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 1001–1025 of 1915 papers

Title	Date	Tasks	Status	Hype
BenchENAS: A Benchmarking Platform for Evolutionary Neural Architecture Search	Aug 9, 2021	BenchmarkingGPU	CodeCode Available	0
NASOA: Towards Faster Task-oriented Online Fine-tuning with a Zoo of Models	Aug 7, 2021	Cloud ComputingGPU	—Unverified	0
Learning to Rank Ace Neural Architectures via Normalized Discounted Cumulative Gain	Aug 6, 2021	Learning-To-RankNeural Architecture Search	CodeCode Available	0
Generic Neural Architecture Search via Regression	Aug 4, 2021	image-classificationImage Classification	CodeCode Available	1
Efficient Neural Architecture Search with Performance Prediction	Aug 4, 2021	Neural Architecture SearchPrediction	—Unverified	0
AdvRush: Searching for Adversarially Robust Neural Architectures	Aug 3, 2021	Adversarial RobustnessNeural Architecture Search	CodeCode Available	1
FLASH: Fast Neural Architecture Search with Hardware Optimization	Aug 1, 2021	global-optimizationNeural Architecture Search	—Unverified	0
WAS-VTON: Warping Architecture Search for Virtual Try-on Network	Aug 1, 2021	Neural Architecture SearchVirtual Try-on	—Unverified	0
AutoTinyBERT: Automatic Hyper-parameter Optimization for Efficient Pre-trained Language Models	Jul 29, 2021	Neural Architecture SearchOne-Shot Learning	—Unverified	0
Homogeneous Architecture Augmentation for Neural Predictor	Jul 28, 2021	Neural Architecture Search	CodeCode Available	0
MFAGAN: A Compression Framework for Memory-Efficient On-Device Super-Resolution GAN	Jul 27, 2021	Hardware Aware Neural Architecture SearchImage Super-Resolution	—Unverified	0
Experiments on Properties of Hidden Structures of Sparse Neural Networks	Jul 27, 2021	Neural Architecture SearchPrediction	CodeCode Available	0
μDARTS: Model Uncertainty-Aware Differentiable Architecture Search	Jul 24, 2021	modelNeural Architecture Search	—Unverified	0
LENS: Layer Distribution Enabled Neural Architecture Search in Edge-Cloud Hierarchies	Jul 20, 2021	Neural Architecture Search	—Unverified	0
A Novel Evolutionary Algorithm for Hierarchical Neural Architecture Search	Jul 18, 2021	Neural Architecture Search	CodeCode Available	0
Federated Whole Prostate Segmentation in MRI with Personalized Neural Architectures	Jul 16, 2021	AutoMLFederated Learning	—Unverified	0
Neural Architecture Search using Covariance Matrix Adaptation Evolution Strategy	Jul 15, 2021	GPUNeural Architecture Search	—Unverified	0
Scene-adaptive Knowledge Distillation for Sequential Recommendation via Differentiable Architecture Search	Jul 15, 2021	Knowledge DistillationNeural Architecture Search	—Unverified	0
AutoBERT-Zero: Evolving BERT Backbone from Scratch	Jul 15, 2021	Inductive BiasLanguage Modelling	—Unverified	0
LANA: Latency Aware Network Acceleration	Jul 12, 2021	CPUGPU	—Unverified	0
Core-set Sampling for Efficient Neural Architecture Search	Jul 8, 2021	GPUNeural Architecture Search	—Unverified	0
Does Form Follow Function? An Empirical Exploration of the Impact of Deep Neural Network Architecture Design on Hardware-Specific Acceleration	Jul 8, 2021	FormGPU	—Unverified	0
Bag of Tricks for Neural Architecture Search	Jul 8, 2021	Neural Architecture Search	—Unverified	0
GLiT: Neural Architecture Search for Global and Local Image Transformer	Jul 7, 2021	image-classificationImage Classification	CodeCode Available	1
Uncertainty Modeling of Emerging Device-based Computing-in-Memory Neural Accelerators with Application to Neural Architecture Search	Jul 6, 2021	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-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