<p>Given a supervised problem with X, y input pairs, one can do two things for obtaining the function f that maps X with y with Neural Networks (and in general in machine learning):</p>
<ul>
<li><p>Deploy directly a supervised learning algorithm that maps X to y</p>
</li>
<li><p>Deploy a (variational) auto-encoder for learning useful features, and then using these for training the supervised learning algorithm</p>
</li>
</ul>
<p>I would like to be pointed to some papers/blogs that explain which technique is better and when or where they conduct empirical benchmarking experiments.</p>

CC BY-SA 4.0
2020-12-09T10:18:02.733Z
Are you asking about the advantages of using auto-encoders to pre-train models in an unsupervised way that are later trained in a supervised way to solve a classification task? You mention variational auto-encoders. Are you interested specifically in VAEs or any AE?
nbro
CC BY-SA 4.0
2020-12-09T10:35:12.333Z
Yes exactly, AE or VAE is the same
Tommaso Bendinelli
<classification><reference-request><autoencoders><supervised-learning><transfer-learning>
Literature on the advantages of using an auto-encoder for classification
Tommaso Bendinelli
# Literature on the advantages of using an auto-encoder for classification

(Asked by: username_0 on 2020-12-09)

Given a supervised problem with X, y input pairs, one can do two things for obtaining the function f that maps X with y with Neural Networks (and in general in machine learning):

* Deploy directly a supervised learning algorithm that maps X to y
* Deploy a (variational) auto-encoder for learning useful features, and then using these for training the supervised learning algorithm

I would like to be pointed to some papers/blogs that explain which technique is better and when or where they conduct empirical benchmarking experiments.

**Tags:** classification, reference-request, autoencoders, supervised-learning, transfer-learning

> **Comments:**
> **username_1**: Are you asking about the advantages of using auto-encoders to pre-train models in an unsupervised way that are later trained in a supervised way to solve a classification task? You mention variational auto-encoders. Are you interested specifically in VAEs or any AE?  
> **username_0**: Yes exactly, AE or VAE is the same  

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## 0 answers

