An active learning query design that presents a small conformal-prediction-based candidate class set to annotators cuts labeling cost by roughly half on standard image classification benchmarks.
Deep batch active learning by diverse, uncertain gradient lower bounds
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Enhancing Cost Efficiency in Active Learning with Candidate Set Query
An active learning query design that presents a small conformal-prediction-based candidate class set to annotators cuts labeling cost by roughly half on standard image classification benchmarks.