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Models/FairNAS

FairNAS

Reported on 16 benchmarks across 2 tasks · 1 paper · 10 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Methodology16 results

Neural Architecture SearchonNAS-Bench-201, CIFAR-10
Accuracy (Test)· 2019-07-03
93.23
best: 94.37 (DiNAS)
SOTA
FairNAS: Rethinking Evaluation Fairness of Weight Sharing Neural Architecture Search arXiv:1907.01845
Neural Architecture SearchonNAS-Bench-201, CIFAR-10
Search time (s)· 2019-07-03
9845
best: 31010 (SETN)
SOTA
FairNAS: Rethinking Evaluation Fairness of Weight Sharing Neural Architecture Search arXiv:1907.01845
Neural Architecture SearchonNAS-Bench-201, CIFAR-100
Accuracy (Test)· 2019-07-03
71
best: 73.51 (DiNAS)
SOTA
FairNAS: Rethinking Evaluation Fairness of Weight Sharing Neural Architecture Search arXiv:1907.01845
Neural Architecture SearchonNAS-Bench-201, CIFAR-100
Accuracy (Val)· 2019-07-03
70.94
best: 73.49 (DiNAS)
SOTA
FairNAS: Rethinking Evaluation Fairness of Weight Sharing Neural Architecture Search arXiv:1907.01845
Neural Architecture SearchonNAS-Bench-201, CIFAR-100
Search time (s)· 2019-07-03
9845
best: 31010 (SETN)
SOTA
FairNAS: Rethinking Evaluation Fairness of Weight Sharing Neural Architecture Search arXiv:1907.01845
AutoMLonNAS-Bench-201, CIFAR-10
Accuracy (Test)· 2019-07-03
93.23
best: 94.37 (DiNAS)
SOTA
FairNAS: Rethinking Evaluation Fairness of Weight Sharing Neural Architecture Search arXiv:1907.01845
AutoMLonNAS-Bench-201, CIFAR-10
Search time (s)· 2019-07-03
9845
best: 31010 (SETN)
SOTA
FairNAS: Rethinking Evaluation Fairness of Weight Sharing Neural Architecture Search arXiv:1907.01845
AutoMLonNAS-Bench-201, CIFAR-100
Accuracy (Test)· 2019-07-03
71
best: 73.51 (DiNAS)
SOTA
FairNAS: Rethinking Evaluation Fairness of Weight Sharing Neural Architecture Search arXiv:1907.01845
AutoMLonNAS-Bench-201, CIFAR-100
Accuracy (Val)· 2019-07-03
70.94
best: 73.49 (DiNAS)
SOTA
FairNAS: Rethinking Evaluation Fairness of Weight Sharing Neural Architecture Search arXiv:1907.01845
AutoMLonNAS-Bench-201, CIFAR-100
Search time (s)· 2019-07-03
9845
best: 31010 (SETN)
SOTA
FairNAS: Rethinking Evaluation Fairness of Weight Sharing Neural Architecture Search arXiv:1907.01845
Neural Architecture SearchonNAS-Bench-201, ImageNet-16-120
Accuracy (Test)· 2019-07-03
42.19
best: 46.98 (CR-LSO)
FairNAS: Rethinking Evaluation Fairness of Weight Sharing Neural Architecture Search arXiv:1907.01845
Neural Architecture SearchonNAS-Bench-201, ImageNet-16-120
Search time (s)· 2019-07-03
9845
best: 151200 (Local search)
FairNAS: Rethinking Evaluation Fairness of Weight Sharing Neural Architecture Search arXiv:1907.01845
Neural Architecture SearchonNAS-Bench-201, CIFAR-10
Accuracy (Val)· 2019-07-03
90.07
best: 91.61 (DiNAS)
FairNAS: Rethinking Evaluation Fairness of Weight Sharing Neural Architecture Search arXiv:1907.01845
AutoMLonNAS-Bench-201, ImageNet-16-120
Accuracy (Test)· 2019-07-03
42.19
best: 46.98 (CR-LSO)
FairNAS: Rethinking Evaluation Fairness of Weight Sharing Neural Architecture Search arXiv:1907.01845
AutoMLonNAS-Bench-201, ImageNet-16-120
Search time (s)· 2019-07-03
9845
best: 151200 (Local search)
FairNAS: Rethinking Evaluation Fairness of Weight Sharing Neural Architecture Search arXiv:1907.01845
AutoMLonNAS-Bench-201, CIFAR-10
Accuracy (Val)· 2019-07-03
90.07
best: 91.61 (DiNAS)
FairNAS: Rethinking Evaluation Fairness of Weight Sharing Neural Architecture Search arXiv:1907.01845