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ResearchFormerly WizWand

Image Classification on CIFAR-10 (test) (Accuracy and FLOPs)

93.65Accuracy (%)PruneFuse
80.005283.547687.0990.6324Mar 27, 2026
Updated 7mo ago

Evaluation results

MethodLinks
PruneFuseBudget (b)=50%, Params=0.21 M, Pruning ratio (p)=0.5, Backbone=ResNet-56, Sampling Strategy=Least-Confidence2026.0393.653.67
PruneFuseBudget (b)=50%, Params=0.08 M, Pruning ratio (p)=0.7, Backbone=ResNet-56, Sampling Strategy=Least-Confidence2026.0393.41.32
PruneFuseBudget (b)=50%, Params=0.03 M, Pruning ratio (p)=0.8, Backbone=ResNet-56, Sampling Strategy=Least-Confidence2026.0393.320.58
PruneFuseBudget (b)=50%, Params=0.14 M, Pruning ratio (p)=0.6, Backbone=ResNet-56, Sampling Strategy=Least-Confidence2026.0393.082.35
Baseline (AL)Budget (b)=50%, Params=0.85 M, Backbone=ResNet-56, Sampling Strategy=Least-Confidence2026.039314.66
PruneFuseBudget (b)=40%, Params=0.21 M, Pruning ratio (p)=0.5, Backbone=ResNet-56, Sampling Strategy=Least-Confidence2026.0392.772.24
Baseline (AL)Budget (b)=40%, Params=0.85 M, Backbone=ResNet-56, Sampling Strategy=Least-Confidence2026.0392.248.94
PruneFuseBudget (b)=30%, Params=0.21 M, Pruning ratio (p)=0.5, Backbone=ResNet-56, Sampling Strategy=Least-Confidence2026.0391.441.16
Baseline (AL)Budget (b)=30%, Params=0.85 M, Backbone=ResNet-56, Sampling Strategy=Least-Confidence2026.0390.854.64
PruneFuseBudget (b)=20%, Params=0.21 M, Pruning ratio (p)=0.5, Backbone=ResNet-56, Sampling Strategy=Least-Confidence2026.0388.350.44
Baseline (AL)Budget (b)=20%, Params=0.85 M, Backbone=ResNet-56, Sampling Strategy=Least-Confidence2026.0387.741.76
PruneFuseBudget (b)=10%, Params=0.21 M, Pruning ratio (p)=0.5, Backbone=ResNet-56, Sampling Strategy=Least-Confidence2026.0380.920.08
Baseline (AL)Budget (b)=10%, Params=0.85 M, Backbone=ResNet-56, Sampling Strategy=Least-Confidence2026.0380.530.31