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

30 Mar 2018Amnon DroryOria RatzonShai AvidanRaja Giryes

We investigate the multi-class classification performance of K-Nearest Neighbors (K-NN) and Convolutional Neural Networks (CNNs) in the presence of label noise. We first show empirically that a CNN's prediction for a given test sample depends on the labels of the training samples in its local neighborhood... (read more)

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