Out-of-Distribution Detection on FashionMNIST (In) vs MNIST (Out) (test)
0.9718AUROCLikelihood Ratio
Evaluation Results
| Method | Links | |
|---|---|---|
| Likelihood RatioFlow Model=ResFlow2026.02 | 0.9718 | |
| LIDFlow Model=ResFlow2026.02 | 0.951 | |
| lambda (Similarity-only)2026.02 | 0.9445 | |
| SPEM-noiseFlow Model=ResFlow, Feature Extractor=ResNet-152, Hyperparameter alpha=0.12026.02 | 0.9432 | |
| VaLLA 200Inducing points=2002026.06 | 0.933 | |
| LLA KFACApproximation type=Kronecker-factorized2026.06 | 0.932 | |
| VaLLA 100Inducing points=1002026.06 | 0.923 | |
| SPEMFlow Model=ResFlow, Feature Extractor=ResNet-152, Hyperparameter alpha=0.42026.02 | 0.9207 | |
| LLA DiagApproximation type=Diagonal2026.06 | 0.914 | |
| LLA*Layer restriction=Last-layer2026.06 | 0.882 | |
| ComplexityFlow Model=ResFlow2026.02 | 0.8811 | |
| LLA* KFACLayer restriction=Last-layer, Approximation type=Kronecker-factorized2026.06 | 0.88 | |
| LikelihoodFlow Model=ResFlow2026.02 | 0.8797 | |
| MAP2026.06 | 0.874 | |
| ELLANumber of random points=20002026.06 | 0.874 | |
| GMMFlow Model=ResFlow2026.02 | 0.8486 | |
| Typicality (sqrt(d))Flow Model=ResFlow2026.02 | 0.7914 | |
| Typicality (Entropy)Flow Model=ResFlow2026.02 | 0.7703 |