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Related Questions
- What is domain shift in the context of machine learning, and how does it differ from concept drift?
- Can you provide an example of a real-world scenario where domain shift occurs, and how it affects model performance?
- How does domain shift relate to domain adaptation, and what are some common methods used to adapt models to new domains?
- What are the key differences between unsupervised domain adaptation and supervised domain adaptation, and which one is more challenging?
- Can you discuss the impact of domain shift on transfer learning, and how can it be mitigated?
- How do neural architecture search (NAS) and meta-learning address domain shift, and what are their limitations?
- What are some applications of domain adaptation in natural language processing (NLP) and computer vision, and what are their advantages and challenges?
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