A Generative Model for Sampling High-Performance and Diverse Weights for Neural Networks.
Lior DeutschErik NijkampYu YangPublished in: CoRR (2019)
Keyphrases
- generative model
- neural network
- markov chain monte carlo
- probabilistic model
- back propagation
- discriminative learning
- bayesian framework
- artificial neural networks
- em algorithm
- posterior probability
- latent dirichlet allocation
- discriminative models
- sampling algorithm
- random sampling
- fully bayesian
- parameter space
- monte carlo
- linear combination
- activation function
- topic models
- semi supervised
- prior knowledge
- generative and discriminative models
- feature selection