Out-of-Distribution Detection on EMNIST (test)
0.917AUROCRIEM-LA
Evaluation Results
| Method | Links | |
|---|---|---|
| RIEM-LAprior_precision_optimized=true, exponential_maps_subset=false, training_dataset=MNIST2023.06 | 0.917 | |
| LIN. RIEM-LAprior_precision_optimized=false, exponential_maps_subset=false, training_dataset=MNIST2023.06 | 0.905 | |
| LIN. RIEM-LAprior_precision_optimized=false, exponential_maps_subset=true, training_dataset=MNIST2023.06 | 0.901 | |
| RIEM-LAprior_precision_optimized=false, exponential_maps_subset=false, training_dataset=MNIST2023.06 | 0.9 | |
| RIEM-LAprior_precision_optimized=true, exponential_maps_subset=true, training_dataset=MNIST2023.06 | 0.899 | |
| LIN. LAprior_precision_optimized=false, exponential_maps_subset=false, training_dataset=MNIST2023.06 | 0.897 | |
| LIN. LAprior_precision_optimized=true, exponential_maps_subset=false, training_dataset=MNIST2023.06 | 0.888 | |
| LIN. RIEM-LAprior_precision_optimized=true, exponential_maps_subset=true, training_dataset=MNIST2023.06 | 0.888 | |
| RIEM-LAprior_precision_optimized=false, exponential_maps_subset=true, training_dataset=MNIST2023.06 | 0.872 | |
| LIN. RIEM-LAprior_precision_optimized=true, exponential_maps_subset=false, training_dataset=MNIST2023.06 | 0.871 | |
| MAPprior_precision_optimized=false, exponential_maps_subset=false, training_dataset=MNIST2023.06 | 0.851 | |
| MAPprior_precision_optimized=true, exponential_maps_subset=false, training_dataset=MNIST2023.06 | 0.851 | |
| VANILLA LAprior_precision_optimized=true, exponential_maps_subset=false, training_dataset=MNIST2023.06 | 0.768 | |
| VANILLA LAprior_precision_optimized=false, exponential_maps_subset=false, training_dataset=MNIST2023.06 | 0.49 |