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Related Questions
- What are some strategies for ensuring that active learning is representative of diverse perspectives and opinions?
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- What are some techniques for selecting and weighting samples in active learning to reduce bias?
- Can active learning be used to improve the fairness of machine learning models in real-world applications?
- How does active learning compare to traditional supervised learning in terms of data diversity and bias?
- What are some challenges in implementing active learning for improving data diversity and reducing bias?
- Can active learning be used to adapt to changing data distributions and reduce bias over time?
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