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Robustness to corruption in pre-trained Bayesian neural networks

Robustness to corruption in pre-trained Bayesian neural networks

24 June 2022
Xi Wang
Laurence Aitchison
    OOD
    UQCV
ArXivPDFHTML

Papers citing "Robustness to corruption in pre-trained Bayesian neural networks"

4 / 4 papers shown
Title
Tractable Function-Space Variational Inference in Bayesian Neural
  Networks
Tractable Function-Space Variational Inference in Bayesian Neural Networks
Tim G. J. Rudner
Zonghao Chen
Yee Whye Teh
Y. Gal
80
39
0
28 Dec 2023
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
270
5,660
0
05 Dec 2016
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
282
9,136
0
06 Jun 2015
MCMC using Hamiltonian dynamics
MCMC using Hamiltonian dynamics
Radford M. Neal
185
3,262
0
09 Jun 2012
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