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Related Questions
- What is the primary goal of domain adaptation in machine learning?
- How does domain adaptation address the challenge of transferring knowledge across different domains?
- What are some common techniques used in domain adaptation to adapt models to new domains?
- Can you explain the concept of 'shift' in domain adaptation, and how it affects the performance of a model?
- How does domain adaptation differ from transfer learning, and what are the key differences between the two?
- What are some real-world applications of domain adaptation in areas such as natural language processing and computer vision?
- How can domain adaptation be used to improve the robustness of models to changes in distribution or environment?
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