Peer Loss Functions: Learning from Noisy Labels without Knowing Noise Rates

Benchmark Model Rank Results
learning-with-noisy-labels-on-cifar-100nPeer Loss#16Accuracy (mean): 57.59
learning-with-noisy-labels-on-cifar-10nPeer Loss#18Accuracy (mean): 90.75
learning-with-noisy-labels-on-cifar-10n-1Peer Loss#18Accuracy (mean): 89.06
learning-with-noisy-labels-on-cifar-10n-2Peer Loss#16Accuracy (mean): 88.76
learning-with-noisy-labels-on-cifar-10n-3Peer Loss#16Accuracy (mean): 88.57
learning-with-noisy-labels-on-cifar-10n-worstPeer Loss#17Accuracy (mean): 82.53