Learning Sparse Neural Networks through L0 regularization

Related tags

Pytorch Utilities L0_regularization
Overview

Example implementation of the L0 regularization method described at

Learning Sparse Neural Networks through L0 regularization, Christos Louizos, Max Welling & Diederik P. Kingma, https://openreview.net/pdf?id=BkdI3hgRZ

This code is provided as is and is not maintained / updated.

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Comments
  • [Question] On equation(26) in the paper

    [Question] On equation(26) in the paper

    Dear authors,

    Please have a look at third term in equation(26) in the paper. I don't think the normalization (Q(1)-Q(0)) should be included. Please check if I were wrong.

    Best, Tianjian

    opened by zhangtj1996 2
  • Cannot reproduce WRN experiments

    Cannot reproduce WRN experiments

    The wide-resnet experiments provided in the repository does not appear to replicate the results in the paper. Upon running the experiment, neither the expected L0 norm or the expected flops changes at all image

    This is corroborated by the following excerpt from the paper The State of Sparsity in Deep Neural Networks (https://arxiv.org/pdf/1902.09574.pdf). Selection_051

    Would greatly appreciate any feedback on how to utilize this repository to replicate L0 regularization on Wide Resnets for the CIFAR datasets.

    opened by shurjobanerjee 1
  • args,type_net in train_wide_resnet.py undefined

    args,type_net in train_wide_resnet.py undefined

    It seems that there is a little bug in the code which causes the training to stop after one epoch at line 172. The args,type_net in train_wide_resnet.py is not defined. I think that the args,type_net argument should be added right after defining the argument parser in line 17.

    opened by ThomasHagebols 1
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