Detecting Out-of-Distribution Inputs to Deep Generative Models Using a Test for Typicality.
Eric T. NalisnickAkihiro MatsukawaYee Whye TehBalaji LakshminarayananPublished in: CoRR (2019)
Keyphrases
- generative model
- probabilistic model
- mixture model
- discriminative learning
- discriminative models
- prior knowledge
- em algorithm
- hierarchical hidden markov models
- hidden variables
- expectation maximization
- generative and discriminative models
- conditional random fields
- deep belief networks
- semi supervised
- probability distribution
- maximum entropy principle
- natural images
- random variables
- similarity measure
- representational power
- feature selection