Literature on Neural Architecture Search

The following list considers papers related to neural architecture search. It is by no means complete. We highlight papers accepted at conferences and journals; this should hopefully provide some guidance towards high-quality papers. If you miss a paper on the list, please let us know.

Update [Sept’19]: Although NAS methods steadily improve, the quality of empirical evaluations in this field are still lagging behind compared to other areas in machine learning, AI and optimization. We would therefore like to share some best practices for empirical evaluations of NAS methods, which we believe will facilitate sustained and measurable progress in the field. Therefore, we will pin our research note on that topic at the top of the list for Sept’19. If you are interested in a teaser, please read our blog post or directly jump to our checklist.

Maintained by Marius Lindauer; Last update: September 9th 2019