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 776–800 of 1915 papers

Title	Date	Tasks	Status	Hype
Multi-trial Neural Architecture Search with Lottery Tickets	Mar 8, 2022	Knowledge DistillationNeural Architecture Search	—Unverified	0
Evolutionary Neural Cascade Search across Supernetworks	Mar 8, 2022	Neural Architecture Search	CodeCode Available	1
A^3D: A Platform of Searching for Robust Neural Architectures and Efficient Adversarial Attacks	Mar 7, 2022	Adversarial AttackAdversarial Defense	—Unverified	0
Adaptive Cross-Layer Attention for Image Restoration	Mar 4, 2022	DemosaickingDenoising	CodeCode Available	1
Improving the Energy Efficiency and Robustness of tinyML Computer Vision using Log-Gradient Input Images	Mar 4, 2022	Neural Architecture SearchQuantization	—Unverified	0
LiteTransformerSearch: Training-free Neural Architecture Search for Efficient Language Models	Mar 4, 2022	DecoderGPU	CodeCode Available	2
WPNAS: Neural Architecture Search by jointly using Weight Sharing and Predictor	Mar 4, 2022	Neural Architecture Search	—Unverified	0
Neural Architecture Search using Progressive Evolution	Mar 3, 2022	Evolutionary AlgorithmsNeural Architecture Search	CodeCode Available	0
Fast Neural Architecture Search for Lightweight Dense Prediction Networks	Mar 3, 2022	Depth EstimationImage Super-Resolution	—Unverified	0
β-DARTS: Beta-Decay Regularization for Differentiable Architecture Search	Mar 3, 2022	Neural Architecture Search	CodeCode Available	1
Embedding Temporal Convolutional Networks for Energy-Efficient PPG-Based Heart Rate Monitoring	Mar 1, 2022	Neural Architecture SearchPhotoplethysmography (PPG)	—Unverified	0
A Primal-Dual Approach to Bilevel Optimization with Multiple Inner Minima	Mar 1, 2022	Bilevel OptimizationHyperparameter Optimization	—Unverified	0
PaSca: a Graph Neural Architecture Search System under the Scalable Paradigm	Mar 1, 2022	Neural Architecture Search	CodeCode Available	1
ONE-NAS: An Online NeuroEvolution based Neural Architecture Search for Time Series Forecasting	Feb 27, 2022	Neural Architecture SearchTime Series	—Unverified	0
An Efficient End-to-End 3D Voxel Reconstruction based on Neural Architecture Search	Feb 27, 2022	Binary ClassificationNeural Architecture Search	CodeCode Available	0
Accelerating Neural Architecture Exploration Across Modalities Using Genetic Algorithms	Feb 25, 2022	Evolutionary Algorithmsimage-classification	—Unverified	0
A Hardware-Aware System for Accelerating Deep Neural Network Optimization	Feb 25, 2022	Bayesian OptimizationEvolutionary Algorithms	—Unverified	0
SUTD-PRCM Dataset and Neural Architecture Search Approach for Complex Metasurface Design	Feb 24, 2022	Benchmarkingimage-classification	—Unverified	0
The Larger The Fairer? Small Neural Networks Can Achieve Fairness for Edge Devices	Feb 23, 2022	Face RecognitionFairness	—Unverified	0
Mixed-Block Neural Architecture Search for Medical Image Segmentation	Feb 23, 2022	Decoderimage-classification	—Unverified	0
Towards Tailored Models on Private AIoT Devices: Federated Direct Neural Architecture Search	Feb 23, 2022	Federated LearningMeta-Learning	—Unverified	0
Bayesian Model Selection, the Marginal Likelihood, and Generalization	Feb 23, 2022	modelModel Selection	CodeCode Available	1
DeepHybrid: Deep Learning on Automotive Radar Spectra and Reflections for Object Classification	Feb 17, 2022	Collision AvoidanceNeural Architecture Search	—Unverified	0
Two-stage architectural fine-tuning with neural architecture search using early-stopping in image classification	Feb 17, 2022	image-classificationImage Classification	—Unverified	0
Neural Architecture Search for Dense Prediction Tasks in Computer Vision	Feb 15, 2022	Neural Architecture Searchobject-detection	—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-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