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Lp-spherical Sparse Learning

Controlling Sparsity of Neural Network with Weight Constrained on Unit Lp-Sphere.
For more information, please contact author by: williamli_pro@163.com

The corresponding paper is under review.

System Requirements

Operating systems: Windows or Linux
Dependencies: CUDA, CuDNN, Python (version >= 3.5) Pytorch (version >= 1.2) and corresponding torchvision

Demo

After installed all of the requirements, please run demo.py

Results

  • Procedures of LpSS

Procedures of LpSS

  • Weight distribution of a neuron with respect of p

Weight distribution of a neuron with respect of p

  • Summarization of test accuracy
Dataset nw Epochs s=0.5 s=0.8 s=0.9
UCI machine learning DNA 936195 40 0.9533 0.9233 0.9755
Mushroom 90562 20 1.0000 0.9890 0.7172
Climate 76738 20 0.9714 0.9643 0.9214
MNIST 170298 40 0.9957 0.9953 0.9946
Fashion-MNIST 267514 50 0.9443 0.9391 0.9329
CIFAR-10 1154074 250 0.9423 0.9383 0.9310
Tiny ImageNet 4644120 250 0.6377 0.6295 0.6042

License

Apache-2.0

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Training sparse neural network with Lp normalized weight

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