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Related Questions
- What are some common methods for detecting annotation drift in training datasets?
- How can active learning techniques be used to periodically re-annotate training datasets?
- What are some strategies for updating training datasets to account for changing data distributions?
- Can you explain the concept of incremental learning and how it can help combat annotation drift?
- What are some techniques for evaluating the effectiveness of periodic re-annotation of training datasets?
- How can transfer learning be used to adapt to changing data distributions in training datasets?
- What are some best practices for scheduling periodic re-annotation of training datasets to minimize disruption to models?
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