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Related Questions
- What are the key challenges in adapting a pre-trained language model to a new domain?
- How can few-shot learning be used in conjunction with domain adaptation to improve model performance?
- What is the role of meta-learning in domain adaptation, and how does it differ from traditional machine learning approaches?
- Can you explain the difference between unsupervised and supervised domain adaptation, and when would each be used?
- How can domain adaptation be used to improve the robustness of models to out-of-distribution data?
- What are some common evaluation metrics used to measure the success of domain adaptation methods?
- Can you discuss the trade-offs between adaptation and overfitting in domain adaptation?
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