Active Learning with Multiple Annotators

Weighted Uncertainty Sampling

Strategy that evaluates model uncertainty while weighting this measure by the cost and expertise required to resolve each sample. It prioritizes instances offering the best information/benefit ratio according to available annotator capabilities.

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