Uncertainty Quantification on CIFAR-10 (test)
93.5AccuracyMAP
Evaluation Results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| MAPBackbone=ResNet-322026.02 | 93.5 | 0.292 | 90.9 | — | — | |
| MF-VIBackbone=ResNet-322026.02 | 93.5 | 0.222 | 88.5 | 1.19 | 0.75 | |
| LLA DiagBackbone=ResNet-322026.02 | 93.5 | 0.242 | 88.2 | 29.4 | 0.69 | |
| Sampled LLABackbone=ResNet-322026.02 | 93.5 | 0.217 | 90.5 | — | — | |
| GAPABackbone=ResNet-322026.02 | 93.5 | 0.259 | 92.6 | 5.84 | 2.07 | |
| SNGPBackbone=ResNet-322026.02 | 93.2 | 0.256 | 89 | 25.5 | 2.1 | |
| VaLLABackbone=ResNet-322026.02 | 93.2 | 0.212 | 93.3 | — | 199 | |
| MF-VIBackbone=ResNet-202026.02 | 92.7 | 0.231 | 86.5 | 0.74 | 0.47 | |
| MAPBackbone=ResNet-202026.02 | 92.6 | 0.282 | 87.6 | — | — | |
| LLA DiagBackbone=ResNet-202026.02 | 92.6 | 0.26 | 86.6 | 18.4 | 0.43 | |
| GAPABackbone=ResNet-202026.02 | 92.6 | 0.258 | 90.7 | 3.65 | 1.3 | |
| Sampled LLABackbone=ResNet-202026.02 | 92.5 | 0.231 | 88.5 | — | — | |
| SNGPBackbone=ResNet-202026.02 | 92.4 | 0.266 | 87.5 | 15.9 | 1.31 | |
| VaLLABackbone=ResNet-202026.02 | 92.4 | 0.231 | 94 | — | 124 |