Image Classification on CIFAR10 standard (test) (Accuracy and NLL)
95.73AccuracyfSGLD
Evaluation results
| Method | Links | ||
|---|---|---|---|
| fSGLDBackbone=ResNet-182025.10 | 95.73 | 0.144 | |
| Entropy-MCMCBackbone=ResNet-182025.10 | 95.69 | 0.162 | |
| SGLDBackbone=ResNet-182025.10 | 95.47 | 0.167 | |
| ASAMBackbone=ResNet-182025.10 | 95.34 | 0.15 | |
| SAMBackbone=ResNet-182025.10 | 95.25 | 0.166 | |
| Entropy-SGDBackbone=ResNet-182025.10 | 95.11 | 0.184 | |
| SGDBackbone=ResNet-182025.10 | 94.87 | 0.205 | |
| Entropy-SGLDBackbone=ResNet-182025.10 | 94.46 | 0.194 |