Bridging the Gap between Sample-based and One-shot Neural Architecture
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Bridging the Gap between Sample-based and One-shot Neural Architecture
Search with BONAS
Neural Architecture Search (NAS) has shown great potentials in finding better neural network designs. Sample-based NAS is the most reliable approach which aims at exploring the search space and evaluating the most promising architectures. However, it is computationally very costly. As a remedy, the one-shot approach has emerged as a …