# LRP_pruning

**Repository Path**: shenghsin/LRP_pruning

## Basic Information

- **Project Name**: LRP_pruning
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2021-11-19
- **Last Updated**: 2022-02-19

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# LRP based Structured Pruning

## Requirements
> Pytorch 1.6.0+ \
> Python 3.8+ \
> pandas
> 

## Model
> ResNet-18, ResNet-50\
> VGG-16, AlexNet
> 

## Toy Experiment
>  https://github.com/seulkiyeom/LRP_Pruning_toy_example
>  

## Reference 

If you make use of, or are inspired by our work and code, please cite our paper
```
@article{yeom2021pruning,
  title={Pruning by explaining: A novel criterion for deep neural network pruning},
  author={Yeom, Seul-Ki and
          Seegerer, Philipp and
          Lapuschkin, Sebastian and
          Binder, Alexander and
          Wiedemann, Simon and
          M{\"u}ller, Klaus-Robert and
          Samek, Wojciech},
  journal={Pattern Recognition},
  pages={107899},
  year={2021},
  publisher={Elsevier}
}


```