A simple probabilistic deep generative model for learning generalizable disentangled representations from grouped data.
Haruo HosoyaPublished in: CoRR (2018)
Keyphrases
- generative model
- prior knowledge
- learned models
- hidden variables
- probabilistic model
- feature representations
- data sets
- training data
- deep belief networks
- bayesian framework
- learning process
- probability distribution
- bayesian networks
- latent dirichlet allocation
- boltzmann machine
- discriminative learning
- labeled data
- semi supervised learning
- learning algorithm