Using ROC and Unlabeled Data for Increasing Low-Shot Transfer Learning Classification Accuracy.
Spiridon KasapisGeng ZhangJonathon M. SmerekaNickolas VlahopoulosPublished in: CoRR (2020)
Keyphrases
- transfer learning
- unlabeled data
- labeled data
- classification accuracy
- semi supervised learning
- training data
- semi supervised
- training set
- active learning
- text classification
- labeled examples
- knowledge transfer
- cross domain
- learning tasks
- supervised learning
- labeled training data
- text categorization
- co training
- domain adaptation
- target domain
- feature selection
- data points
- naive bayes
- training examples
- multi task
- learning algorithm
- data sets
- labeled and unlabeled data
- pairwise
- training and test data
- prior knowledge
- transfer knowledge
- source domain
- machine learning
- multi task learning
- class distribution
- unsupervised learning
- support vector
- reinforcement learning
- training samples
- natural language processing
- multi view learning