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Related Questions
- What are the key differences between uncertainty sampling and other active learning strategies?
- How can transfer learning help models adapt to new domains and reduce the need for large amounts of labeled data?
- What are some common techniques for handling domain shifts in transfer learning, and how can they be combined with uncertainty sampling?
- Can you explain the concept of 'domain adaptation' and how it relates to uncertainty sampling with transfer learning?
- How can uncertainty sampling be used to select the most informative samples for training a model on a new domain?
- What are some potential challenges and limitations of using uncertainty sampling with transfer learning for domain adaptation?
- How can the performance of models trained with uncertainty sampling and transfer learning be evaluated and compared to traditional methods?
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