Distilled Gradual Pruning with Pruned Fine-tuning

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Benchmark Model Rank Results
image-classification-on-cifar-10DGPPF-ResNet18#169Percentage correct: 92.90
image-classification-on-imagenetDGPPF-ResNet50#924Top 1 Accuracy: 73.66%Number of params: 2.56MGFLOPs: 0.4
image-classification-on-imagenetDGPPF-MobileNetV2#976Top 1 Accuracy: 65.59%Number of params: 1.03MGFLOPs: 0.1
image-classification-on-imagenetDGPPF-ResNet18#977Top 1 Accuracy: 65.22Number of params: 1.15MGFLOPs: 0.2

Rank counts only results with a code link.