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Improving compute efficacy frontiers with SliceOut

Improving compute efficacy frontiers with SliceOut

21 July 2020
Pascal Notin
Aidan N. Gomez
Joanna Yoo
Y. Gal
ArXivPDFHTML

Papers citing "Improving compute efficacy frontiers with SliceOut"

2 / 2 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
249
9,134
0
06 Jun 2015
Improving neural networks by preventing co-adaptation of feature
  detectors
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
VLM
243
7,633
0
03 Jul 2012
1