Theoretical Guarantees of Transfer Learning

Understand

Transfer learning has been proven effective when within-target labeled data is scarce.

• A lot of works have developed successful algorithms and empirically observed positive transfer effect that improves target generalization error using source knowledge.
• However, theoretical analysis of transfer learning is more challenging due to the nature of the problem and thus is less studied.
• In this report, we do a survey of theoretical works in transfer learning and summarize key theoretical guarantees that prove the effectiveness of transfer learning.