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Related Questions
- What are the key differences between active learning and traditional supervised learning?
- How can human-in-the-loop approaches be used to select the most informative samples for labeling?
- What are some strategies for ensuring that the collected data is diverse and representative of the underlying population?
- Can you explain the concept of 'query by committee' in active learning and how it can be used to improve data collection?
- How can active learning be used to reduce the labeling effort required for large-scale datasets?
- What are some challenges associated with human-in-the-loop approaches, such as annotator bias and fatigue?
- How can active learning be used to collect data from underrepresented groups or populations?
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