BigNAS: Scaling Up Neural Architecture Search with Big Single-Stage Models
european conference on computer vision, pp. 702-717, 2020.
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Abstract:
Neural architecture search (NAS) has shown promising results discovering models that are both accurate and fast. For NAS, training a one-shot model has become a popular strategy to rank the relative quality of different architectures (child models) using a single set of shared weights. However, while one-shot model weights can effective...More
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