Input Complexity (PixelCNN++)

Reported on 1 benchmark across 1 task · 1 paper

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Methodology1 result

Anomaly DetectiononUnlabeled CIFAR-10 vs CIFAR-100
AUROC· 2019-09-25
53.5
best: 96.7 (PsudoLabels ViT)
Input complexity and out-of-distribution detection with likelihood-based generative models arXiv:1909.11480