Extended Variational Inference for Propagating Uncertainty in Convolutional Neural Networks.
Dimah DeraGhulam RasoolNidhal BouaynayaPublished in: MLSP (2019)
Keyphrases
- variational inference
- convolutional neural networks
- bayesian inference
- probabilistic model
- gaussian process
- probabilistic graphical models
- topic models
- variational methods
- mixture model
- posterior distribution
- latent dirichlet allocation
- closed form
- exponential family
- markov networks
- conditional probabilities
- approximate inference
- belief functions
- factor graphs
- semi supervised