Back to Basics: Efficient Network Compression via IMP

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Deep LearningIMP
Overview

Back to Basics: Efficient Network Compression via IMP

Authors: Max Zimmer, Christoph Spiegel, Sebastian Pokutta

This repository contains the code to reproduce the experiments from the "Back to Basics: Efficient Network Compression via IMP" (arXiv:2111.00843) paper. The code is based on PyTorch 1.9 and the experiment-tracking platform Weights & Biases.

Structure and Usage

Experiments are started from the following three files:

The rest of the project is structured as follows:

Citation

In case you find the paper or the implementation useful for your own research, please consider citing:

@Article{zimmer2021basics,
  author        = {Max Zimmer and Christoph Spiegel and Sebastian Pokutta},
  title         = {Back to Basics: Efficient Network Compression via IMP},
  year          = {2021},
  archiveprefix = {arXiv},
  eprint        = {2111.00843},
  primaryclass  = {cs.LG},
}
Owner
IOL Lab @ ZIB
IOL Lab @ ZIB
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