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Bayesian Volumetric Autoregressive generative models for better
  semisupervised learning

Bayesian Volumetric Autoregressive generative models for better semisupervised learning

26 July 2019
Guilherme Pombo
Robert J. Gray
Thomas Varsavsky
John Ashburner
P. Nachev
    GAN
    BDL
    MedIm
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Papers citing "Bayesian Volumetric Autoregressive generative models for better semisupervised learning"

2 / 2 papers shown
Title
Pixel Recurrent Neural Networks
Pixel Recurrent Neural Networks
Aaron van den Oord
Nal Kalchbrenner
Koray Kavukcuoglu
SSeg
GAN
275
2,553
0
25 Jan 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
287
9,167
0
06 Jun 2015
1