Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Best Practices for Scientific Research on Neural Architecture Search   Finding a well-performing architecture is often tedious for both DL
practitioners and researchers, leading to tremendous interest in the automation
of this task by means of neural architecture search (NAS). Although the
community has made major strides in developing better NAS methods, the quality
of scientific empirical evaluations in the young field of NAS is still lacking
behind that of other areas of machine learning. To address this issue, we
describe a set of possible issues and ways to avoid them, leading to the NAS
best practices checklist available at http://automl.org/nas_checklist.pdf.

14
The categories of this paper are: math-ph
31
The categories of this paper are: ao-sci
22
The categories of this paper are: chao-dyn
29
The categories of this paper are: funct-an
34
The categories of this paper are: chem-ph
33
The categories of this paper are: plasm-ph
6
The categories of this paper are: astro-ph
13
The categories of this paper are: quant-ph
10
The categories of this paper are: q-bio
0
The categories of this paper are: hep-ph
11
The categories of this paper are: hep-lat
37
The categories of this paper are: supr-con
4
The categories of this paper are: cond-mat
21
The categories of this paper are: adap-org
25
The categories of this paper are: patt-sol
2
The categories of this paper are: math