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ResearchFormerly WizWand

Image Classification on CIFAR-10 Gaussian2 Noise (test)

60.34AccuracyPG-DRO
7.934421.539735.14548.7503Feb 1, 2026
Updated 8mo ago

Evaluation results

MethodLinks
PG-DROk=10, Backbone=ResNet-18, Pre-trained=CIFAR-1002026.0260.34
W-DROk=10, Backbone=ResNet-18, Pre-trained=CIFAR-1002026.0258.93
SAAk=10, Backbone=ResNet-18, Pre-trained=CIFAR-1002026.0258.37
Few-shotk=10, Backbone=ResNet-18, Pre-trained=CIFAR-1002026.0252.87
PG-DROk=5, Backbone=ResNet-18, Pre-trained=CIFAR-1002026.0251
W-DROk=5, Backbone=ResNet-18, Pre-trained=CIFAR-1002026.0249.77
SAAk=5, Backbone=ResNet-18, Pre-trained=CIFAR-1002026.0248.68
Few-shotk=5, Backbone=ResNet-18, Pre-trained=CIFAR-1002026.0241.95
PG-DROk=1, Backbone=ResNet-18, Pre-trained=CIFAR-1002026.0222.74
SAAk=1, Backbone=ResNet-18, Pre-trained=CIFAR-1002026.0217.8
W-DROk=1, Backbone=ResNet-18, Pre-trained=CIFAR-1002026.0217.48
Few-shotk=1, Backbone=ResNet-18, Pre-trained=CIFAR-1002026.029.95