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ResearchFormerly WizWand

Image Classification on CIFAR-10 Gaussian5 Noise (test)

50.47AccuracyPG-DRO
8.058819.069430.0841.0906Feb 1, 2026
Updated 8mo ago

Evaluation results

MethodLinks
PG-DROk=10, Backbone=ResNet-18, Pre-trained=CIFAR-1002026.0250.47
SAAk=10, Backbone=ResNet-18, Pre-trained=CIFAR-1002026.0250.17
W-DROk=10, Backbone=ResNet-18, Pre-trained=CIFAR-1002026.0249.73
PG-DROk=5, Backbone=ResNet-18, Pre-trained=CIFAR-1002026.0241.86
SAAk=5, Backbone=ResNet-18, Pre-trained=CIFAR-1002026.0239.48
W-DROk=5, Backbone=ResNet-18, Pre-trained=CIFAR-1002026.0239.45
Few-shotk=10, Backbone=ResNet-18, Pre-trained=CIFAR-1002026.0233.25
Few-shotk=5, Backbone=ResNet-18, Pre-trained=CIFAR-1002026.0225.48
PG-DROk=1, Backbone=ResNet-18, Pre-trained=CIFAR-1002026.0218.8
W-DROk=1, Backbone=ResNet-18, Pre-trained=CIFAR-1002026.0217.45
SAAk=1, Backbone=ResNet-18, Pre-trained=CIFAR-1002026.0217.11
Few-shotk=1, Backbone=ResNet-18, Pre-trained=CIFAR-1002026.029.69