HyperAI
HyperAI
Startseite
Neuigkeiten
Neueste Forschungsarbeiten
Tutorials
Datensätze
Wiki
SOTA
LLM-Modelle
GPU-Rangliste
Veranstaltungen
Suche
Über
Deutsch
HyperAI
HyperAI
Toggle sidebar
Seite durchsuchen…
⌘
K
Startseite
SOTA
Netzwerkpruning
Network Pruning On Imagenet Resnet 50 90
Network Pruning On Imagenet Resnet 50 90
Metriken
Top-1 Accuracy
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Columns
Modellname
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.
Previous
Next
Network Pruning On Imagenet Resnet 50 90 | SOTA | HyperAI