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Benchmarks
Image Classification on CIFAR-100 (Model Pruning Evaluation)
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74.02
Base Accuracy
GReg-1
73.3128
73.4964
73.68
73.8636
Jan 30, 2023
Base Accuracy
Pruned Accuracy
Accuracy Drop
Speed Up Factor
Updated 3d ago
Evaluation Results
Method
Method
Links
Base Accuracy
Pruned Accuracy
Accuracy Drop
Speed Up Factor
GReg-1
Backbone=VGG-19
2023.01
74.02
67.55
-6.67
8.84
GReg-2
Backbone=VGG-19
2023.01
74.02
67.75
-6.27
8.84
DepGraph w/o SL
Backbone=VGG-19
2023.01
73.5
67.6
-5.44
8.87
DepGraph
Backbone=VGG-19
2023.01
73.5
70.39
-3.11
8.92
OBD
Backbone=VGG-19, Confi...
2023.01
73.34
60.7
-12.64
5.73
OBD
Backbone=VGG-19, Confi...
2023.01
73.34
60.66
-12.68
6.09
EigenD
Backbone=VGG-19
2023.01
73.34
65.18
-8.16
8.8
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