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Interpreting Deep Neural Networks Through Variable Importance

Interpreting Deep Neural Networks Through Variable Importance

28 January 2019
J. Ish-Horowicz
Dana Udwin
Seth Flaxman
Sarah Filippi
Lorin Crawford
    FAtt
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Papers citing "Interpreting Deep Neural Networks Through Variable Importance"

1 / 1 papers shown
Title
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
287
9,156
0
06 Jun 2015
1