Fair Generative Models via Transfer Learning.
Christopher T. H. TeoMilad AbdollahzadehNgai-Man CheungPublished in: AAAI (2023)
Keyphrases
- transfer learning
- generative model
- discriminative models
- learning tasks
- semi supervised learning
- semi supervised
- probabilistic model
- labeled data
- knowledge transfer
- machine learning
- cross domain
- active learning
- em algorithm
- hierarchical bayesian model
- reinforcement learning
- prior knowledge
- structure learning
- text categorization
- machine learning algorithms
- discriminative learning
- topic models
- conditional random fields
- learning algorithm
- text classification
- transfer knowledge
- latent dirichlet allocation
- multi task
- unlabeled data
- collaborative filtering
- data mining
- expectation maximization
- supervised learning
- target domain
- data analysis
- restricted boltzmann machine
- maximum likelihood