Structured Pruning on CIFAR-10 (test)
94.4Test AccuracyPCD
Evaluation results
| Method | Links | |
|---|---|---|
| PCDBackbone=ResNet-34, Target sparsity=Unpruned2026.06 | 94.4 | |
| PCDBackbone=MobileNetV2, Target sparsity=Unpruned2026.06 | 93.1 | |
| PCDBackbone=ResNet-34, Target sparsity=80%2026.06 | 93 | |
| PCDBackbone=ResNet-34, Target sparsity=85%2026.06 | 93 | |
| PCDBackbone=ResNet-34, Target sparsity=90%2026.06 | 93 | |
| PCDBackbone=ResNet-34, Target sparsity=95%2026.06 | 92 | |
| PCDBackbone=Inception, Target sparsity=Unpruned2026.06 | 91 | |
| PCDBackbone=MobileNetV2, Target sparsity=95%2026.06 | 88.2 | |
| PCDBackbone=Inception, Target sparsity=95%2026.06 | 86.2 | |
| PCDBackbone=Inception, Target sparsity=99%2026.06 | 78.4 | |
| PCDBackbone=ResNet-34, Target sparsity=99%2026.06 | 75.8 | |
| WSBackbone=ResNet-34, Target sparsity=99%2026.06 | 63.5 | |
| AuxiNashBackbone=ResNet-34, Target sparsity=99%2026.06 | 61.3 | |
| AuxiNashBackbone=Inception, Target sparsity=99%2026.06 | 56.3 | |
| CAGradBackbone=ResNet-34, Target sparsity=99%2026.06 | 53.8 | |
| PCGradBackbone=ResNet-34, Target sparsity=99%2026.06 | 51.2 | |
| FAMOBackbone=ResNet-34, Target sparsity=99%2026.06 | 23.8 | |
| PCDBackbone=MobileNetV2, Target sparsity=99%2026.06 | 18.3 | |
| WSBackbone=MobileNetV2, Target sparsity=99%2026.06 | 16.7 | |
| MGDABackbone=ResNet-34, Target sparsity=99%2026.06 | 10.2 |