Adversarial Distillation of Bayesian Neural Network Posteriors.
Kuan-Chieh WangPaul VicolJames LucasLi GuRoger B. GrosseRichard S. ZemelPublished in: ICML (2018)
Keyphrases
- neural network
- posterior distribution
- bayesian inference
- posterior probability
- back propagation
- neural network model
- artificial neural networks
- pattern recognition
- genetic algorithm
- bayesian estimation
- probability distribution
- multi agent
- neural nets
- bayesian learning
- bayesian networks
- multi layer perceptron
- neural network is trained
- training algorithm
- network architecture
- multi layer
- hyperparameters
- data sets
- bayesian framework
- prior information
- feed forward neural networks
- data driven
- pixel wise
- markov networks
- neural model
- backpropagation neural network
- hybrid neural network
- bp neural network
- prediction model
- recurrent neural networks
- latent variables
- probability density function
- fault diagnosis
- parameter estimation
- generative model
- graphical models
- fuzzy logic
- support vector
- training data