Robust Training under Label Noise by Over-parameterization

Benchmark Model Rank Results
learning-with-noisy-labels-on-cifar-100nSOP+#5Accuracy (mean): 67.81
learning-with-noisy-labels-on-cifar-10nSOP+#4Accuracy (mean): 95.61
learning-with-noisy-labels-on-cifar-10n-1SOP+#4Accuracy (mean): 95.28
learning-with-noisy-labels-on-cifar-10n-2SOP#2Accuracy (mean): 95.31
learning-with-noisy-labels-on-cifar-10n-3SOP+#2Accuracy (mean): 95.39
learning-with-noisy-labels-on-cifar-10n-worstSOP+#5Accuracy (mean): 93.24