DANCE reformulates NAS as continuous evolution via learned stochastic gates over feature dimensions, but its headline 'consistently outperforms' claim fails on CIFAR-10 and is undermined by weak baselines.
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DANCE: Resource-Efficient Neural Architecture Search with Data-Aware and Continuous Adaptation
DANCE reformulates NAS as continuous evolution via learned stochastic gates over feature dimensions, but its headline 'consistently outperforms' claim fails on CIFAR-10 and is undermined by weak baselines.