Robust Out-of-Distribution Detection on Deep Probabilistic Generative Models.
Jaemoo ChoiChangyeon YoonJeongwoo BaeMyungjoo KangPublished in: CoRR (2021)
Keyphrases
- generative model
- probabilistic model
- posterior probability
- bayesian framework
- mixture model
- conditional random fields
- discriminative learning
- prior knowledge
- maximum entropy principle
- partial occlusion
- em algorithm
- topic models
- expectation maximization
- hidden variables
- object detection
- object categories
- latent dirichlet allocation
- deep belief networks
- generative process
- discriminative models
- bayesian networks
- generative and discriminative models
- semi supervised
- hidden markov models
- hierarchical hidden markov models