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Partial Network Cloning

CVPR 2023 · Label-efficient and robust learning › Domain adaptation and generalization · approach: Statistical transfer learning · 16 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use full PNC instead of Continual+KDLeNet5 · MNIST Avg.-Saccuracy: 91.7 -> 97.0Helped
Use full PNC instead of Continual+KDResNet-18 · CIFAR-10 Avg.-Saccuracy: 69.9 -> 95.0Helped
Use full PNC instead of Continual+KDResNet-50 · CIFAR-100 Avg.-Saccuracy: 66.7 -> 76.4Helped
Use full PNC instead of Continual+KDResNet-18 · Tiny-ImageNet Avg.-Saccuracy: 57.1 -> 62.8Helped
Add locality-based module localization (ablation)PNC · MNIST Avg.-Saccuracy: 94.0 -> 97.0Helped
Add adaptive insertion (ablation)PNC · MNIST Avg.-Saccuracy: 93.9 -> 97.0Helped
Add locality-based module localization (ablation)PNC · CIFAR-10 Avg.-Saccuracy: 91.7 -> 95.0Helped
Add adaptive insertion (ablation)PNC · CIFAR-10 Avg.-Saccuracy: 90.3 -> 95.0Helped
Add locality-based module localization (ablation)PNC · CIFAR-100 Avg.-Saccuracy: 71.9 -> 76.4Helped
Add adaptive insertion (ablation)PNC · CIFAR-100 Avg.-Saccuracy: 65.4 -> 76.4Helped
Add locality-based module localization (ablation)PNC · Tiny-ImageNet Avg.-Saccuracy: 63.4 -> 62.8Hurt
Add adaptive insertion (ablation)PNC · Tiny-ImageNet Avg.-Saccuracy: 61.2 -> 62.8Helped

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