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Related Questions
- How does domain mismatch affect the generalizability of transfer learning models in real-world applications?
- Can you explain the concept of domain adaptation and its role in mitigating the effects of domain mismatch?
- What are the key challenges in adapting transfer learning models to new domains, and how can they be addressed?
- How does the choice of pre-training data impact the robustness of transfer learning models in the face of domain mismatch?
- Can you discuss the trade-offs between the degree of domain adaptation and the model's performance on the target task?
- What are some common techniques used to detect and mitigate domain mismatch in transfer learning models?
- How does the level of domain mismatch affect the interpretability of transfer learning models, and what implications does this have for model evaluation and deployment?
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