most citedCE-NAS: An End-to-End Carbon-Efficient Neural Architecture Search Framework

2 citations · 2 across the 1 of their papers we have counts for

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1 paper

cs.LG2024★ 2 cited

CE-NAS: An End-to-End Carbon-Efficient Neural Architecture Search Framework

Yiyang Zhao, Yunzhuo Liu, Bo Jiang +1

This work presents a novel approach to neural architecture search (NAS) that aims to increase carbon efficiency for the model design process. The proposed framework CE-NAS addresse…