Contrastive Learning Meets Transfer Learning: A Case Study In Medical Image Analysis.
Yuzhe LuAadarsh JhaYuankai HuoPublished in: CoRR (2021)
Keyphrases
- transfer learning
- learning tasks
- medical image analysis
- knowledge transfer
- active learning
- learning algorithm
- domain adaptation
- transfer knowledge
- reinforcement learning
- supervised learning
- medical images
- machine learning algorithms
- learning problems
- multi task
- multi task learning
- transferring knowledge
- image segmentation
- computer vision
- machine learning
- previously learned
- graph transduction