Clusterability as an Alternative to Anchor Points When Learning with Noisy Labels

Benchmark Model Rank Results
image-classification-on-clothing1mHOC#25Accuracy: 73.39%
learning-with-noisy-labels-on-cifar-100nCAL#8Accuracy (mean): 61.73
learning-with-noisy-labels-on-cifar-10nCAL#12Accuracy (mean): 91.97
learning-with-noisy-labels-on-cifar-10n-1CAL#10Accuracy (mean): 90.93
learning-with-noisy-labels-on-cifar-10n-2CAL#9Accuracy (mean): 90.75
learning-with-noisy-labels-on-cifar-10n-3CAL#8Accuracy (mean): 90.74
learning-with-noisy-labels-on-cifar-10n-worstCAL#10Accuracy (mean): 85.36