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Related Questions
- What are the key challenges in adapting a machine learning model to a new domain?
- How do domain adaptation techniques address the issue of out-of-domain performance?
- Can you explain the concept of domain shift and its impact on model performance?
- What are some common techniques used in domain adaptation, such as adversarial training and multi-task learning?
- How do domain adaptation techniques handle the problem of limited labeled data in the target domain?
- Can you discuss the trade-off between adaptation and overfitting in domain adaptation?
- What are some applications of domain adaptation in real-world scenarios, such as text classification and image recognition?
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