Regularizing Neural Networks via Adversarial Model Perturbation

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Benchmark Model Rank Results
image-classification-on-cifar-10PyramidNet + AA (AMP)#56Percentage correct: 98.02
image-classification-on-cifar-10PreActResNet18 (AMP)#119Percentage correct: 96.03
image-classification-on-cifar-100PyramidNet + AA (AMP)#51Percentage correct: 86.64
image-classification-on-cifar-100PreActResNet18 (AMP)#131Percentage correct: 78.49
image-classification-on-svhnPyramidNet + AA (AMP)#7Percentage error: 1.35
image-classification-on-svhnPreActResNet18 (AMP)#27Percentage error: 2.30

Rank counts only results with a code link.