Provably End-to-end Label-Noise Learning without Anchor Points

Benchmark Model Rank Results
learning-with-noisy-labels-on-cifar-100nVolMinNet#15Accuracy (mean): 57.80
learning-with-noisy-labels-on-cifar-10nVolMinNet#20Accuracy (mean): 89.70
learning-with-noisy-labels-on-cifar-10n-1VolMinNet#20Accuracy (mean): 88.30
learning-with-noisy-labels-on-cifar-10n-2VolMinNet#17Accuracy (mean): 88.27
learning-with-noisy-labels-on-cifar-10n-3VolMinNet#17Accuracy (mean): 88.19
learning-with-noisy-labels-on-cifar-10n-worstVolMinNet#20Accuracy (mean): 80.53