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Neural Architecture Search On Imagenet

Metrics

Accuracy
FLOPs
Params
Top-1 Error Rate

Results

Performance results of various models on this benchmark

Model Name
Accuracy
FLOPs
Params
Top-1 Error Rate
Paper TitleRepository
DNA-d78.4611M6.4M21.6Blockwisely Supervised Neural Architecture Search with Knowledge Distillation-
b-DARTS (CIFAR-10)---23.9$β$-DARTS: Beta-Decay Regularization for Differentiable Architecture Search-
HardcoreNAS_A75.9--24.1HardCoRe-NAS: Hard Constrained diffeRentiable Neural Architecture Search-
DARTS73.3-4.926.7DARTS: Differentiable Architecture Search-
μDARTS78.76-602M21.24$μ$DARTS: Model Uncertainty-Aware Differentiable Architecture Search-
AlphaNet-A279.2317M-20.8AlphaNet: Improved Training of Supernets with Alpha-Divergence-
NAT-M480.5-9.1M19.5Neural Architecture Transfer-
EvNAS-C74.9-4.925.1Evolving Neural Architecture Using One Shot Model-
SPOS (FBNet-C latency)75.1---Single Path One-Shot Neural Architecture Search with Uniform Sampling-
DenseNAS-Large-479M-23.9Densely Connected Search Space for More Flexible Neural Architecture Search-
HardcoreNAS_E_KD80.1--19.9HardCoRe-NAS: Hard Constrained diffeRentiable Neural Architecture Search-
ISyNet-N1-S1---22.7ISyNet: Convolutional Neural Networks design for AI accelerator-
HardcoreNAS_D_KD79.5--20.5HardCoRe-NAS: Hard Constrained diffeRentiable Neural Architecture Search-
iDARTS (ImageNet)--5.1M24.7iDARTS: Improving DARTS by Node Normalization and Decorrelation Discretization-
SharpSepConvDARTS74.1-4.9M25.1sharpDARTS: Faster and More Accurate Differentiable Architecture Search-
DeepMAD-50M83.98.7G50M16.1DeepMAD: Mathematical Architecture Design for Deep Convolutional Neural Network-
AlphaNet-A179.0279M-21.0AlphaNet: Improved Training of Supernets with Alpha-Divergence-
AlphaNet-A680.8709M-19.2AlphaNet: Improved Training of Supernets with Alpha-Divergence-
EvNAS-B75.6-5.324.4Evolving Neural Architecture Using One Shot Model-
FairNAS-B75.1-4.5M24.9FairNAS: Rethinking Evaluation Fairness of Weight Sharing Neural Architecture Search-
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