Tasks SotA Datasets Papers Methods Submit About

Papers With Code 2

A community resource for machine learning research: papers, code, benchmarks, and state-of-the-art results.

Explore

Notable Benchmarks All SotA Datasets Papers Methods

Community

Submit Results About

Data sourced from the PWC Archive (CC-BY-SA 4.0). Built by the community, for the community.

Models/FairNAS-A

FairNAS-A

Reported on 11 benchmarks across 3 tasks · 1 paper · 2 SOTA

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

Methodology10 results

Neural Architecture SearchonCIFAR-10
FLOPS· uses extra data· 2019-07-03
391
SOTA
FairNAS: Rethinking Evaluation Fairness of Weight Sharing Neural Architecture Search arXiv:1907.01845
AutoMLonCIFAR-10
FLOPS· uses extra data· 2019-07-03
391
SOTA
FairNAS: Rethinking Evaluation Fairness of Weight Sharing Neural Architecture Search arXiv:1907.01845
Neural Architecture SearchonCIFAR-10
Parameters· uses extra data· 2019-07-03
3
best: 4.1 (CATE)
FairNAS: Rethinking Evaluation Fairness of Weight Sharing Neural Architecture Search arXiv:1907.01845
Neural Architecture SearchonCIFAR-10
Search Time (GPU days)· uses extra data· 2019-07-03
8
best: 224 (AlphaX-1 (cutout NASNet))
FairNAS: Rethinking Evaluation Fairness of Weight Sharing Neural Architecture Search arXiv:1907.01845
Neural Architecture SearchonImageNet
Accuracy· 2019-07-03
75.34
best: 83.9 (DeepMAD-50M)
FairNAS: Rethinking Evaluation Fairness of Weight Sharing Neural Architecture Search arXiv:1907.01845
Neural Architecture SearchonImageNet
Top-1 Error Rate· 2019-07-03
24.7
best: 16.1 (DeepMAD-50M)
FairNAS: Rethinking Evaluation Fairness of Weight Sharing Neural Architecture Search arXiv:1907.01845
AutoMLonCIFAR-10
Parameters· uses extra data· 2019-07-03
3
best: 4.1 (CATE)
FairNAS: Rethinking Evaluation Fairness of Weight Sharing Neural Architecture Search arXiv:1907.01845
AutoMLonCIFAR-10
Search Time (GPU days)· uses extra data· 2019-07-03
8
best: 224 (AlphaX-1 (cutout NASNet))
FairNAS: Rethinking Evaluation Fairness of Weight Sharing Neural Architecture Search arXiv:1907.01845
AutoMLonImageNet
Accuracy· 2019-07-03
75.34
best: 83.9 (DeepMAD-50M)
FairNAS: Rethinking Evaluation Fairness of Weight Sharing Neural Architecture Search arXiv:1907.01845
AutoMLonImageNet
Top-1 Error Rate· 2019-07-03
24.7
best: 16.1 (DeepMAD-50M)
FairNAS: Rethinking Evaluation Fairness of Weight Sharing Neural Architecture Search arXiv:1907.01845

Computer Vision1 result

Image ClassificationonImageNet
GFLOPs· 2019-07-03
0.776
best: 1478 (InternImage-H)
FairNAS: Rethinking Evaluation Fairness of Weight Sharing Neural Architecture Search arXiv:1907.01845