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LESS: Lightweight Evolutionary Supernet Search in Minutes

Gandhi, Aviral et al.
arXiv (All) · Papers
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machine-learningneural-and-evolutionary-computing
Low-cost NAS must both explore high-performing architectures and identify them reliably, yet reducing evaluation cost often weakens the fidelity of candidate comparisons. Training-free methods reduce evaluation cost by replacing learned task feedback with proxy signals measured at initialization. We
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