Densely Connected Search Space for More Flexible Neural Architecture Search

Neural architecture search (NAS) has dramatically advanced the development of neural network design. We revisit the search space design in most previous NAS methods and find the number and widths of blocks are set manually... (read more)

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Results from the Paper


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT BENCHMARK
Image Classification ImageNet DenseNAS-A Top 1 Accuracy 75.9% # 118
Top 5 Accuracy 92.6% # 86

Methods used in the Paper