| image-classification-on-clothing1m-using | Forward | #2 | Accuracy: 80.27 |
| image-classification-on-mini-webvision-1-0 | F-Correction (Inception-ResNet-v2) | #33 | Top-1 Accuracy: 61.12Top-5 Accuracy: 82.68… |
| learning-with-noisy-labels-on-cifar-100n | Backward-T | #17 | Accuracy (mean): 57.14 |
| learning-with-noisy-labels-on-cifar-100n | Forward-T | #19 | Accuracy (mean): 57.01 |
| learning-with-noisy-labels-on-cifar-10n | Forward-T | #22 | Accuracy (mean): 88.24 |
| learning-with-noisy-labels-on-cifar-10n | Backward-T | #23 | Accuracy (mean): 88.13 |
| learning-with-noisy-labels-on-cifar-10n-1 | Backward-T | #22 | Accuracy (mean): 87.14 |
| learning-with-noisy-labels-on-cifar-10n-1 | Forward-T | #23 | Accuracy (mean): 86.88 |
| learning-with-noisy-labels-on-cifar-10n-2 | Backward-T | #20 | Accuracy (mean): 86.28 |
| learning-with-noisy-labels-on-cifar-10n-2 | Forward-T | #21 | Accuracy (mean): 86.14 |
| learning-with-noisy-labels-on-cifar-10n-3 | Forward-T | #20 | Accuracy (mean): 87.04 |
| learning-with-noisy-labels-on-cifar-10n-3 | Backward-T | #21 | Accuracy (mean): 86.86 |
| learning-with-noisy-labels-on-cifar-10n-worst | Forward-T | #22 | Accuracy (mean): 79.79 |
| learning-with-noisy-labels-on-cifar-10n-worst | Backward-T | #23 | Accuracy (mean): 77.61 |