Learning to Transfer Learn: Reinforcement Learning-Based Selection for Adaptive Transfer Learning.
Linchao ZhuSercan Ömer ArikYi YangTomas PfisterPublished in: ECCV (27) (2020)
Keyphrases
- transfer learning
- reinforcement learning
- transferring knowledge
- transfer knowledge
- learning tasks
- knowledge transfer
- previously learned
- active learning
- learning algorithm
- multi task learning
- reinforcement learning agents
- multi task
- solve complex tasks
- learning problems
- learning process
- cross domain
- domain adaptation
- machine learning
- structure learning
- text categorization
- multiple tasks
- labeled data
- text classification
- supervised learning
- state space
- cross domain learning
- manifold alignment
- prior knowledge
- multitask learning
- reinforcement learning algorithms
- learning agent
- collaborative filtering
- function approximation
- learning experience
- function approximators
- reinforcement learning methods
- semi supervised
- text mining
- pairwise
- machine learning algorithms