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Known Unknowns: Uncertainty Quality in Bayesian Neural Networks

Known Unknowns: Uncertainty Quality in Bayesian Neural Networks

5 December 2016
Ramon Oliveira
Pedro Tabacof
Eduardo Valle
    BDL
    UQCV
ArXivPDFHTML

Papers citing "Known Unknowns: Uncertainty Quality in Bayesian Neural Networks"

4 / 4 papers shown
Title
Uncertainty Quantification for Deep Neural Networks: An Empirical
  Comparison and Usage Guidelines
Uncertainty Quantification for Deep Neural Networks: An Empirical Comparison and Usage Guidelines
Michael Weiss
Paolo Tonella
BDL
UQCV
32
11
0
14 Dec 2022
DropoutDAgger: A Bayesian Approach to Safe Imitation Learning
DropoutDAgger: A Bayesian Approach to Safe Imitation Learning
Kunal Menda
Katherine Driggs-Campbell
Mykel J. Kochenderfer
32
28
0
18 Sep 2017
Bayesian Convolutional Neural Networks with Bernoulli Approximate
  Variational Inference
Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference
Y. Gal
Zoubin Ghahramani
UQCV
BDL
213
745
0
06 Jun 2015
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
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