Input Complexity and Out-of-distribution Detection with Likelihood-based Generative Models.
Joan SerràDavid ÁlvarezVicenç GómezOlga SlizovskaiaJosé F. NúñezJordi LuquePublished in: ICLR (2020)
Keyphrases
- generative model
- posterior probability
- probabilistic model
- likelihood function
- mixture model
- em algorithm
- discriminative models
- representational power
- prior knowledge
- discriminative learning
- maximum likelihood
- bayesian framework
- hidden variables
- semi supervised
- object detection
- object categories
- conditional random fields
- topic models
- generative and discriminative models
- hierarchical hidden markov models
- probability distribution
- bayesian networks
- learning tasks
- higher order
- object recognition
- support vector
- information retrieval