DNA Family: Boosting Weight-Sharing NAS With Block-Wise Supervisions
Guangrun Wang,
Changlin Li,
Liuchun Yuan
et al.
Abstract:Neural Architecture Search (NAS), aiming at automatically designing neural architectures by machines, has been considered a key step toward automatic machine learning. One notable NAS branch is the weight-sharing NAS, which significantly improves search efficiency and allows NAS algorithms to run on ordinary computers. Despite receiving high expectations, this category of methods suffers from low search effectiveness. By employing a generalization boundedness tool, we demonstrate that the devil behind this dra… Show more
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