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Related Questions
- How do active learning techniques select the most informative samples for human annotators to label?
- What are some common biases that human annotators may introduce during the labeling process?
- Can active learning techniques be used to detect biases in the training data before they affect model performance?
- How can human annotators use active learning to identify and correct biases in labels?
- What are some strategies for reducing the impact of human bias on the labeling process?
- Can active learning techniques be used to improve the accuracy of biased labels?
- How can the performance of active learning techniques be evaluated in terms of bias reduction?
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