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