Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: An Introduction to Neural Architecture Search for Convolutional Networks   Neural Architecture Search (NAS) is a research field concerned with utilizing
optimization algorithms to design optimal neural network architectures. There
are many approaches concerning the architectural search spaces, optimization
algorithms, as well as candidate architecture evaluation methods. As the field
is growing at a continuously increasing pace, it is difficult for a beginner to
discern between major, as well as emerging directions the field has followed.
In this work, we provide an introduction to the basic concepts of NAS for
convolutional networks, along with the major advances in search spaces,
algorithms and evaluation techniques.

17
The categories of this paper are: q-fin
21
The categories of this paper are: adap-org
37
The categories of this paper are: supr-con
11
The categories of this paper are: hep-lat
29
The categories of this paper are: funct-an
30
The categories of this paper are: q-alg
7
The categories of this paper are: hep-th
20
The categories of this paper are: acc-phys
18
The categories of this paper are: econ
35
The categories of this paper are: mtrl-th
28
The categories of this paper are: alg-geom
36
The categories of this paper are: cmp-lg
10
The categories of this paper are: q-bio
5
The categories of this paper are: gr-qc
27
The categories of this paper are: comp-gas
8
The categories of this paper are: hep-ex