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Uncertainty Quantification and Resource-Demanding Computer Vision
  Applications of Deep Learning

Uncertainty Quantification and Resource-Demanding Computer Vision Applications of Deep Learning

30 May 2022
Julian Burghoff
Robin Shing Moon Chan
Hanno Gottschalk
Annika Muetze
Tobias Riedlinger
Matthias Rottmann
Marius Schubert
    BDL
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Papers citing "Uncertainty Quantification and Resource-Demanding Computer Vision Applications of Deep Learning"

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
252
9,134
0
06 Jun 2015
1