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SOTA
Network Pruning
Network Pruning On Imagenet Resnet 50 90
Network Pruning On Imagenet Resnet 50 90
Métriques
Top-1 Accuracy
Résultats
Résultats de performance de divers modèles sur ce benchmark
Columns
Nom du modèle
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
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