Feature Likelihood Score: Evaluating Generalization of Generative Models Using Samples.
Marco JiralerspongAvishek Joey BoseGauthier GidelPublished in: CoRR (2023)
Keyphrases
- generative model
- posterior probability
- probabilistic model
- discriminative learning
- mixture model
- em algorithm
- representational power
- maximum entropy principle
- discriminative models
- prior knowledge
- semi supervised
- conditional random fields
- hierarchical hidden markov models
- object categories
- maximum likelihood
- image features
- feature vectors
- training set
- generative and discriminative models
- training samples
- expectation maximization
- object recognition
- discriminative methods
- data sets