Deep active re-labeling allocates annotation budget to re-annotate noisy instances detected via active noise sampling, yielding more data-efficient and noise-resilient results than standard DAL.
Activelab: Active learning with re-labeling by multiple annotators,
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Deep Active Re-Labeling: Toward Noise-Resilient Annotation Efficiency
Deep active re-labeling allocates annotation budget to re-annotate noisy instances detected via active noise sampling, yielding more data-efficient and noise-resilient results than standard DAL.