Bayesian Deep Learning and a Probabilistic Perspective of Generalization.
Andrew Gordon WilsonPavel IzmailovPublished 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