Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels

Benchmark Model Rank Results
image-classification-on-clothing1mGCE#45Accuracy: 69.75%
learning-with-noisy-labels-on-cifar-100nGCE#20Accuracy (mean): 56.73
learning-with-noisy-labels-on-cifar-10nGCE#24Accuracy (mean): 87.85
learning-with-noisy-labels-on-cifar-10n-1GCE#21Accuracy (mean): 87.61
learning-with-noisy-labels-on-cifar-10n-2GCE#19Accuracy (mean): 87.70
learning-with-noisy-labels-on-cifar-10n-3GCE#19Accuracy (mean): 87.58
learning-with-noisy-labels-on-cifar-10n-worstGCE#19Accuracy (mean): 80.66