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KD-Zero: Evolving Knowledge Distiller for Any Teacher-Student Pairs

NeurIPS 2023 · Label-efficient and robust learning › Knowledge distillation · approach: Distillation with causal and adaptive guidance · 17 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
use KD-Zero searched distiller instead of handcrafted KDResNet-20 (R110 teacher) · CIFAR-100top-1 accuracy: 70.67 -> 72.05Helped
use KD-Zero in cross-architecture pairs (ViT students, CNN teacher)DeiT-Ti · CIFAR-100top-1 accuracy: 73.25 -> 78.25Helped
use KD-Zero instead of KD on ImageNetResNet-18 · ImageNettop-1 accuracy: 70.66 -> 72.17Helped
use KD-Zero on detection studentsRetinaNet-R50 · COCO valAP: 37.4 -> 40.9Helped
use KD-Zero distillation on segmentationPSPNet-R18 · Cityscapes valmIoU: 72.55 -> 76.25Helped
use KD-Zero loss in place of default loss of Review (ablation)Review on ResNet-20 · CIFAR-100top-1 accuracy: 71.89 -> 72.27Helped
use KD-Zero loss with BYOT self-distillation (ablation)ResNet-20 · CIFAR-100top-1 accuracy: 70.37 -> 70.98Helped
reuse the searched distiller with stronger R32x4 teacher (ablation)KD-Zero on ResNet-20 · CIFAR-100top-1 accuracy: 72.05 (R110) -> 70.98 (R32x4)Mixed
evolutionary search instead of random search (ablation)KD-Zero distiller search · CIFAR-100 ResNet-20search qualityHelped
remove transform, weight factor or temperature factor search (ablation)KD-Zero · CIFAR-100 ResNet-20top-1 accuracyHurt
add sharpness and CKA gap objectives to cross-entropy in fitness (ablation)KD-Zero search · CIFAR-100evaluation qualityHelped

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