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Related Questions
- What are some common causes of annotation drift in human-labeled datasets?
- How can data annotators be incentivized to maintain high-quality labeling over time?
- What are some strategies for detecting and addressing annotation drift in real-time data pipelines?
- Can active learning be used to mitigate the effects of annotation drift in human-labeled datasets?
- How do you handle the issue of annotator bias in human-labeled datasets, which can contribute to annotation drift?
- What role does data validation and quality control play in preventing annotation drift in human-labeled datasets?
- Are there any machine learning algorithms that can adapt to changing label distributions over time, helping to mitigate annotation drift?
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