Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Differential Evolution for Neural Architecture Search   Neural architecture search (NAS) methods rely on a search strategy for
deciding which architectures to evaluate next and a performance estimation
strategy for assessing their performance (e.g., using full evaluations,
multi-fidelity evaluations, or the one-shot model). In this paper, we focus on
the search strategy. We introduce the simple yet powerful evolutionary
algorithm of differential evolution to the NAS community. Using the simplest
performance evaluation strategy of full evaluations, we comprehensively compare
this search strategy to regularized evolution and Bayesian optimization and
demonstrate that it yields improved and more robust results for 13 tabular NAS
benchmarks based on NAS-Bench-101, NAS-Bench-1Shot1, NAS-Bench-201 and NAS-HPO
bench.

17
The categories of this paper are: q-fin
9
The categories of this paper are: nlin
23
The categories of this paper are: solv-int
29
The categories of this paper are: funct-an
6
The categories of this paper are: astro-ph
22
The categories of this paper are: chao-dyn
16
The categories of this paper are: stat
8
The categories of this paper are: hep-ex
31
The categories of this paper are: ao-sci
10
The categories of this paper are: q-bio
33
The categories of this paper are: plasm-ph
34
The categories of this paper are: chem-ph
18
The categories of this paper are: econ
14
The categories of this paper are: math-ph
7
The categories of this paper are: hep-th
12
The categories of this paper are: nucl-th