Fair Generative Models via Transfer Learning.
Christopher T. H. TeoMilad AbdollahzadehNgai-Man CheungPublished in: CoRR (2022)
Keyphrases
- transfer learning
- generative model
- labeled data
- learning tasks
- semi supervised
- probabilistic model
- discriminative models
- semi supervised learning
- knowledge transfer
- machine learning
- reinforcement learning
- structure learning
- transfer knowledge
- discriminative learning
- active learning
- prior knowledge
- em algorithm
- hierarchical bayesian model
- text classification
- text categorization
- cross domain
- multi task
- conditional random fields
- collaborative filtering
- unlabeled data
- topic models
- machine learning algorithms
- text mining
- cross lingual
- learning algorithm
- data mining
- language modeling
- natural language
- training data
- image segmentation
- data sets