# gan-manifold-reg

**Repository Path**: z2007c/gan-manifold-reg

## Basic Information

- **Project Name**: gan-manifold-reg
- **Description**: This is the code we used in our paper  Manifold regularization with GANs for semi-supervised learning
- **Primary Language**: Python
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 1
- **Created**: 2019-07-08
- **Last Updated**: 2020-12-19

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Manifold regularization with GANs for semi-supervised learning

This is the code we used in our paper
>Manifold regularization with GANs for semi-supervised learning
>Bruno Lecouat*, Chuan Sheng Foo*, Houssam Zenati, Vijay Ramaseshan Chandrasekhar

## Requirements

The repo supports python 3.5 + tensorflow 1.5

## Run the Code

To reproduce our results on SVHN
```
python train_svhn.py
```

To reproduce our results on CIFAR-10
```
python train_cifar.py
```

## Results

Here is a comparison of different models using standard architectures on several datasets (SVHN and CIFAR-10):

CIFAR(% errors) | 1000 labels| 4000 labels
-- | -- | --
Pi model |5.43 +/- 0.25| 16.55 +/- 0.29
Mean Teacher |21.55 +/- 1.48 | 12.31 +/- 0.28
VAT large | | 14.18
FM  | 21.83 +/- 2.01 | 18.63 +/- 2.32
ALI | 19.98 +/- 0.89 | 17.99 +/- 1.62
Bad GAN  |  | 14.41 +/- 0.30
Ours | **16.37 +/- 0.42**| **14.34 +/- 0.17**

SVHN (% errors)  | 500 labels | 1000 labels
-- | -- | --
Pi model |7.05 +/- 0.30| 5.43 +/- 0.25
Mean Teacher |4.35 +/- 0.50 | 3.95 +/- 0.19
VAT small |  | 5.77
FM  | 18.44 +/- 4.80 | 8.11 +/- 1.30
ALI |  | 7.41 +/- 0.65
Bad GAN  | | 7.42 +/- 0.65
Ours | **5.67 +/- 0.11**| **4.63 +/- 0.11**