VKDNW scores untrained image classifiers by the entropy of eigenvalue deciles of a Fisher information matrix sampled from one weight per layer, and this ranking outperforms prior zero-cost NAS proxies.
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Training-free Neural Architecture Search through Variance of Knowledge of Deep Network Weights
VKDNW scores untrained image classifiers by the entropy of eigenvalue deciles of a Fisher information matrix sampled from one weight per layer, and this ranking outperforms prior zero-cost NAS proxies.