Classification and Uncertainty Quantification on MNIST (test)
97.9AccuracyLLA* KFAC
Evaluation results
| Method | Links | |||||||
|---|---|---|---|---|---|---|---|---|
| LLA* KFAC2026.02 | 97.9 | 0.07 | 0.9 | 0.923 | 0.928 | 31.2 | 17.6 | |
| Ensemble2026.02 | 97.9 | 0.069 | 3.8 | 0.936 | 0.962 | — | 11.9 | |
| MAP (backbone)2026.02 | 97.8 | 0.068 | 0.5 | 0.919 | 0.919 | — | 1.24 | |
| LLA KFAC2026.02 | 97.8 | 0.102 | 4.2 | 0.971 | 0.971 | 130 | 2.85 | |
| LLA*2026.02 | 97.8 | 0.07 | 0.9 | 0.924 | 0.924 | 42 | 4.6 | |
| ELLA2026.02 | 97.8 | 0.068 | 0.5 | 0.919 | 0.912 | 821.8 | 148.7 | |
| VaLLAinducing points=1002026.02 | 97.8 | 0.068 | 0.5 | 0.919 | 0.934 | 2,190 | 16.4 | |
| VaLLAinducing points=2002026.02 | 97.8 | 0.068 | 0.5 | 0.919 | 0.934 | 3,430 | 18.3 | |
| GPP2026.02 | 97.8 | 1.648 | 78.4 | 0.934 | 0.904 | 5,790 | 23,500 | |
| Dropout2026.02 | 97.8 | 0.072 | 0.9 | 0.923 | 0.944 | — | 4.3 | |
| DDU (est.)2026.02 | 97.8 | 0.068 | 0.5 | 0.921 | 0.919 | 202.4 | 8.2 | |
| GAPA-Diag2026.02 | 97.8 | 0.073 | 1.6 | 0.963 | 0.976 | 91.9 | 2.05 | |
| GAPA-Full2026.02 | 97.8 | 0.072 | 1.3 | 0.969 | 0.983 | 96.1 | 8.92 | |
| Linear Probing2026.02 | 97.7 | 0.117 | 1.5 | 0.884 | 0.883 | 2,780 | 3.6 | |
| LLA Diag2026.02 | 97.6 | 0.177 | 10.5 | 0.932 | 0.941 | 2,340 | 2.39 |