Out-of-distribution Detection on CelebA (test)
100AUROCOOD EBM
Evaluation Results
| Method | Links | |
|---|---|---|
| OOD EBMsupervised=true, fine-tuned=true2022.10 | 100 | |
| SADA-JEMScore Function=log p_theta(x), Training Dataset=CIFAR10, K=202022.09 | 95 | |
| Hat EBMsupervised=false2022.10 | 94 | |
| JEM++Score Function=max_y p_theta(y|x), Training Dataset=CIFAR10, M=202022.09 | 90 | |
| SADA-JEMScore Function=log p_theta(x), Training Dataset=CIFAR10, K=102022.09 | 88 | |
| SADA-JEMScore Function=max_y p_theta(y|x), Training Dataset=CIFAR10, K=202022.09 | 84 | |
| SADA-JEMScore Function=log p_theta(x), Training Dataset=CIFAR10, K=52022.09 | 82 | |
| SADA-JEMScore Function=max_y p_theta(y|x), Training Dataset=CIFAR10, K=52022.09 | 81 | |
| HDGETraining Protocol=Supervised2020.10 | 80 | |
| HDGEsupervised=true2022.10 | 80 | |
| JEM++Score Function=log p_theta(x), Training Dataset=CIFAR10, M=202022.09 | 80 | |
| JEMScore Function=max_y p_theta(y|x), Training Dataset=CIFAR10, K=202022.09 | 79 | |
| OOD EBMsupervised=true2022.10 | 78 | |
| WideResNetScore Function=log p_theta(x), Training Dataset=CIFAR102022.09 | 78 | |
| SADA-JEMScore Function=max_y p_theta(y|x), Training Dataset=CIFAR10, K=102022.09 | 78 | |
| VAEBMTraining Protocol=Unsupervised2020.10 | 77 | |
| BiDVLIn-distribution dataset=CIFAR-10, OOD score=Negative free energy2022.03 | 77 | |
| VAEBMsupervised=false2022.10 | 77 | |
| JEMsupervised=true2022.10 | 77 | |
| JEMTraining Protocol=Supervised2020.10 | 75 | |
| JEMIn-distribution dataset=CIFAR-10, OOD score=Negative free energy2022.03 | 75 | |
| JEMScore Function=log p_theta(x), Training Dataset=CIFAR10, K=202022.09 | 75 | |
| IGEBMTraining Protocol=Unsupervised2020.10 | 70 | |
| IGEBMIn-distribution dataset=CIFAR-10, OOD score=Negative free energy2022.03 | 70 | |
| IGEBMScore Function=log p_theta(x), Training Dataset=CIFAR102022.09 | 70 | |
| IGEBMsupervised=false2022.10 | 69 | |
| IGEBMScore Function=max_y p_theta(y|x), Training Dataset=CIFAR102022.09 | 69 | |
| NVAETraining Protocol=Unsupervised2020.10 | 68 | |
| WideResNetScore Function=max_y p_theta(y|x), Training Dataset=CIFAR102022.09 | 62 | |
| GlowTraining Protocol=Unsupervised2020.10 | 57 | |
| GlowIn-distribution dataset=CIFAR-10, OOD score=Negative free energy2022.03 | 57 | |
| Divergence TriangleTraining Protocol=Unsupervised2020.10 | 56 | |
| Divergence triangleIn-distribution dataset=CIFAR-10, OOD score=Negative free energy2022.03 | 56 | |
| SVAEIn-distribution dataset=CIFAR-10, OOD score=Negative free energy2022.03 | 52 | |
| VERAIn-distribution dataset=CIFAR-10, OOD score=Negative free energy2022.03 | 33 | |
| VERAScore Function=log p_theta(x), Training Dataset=CIFAR102022.09 | 33 |