Introduction to Domain Adaptation

Hemanth Venkateswara, Sethuraman Panchanathan

Research output: Chapter in Book/Report/Conference proceedingChapter


This chapter provides a formal introduction to transfer learning. We define transfer learning and provide examples of different forms of transfer learning in machine learning including domain adaptation. We outline different forms of domain adaptation and derive it’s performance bounds. The final section presents a brief description of the chapters in the book.

Original languageEnglish (US)
Title of host publicationDomain Adaptation in Computer Vision with Deep Learning
PublisherSpringer International Publishing
Number of pages19
ISBN (Electronic)9783030455293
ISBN (Print)9783030455286
StatePublished - Jan 1 2020


  • Domain adaptation
  • Domain alignment
  • Domain discrepancy
  • Knowledge transfer
  • Transfer learning

ASJC Scopus subject areas

  • Computer Science(all)
  • Engineering(all)


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