Pruning Accuracy Retention on CIFAR-100 (test)
0.774AUC (Accuracy Retention, FLOPs-based)CAP-QGW
Evaluation Results
| Method | Links | |
|---|---|---|
| CAP-QGWBackbone=ResNet-18, Axis=Local axis (replaceability), Pruning Protocol=Global-threshold pruning, Sparsity levels=102026.05 | 0.774 | |
| Composite-IXBackbone=ResNet-18, Axis=Local axis (replaceability), Pruning Protocol=Global-threshold pruning, Sparsity levels=102026.05 | 0.713 | |
| MagnitudeBackbone=VGG-16, Axis=Baselines, Pruning Protocol=Global-threshold pruning, Sparsity levels=102026.05 | 0.706 | |
| Composite-PIDBackbone=ResNet-18, Axis=Target axis (task-directed PID), Pruning Protocol=Global-threshold pruning, Sparsity levels=102026.05 | 0.694 | |
| Spectral-PID-RSBackbone=ResNet-18, Axis=Target axis (task-directed PID), Pruning Protocol=Global-threshold pruning, Sparsity levels=102026.05 | 0.675 | |
| Spectral-RSBackbone=ResNet-18, Axis=Local axis (replaceability), Pruning Protocol=Global-threshold pruning, Sparsity levels=102026.05 | 0.646 | |
| Best hybrid (fixed)Backbone=ResNet-18, Axis=Hybrid (allocation × ranking), Pruning Protocol=Global-threshold pruning, Sparsity levels=102026.05 | 0.637 | |
| Best hybrid (fixed)Backbone=VGG-16, Axis=Hybrid (allocation × ranking), Pruning Protocol=Global-threshold pruning, Sparsity levels=102026.05 | 0.632 | |
| CAP-QGWBackbone=VGG-16, Axis=Local axis (replaceability), Pruning Protocol=Global-threshold pruning, Sparsity levels=102026.05 | 0.611 | |
| TaylorBackbone=VGG-16, Axis=Baselines, Pruning Protocol=Global-threshold pruning, Sparsity levels=102026.05 | 0.6 | |
| Composite-IXBackbone=VGG-16, Axis=Local axis (replaceability), Pruning Protocol=Global-threshold pruning, Sparsity levels=102026.05 | 0.592 | |
| Composite-IXBackbone=MobileNetV2, Axis=Local axis (replaceability), Pruning Protocol=Global-threshold pruning, Sparsity levels=102026.05 | 0.564 | |
| Best hybrid (fixed)Backbone=MobileNetV2, Axis=Hybrid (allocation × ranking), Pruning Protocol=Global-threshold pruning, Sparsity levels=102026.05 | 0.562 | |
| Spectral-RSBackbone=VGG-16, Axis=Local axis (replaceability), Pruning Protocol=Global-threshold pruning, Sparsity levels=102026.05 | 0.561 | |
| CAP-QGWBackbone=MobileNetV2, Axis=Local axis (replaceability), Pruning Protocol=Global-threshold pruning, Sparsity levels=102026.05 | 0.55 | |
| Spectral-RSBackbone=MobileNetV2, Axis=Local axis (replaceability), Pruning Protocol=Global-threshold pruning, Sparsity levels=102026.05 | 0.55 | |
| Spectral-PID-RSBackbone=VGG-16, Axis=Target axis (task-directed PID), Pruning Protocol=Global-threshold pruning, Sparsity levels=102026.05 | 0.543 | |
| Composite-PIDBackbone=VGG-16, Axis=Target axis (task-directed PID), Pruning Protocol=Global-threshold pruning, Sparsity levels=102026.05 | 0.504 | |
| Spectral-PID-RSBackbone=MobileNetV2, Axis=Target axis (task-directed PID), Pruning Protocol=Global-threshold pruning, Sparsity levels=102026.05 | 0.464 | |
| Composite-PIDBackbone=MobileNetV2, Axis=Target axis (task-directed PID), Pruning Protocol=Global-threshold pruning, Sparsity levels=102026.05 | 0.457 | |
| MagnitudeBackbone=ResNet-18, Axis=Baselines, Pruning Protocol=Global-threshold pruning, Sparsity levels=102026.05 | 0.454 | |
| TaylorBackbone=MobileNetV2, Axis=Baselines, Pruning Protocol=Global-threshold pruning, Sparsity levels=102026.05 | 0.442 | |
| MagnitudeBackbone=MobileNetV2, Axis=Baselines, Pruning Protocol=Global-threshold pruning, Sparsity levels=102026.05 | 0.42 | |
| TaylorBackbone=ResNet-18, Axis=Baselines, Pruning Protocol=Global-threshold pruning, Sparsity levels=102026.05 | 0.402 |