DOI: Divergence-based Out-of-Distribution Indicators via Deep Generative Models.
Wenxiao ChenXiaohui NieMingliang LiDan PeiPublished in: CoRR (2021)
Keyphrases
- generative model
- probabilistic model
- discriminative models
- discriminative learning
- bayesian framework
- mixture model
- prior knowledge
- em algorithm
- deep belief networks
- hierarchical hidden markov models
- conditional random fields
- semi supervised
- random variables
- expectation maximization
- generative and discriminative models
- probability density function
- latent dirichlet allocation
- graphical models
- maximum entropy principle
- object categories
- hidden variables
- information extraction
- probability distribution