NAAP-440 Dataset and Baseline for Neural Architecture Accuracy Prediction. (arXiv:2209.06626v3 [cs.CV] UPDATED)

Neural architecture search (NAS) has become a common approach to developing
and discovering new neural architectures for different target platforms and
purposes. However, scanning the search space is comprised of long training
processes of many candidate architectures, which is costly in terms of
computational resources and time. Regression algorithms are a common tool to
predicting a candidate architecture's accuracy, which can dramatically
accelerate the search procedure. We aim at proposing a new baseline that will
support the development of regression …

accuracy architecture arxiv dataset prediction