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Research map / Label-efficient and robust learning / Knowledge distillation

Improved Knowledge Distillation via Teacher Assistant

AAAI 2020 · Label-efficient and robust learning › Knowledge distillation · approach: Rethinking distillation objectives · 1,092 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Add a CNN-4 teacher assistant between CNN-10 and CNN-2CNN knowledge distillation · CIFAR-10top-1 test accuracy: 72.57 -> 73.51Helped
Add a CNN-4 teacher assistant between CNN-10 and CNN-2CNN knowledge distillation · CIFAR-100top-1 test accuracy: 44.57 -> 44.92Helped
Add a ResNet-20 teacher assistant between ResNet-110 and ResNet-8ResNet knowledge distillation · CIFAR-10top-1 test accuracy: 88.65 -> 88.98Helped
Add a ResNet-20 teacher assistant between ResNet-110 and ResNet-8ResNet knowledge distillation · CIFAR-100top-1 test accuracy: 61.41 -> 61.82Helped
Add a ResNet-20 teacher assistant between ResNet-50 and ResNet-14ResNet knowledge distillation · ImageNettop-1 test accuracy: 66.60 -> 67.36Helped
Use CNN-4 rather than CNN-8 as the teacher assistant (ablation)CNN TAKD · CIFAR-10top-1 test accuracy: 72.75 -> 73.51Helped
Use CNN-4 rather than CNN-8 as the teacher assistant (ablation)CNN TAKD · CIFAR-100top-1 test accuracy: 44.28 -> 44.92Helped
Use ResNet-14 rather than ResNet-56 as the teacher assistant (ablation)ResNet TAKD · CIFAR-10top-1 test accuracy: 88.70 -> 88.98Helped
Use ResNet-20 rather than ResNet-56 as the teacher assistant (ablation)ResNet TAKD · CIFAR-100top-1 test accuracy: 61.47 -> 61.82Helped
Train the teacher assistant by distillation rather than from scratch (ablation)CNN TAKD · CIFAR-100student accuracyHelped
Use a full path through available intermediate TAs rather than fewer-step paths (ablation)CNN TAKD · CIFAR-100student accuracyHelped

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