Adversarial Distillation of Bayesian Neural Network Posteriors.
Kuan-Chieh WangPaul VicolJames LucasLi GuRoger B. GrosseRichard S. ZemelPublished in: CoRR (2018)
Keyphrases
- neural network
- posterior distribution
- bayesian inference
- posterior probability
- back propagation
- bayesian estimation
- artificial neural networks
- neural network model
- neural network is trained
- bayesian networks
- multi agent
- data driven
- fuzzy artmap
- bayesian learning
- recurrent neural networks
- multilayer perceptron
- maximum a posteriori
- fuzzy logic
- prior information
- fault diagnosis
- neural nets
- maximum likelihood
- hidden layer
- pattern recognition
- hopfield neural network
- feed forward
- feed forward neural networks
- network architecture
- associative memory
- self organizing maps
- genetic algorithm