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SotA/Methodology/Network Pruning/ImageNet - ResNet 50 - 90% sparsity

Network Pruning on ImageNet - ResNet 50 - 90% sparsity

Metric: Top-1 Accuracy (higher is better)

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#Model↕Top-1 Accuracy▼AugmentationsPaperDate↕Code
1Feather76.93NoFeather: An Elegant Solution to Effective DNN Sp...2023-10-03Code
2Spartan76.17NoSpartan: Differentiable Sparsity via Regularized...2022-05-27Code
3ST-376.03NoAre Straight-Through gradients and Soft-Threshol...2022-12-02Code
4AC/DC75.64NoAC/DC: Alternating Compressed/DeCompressed Train...2021-06-23Code
5CS75.5NoWinning the Lottery with Continuous Sparsification2019-12-10Code
6ProbMask74.68NoEffective Sparsification of Neural Networks with...2021-05-03Code
7STR74.31NoSoft Threshold Weight Reparameterization for Lea...2020-02-08Code
8DNW74NoDiscovering Neural Wirings2019-06-03Code
9GMP73.91NoSoft Threshold Weight Reparameterization for Lea...2020-02-08Code