Bayesian Layers: A Module for Neural Network Uncertainty.
Dustin TranMike DusenberryMark van der WilkDanijar HafnerPublished in: NeurIPS (2019)
Keyphrases
- neural network
- multi layer
- decision theory
- dempster shafer
- single layer
- artificial neural networks
- back propagation
- neural network model
- bayesian inference
- uncertain data
- bayesian networks
- genetic algorithm
- neural network is trained
- inherent uncertainty
- bayesian learning
- expected utility
- fuzzy logic
- fault diagnosis
- incomplete information
- image reconstruction from projections
- neural nets
- artificial intelligence
- learning vector quantization
- uncertain information
- bayesian estimation
- data driven
- belief functions
- posterior distribution
- network model
- activation function
- fuzzy neural network
- training algorithm
- decision making
- auto associative
- feature selection
- posterior probability
- recurrent neural networks