Unofficial PyTorch implementation of Guided Dropout

This is a simple implementation of Guided Dropout for research.
We try to reproduce the algorithm according to the paper published in AAA-19, but we can’t guarantee the performance reported in the paper.
We will list some experiment results soon.

TODO

  • Release the reproduced code
  • list experiment results

Setup

pip install -r requirements.txt

Run

  1. Run Guided Dropout on CIFAR10 Dataset (mlp 3 hidden layers with 1024 nodes)
python mainpro.py --dataset CIFAR10 --arc mlp --mlp-depth 3 --hidden-dim 1024 -e

 

 

 

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