| image-classification-on-cifar-10-with-noisy | PGDF (ResNet-18) | #3 | Accuracy (under 20% Sym. label noise): 96.7%… |
| image-classification-on-clothing1m | PGDF | #8 | Accuracy: 75.19% |
| image-classification-on-mini-webvision-1-0 | PGDF (Inception-ResNet-v2) | #2 | Top-1 Accuracy: 81.47Top-5 Accuracy: 94.03… |
| learning-with-noisy-labels-on-cifar-100n | PGDF | #1 | Accuracy (mean): 74.08 |
| learning-with-noisy-labels-on-cifar-10n | PGDF | #3 | Accuracy (mean): 96.11 |
| learning-with-noisy-labels-on-cifar-10n-1 | PGDF | #3 | Accuracy (mean): 96.01 |
| learning-with-noisy-labels-on-cifar-10n-worst | PGDF | #3 | Accuracy (mean): 93.65 |