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Network Pruning Analysis on ImageNet-100
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0.154
Cross-axis rho(IX, I(T; Y))
ConvNeXt-T Pilot
0.1463
0.15015
0.154
0.15785
May 8, 2026
Cross-axis rho(IX, I(T; Y))
ARI (local, target)
rho(I(T; Y), RedT)
AUC Difference (Best local - Best target)
AUC Difference (Best local - Taylor)
AUC Difference (Best local - Magnitude)
Updated 23d ago
Evaluation Results
Method
Method
Links
Cross-axis rho(IX, I(T; Y))
ARI (local, target)
rho(I(T; Y), RedT)
AUC Difference (Best local - Best target)
AUC Difference (Best local - Taylor)
AUC Difference (Best local - Magnitude)
ConvNeXt-T Pilot
Backbone=ConvNeXt-T, N...
2026.05
0.154
0.108
0.995
0.107
0.006
0.179
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