The Utility of Feature Reuse: Transfer Learning in Data-Starved Regimes.
Edward VerenichAlvaro VelasquezM. G. Sarwar MurshedFaraz HussainPublished in: CoRR (2020)
Keyphrases
- transfer learning
- data sets
- learning tasks
- training data
- data analysis
- machine learning algorithms
- data points
- labeled data
- text classification
- previously learned
- label information
- data distribution
- unlabeled data
- semi supervised learning
- knowledge discovery
- data sources
- feature vectors
- data mining
- real world
- neural network