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Related Questions
- How does domain adaptation enable a model to generalize better to new tasks?
- What are the key challenges in adapting a model to a new domain, and how can domain adaptation address them?
- Can you explain the concept of domain shift and its impact on model performance in new tasks?
- How does transfer learning with domain adaptation compare to fine-tuning a model on a new task?
- What are some common techniques used in domain adaptation for improving model adaptability?
- In what ways can domain adaptation help reduce the need for labeled data in new tasks?
- How does domain adaptation relate to the concept of cross-validation in machine learning?
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