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Network Pruning
Network Pruning On Imagenet Resnet 50 90
Network Pruning On Imagenet Resnet 50 90
Metrics
Top-1 Accuracy
Results
Performance results of various models on this benchmark
Columns
Model Name
Top-1 Accuracy
Paper Title
Repository
Feather
76.93
Feather: An Elegant Solution to Effective DNN Sparsification
-
AC/DC
75.64
AC/DC: Alternating Compressed/DeCompressed Training of Deep Neural Networks
-
GMP
73.91
Soft Threshold Weight Reparameterization for Learnable Sparsity
-
CS
75.5
Winning the Lottery with Continuous Sparsification
-
ST-3
76.03
Are Straight-Through gradients and Soft-Thresholding all you need for Sparse Training?
-
ProbMask
74.68
Effective Sparsification of Neural Networks with Global Sparsity Constraint
-
STR
74.31
Soft Threshold Weight Reparameterization for Learnable Sparsity
-
DNW
74
Discovering Neural Wirings
-
Spartan
76.17
Spartan: Differentiable Sparsity via Regularized Transportation
-
0 of 9 row(s) selected.
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