Image Classification on CIFAR-10 40% noise fraction (val)
89Accuracy (Val)MentorNet
Evaluation Results
| Method | Links | |
|---|---|---|
| MentorNetBackbone=ResNet2017.12 | 89 | |
| AzadiBackbone=AlexNet2017.12 | 75 | |
| GoldbergerBackbone=ResNet2017.12 | 70 | |
| Reed HardBackbone=ResNet2017.12 | 62 | |
| Reed SoftBackbone=ResNet2017.12 | 61 |