Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Bag of Tricks for Neural Architecture Search   While neural architecture search methods have been successful in previous
years and led to new state-of-the-art performance on various problems, they
have also been criticized for being unstable, being highly sensitive with
respect to their hyperparameters, and often not performing better than random
search. To shed some light on this issue, we discuss some practical
considerations that help improve the stability, efficiency and overall
performance.

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The categories of this paper are: chem-ph
12
The categories of this paper are: nucl-th
22
The categories of this paper are: chao-dyn
13
The categories of this paper are: quant-ph
33
The categories of this paper are: plasm-ph
35
The categories of this paper are: mtrl-th
24
The categories of this paper are: dg-ga
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The categories of this paper are: q-alg
9
The categories of this paper are: nlin
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The categories of this paper are: atom-ph
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The categories of this paper are: math-ph
23
The categories of this paper are: solv-int
3
The categories of this paper are: physics
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The categories of this paper are: eess
27
The categories of this paper are: comp-gas
2
The categories of this paper are: math