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Related Questions
- What are the key challenges in domain adaptation, and how do they impact model performance?
- How do domain adaptation techniques address the issue of distribution shift between source and target domains?
- Can you explain the difference between unsupervised and supervised domain adaptation, and when to use each?
- What are some common domain adaptation algorithms, such as transfer learning, multi-task learning, and adversarial training?
- How do domain adaptation techniques handle class imbalance and concept drift in the target domain?
- Can you discuss the role of feature selection and dimensionality reduction in domain adaptation?
- What are some real-world applications of domain adaptation in natural language processing, computer vision, and other areas of AI?
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