Learning across label confidence distributions using Filtered Transfer Learning.
Seyed Ali Madani TonekaboniAndrew E. BreretonZhaleh SafikhaniAndreas WindemuthBenjamin Haibe-KainsStephen MacKinnonPublished in: CoRR (2020)
Keyphrases
- transfer learning
- learning tasks
- learning algorithm
- reinforcement learning
- knowledge transfer
- transfer knowledge
- learning problems
- multi task learning
- active learning
- learning process
- supervised learning
- multi task
- labeled data
- sample selection bias
- data mining
- domain adaptation
- graph transduction
- unsupervised learning
- probability distribution
- multi label
- text classification
- cross domain
- collaborative filtering
- multitask learning
- training and test data
- training data
- machine learning
- transferring knowledge
- neural network