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Bayesian Volumetric Autoregressive generative models for better semisupervised learning

Bayesian Volumetric Autoregressive generative models for better semisupervised learning

Guilherme Pombo
Robert J. Gray
Thomas Varsavsky
John Ashburner
P. Nachev
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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