Reducing the Computational Cost of Deep Generative Models with Binary Neural Networks.
Thomas BirdFriso H. KingmaDavid BarberPublished in: CoRR (2020)
Keyphrases
- generative model
- neural network
- probabilistic model
- mixture model
- discriminative learning
- deep belief networks
- back propagation
- discriminative models
- hierarchical hidden markov models
- em algorithm
- maximum entropy principle
- topic models
- prior knowledge
- conditional random fields
- artificial neural networks
- generative and discriminative models
- object categories
- semi supervised
- expectation maximization
- deep learning
- representational power
- discriminative methods
- information extraction
- bayesian networks