Image Reconstruction on MNIST
0.183LossRelational Variational Autoencoder (RVAE)
Evaluation results
| Method | Links | |
|---|---|---|
| Relational Variational Autoencoder (RVAE)Validation Strategy=10-fold cross validation2018.02 | 0.183 | |
| Variational Autoencoder (VAE)Validation Strategy=10-fold cross validation2018.02 | 0.201 | |
| Relational Denoising Autoencoder (RDAE)Validation Strategy=10-fold cross validation2018.02 | 0.217 | |
| Denoising Autoencoder (DAE)Validation Strategy=10-fold cross validation2018.02 | 0.269 | |
| Relational Sparse Autoencoder (RSAE)Validation Strategy=10-fold cross validation2018.02 | 0.296 | |
| Sparse Autoencoder (SAE)Validation Strategy=10-fold cross validation2018.02 | 0.312 | |
| Relational Autoencoder (RAE)Validation Strategy=10-fold cross validation2018.02 | 0.677 | |
| Generative Autoencoder (GAE)Validation Strategy=10-fold cross validation2018.02 | 0.782 | |
| Basic Autoencoder (BAE)Validation Strategy=10-fold cross validation2018.02 | 0.813 |