Variational Learning of Bayesian Neural Networks via Bayesian Dark Knowledge.
Gehui ShenXi ChenZhi-Hong DengPublished in: IJCAI (2020)
Keyphrases
- neural network
- knowledge acquisition
- learning systems
- learning algorithm
- bayesian learning
- background knowledge
- learning process
- dirichlet process mixture models
- bayesian methods
- domain knowledge
- data mining techniques
- online learning
- reinforcement learning
- effective learning
- knowledge base
- prior knowledge
- knowledge representation
- optical flow
- pattern recognition
- acquire knowledge
- bayesian networks
- learning tasks
- learned knowledge
- neural nets
- knowledge transfer
- genetic algorithm
- knowledge level
- learning rules
- training data
- posterior probability
- learning styles
- maximum likelihood