Deep Variational Transfer: Transfer Learning through Semi-supervised Deep Generative Models.
Marouan BelhajPavlos ProtopapasWeiwei PanPublished in: CoRR (2018)
Keyphrases
- transfer learning
- semi supervised
- generative model
- labeled data
- semi supervised learning
- discriminative models
- unlabeled data
- active learning
- knowledge transfer
- learning tasks
- cross domain
- hierarchical bayesian model
- machine learning
- supervised learning
- deep belief networks
- multi task
- structure learning
- transfer knowledge
- conditional random fields
- pairwise
- discriminative learning
- labeled and unlabeled data
- deep learning
- probabilistic model
- reinforcement learning
- unsupervised learning
- prior knowledge
- co training
- learning algorithm
- cross domain learning
- text categorization
- restricted boltzmann machine
- collaborative filtering
- image segmentation
- target domain
- parameter learning
- unlabelled data
- transferring knowledge
- machine learning algorithms
- latent dirichlet allocation
- class labels
- training examples
- multi view
- text classification
- training data
- feature selection
- information retrieval