Active Learning with Multiple Annotators

Dynamic Sample Allocation

Adaptive process that assigns unlabeled samples to the most appropriate annotators in real-time, based on their current expertise and availability. This allocation optimizes the trade-off between annotation quality and temporal or monetary budget.

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