Uncertainty-Aware Deep Classifiers Using Generative Models.
Murat SensoyLance M. KaplanFederico CeruttiMaryam SalekiPublished in: AAAI (2020)
Keyphrases
- generative model
- mixture model
- probabilistic model
- naive bayes models
- prior knowledge
- support vector
- hierarchical models
- training data
- em algorithm
- discriminative learning
- naive bayes
- deep belief networks
- maximum entropy principle
- decision trees
- semi supervised
- discriminative models
- machine learning algorithms
- object categories
- training set
- hierarchical hidden markov models
- feature selection
- conditional probabilities
- conditional random fields
- deep learning
- topic models
- training examples
- expectation maximization
- representational power
- bayesian networks
- maximum entropy
- probability distribution
- computer vision