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Related Questions
- What is the primary goal of human annotation in active learning, and how does it contribute to model improvement?
- How does human annotation facilitate transfer learning, and what are the benefits of this approach?
- Can you explain the concept of 'query by committee' in active learning, and how human annotation plays a role in this process?
- In what ways can human annotation be used to reduce the need for large datasets in machine learning?
- How does human annotation impact the generalizability of models, and what are the implications for real-world applications?
- What are some common challenges associated with human annotation in active learning and transfer learning, and how can they be addressed?
- Can you discuss the role of human annotation in improving model interpretability, and how it can be used to explain model decisions?
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