Understanding Failures in Out-of-Distribution Detection with Deep Generative Models.
Lily H. ZhangMark GoldsteinRajesh RanganathPublished in: ICML (2021)
Keyphrases
- generative model
- probabilistic model
- mixture model
- discriminative models
- discriminative learning
- em algorithm
- prior knowledge
- deep belief networks
- object detection
- object categories
- conditional random fields
- maximum entropy principle
- expectation maximization
- hidden variables
- deep learning
- machine learning
- generative process
- hierarchical hidden markov models
- semi supervised
- probability distribution
- computer vision