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Yunzhuo Liu

1 accepted papers

2024

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

NeurIPS 2024poster

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 addresses the key challenge of high carbon cost associated with NAS by exploring the carbon emission variations of energy and en…