Out-of-Distribution Detection on FashionMNIST (test)
0.917AUROCRIEM-LA
Evaluation results
| Method | Links | ||
|---|---|---|---|
| RIEM-LAprior_precision_optimized=true, exponential_maps_subset=false, training_dataset=MNIST2023.06 | 0.917 | — | |
| RIEM-LAprior_precision_optimized=false, exponential_maps_subset=false, training_dataset=MNIST2023.06 | 0.911 | — | |
| RIEM-LAprior_precision_optimized=true, exponential_maps_subset=true, training_dataset=MNIST2023.06 | 0.897 | — | |
| RIEM-LAprior_precision_optimized=false, exponential_maps_subset=true, training_dataset=MNIST2023.06 | 0.891 | — | |
| LIN. LAprior_precision_optimized=false, exponential_maps_subset=false, training_dataset=MNIST2023.06 | 0.876 | — | |
| LIN. RIEM-LAprior_precision_optimized=false, exponential_maps_subset=false, training_dataset=MNIST2023.06 | 0.873 | — | |
| LIN. RIEM-LAprior_precision_optimized=false, exponential_maps_subset=true, training_dataset=MNIST2023.06 | 0.862 | — | |
| LIN. LAprior_precision_optimized=true, exponential_maps_subset=false, training_dataset=MNIST2023.06 | 0.854 | — | |
| LIN. RIEM-LAprior_precision_optimized=true, exponential_maps_subset=true, training_dataset=MNIST2023.06 | 0.841 | — | |
| LIN. RIEM-LAprior_precision_optimized=true, exponential_maps_subset=false, training_dataset=MNIST2023.06 | 0.809 | — | |
| MAPprior_precision_optimized=false, exponential_maps_subset=false, training_dataset=MNIST2023.06 | 0.777 | — | |
| MAPprior_precision_optimized=true, exponential_maps_subset=false, training_dataset=MNIST2023.06 | 0.777 | — | |
| VANILLA LAprior_precision_optimized=true, exponential_maps_subset=false, training_dataset=MNIST2023.06 | 0.681 | — | |
| VANILLA LAprior_precision_optimized=false, exponential_maps_subset=false, training_dataset=MNIST2023.06 | 0.523 | — | |
| FSP-LAPLACEcontext points=KMNIST2024.07 | — | 99.4 | |
| FSP-LAPLACEcontext points=RND2024.07 | — | 79.7 | |
| FVIcontext points=KMNIST2024.07 | — | 97.5 | |
| FVIcontext points=RND2024.07 | — | 80.1 | |
| LAPLACE2024.07 | — | 92.5 | |
| MAP2024.07 | — | 79.4 | |
| SPARSE GP2024.07 | — | 93.8 |