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Benchmarks
Classification on 10-task suite (LRA, Speech Commands, MNIST, CIFAR10)
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33
Avg Pruning Ratio
Uniform
24.68
26.84
29
31.16
Nov 5, 2024
Avg Pruning Ratio
Avg Pruning Ratio (Compressible Only)
Avg Accuracy Loss
Avg Accuracy Loss (Compressible Only)
Updated 1mo ago
Evaluation Results
Method
Method
Links
Avg Pruning Ratio
Avg Pruning Ratio (Compressible Only)
Avg Accuracy Loss
Avg Accuracy Loss (Compressible Only)
Uniform
Model=S5
2024.11
33
36.67
4.32
4.8
Global
Model=S5
2024.11
33
36.67
7.51
8.35
LAST
Model=S5
2024.11
33
36.67
0.52
0.58
Uniform
Model=S4D
2024.11
25
33.33
0.39
0.52
Global
Model=S4D
2024.11
25
33.33
1.16
1.55
LAST
Model=S4D
2024.11
25
33.33
0.32
0.42
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