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Image Classification on Tiny ImageNet (test) with Model Efficiency Metrics
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4.28
Accuracy
Pruned MLP
2.4392
2.9171
3.395
3.8729
Mar 17, 2026
Accuracy
Parameter Reduction (%)
FLOPs Reduction (%)
Updated 1mo ago
Evaluation Results
Method
Method
Links
Accuracy
Parameter Reduction (%)
FLOPs Reduction (%)
Pruned MLP
Params=3,197,384, FLOP...
2026.03
4.28
0
29.519
Baseline MLP
Params=3,197,384, FLOP...
2026.03
3.24
0
0
DynamicMLP
Params=3,197,640, FLOP...
2026.03
2.97
0
80.088
Dropout MLP
Params=3,197,384, FLOP...
2026.03
2.51
0
0
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