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 1751–1775 of 1915 papers

Title	Date	Tasks	Status
AGAN: Towards Automated Design of Generative Adversarial Networks	Jun 25, 2019	image-classificationImage Classification	—Unverified
Densely Connected Search Space for More Flexible Neural Architecture Search	Jun 23, 2019	Image ClassificationNeural Architecture Search	CodeCode Available
Posterior-Guided Neural Architecture Search	Jun 23, 2019	GPUimage-classification	CodeCode Available
Clustering and Classification Networks	Jun 20, 2019	ClassificationClustering	—Unverified
SwiftNet: Using Graph Propagation as Meta-knowledge to Search Highly Representative Neural Architectures	Jun 19, 2019	Neural Architecture Search	CodeCode Available
Transfer NAS: Knowledge Transfer between Search Spaces with Transformer Agents	Jun 19, 2019	Neural Architecture SearchTransfer Learning	—Unverified
A Study of the Learning Progress in Neural Architecture Search Techniques	Jun 18, 2019	Neural Architecture Search	—Unverified
Hardware Aware Neural Network Architectures using FbNet	Jun 17, 2019	BenchmarkingNeural Architecture Search	CodeCode Available
Sample-Efficient Neural Architecture Search by Learning Action Space	Jun 17, 2019	Evolutionary AlgorithmsNeural Architecture Search	—Unverified
Scalable Neural Architecture Search for 3D Medical Image Segmentation	Jun 13, 2019	DecoderImage Segmentation	—Unverified
Continual and Multi-Task Architecture Search	Jun 12, 2019	Continual LearningGeneral Classification	CodeCode Available
DiCENet: Dimension-wise Convolutions for Efficient Networks	Jun 8, 2019	image-classificationImage Classification	CodeCode Available
One-Shot Neural Architecture Search via Compressive Sensing	Jun 7, 2019	Compressive SensingMeta-Learning	CodeCode Available
AutoGrow: Automatic Layer Growing in Deep Convolutional Networks	Jun 7, 2019	Neural Architecture Search	CodeCode Available
V-NAS: Neural Architecture Search for Volumetric Medical Image Segmentation	Jun 6, 2019	GPUImage Segmentation	—Unverified
StyleNAS: An Empirical Study of Neural Architecture Search to Uncover Surprisingly Fast End-to-End Universal Style Transfer Networks	Jun 6, 2019	image-classificationImage Classification	—Unverified
Butterfly Transform: An Efficient FFT Based Neural Architecture Design	Jun 5, 2019	Neural Architecture Search	CodeCode Available
MFAS: Multimodal Fusion Architecture Search	Jun 1, 2019	Action RecognitionGeneral Classification	CodeCode Available
RENAS: Reinforced Evolutionary Neural Architecture Search	Jun 1, 2019	Neural Architecture SearchSemantic Segmentation	—Unverified
Efficient Neural Architecture Search via Proximal Iterations	May 30, 2019	GPUNeural Architecture Search	CodeCode Available
SpArSe: Sparse Architecture Search for CNNs on Resource-Constrained Microcontrollers	May 28, 2019	BIG-bench Machine LearningNeural Architecture Search	—Unverified
DDPNAS: Efficient Neural Architecture Search via Dynamic Distribution Pruning	May 28, 2019	AutoMLGPU	CodeCode Available
Dynamic Cell Structure via Recursive-Recurrent Neural Networks	May 25, 2019	Language ModellingNeural Architecture Search	—Unverified
Network Pruning via Transformable Architecture Search	May 23, 2019	Knowledge DistillationNetwork Pruning	CodeCode Available
Adaptive Stochastic Natural Gradient Method for One-Shot Neural Architecture Search	May 21, 2019	image-classificationImage Classification	CodeCode Available

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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