Neural architecture search (NAS) [1][2] is a technique for automating the design of artificial neural networks (ANN), a widely used model in the field of machine learning.

Jul 23, 2025 · Neural Architecture Search (NAS) is a cutting-edge technique in the field of automated machine learning (AutoML) that aims to automate the design of neural networks.

Jan 20, 2023 · In this survey, we provide an organized and comprehensive guide to neural architecture search. We give a taxonomy of search spaces, algorithms, and speedup …

Sep 27, 2024 · What is Neural Architecture Search (NAS)? Neural Architecture Search (NAS) is a technique in machine learning that automates the process of designing neural network …

Aug 13, 2025 · Neural architecture search has transformed the way we design neural networks. By treating architecture design as a learning problem and automating the search over network …

Neural Architecture Search (NAS) automates the process of architecture design of neural networks. NAS approaches optimize the topology of the networks, incl. how to connect nodes …

One crucial aspect for this progress are novel neural architectures. Currently employed architectures have mostly been developed manually by human experts, which is a time …

Mar 27, 2025 · Researchers aim to develop algorithms that can efficiently explore the vast space of possible architectures, identify the most promising ones, and refine them to enhance their …

Jan 6, 2025 · Within the realm of AutoML, Neural Architecture Search (NAS) has emerged as a powerful technique that automates the design of neural network architectures, the core …

Jan 27, 2022 · Neural Architecture Search (NAS) is the process of automating the design of neural networks’ topology in order to achieve the best performance on a specific task.