Eight years of AutoML: categorisation, review and trends

R Barbudo, S Ventura, JR Romero - Knowledge and Information Systems, 2023 - Springer
Abstract Knowledge extraction through machine learning techniques has been successfully
applied in a large number of application domains. However, apart from the required …

Evolutionary deep learning: A survey

ZH Zhan, JY Li, J Zhang - Neurocomputing, 2022 - Elsevier
As an advanced artificial intelligence technique for solving learning problems, deep learning
(DL) has achieved great success in many real-world applications and attracted increasing …

[HTML][HTML] Are neural architecture search benchmarks well designed? A deeper look into operation importance

V Lopes, B Degardin, LA Alexandre - Information Sciences, 2023 - Elsevier
Abstract Neural Architecture Search (NAS) benchmarks significantly improved the capability
of developing and comparing NAS methods while at the same time drastically reduced the …

Binary Neural Architecture Search

B Zhang, T Wang, S Xu, D Doermann - Neural Networks with Model …, 2024 - Springer
Deep convolutional neural networks (DCNNs) have achieved state-of-the-art performance in
various computer vision tasks, including image classification, instance segmentation, and …