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Architecture Search On Cifar 10 Image

Metrics

FLOPS

Params

Percentage error

Results

Performance results of various models on this benchmark

Model Name	FLOPS	Params	Percentage error	Paper Title	Repository
SharpSepConvDARTS	579M	3.6M	1.98	sharpDARTS: Faster and More Accurate Differentiable Architecture Search
NAONet + c/o	-	144.6M	1.93	Neural Architecture Optimization
Soft Parameter Sharing	-	33.5	2.53	Learning Implicitly Recurrent CNNs Through Parameter Sharing
NAT-M2	291M	4.6M	2.1	Neural Architecture Transfer
arch2vec	-	3.6	2.56	Does Unsupervised Architecture Representation Learning Help Neural Architecture Search?
GATES + c/o	-	4.1M	2.58	A Generic Graph-based Neural Architecture Encoding Scheme for Predictor-based NAS
PathLevel EAS + c/o	-	14.3M	2.30	Path-Level Network Transformation for Efficient Architecture Search
EEEA-Net-C (b=5)+ CO	-	3.6	-	EEEA-Net: An Early Exit Evolutionary Neural Architecture Search
Proxyless-G + c/o	-	5.7M	2.08	ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware
MUXNet-m	200M	2.1M	2.0	MUXConv: Information Multiplexing in Convolutional Neural Networks
DARTS + c/o	-	3.4M	2.83	DARTS: Differentiable Architecture Search
NAT-M1	232M	4.3M	2.6	Neural Architecture Transfer
NAS-RL-A + c/o	-	27.6M	2.4	Neural Architecture Search with Reinforcement Learning
ENAS + c/o	-	4.6M	2.89	Efficient Neural Architecture Search via Parameter Sharing
AlphaX-1 (cutout NASNet)	-	3.59M	-	AlphaX: eXploring Neural Architectures with Deep Neural Networks and Monte Carlo Tree Search
NAT-M3	392M	6.2M	1.8	Neural Architecture Transfer
NAT-M4	468M	6.9M	1.6	Neural Architecture Transfer
CATE	-	4.1	2.46	CATE: Computation-aware Neural Architecture Encoding with Transformers
AmoebaNet-B + c/o	-	34.9M	2.13	Regularized Evolution for Image Classifier Architecture Search

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