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ResearchFormerly WizWand

Out-of-distribution Detection on SVHN (test)

0.99AUROCOOD EBM
0.01240.26620.520.7738Oct 1, 2020Sep 8, 2021Aug 17, 2022Jul 26, 2023Jul 3, 2024Jun 11, 2025May 20, 2026
Updated 5mo ago

Evaluation results

MethodLinks
OOD EBMsupervised=true, fine-tuned=true2022.100.99——
O-Langevin2022.100.9868——
SADA-JEMScore Function=log p_theta(x), Training Dataset=CIFAR10, K=202022.090.98——
Tempered SGLD2022.100.9763——
HDGETraining Protocol=Supervised2020.100.96——
HDGEsupervised=true2022.100.96——
SADA-JEMScore Function=max_y p_theta(y|x), Training Dataset=CIFAR10, K=202022.090.96——
Supervisedsupervision level=full2021.050.956——
SADA-JEMScore Function=log p_theta(x), Training Dataset=CIFAR10, K=102022.090.95——
O-SVGD2022.100.9469——
JEM++Score Function=max_y p_theta(y|x), Training Dataset=CIFAR10, M=202022.090.94——
SVGD2022.100.9355——
WideResNetScore Function=max_y p_theta(y|x), Training Dataset=CIFAR102022.090.93——
SADA-JEMScore Function=max_y p_theta(y|x), Training Dataset=CIFAR10, K=102022.090.93——
OpenMatchlabeled samples per class=100, supervision level=partial2021.050.93——
Hat EBMsupervised=false2022.100.92——
SADA-JEMScore Function=max_y p_theta(y|x), Training Dataset=CIFAR10, K=52022.090.92——
Improved CD EBMsupervised=false2022.100.91——
OOD EBMsupervised=true2022.100.91——
WideResNetScore Function=log p_theta(x), Training Dataset=CIFAR102022.090.91——
ImCDScore Function=log p_theta(x), Training Dataset=CIFAR102022.090.91——
SADA-JEMScore Function=log p_theta(x), Training Dataset=CIFAR10, K=52022.090.91——
SGLD2022.100.8941——
Deterministic controlScore=ODIN, Seeds=5-seed hard-delivery2026.050.8921——
JEMScore Function=max_y p_theta(y|x), Training Dataset=CIFAR10, K=202022.090.89——
Deterministic controlScore=Energy, Seeds=5-seed hard-delivery2026.050.889——
MultipassScore=ODIN, Seeds=5-seed hard-delivery2026.050.8871——
MultipassScore=Energy, Seeds=5-seed hard-delivery2026.050.8858——
SLSScore=ODIN, Seeds=5-seed hard-delivery2026.050.8812——
Deterministic controlScore=Pred. entropy, Seeds=5-seed hard-delivery2026.050.8793——
SLSScore=Energy, Seeds=5-seed hard-delivery2026.050.8788——
MTClabeled samples per class=100, supervision level=partial2021.050.876——
MultipassScore=Pred. entropy, Seeds=5-seed hard-delivery2026.050.8714——
SLSScore=Pred. entropy, Seeds=5-seed hard-delivery2026.050.866——
Soft labelsScore=ODIN, Seeds=10-seed2026.050.865——
Deterministic controlScore=MSP, Seeds=5-seed hard-delivery2026.050.8643——
Soft labelsScore=Energy, Seeds=10-seed2026.050.8634——
MultipassScore=MSP, Seeds=5-seed hard-delivery2026.050.8553——
Soft labelsScore=Pred. entropy, Seeds=10-seed2026.050.8527——
SLSScore=MSP, Seeds=5-seed hard-delivery2026.050.852——
JEM++Score Function=log p_theta(x), Training Dataset=CIFAR10, M=202022.090.85——
Deterministic controlScore=Logit margin, Seeds=5-seed hard-delivery2026.050.8419——
Soft labelsScore=MSP, Seeds=10-seed2026.050.8364——
Labeled Onlylabeled samples per class=100, supervision level=partial2021.050.836——
SLSScore=Logit margin, Seeds=5-seed hard-delivery2026.050.8326——
MultipassScore=Logit margin, Seeds=5-seed hard-delivery2026.050.8323——
VAEBMTraining Protocol=Unsupervised2020.100.83——
VERAIn-distribution dataset=CIFAR-10, OOD score=Negative free energy2022.030.83——
VAEBMsupervised=false2022.100.83——
VERAScore Function=log p_theta(x), Training Dataset=CIFAR102022.090.83——
Soft labelsScore=Logit margin, Seeds=10-seed2026.050.8112——
FixMatchlabeled samples per class=100, supervision level=partial2021.050.799——
Soft labelsScore=KNN, Seeds=10-seed2026.050.7974——
MultipassScore=KNN, Seeds=5-seed hard-delivery2026.050.7836——
Deterministic controlScore=KNN, Seeds=5-seed hard-delivery2026.050.7788——
SLSScore=KNN, Seeds=5-seed hard-delivery2026.050.7741——
BiDVLIn-distribution dataset=CIFAR-10, OOD score=Negative free energy2022.030.76——
Divergence TriangleTraining Protocol=Unsupervised2020.100.68——
Divergence triangleIn-distribution dataset=CIFAR-10, OOD score=Negative free energy2022.030.68——
JEMTraining Protocol=Supervised2020.100.67——
JEMIn-distribution dataset=CIFAR-10, OOD score=Negative free energy2022.030.67——
JEMsupervised=true2022.100.67——
JEMScore Function=log p_theta(x), Training Dataset=CIFAR10, K=202022.090.67——
IGEBMTraining Protocol=Unsupervised2020.100.63——
IGEBMIn-distribution dataset=CIFAR-10, OOD score=Negative free energy2022.030.63——
IGEBMScore Function=log p_theta(x), Training Dataset=CIFAR102022.090.63——
IGEBMsupervised=false2022.100.43——
IGEBMScore Function=max_y p_theta(y|x), Training Dataset=CIFAR102022.090.43——
NVAETraining Protocol=Unsupervised2020.100.42——
SVAEIn-distribution dataset=CIFAR-10, OOD score=Negative free energy2022.030.42——
GlowIn-distribution dataset=CIFAR-10, OOD score=Negative free energy2022.030.24——
GlowTraining Protocol=Unsupervised2020.100.05——
Input ComplexityModel class=Diffusion2023.12—0.9730.976
Input LikelihoodModel class=Diffusion2023.12—0.9740.97
Likelihood RegretModel class=Diffusion2023.12—0.8050.821
LMDModel class=Diffusion2023.12—0.9140.876
LMDModel class=Consistency2023.12—0.8320.792
MSMAModel class=Diffusion2023.12—0.9760.979
MSMAModel class=Consistency2023.12—0.9850.981
Projection RegretModel class=Consistency2023.12—0.9950.993