Methods › General › Regularization › ShakeDrop
ShakeDrop
Introduced by Yoshihiro Yamada et al. in ShakeDrop Regularization for Deep Residual Learning
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
ShakeDrop regularization extends Shake-Shake regularization and can be applied not only to ResNeXt but also ResNet, WideResNet, and PyramidNet. The proposed ShakeDrop is given as
G(x) = x + (bₗ + α− bₗα)F(x), in train-fwd G(x) = x + (bₗ + β− bₗβ)F(x), in train-bwd G(x) = x + E[bₗ + α− bₗα]F(x), in test
where bₗ is a Bernoulli random variable with probability P(bₗ = 1) = E[bₗ ] = pₗ given by the linear decay rule in each layer, and α and β are independent uniform random variables in each element.
The most effective ranges of α and β were experimentally found to be different from those of Shake-Shake, and are α = 0, β∈[0, 1] and α∈[−1, 1], β∈[0, 1].
Papers archive 2025-07-28
3 shown of 3, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.
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Circumventing Outliers of AutoAugment with Knowledge Distillation 25 Mar 2020 · 1 repository · arXiv:2003.11342
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RandAugment: Practical automated data augmentation with a reduced search space 30 Sep 2019 · 19 repositories · arXiv:1909.13719Syntology ran 58 of 65 samples · 7 unverified · 17 pointer-only (licence)
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ShakeDrop Regularization for Deep Residual Learning 7 Feb 2018 · 5 repositories · arXiv:1802.02375Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
Tasks archive 2025-07-28
8 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.
| Task | Papers |
|---|---|
| Data Augmentation | 2 |
| Image Classification | 2 |
| image-classification | 2 |
| Domain Generalization | 1 |
| General Classification | 1 |
| Knowledge Distillation | 1 |
| Object Detection | 1 |
| object-detection | 1 |
Usage over time archive 2025-07-28
Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).
Categories archive 2025-07-28
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