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Optimistic and Pessimistic Neural Networks for Scene and Object
  Recognition

Optimistic and Pessimistic Neural Networks for Scene and Object Recognition

26 September 2016
René Grzeszick
Sebastian Sudholt
G. Fink
    UQCV
ArXivPDFHTML

Papers citing "Optimistic and Pessimistic Neural Networks for Scene and Object Recognition"

2 / 2 papers shown
Title
Neuron Pruning for Compressing Deep Networks using Maxout Architectures
Neuron Pruning for Compressing Deep Networks using Maxout Architectures
Fernando Moya Rueda
René Grzeszick
G. Fink
CVBM
19
17
0
21 Jul 2017
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
285
9,136
0
06 Jun 2015
1