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Understanding Priors in Bayesian Neural Networks at the Unit Level

Understanding Priors in Bayesian Neural Networks at the Unit Level

11 October 2018
M. Vladimirova
Jakob Verbeek
Pablo Mesejo
Julyan Arbel
    BDL
    UQCV
ArXivPDFHTML

Papers citing "Understanding Priors in Bayesian Neural Networks at the Unit Level"

3 / 3 papers shown
Title
Prior choice affects ability of Bayesian neural networks to identify
  unknowns
Prior choice affects ability of Bayesian neural networks to identify unknowns
D. Silvestro
Tobias Andermann
UQCV
BDL
24
23
0
11 May 2020
Fiedler Regularization: Learning Neural Networks with Graph Sparsity
Fiedler Regularization: Learning Neural Networks with Graph Sparsity
Edric Tam
David B. Dunson
11
12
0
02 Mar 2020
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
9,167
0
06 Jun 2015
1