Single Path One-Shot Neural Architecture Search with Uniform Sampling

ICLR 2020 Zichao GuoXiangyu ZhangHaoyuan MuWen HengZechun LiuYichen WeiJian Sun

We revisit the one-shot Neural Architecture Search (NAS) paradigm and analyze its advantages over existing NAS approaches. Existing one-shot method, however, is hard to train and not yet effective on large scale datasets like ImageNet... (read more)

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Results from the Paper


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT LEADERBOARD
Neural Architecture Search ImageNet OneShot-S+ Top-1 Error Rate 24.25 # 16
Accuracy 75.75 # 15

Methods used in the Paper