How does Disagreement Help Generalization against Label Corruption?

Benchmark Model Rank Results
learning-with-noisy-labels-on-cifar-100nCo-Teaching+#14Accuracy (mean): 57.88
learning-with-noisy-labels-on-cifar-10nCo-Teaching+#19Accuracy (mean): 90.61
learning-with-noisy-labels-on-cifar-10n-1Co-Teaching+#15Accuracy (mean): 89.70
learning-with-noisy-labels-on-cifar-10n-2Co-Teaching+#15Accuracy (mean): 89.47
learning-with-noisy-labels-on-cifar-10n-3Co-Teaching+#15Accuracy (mean): 89.54
learning-with-noisy-labels-on-cifar-10n-worstCo-Teaching+#15Accuracy (mean): 83.26