Alpha-divergence minimization with mixed variational posterior for Bayesian neural networks and its robustness against adversarial examples.
Xiao LiuShiliang SunPublished in: Neurocomputing (2021)
Keyphrases
- neural network
- posterior distribution
- posterior probability
- pattern recognition
- image segmentation
- fuzzy logic
- bayesian networks
- probability distribution
- bayesian inference
- recurrent neural networks
- genetic algorithm
- efficient optimization
- error function
- bayesian learning
- back propagation
- training examples
- maximum likelihood
- self organizing maps
- maximum a posteriori
- bayesian framework
- latent variables
- feed forward
- probabilistic model
- bayesian methods
- activation function
- artificial neural networks
- feedforward neural networks
- objective function
- image processing