| Benchmark | Model | Rank | Results |
|---|---|---|---|
| image-classification-on-cifar-10-with-noisy | C2D (ELR+ with SimCLR, ResNet-34) | #1 | Accuracy (under 20% Sym. label noise): 96.74 ± 0.12… |
| image-classification-on-cifar-10-with-noisy | C2D (DivideMix with SimCLR, ResNet-18) | #4 | Accuracy (under 20% Sym. label noise): 96.23 ± 0.09… |
| image-classification-on-clothing1m | ELR+ with C2D (ResNet-50) | #16 | Accuracy: 74.58 ± 0.15% |
| image-classification-on-mini-webvision-1-0 | DivideMix with C2D (ResNet-50) | #11 | Top-1 Accuracy: 79.42 ± 0.34Top-5 Accuracy: 92.32 ± 0.33… |