The Resistance to Label Noise in K-NN and DNN Depends on its Concentration

We investigate the classification performance of K-nearest neighbors (K-NN) and deep neural networks (DNNs) in the presence of label noise. We first show empirically that a DNN's prediction for a given test example depends on the labels of the training examples in its local neighborhood. This m...

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Hauptverfasser:	Drory, Amnon, Ratzon, Oria, Avidan, Shai, Giryes, Raja
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Computer Vision and Pattern Recognition Computer Science - Learning Computer Science - Neural and Evolutionary Computing Statistics - Machine Learning
Online-Zugang:	Volltext bestellen
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