On Measuring Fairness in Generative Models.
Christopher T. H. TeoMilad AbdollahzadehNgai-Man CheungPublished in: NeurIPS (2023)
Keyphrases
- generative model
- probabilistic model
- mixture model
- em algorithm
- discriminative models
- discriminative learning
- hierarchical hidden markov models
- generative and discriminative models
- maximum entropy principle
- expectation maximization
- prior knowledge
- semi supervised
- data sets
- conditional random fields
- hidden variables
- object categories
- topic models
- representational power
- image processing
- computer vision
- conditional probabilities
- learning experience
- image classification
- multiscale
- bayesian networks
- discriminative methods