Comparison of fine-tuning strategies for transfer learning in medical image classification.
Ana DavilaJacinto ColanYasuhisa HasegawaPublished in: CoRR (2024)
Keyphrases
- transfer learning
- fine tuning
- image classification
- learning tasks
- knowledge transfer
- labeled data
- cross domain
- collaborative filtering
- reinforcement learning
- fine tuned
- machine learning
- multi task learning
- transfer knowledge
- active learning
- manifold alignment
- multi task
- machine learning algorithms
- text categorization
- domain adaptation
- structure learning
- transferring knowledge
- semi supervised learning
- text mining
- feature extraction
- learning algorithm
- cross domain learning
- multitask learning
- unlabeled data
- text classification
- supervised learning
- semi supervised
- image features
- data analysis
- bayesian networks
- information retrieval
- neural network
- databases
- data sets