Bayesian Deep Learning and a Probabilistic Perspective of Generalization.

Andrew Gordon Wilson Pavel Izmailov

Published in: NeurIPS (2020)

Keyphrases

deep learning
posterior probability
bayesian networks
unsupervised learning
restricted boltzmann machine

unsupervised feature learning
probabilistic model
machine learning
generative model
viewpoint

weakly supervised
maximum likelihood
mental models
pattern recognition

deep architectures
graphical models
partial occlusion
training data