On Memorization in Probabilistic Deep Generative Models.
Gerrit van den BurgChris WilliamsPublished in: NeurIPS (2021)
Keyphrases
- generative model
- probabilistic model
- posterior probability
- mixture model
- conditional random fields
- discriminative learning
- prior knowledge
- maximum entropy principle
- topic models
- em algorithm
- discriminative models
- expectation maximization
- semi supervised
- deep belief networks
- object categories
- generative and discriminative models
- latent dirichlet allocation
- hidden variables
- generative process
- data sets
- hierarchical hidden markov models
- active learning
- object recognition
- decision trees
- learning algorithm
- machine learning