LP-BNN (ours) + cutout

Reported on 2 benchmarks across 1 task · 1 paper

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

Computer Vision2 results

Image ClassificationonCIFAR-10
Percentage correct· 2020-12-04
95.02
best: 99.5 (ViT-H/14)
Encoding the latent posterior of Bayesian Neural Networks for uncertainty quantification arXiv:2012.02818
Image ClassificationonCIFAR-100
Percentage correct· uses extra data· 2020-12-04
76.85
best: 96.08 (EffNet-L2 (SAM))
Encoding the latent posterior of Bayesian Neural Networks for uncertainty quantification arXiv:2012.02818