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