ICASSP 2017accepted0 citations
Noisy objective functions based on the f-divergence
Markus Nußbaum-Thom, Ralf Schlüter, Vaibhava Goel, Hermann Ney
Abstract
Dropout, the random dropping out of activations according to a specified rate, is a very simple but effective method to avoid over-fitting of deep neural networks to the training data.
BibTeX
@inproceedings{icassp2017_noisyobjectivefu,
title = {Noisy objective functions based on the f-divergence},
author = {Markus Nußbaum-Thom and Ralf Schlüter and Vaibhava Goel and Hermann Ney},
booktitle = {ICASSP 2017},
year = {2017}
}