Introduction to Transfer Learning

Part I. Foundations of Transfer Learning.- Chapter 1. Introduction.- Chapter 2. From Machine Learning to Transfer Learning.- Chapter 3. Overview of Transfer Learning Algorithms.- Chapter 4. Instance Weighting Methods.- Chapter 5. Statistical Feature Transformation Methods.- Chapter 6. Geometrical Feature Transformation Methods.- Chapter 7. Theory, Evaluation, and Model Selection.- Part II. Modern Transfer Leaning.- Chapter 8. Pre-training and Fine-tuning.- Chapter 9. Deep Transfer Learning.- Chapter 10. Adversarial Transfer Learning.- Chapter 11. Generalization in Transfer Learning.- Chapter 12. Safe & Robust Transfer Learning.- Chapter 13. Transfer Learning in Complex Environments.- Chapter 14. Low-resource Learning.- Part III. Applications.- Chapter 15. Transfer Learning for Computer Vision.- Chapter 16. Transfer Learning for Natural language Processing.- Chapter 17. Transfer Learning for Speech Recognition.- Chapter 18. Transfer Learning for Activity Recognition.- Chapter 19. Federated Learning for Personalized Healthcare.- Chapter 20. Concluding Remarks.

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• Visão por computador
• Teoria matemática da computação
• Aprendizagem mecânica
• Linguagem natural e tradução mecânica

Transfer learning;Domain adaption;Domain generalization;Meta-learning;Transfer of learning;Knowledge transfer