Self-trained Centroid Classifiers for Semi-supervised Cross-domain Few-shot Learning.
Hongyu WangEibe FrankBernhard PfahringerGeoffrey HolmesPublished in: CoLLAs (2023)
Keyphrases
- cross domain
- semi supervised
- learning algorithm
- cross domain learning
- labeled and unlabeled data
- active learning
- training set
- domain adaptation
- learning process
- supervised learning
- reinforcement learning
- learning tasks
- pairwise
- case study
- knowledge transfer
- transfer learning
- neural network
- co training
- test set
- text categorization
- unlabeled data
- semi supervised learning
- labeled data
- knowledge management
- software engineering
- support vector