Usage

Here are some examples of how to use DDR:

For toy classification examples:

python demo_toys.py --save 'Results/toys' --dataset 3

For toy regression examples:

python demo_reg_toys.py --save 'Results/reg_toys' --model 2 --scenario 2

To train DDR on MNIST dataset:

python train.py --save 'Results/MNIST' --latent_dim 16

Evaluation

To evaluate DDR on MNIST:

python eval.py --path 'Results/MNIST' --latent_dim 16

Pre-trained Models

While DDR does not adopt pre-trained models, we provide trained models to save time and computational resources. To evaluate DDR on MNIST with trained models:

python eval.py --path 'Results/MNIST_trained_16' --latent_dim 16

Results

DDR achieves the following performance on Image Classification on MNIST:

Reduced Dimension	16	32	64
DDR	99.63%	99.53%	99.60%