| image-classification-on-clothing1m | ELR+ | #13 | Accuracy: 74.81% |
| image-classification-on-mini-webvision-1-0 | ELR+ (Inception-ResNet-v2) | #21 | Top-1 Accuracy: 77.78Top-5 Accuracy: 91.68… |
| learning-with-noisy-labels-on-cifar-100n | ELR+ | #6 | Accuracy (mean): 66.72 |
| learning-with-noisy-labels-on-cifar-100n | ELR | #12 | Accuracy (mean): 58.94 |
| learning-with-noisy-labels-on-cifar-10n | ELR+ | #8 | Accuracy (mean): 94.83 |
| learning-with-noisy-labels-on-cifar-10n | ELR | #11 | Accuracy (mean): 92.38 |
| learning-with-noisy-labels-on-cifar-10n-1 | ELR+ | #7 | Accuracy (mean): 94.43 |
| learning-with-noisy-labels-on-cifar-10n-1 | ELR | #9 | Accuracy (mean): 91.46 |
| learning-with-noisy-labels-on-cifar-10n-2 | ELR+ | #5 | Accuracy (mean): 94.20 |
| learning-with-noisy-labels-on-cifar-10n-2 | ELR | #6 | Accuracy (mean): 91.61 |
| learning-with-noisy-labels-on-cifar-10n-3 | ELR+ | #5 | Accuracy (mean): 94.34 |
| learning-with-noisy-labels-on-cifar-10n-3 | ELR | #7 | Accuracy (mean): 91.41 |
| learning-with-noisy-labels-on-cifar-10n-worst | ELR+ | #8 | Accuracy (mean): 91.09 |
| learning-with-noisy-labels-on-cifar-10n-worst | ELR | #13 | Accuracy (mean): 83.58 |