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Learning with Confident Examples: Rank Pruning for Robust Classification with Noisy Labels
4 May 2017
Curtis G. Northcutt
Tailin Wu
Isaac L. Chuang
NoLa
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Papers citing
"Learning with Confident Examples: Rank Pruning for Robust Classification with Noisy Labels"
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Multi-class Label Noise Learning via Loss Decomposition and Centroid Estimation
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Self-paced Resistance Learning against Overfitting on Noisy Labels
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Joint Negative and Positive Learning for Noisy Labels
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Confident Learning: Estimating Uncertainty in Dataset Labels
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(
1
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(1 + \varepsilon)
(
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ε
)
-class Classification: an Anomaly Detection Method for Highly Imbalanced or Incomplete Data Sets
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Are Anchor Points Really Indispensable in Label-Noise Learning?
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