Book contents
- Frontmatter
- Contents
- Preface
- Part I Foundations of Transfer Learning
- 1 Introduction
- 2 Instance-Based Transfer Learning
- 3 Feature-Based Transfer Learning
- 4 Model-Based Transfer Learning
- 5 Relation-Based Transfer Learning
- 6 Heterogeneous Transfer Learning
- 7 Adversarial Transfer Learning
- 8 Transfer Learning in Reinforcement Learning
- 9 Multi-task Learning
- 10 Transfer Learning Theory
- 11 Transitive Transfer Learning
- 12 AutoTL: Learning to Transfer Automatically
- 13 Few-Shot Learning
- 14 Lifelong Machine Learning
- Part II Applications of Transfer Learning
- References
- Index
6 - Heterogeneous Transfer Learning
from Part I - Foundations of Transfer Learning
Published online by Cambridge University Press: 24 January 2020
- Frontmatter
- Contents
- Preface
- Part I Foundations of Transfer Learning
- 1 Introduction
- 2 Instance-Based Transfer Learning
- 3 Feature-Based Transfer Learning
- 4 Model-Based Transfer Learning
- 5 Relation-Based Transfer Learning
- 6 Heterogeneous Transfer Learning
- 7 Adversarial Transfer Learning
- 8 Transfer Learning in Reinforcement Learning
- 9 Multi-task Learning
- 10 Transfer Learning Theory
- 11 Transitive Transfer Learning
- 12 AutoTL: Learning to Transfer Automatically
- 13 Few-Shot Learning
- 14 Lifelong Machine Learning
- Part II Applications of Transfer Learning
- References
- Index
- Type
- Chapter
- Information
- Transfer Learning , pp. 68 - 92Publisher: Cambridge University PressPrint publication year: 2020