Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Autoencoders   An autoencoder is a specific type of a neural network, which is mainly
designed to encode the input into a compressed and meaningful representation,
and then decode it back such that the reconstructed input is similar as
possible to the original one. This chapter surveys the different types of
autoencoders that are mainly used today. It also describes various applications
and use-cases of autoencoders.

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The categories of this paper are: mtrl-th
33
The categories of this paper are: plasm-ph
31
The categories of this paper are: ao-sci
6
The categories of this paper are: astro-ph
22
The categories of this paper are: chao-dyn
12
The categories of this paper are: nucl-th
18
The categories of this paper are: econ
24
The categories of this paper are: dg-ga
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The categories of this paper are: acc-phys
5
The categories of this paper are: gr-qc
11
The categories of this paper are: hep-lat
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The categories of this paper are: atom-ph
29
The categories of this paper are: funct-an
27
The categories of this paper are: comp-gas
21
The categories of this paper are: adap-org
15
The categories of this paper are: nucl-ex