Input complexity and out-of-distribution detection with likelihood-based generative models.
Joan SerràDavid ÁlvarezVicenç GómezOlga SlizovskaiaJosé F. NúñezJordi LuquePublished in: CoRR (2019)
Keyphrases
- generative model
- posterior probability
- representational power
- mixture model
- likelihood function
- probabilistic model
- discriminative learning
- prior knowledge
- em algorithm
- maximum likelihood
- hierarchical hidden markov models
- bayesian framework
- conditional random fields
- discriminative models
- semi supervised
- probability distribution
- object detection
- generative and discriminative models
- object categories
- random variables