An Information-Theoretic Approach to Transferability in Task Transfer Learning.
Yajie BaoYang LiShao-Lun HuangLin ZhangLizhong ZhengAmir ZamirLeonidas J. GuibasPublished in: CoRR (2022)
Keyphrases
- transfer learning
- learning tasks
- knowledge transfer
- labeled data
- machine learning
- transfer knowledge
- cross domain
- structure learning
- multi task learning
- manifold alignment
- reinforcement learning
- text categorization
- semi supervised learning
- multi task
- active learning
- target domain
- domain adaptation
- unlabeled data
- collaborative filtering
- text classification
- machine learning algorithms
- text mining
- training and test data
- semi supervised
- learning algorithm
- transferring knowledge
- databases
- learning problems
- knn
- artificial intelligence
- real world