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Related Questions
- How can active learning be used to reduce the need for large datasets and improve model performance?
- What are the key differences between active learning and human-in-the-loop methods, and how can they be applied to improve dataset quality?
- Can you provide examples of how active learning has been used to improve the fairness of datasets in real-world applications?
- What are some potential challenges and limitations of using active learning and human-in-the-loop methods, and how can they be addressed?
- How can active learning be used to identify and mitigate bias in datasets?
- What role can active learning play in improving the interpretability of machine learning models and their outputs?
- Can you discuss the importance of human evaluation and validation in active learning and human-in-the-loop methods?
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