| Benchmark | Model | Rank | Results |
|---|---|---|---|
| learning-with-noisy-labels-on-cifar-10n-random3 | GNL | #6 | Accuracy (mean): 91.83 |
| learning-with-noisy-labels-on-cifar-10n-random2 | GNL | #7 | Accuracy (mean): 91.42 |
| learning-with-noisy-labels-on-cifar-10n-random1 | GNL | #8 | Accuracy (mean): 91.97 |
| learning-with-noisy-labels-on-animal | GNL | #9 | Accuracy: 85.9Network: Vgg-19-BNImageNet Pretrained: NO |
| learning-with-noisy-labels-on-cifar-10n-worst | GNL | #9 | Accuracy (mean): 86.99 |
| learning-with-noisy-labels-on-cifar-10n-aggregate | GNL | #10 | Accuracy (mean): 92.57 |