Bayesian Deep Learning and a Probabilistic Perspective of Generalization.
Andrew Gordon WilsonPavel IzmailovPublished in: CoRR (2020)
Keyphrases
- deep learning
- bayesian networks
- posterior probability
- restricted boltzmann machine
- unsupervised learning
- machine learning
- unsupervised feature learning
- deep architectures
- probabilistic model
- mental models
- weakly supervised
- viewpoint
- higher order
- generative model
- maximum likelihood
- graphical models
- active learning
- natural language processing
- learning strategies
- supervised learning
- object recognition
- image segmentation
- feature selection
- computer vision
- information retrieval