Understanding Deep Generative Models with Generalized Empirical Likelihoods.
Suman V. RavuriMélanie ReyShakir MohamedMarc Peter DeisenrothPublished in: CVPR (2023)
Keyphrases
- generative model
- posterior probability
- probabilistic model
- likelihood function
- discriminative learning
- em algorithm
- discriminative models
- mixture model
- bayesian framework
- prior knowledge
- deep belief networks
- representational power
- object categories
- conditional random fields
- maximum entropy principle
- semi supervised
- hidden variables
- topic models
- deep learning
- maximum likelihood
- random variables
- hierarchical hidden markov models
- language model
- object parts
- expectation maximization
- unsupervised learning
- probability distribution
- machine learning
- discriminative methods
- discriminatively trained
- generative and discriminative models