Uncertainty-Aware Deep Classifiers using Generative Models.

Murat Sensoy Lance M. Kaplan Federico Cerutti Maryam Saleki

Published 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