| image-classification-on-clothing1m | CORES2 | #30 | Accuracy: 73.24% |
| learning-with-noisy-labels-on-cifar-100n | CORES | #9 | Accuracy (mean): 61.15 |
| learning-with-noisy-labels-on-cifar-100n | CORES* | #21 | Accuracy (mean): 55.72 |
| learning-with-noisy-labels-on-cifar-10n | CORES* | #6 | Accuracy (mean): 95.25 |
| learning-with-noisy-labels-on-cifar-10n | CORES | #16 | Accuracy (mean): 91.23 |
| learning-with-noisy-labels-on-cifar-10n-1 | CORES* | #6 | Accuracy (mean): 94.45 |
| learning-with-noisy-labels-on-cifar-10n-1 | CORES | #17 | Accuracy (mean): 89.66 |
| learning-with-noisy-labels-on-cifar-10n-2 | CORES* | #4 | Accuracy (mean): 94.88 |
| learning-with-noisy-labels-on-cifar-10n-2 | CORES | #13 | Accuracy (mean): 89.91 |
| learning-with-noisy-labels-on-cifar-10n-3 | CORES* | #4 | Accuracy (mean): 94.74 |
| learning-with-noisy-labels-on-cifar-10n-3 | CORES | #13 | Accuracy (mean): 89.79 |
| learning-with-noisy-labels-on-cifar-10n-worst | CORES* | #7 | Accuracy (mean): 91.66 |
| learning-with-noisy-labels-on-cifar-10n-worst | CORES | #12 | Accuracy (mean): 83.60 |