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 276–300 of 1915 papers

Title	Date	Tasks	Status	Hype	Score
BANANAS: Bayesian Optimization with Neural Architectures for Neural Architecture Search	Oct 25, 2019	Bayesian OptimizationHyperparameter Optimization	CodeCode Available	1	5
BSQ: Exploring Bit-Level Sparsity for Mixed-Precision Neural Network Quantization	Feb 20, 2021	Neural Architecture SearchQuantization	CodeCode Available	1	5
FreeREA: Training-Free Evolution-based Architecture Search	Jun 17, 2022	Neural Architecture Search	CodeCode Available	1	5
Adversarial Branch Architecture Search for Unsupervised Domain Adaptation	Feb 12, 2021	Domain AdaptationModel Selection	CodeCode Available	1	5
AutoSpeech: Neural Architecture Search for Speaker Recognition	May 7, 2020	image-classificationImage Classification	CodeCode Available	1	5
Hierarchical quantum circuit representations for neural architecture search	Oct 26, 2022	Genre classificationMusic Genre Classification	CodeCode Available	1	5
GeNAS: Neural Architecture Search with Better Generalization	May 15, 2023	Neural Architecture Searchobject-detection	CodeCode Available	1	5
Can GPT-4 Perform Neural Architecture Search?	Apr 21, 2023	NavigateNeural Architecture Search	CodeCode Available	1	5
Generic Neural Architecture Search via Regression	Aug 4, 2021	image-classificationImage Classification	CodeCode Available	1	5
Canvas: End-to-End Kernel Architecture Search in Neural Networks	Apr 16, 2023	Neural Architecture Search	CodeCode Available	1	5
GIID-Net: Generalizable Image Inpainting Detection via Neural Architecture Search and Attention	Jan 19, 2021	Image InpaintingNeural Architecture Search	CodeCode Available	1	5
AFter: Attention-based Fusion Router for RGBT Tracking	May 4, 2024	Neural Architecture SearchRgb-T Tracking	CodeCode Available	1	5
Bayesian Model Selection, the Marginal Likelihood, and Generalization	Feb 23, 2022	modelModel Selection	CodeCode Available	1	5
Bayesian Neural Architecture Search using A Training-Free Performance Metric	Jan 29, 2020	Bayesian OptimizationNeural Architecture Search	CodeCode Available	1	5
Are Labels Necessary for Neural Architecture Search?	Mar 26, 2020	Neural Architecture Search	CodeCode Available	1	5
Graph Property Prediction on Open Graph Benchmark: A Winning Solution by Graph Neural Architecture Search	Jul 13, 2022	feature selectionGraph Classification	CodeCode Available	1	5
β-DARTS: Beta-Decay Regularization for Differentiable Architecture Search	Mar 3, 2022	Neural Architecture Search	CodeCode Available	1	5
b-DARTS: Beta-Decay Regularization for Differentiable Architecture Search	Jan 1, 2022	Neural Architecture Search	CodeCode Available	1	5
β-DARTS++: Bi-level Regularization for Proxy-robust Differentiable Architecture Search	Jan 16, 2023	Neural Architecture Search	CodeCode Available	1	5
Hardware-adaptive Efficient Latency Prediction for NAS via Meta-Learning	Dec 1, 2021	Meta-LearningNeural Architecture Search	CodeCode Available	1	5
CM-NAS: Cross-Modality Neural Architecture Search for Visible-Infrared Person Re-Identification	Jan 21, 2021	Neural Architecture SearchPerson Re-Identification	CodeCode Available	1	5
ColdNAS: Search to Modulate for User Cold-Start Recommendation	Jun 6, 2023	Neural Architecture SearchPosition	CodeCode Available	1	5
HAT: Hardware-Aware Transformers for Efficient Natural Language Processing	May 28, 2020	CPUDecoder	CodeCode Available	1	5
Block-Wisely Supervised Neural Architecture Search With Knowledge Distillation	Jun 1, 2020	Knowledge DistillationNeural Architecture Search	CodeCode Available	1	5
EC-NAS: Energy Consumption Aware Tabular Benchmarks for Neural Architecture Search	Oct 12, 2022	Neural Architecture Search	CodeCode Available	1	5

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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