers we have counts for
Showing 2014 · stat.MLShow all
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stat.ML2014★ 13 cited
Self-informed neural network structure learning
David Warde-Farley, Andrew Rabinovich, Dragomir Anguelov
We study the problem of large scale, multi-label visual recognition with a large number of possible classes. We propose a method for augmenting a trained neural network classifier…
stat.ML2014★ 62 cited
An empirical analysis of dropout in piecewise linear networks
David Warde-Farley, Ian J. Goodfellow, Aaron Courville +1
The recently introduced dropout training criterion for neural networks has been the subject of much attention due to its simplicity and remarkable effectiveness as a regularizer, a…