Understanding transfer learning and gradient-based meta-learning techniques.
Mike HuismanAske PlaatJan N. van RijnPublished in: Mach. Learn. (2024)
Keyphrases
- meta learning
- transfer learning
- learning tasks
- machine learning algorithms
- machine learning
- labeled data
- cross domain
- active learning
- reinforcement learning
- inductive learning
- decision trees
- text categorization
- transfer knowledge
- learning algorithm
- target domain
- text classification
- collaborative filtering
- neural network
- semi supervised learning
- feature extraction
- kernel methods
- model selection
- text mining
- supervised learning