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Found 2 papers, 1 papers with code
Bidirectional Uncertainty-Based Active Learning for Open Set Annotation
In this paper, we attempt to query examples that are both likely from known classes and highly informative, and propose a \textit{Bidirectional Uncertainty-based Active Learning} (BUAL) framework.
Dirichlet-Based Prediction Calibration for Learning with Noisy Labels
Learning with noisy labels can significantly hinder the generalization performance of deep neural networks (DNNs).
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