# Lateral Connections in Denoising Autoencoders Support Supervised Learning

arXiv: https://arxiv.org/abs/1504.08215 · HTML: https://mlsanity.com/paper/1504.08215/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 30 Apr 2015.

## Built on by (most cited first, 1 of 1)

- [A multi-stage semi-supervised improved deep embedded clustering method for bearing fault diagnosis under the situation of insufficient labeled samples](https://mlsanity.com/paper/2109.13521/) (2021)

## Abstract (arXiv)

We show how a deep denoising autoencoder with lateral connections can be used as an auxiliary unsupervised learning task to support supervised learning. The proposed model is trained to minimize simultaneously the sum of supervised and unsupervised cost functions by back-propagation, avoiding the need for layer-wise pretraining. It improves the state of the art significantly in the permutation-invariant MNIST classification task.