Partial Label Supervision for Agnostic Generative Noisy Label Learning

Benchmark Model Rank Results
learning-with-noisy-labels-on-animalGNL#9Accuracy: 85.9Network: Vgg-19-BNImageNet Pretrained: NO
learning-with-noisy-labels-on-cifar-10nGNL#10Accuracy (mean): 92.57
learning-with-noisy-labels-on-cifar-10n-1GNL#8Accuracy (mean): 91.97
learning-with-noisy-labels-on-cifar-10n-2GNL#7Accuracy (mean): 91.42
learning-with-noisy-labels-on-cifar-10n-3GNL#6Accuracy (mean): 91.83
learning-with-noisy-labels-on-cifar-10n-worstGNL#9Accuracy (mean): 86.99