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WCP: Worst-Case Perturbations for Semi-Supervised Deep Learning

CVPR 2020 · Label-efficient and robust learning › Semi-supervised learning · approach: GAN-based semi-supervised learning · 49 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use worst-case additive and DropConnect perturbations13-layer semi-supervised classifier · CIFAR-10, 1,000–4,000 labelserror rate: 46.43±1.21 -> 17.62±1.52; 33.94±0.73 -> 11.93±0.39; 20.66±0.57 -> 9.72±0.31Helped
Use worst-case additive and DropConnect perturbations13-layer semi-supervised classifier · SVHN, 250–1,000 labelserror rate: 27.77±3.18 -> 4.29±0.10; 16.88±1.30 -> 3.75±0.11; 12.32±0.95 -> 3.58±0.186Helped
Add additive perturbation (ablation)WCP on CIFAR-10 · CIFAR-10, 4,000 labelserror rate: 10.15 -> 9.51Helped
Add DropConnect perturbation (ablation)WCP on CIFAR-10 · CIFAR-10, 4,000 labelserror rate: 9.85 -> 9.51Helped
Add entropy minimization (ablation)WCP on CIFAR-10 · CIFAR-10, 4,000 labelserror rate: 9.85 -> 9.51Helped
Move DropConnect from the second to the first layer of each block (ablation)WCP on CIFAR-10 · CIFAR-10, 4,000 labelserror rate: 9.51 -> 9.77Hurt
Move DropConnect from the second to the third layer of each block (ablation)WCP on CIFAR-10 · CIFAR-10, 4,000 labelserror rate: 9.51 -> 10.08Hurt
Set DropConnect ratio to 0.1 rather than 0.2 (ablation)WCP on CIFAR-10 · CIFAR-10, 4,000 labelserror rate: 9.51 -> 9.81Hurt
Set DropConnect ratio to 0.3 rather than 0.2 (ablation)WCP on CIFAR-10 · CIFAR-10, 4,000 labelserror rate: 9.51 -> 9.66Hurt
Set DropConnect ratio to 0.4 rather than 0.2 (ablation)WCP on CIFAR-10 · CIFAR-10, 4,000 labelserror rate: 9.51 -> 9.78Hurt
Set DropConnect ratio to 0.5 rather than 0.2 (ablation)WCP on CIFAR-10 · CIFAR-10, 4,000 labelserror rate: 9.51 -> 9.92Hurt
Set DropConnect ratio to 0.7 rather than 0.2 (ablation)WCP on CIFAR-10 · CIFAR-10, 4,000 labelserror rate: 9.51 -> 10.26Hurt

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