A Generic Graph-based Neural Architecture Encoding Scheme for Predictor-based NAS

This work proposes a novel Graph-based neural ArchiTecture Encoding Scheme, a.k.a. GATES, to improve the predictor-based neural architecture search... (read more)

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TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT BENCHMARK
Neural Architecture Search CIFAR-10 Image Classification GATES + c/o Percentage error 2.58 # 11
Params 4.1M # 5
Neural Architecture Search ImageNet GATES Top-1 Error Rate 24.1 # 18
Accuracy 75.9 # 18
Params 5.6M # 10

Methods used in the Paper