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Zheng Lian

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Review Open access Sep 2026

Systematic review of training-free neural architecture search: research progress, core challenges, and future directions

Neural Architecture Search (NAS) serves as a performance engine for automated machine learning, driving intelligent advancements across various domains. However, its development has been significantly constrained by the prohibitively high computational costs involved. Training-Free Neural Architecture Search (TFNAS)...

Xin-Yu Li, Zhao-Fa Zhou, Zhi-Li Zhang et al. · 0 citations

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