Flexible deep transfer learning by separate feature embeddings and manifold alignment.
Samuel RiveraJoel KlipfelDeborah WeeksPublished in: CoRR (2020)
Keyphrases
- manifold alignment
- transfer learning
- transfer knowledge
- learning tasks
- domain adaptation
- knowledge transfer
- active learning
- machine learning
- labeled data
- reinforcement learning
- latent space
- feature vectors
- collaborative filtering
- semi supervised learning
- target domain
- cross domain
- text categorization
- machine learning algorithms
- vector space
- multi task
- text classification
- high dimensional data
- manifold learning
- feature set
- dimensionality reduction
- text mining
- information extraction
- face recognition