68 citations · 103 across the 8 of their papers we have counts for
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cs.LG2019★ 68 cited
Bridging the Gap between Sample-based and One-shot Neural Architecture Search with BONAS
Han Shi, Renjie Pi, Hang Xu +3
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 sea…
cs.LG2019★ 9 cited
Hierarchical Neural Architecture Search via Operator Clustering
Guilin Li, Xing Zhang, Zitong Wang +4
Recently, the efficiency of automatic neural architecture design has been significantly improved by gradient-based search methods such as DARTS. However, recent literature has brou…