Neural Architecture Search

Neural architecture search (NAS) is a technique for automating the design of artificial neural networks (ANN), a widely used model in the field of machine learning. NAS essentially takes the process of a human manually tweaking a neural network and learning what works well, and automates this task to discover more complex architectures.

Image Credit : NAS with Reinforcement Learning

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 1476–1500 of 1915 papers

Title	Date	Tasks	Status	Hype
Neural Architecture Search for Gliomas Segmentation on Multimodal Magnetic Resonance Imaging	May 13, 2020	Brain Tumor SegmentationDecoder	CodeCode Available	1
A New Deep Neural Architecture Search Pipeline for Face Recognition	May 12, 2020	AutoMLFace Recognition	—Unverified	0
Neural Architecture Transfer	May 12, 2020	Fine-Grained Image Classificationimage-classification	CodeCode Available	1
AutoSpeech: Neural Architecture Search for Speaker Recognition	May 7, 2020	image-classificationImage Classification	CodeCode Available	1
Noisy Differentiable Architecture Search	May 7, 2020	AutoMLImage Classification	CodeCode Available	1
Learning Architectures from an Extended Search Space for Language Modeling	May 6, 2020	ChunkingLanguage Modeling	—Unverified	0
Exploring the Loss Landscape in Neural Architecture Search	May 6, 2020	Combinatorial OptimizationDenoising	CodeCode Available	1
EDD: Efficient Differentiable DNN Architecture and Implementation Co-search for Embedded AI Solutions	May 6, 2020	GPUNeural Architecture Search	—Unverified	0
Once for All: Train One Network and Specialize it for Efficient Deployment	May 1, 2020	AllCPU	—Unverified	0
Towards Fast Adaptation of Neural Architectures with Meta Learning	May 1, 2020	Few-Shot LearningMeta-Learning	CodeCode Available	1
How to 0wn the NAS in Your Spare Time	May 1, 2020	CPUMalware Detection	CodeCode Available	0
MobileDets: Searching for Object Detection Architectures for Mobile Accelerators	Apr 30, 2020	CPUGPU	CodeCode Available	0
CP-NAS: Child-Parent Neural Architecture Search for Binary Neural Networks	Apr 30, 2020	Neural Architecture Search	—Unverified	0
Teaching Cameras to Feel: Estimating Tactile Physical Properties of Surfaces From Images	Apr 29, 2020	FrictionNeural Architecture Search	CodeCode Available	1
Angle-based Search Space Shrinking for Neural Architecture Search	Apr 28, 2020	Neural Architecture Search	CodeCode Available	1
AutoHR: A Strong End-to-end Baseline for Remote Heart Rate Measurement with Neural Searching	Apr 26, 2020	Data AugmentationNeural Architecture Search	—Unverified	0
Deep Multimodal Neural Architecture Search	Apr 25, 2020	DecoderImage-text matching	CodeCode Available	1
Stage-Wise Neural Architecture Search	Apr 23, 2020	Neural Architecture Search	CodeCode Available	0
Local Search is a Remarkably Strong Baseline for Neural Architecture Search	Apr 20, 2020	Evolutionary Algorithmsimage-classification	CodeCode Available	1
Superkernel Neural Architecture Search for Image Denoising	Apr 19, 2020	DenoisingGPU	—Unverified	0
When Residual Learning Meets Dense Aggregation: Rethinking the Aggregation of Deep Neural Networks	Apr 19, 2020	Neural Architecture Search	—Unverified	0
Towards Non-I.I.D. and Invisible Data with FedNAS: Federated Deep Learning via Neural Architecture Search	Apr 18, 2020	Federated LearningNeural Architecture Search	CodeCode Available	1
Organ at Risk Segmentation for Head and Neck Cancer using Stratified Learning and Neural Architecture Search	Apr 17, 2020	AnatomyNeural Architecture Search	—Unverified	0
Fitting the Search Space of Weight-sharing NAS with Graph Convolutional Networks	Apr 17, 2020	Neural Architecture Search	—Unverified	0
Geometry-Aware Gradient Algorithms for Neural Architecture Search	Apr 16, 2020	Neural Architecture Search	CodeCode Available	1

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All datasets ImageNet NAS-Bench-201, ImageNet-16-120 CIFAR-10 NAS-Bench-201, CIFAR-100 NAS-Bench-201, CIFAR-10 CIFAR-10 Image Classification CIFAR-100 NATS-Bench Topology, CIFAR-10 NATS-Bench Topology, CIFAR-100 NATS-Bench Topology, ImageNet16-120 Food-101 NAS-Bench-101

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	SPOS (ProxylessNAS (GPU) latency)	Accuracy	75.3	—	Unverified
2	SPOS (FBNet-C latency)	Accuracy	75.1	—	Unverified
3	SPOS (block search + channel search)	Accuracy	74.7	—	Unverified
4	MUXNet-xs	Top-1 Error Rate	33.3	—	Unverified
5	FBNetV2-F1	Top-1 Error Rate	31.7	—	Unverified
6	LayerNAS-60M	Top-1 Error Rate	31	—	Unverified
7	NASGEP	Top-1 Error Rate	29.51	—	Unverified
8	MUXNet-s	Top-1 Error Rate	28.4	—	Unverified
9	NN-MASS-A	Top-1 Error Rate	27.1	—	Unverified
10	FBNetV2-F3	Top-1 Error Rate	26.8	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	CR-LSO	Accuracy (Test)	46.98	—	Unverified
2	Shapley-NAS	Accuracy (Test)	46.85	—	Unverified
3	β-RDARTS-L2	Accuracy (Test)	46.71	—	Unverified
4	β-SDARTS-RS	Accuracy (Test)	46.71	—	Unverified
5	ASE-NAS+	Accuracy (Val)	46.66	—	Unverified
6	NAR	Accuracy (Test)	46.66	—	Unverified
7	BaLeNAS-TF	Accuracy (Test)	46.54	—	Unverified
8	AG-Net	Accuracy (Test)	46.42	—	Unverified
9	Local search	Accuracy (Test)	46.38	—	Unverified
10	NASBOT	Accuracy (Test)	46.37	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Balanced Mixture	Accuracy (% )	91.55	—	Unverified
2	GDAS	Top-1 Error Rate	3.4	—	Unverified
3	Bonsai-Net	Top-1 Error Rate	3.35	—	Unverified
4	Net2 (2)	Top-1 Error Rate	3.3	—	Unverified
5	μDARTS	Top-1 Error Rate	3.28	—	Unverified
6	NN-MASS- CIFAR-C	Top-1 Error Rate	3.18	—	Unverified
7	NN-MASS- CIFAR-A	Top-1 Error Rate	3	—	Unverified
8	DARTS (first order)	Top-1 Error Rate	3	—	Unverified
9	NASGEP	Top-1 Error Rate	2.82	—	Unverified
10	AlphaX-1 (cutout NASNet)	Top-1 Error Rate	2.82	—	Unverified