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ResearchFormerly WizWand

Accuracy Prediction on NAS-Bench-101 100 samples (test)

0.802Kendall's TauNAR-Former V2
0.627280.672640.7180.76336Jun 19, 2023
Updated 8mo ago

Evaluation results

MethodLinks
NAR-Former V2Backbone=Transformer, Training Samples=424 (0.1%)2023.060.802
NAR-FormerBackbone=Transformer, Training Samples=424 (0.1%)2023.060.801
TNASP + SEBackbone=Transformer, Training Samples=424 (0.1%)2023.060.754
TNASPBackbone=Transformer, Training Samples=424 (0.1%)2023.060.752
CTNASBackbone=GNN, Training Samples=424 (0.1%)2023.060.751
NAO+SEBackbone=LSTM, Training Samples=424 (0.1%)2023.060.732
NP + SEBackbone=GNN, Training Samples=424 (0.1%)2023.060.713
NPBackbone=GNN, Training Samples=424 (0.1%)2023.060.71
NAOBackbone=LSTM, Training Samples=424 (0.1%)2023.060.704
ReNASBackbone=CNN, Training Samples=424 (0.1%)2023.060.634