The Transitive Information Theory and its Application to Deep Generative Models.
Trung Ngo TrongNajwa LaabidVille HautamäkiMerja HeinäniemiPublished in: CoRR (2022)
Keyphrases
- information theory
- generative model
- information theoretic
- probabilistic model
- discriminative models
- jensen shannon divergence
- discriminative learning
- mixture model
- statistical learning
- deep belief networks
- bayesian framework
- em algorithm
- hierarchical hidden markov models
- conditional random fields
- conditional entropy
- hidden variables
- mutual information
- semi supervised
- topic models
- object categories
- deep learning
- prior knowledge
- generative and discriminative models
- model selection
- expectation maximization
- graphical models
- pairwise
- computer vision