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 1501–1525 of 1915 papers

Title	Date	Tasks	Status	Hype
FBNetV2: Differentiable Neural Architecture Search for Spatial and Channel Dimensions	Apr 12, 2020	Neural Architecture Search	CodeCode Available	1
ModuleNet: Knowledge-inherited Neural Architecture Search	Apr 10, 2020	Neural Architecture Search	—Unverified	0
A Neural Architecture Search based Framework for Liquid State Machine Design	Apr 7, 2020	Heuristic SearchNeural Architecture Search	—Unverified	0
Feature Pyramid Grids	Apr 7, 2020	Neural Architecture Searchobject-detection	CodeCode Available	0
Neural Architecture Search for Lightweight Non-Local Networks	Apr 4, 2020	GPUImage Classification	CodeCode Available	1
A Generic Graph-based Neural Architecture Encoding Scheme for Predictor-based NAS	Apr 4, 2020	Neural Architecture Search	—Unverified	0
Neural Architecture Generator Optimization	Apr 3, 2020	Bayesian OptimisationNeural Architecture Search	CodeCode Available	1
Benchmarking Deep Spiking Neural Networks on Neuromorphic Hardware	Apr 3, 2020	BenchmarkingCPU	CodeCode Available	0
MTL-NAS: Task-Agnostic Neural Architecture Search towards General-Purpose Multi-Task Learning	Mar 31, 2020	Multi-Task LearningNeural Architecture Search	CodeCode Available	1
MUXConv: Information Multiplexing in Convolutional Neural Networks	Mar 31, 2020	Computational EfficiencyImage Classification	CodeCode Available	1
Real-Time Semantic Segmentation via Auto Depth, Downsampling Joint Decision and Feature Aggregation	Mar 31, 2020	GPUNeural Architecture Search	—Unverified	0
DHP: Differentiable Meta Pruning via HyperNetworks	Mar 30, 2020	AutoMLDenoising	CodeCode Available	1
Disturbance-immune Weight Sharing for Neural Architecture Search	Mar 29, 2020	Neural Architecture Search	—Unverified	0
CAKES: Channel-wise Automatic KErnel Shrinking for Efficient 3D Networks	Mar 28, 2020	3D Medical Imaging SegmentationAction Recognition	CodeCode Available	1
NPENAS: Neural Predictor Guided Evolution for Neural Architecture Search	Mar 28, 2020	Bayesian OptimizationEvolutionary Algorithms	CodeCode Available	1
MiLeNAS: Efficient Neural Architecture Search via Mixed-Level Reformulation	Mar 27, 2020	Bilevel OptimizationNeural Architecture Search	CodeCode Available	1
DA-NAS: Data Adapted Pruning for Efficient Neural Architecture Search	Mar 27, 2020	GPUNeural Architecture Search	—Unverified	0
Hit-Detector: Hierarchical Trinity Architecture Search for Object Detection	Mar 26, 2020	image-classificationImage Classification	CodeCode Available	1
Are Labels Necessary for Neural Architecture Search?	Mar 26, 2020	Neural Architecture Search	CodeCode Available	1
DCNAS: Densely Connected Neural Architecture Search for Semantic Image Segmentation	Mar 26, 2020	Image SegmentationNeural Architecture Search	—Unverified	0
ASFD: Automatic and Scalable Face Detector	Mar 25, 2020	Neural Architecture Search	—Unverified	0
GreedyNAS: Towards Fast One-Shot NAS with Greedy Supernet	Mar 25, 2020	AllImage Classification	—Unverified	0
BigNAS: Scaling Up Neural Architecture Search with Big Single-Stage Models	Mar 24, 2020	Neural Architecture Search	CodeCode Available	1
Model-based Asynchronous Hyperparameter and Neural Architecture Search	Mar 24, 2020	AutoMLBayesian Optimization	CodeCode Available	3
BS-NAS: Broadening-and-Shrinking One-Shot NAS with Searchable Numbers of Channels	Mar 22, 2020	Neural Architecture Search	—Unverified	0

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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-SDARTS-RS	Accuracy (Test)	46.71	—	Unverified
4	β-RDARTS-L2	Accuracy (Test)	46.71	—	Unverified
5	NAR	Accuracy (Test)	46.66	—	Unverified
6	ASE-NAS+	Accuracy (Val)	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	DARTS (first order)	Top-1 Error Rate	3	—	Unverified
8	NN-MASS- CIFAR-A	Top-1 Error Rate	3	—	Unverified
9	AlphaX-1 (cutout NASNet)	Top-1 Error Rate	2.82	—	Unverified
10	NASGEP	Top-1 Error Rate	2.82	—	Unverified