Batch norm with entropic regularization turns deterministic autoencoders into generative models.
Amur GhoseAbdullah RashwanPascal PoupartPublished in: CoRR (2020)
Keyphrases
- generative model
- probabilistic model
- deep belief networks
- denoising
- hierarchical hidden markov models
- discriminative models
- mixture model
- prior knowledge
- discriminative learning
- generative and discriminative models
- em algorithm
- restricted boltzmann machine
- conditional random fields
- semi supervised
- object categories
- maximum entropy principle
- expectation maximization
- information extraction
- sparse coding
- hidden variables
- active learning
- deep learning
- image processing
- topic models
- hierarchical models
- machine learning
- unsupervised learning
- learning algorithm