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Learning with noisy labels

Learning with noisy labels means When we say "noisy labels," we mean that an adversary has intentionally messed up the labels, which would have come from a "clean" distribution otherwise. This setting can also be used to cast learning from only positive and unlabeled data.

Papers

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Showing 171–180 of 249 papers

TitleStatusHype
Communication-Efficient Robust Federated Learning with Noisy Labels—0
PENCIL: Deep Learning with Noisy Labels—0
Confidence Adaptive Regularization for Deep Learning with Noisy Labels—0
Confidence Scores Make Instance-dependent Label-noise Learning Possible—0
Cooperative Learning for Noisy Supervision—0
Co-variance: Tackling Noisy Labels with Sample Selection by Emphasizing High-variance Examples—0
Combining Self-Supervised and Supervised Learning with Noisy Labels—0
Deep learning with noisy labels: exploring techniques and remedies in medical image analysis—0
Deep learning with noisy labels in medical prediction problems: a scoping review—0
Deep Self-Learning From Noisy Labels—0
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