Shake Drop regularization

PyTorch implementation of shake-drop regularization.

Dependencies

• python 3.5+
• PyTorch 1.0.0

Accuracy

CIFAR-100

Model	Method	Level	Alpha	Beta	This implementaion	Paper
PyramidNet	ShakeDrop	Batch	[-1, 1]	[0, 1]	83.90	83.78

Train PyramidNet(depth=110, alpha=270) with shake-drop for CIFAR-100

python train.py --epochs 300 --batch_size 128 --label 100 --lr 0.5 --depth 110 --alpha 270 --snapshot_interval 10

References

Yoshihiro Yamada, Masakazu Iwamura, Koichi Kise. "ShakeDrop regularization" ICLR2018 UnderReview

Yoshihiro Yamada, Masakazu Iwamura, Takuya Akiba, Koichi Kise. " ShakeDrop Regularization for Deep Residual Learning" arXiv:1802.02375v2

Author Torch Implementation https://github.com/imenurok/ShakeDrop