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 1626–1650 of 1915 papers

Title	Date	Tasks	Status	Hype
AutoShrink: A Topology-aware NAS for Discovering Efficient Neural Architecture	Nov 21, 2019	GPUimage-classification	CodeCode Available	0
Search to Distill: Pearls are Everywhere but not the Eyes	Nov 20, 2019	Ensemble LearningFace Recognition	—Unverified	0
Hybrid Composition with IdleBlock: More Efficient Networks for Image Recognition	Nov 19, 2019	Neural Architecture Search	—Unverified	0
ImmuNeCS: Neural Committee Search by an Artificial Immune System	Nov 18, 2019	GPUNeural Architecture Search	—Unverified	0
Fine-Grained Neural Architecture Search	Nov 18, 2019	image-classificationImage Classification	—Unverified	0
Interstellar: Searching Recurrent Architecture for Knowledge Graph Embedding	Nov 17, 2019	Graph EmbeddingKnowledge Graph Embedding	CodeCode Available	1
S2DNAS:Transforming Static CNN Model for Dynamic Inference via Neural Architecture Search	Nov 16, 2019	Neural Architecture SearchReinforcement Learning	—Unverified	0
Automatic Design of CNNs via Differentiable Neural Architecture Search for PolSAR Image Classification	Nov 16, 2019	Feature EngineeringGeneral Classification	—Unverified	0
Neural Architecture Search for Natural Language Understanding	Nov 11, 2019	AvgLanguage Modeling	—Unverified	0
Learning Graph Convolutional Network for Skeleton-based Human Action Recognition by Neural Searching	Nov 11, 2019	Action RecognitionNeural Architecture Search	CodeCode Available	0
Periodic Spectral Ergodicity: A Complexity Measure for Deep Neural Networks and Neural Architecture Search	Nov 10, 2019	Neural Architecture Search	CodeCode Available	1
Learning to reinforcement learn for Neural Architecture Search	Nov 9, 2019	Meta-LearningNeural Architecture Search	CodeCode Available	0
RAPDARTS: Resource-Aware Progressive Differentiable Architecture Search	Nov 8, 2019	Neural Architecture Search	—Unverified	0
Auptimizer -- an Extensible, Open-Source Framework for Hyperparameter Tuning	Nov 6, 2019	ARCBIG-bench Machine Learning	CodeCode Available	0
Improved Differentiable Architecture Search for Language Modeling and Named Entity Recognition	Nov 1, 2019	Language ModelingLanguage Modelling	CodeCode Available	0
On Neural Architecture Search for Resource-Constrained Hardware Platforms	Oct 31, 2019	Neural Architecture SearchQuantization	—Unverified	0
Device-Circuit-Architecture Co-Exploration for Computing-in-Memory Neural Accelerators	Oct 31, 2019	Neural Architecture Search	—Unverified	0
NAT: Neural Architecture Transformer for Accurate and Compact Architectures	Oct 31, 2019	Neural Architecture SearchReinforcement Learning	CodeCode Available	1
Fast Hardware-Aware Neural Architecture Search	Oct 25, 2019	CPUDiversity	—Unverified	0
BANANAS: Bayesian Optimization with Neural Architectures for Neural Architecture Search	Oct 25, 2019	Bayesian OptimizationHyperparameter Optimization	CodeCode Available	1
Stabilizing DARTS with Amended Gradient Estimation on Architectural Parameters	Oct 25, 2019	Neural Architecture Search	CodeCode Available	0
Efficient Decoupled Neural Architecture Search by Structure and Operation Sampling	Oct 23, 2019	Neural Architecture Searchreinforcement-learning	CodeCode Available	0
NASIB: Neural Architecture Search withIn Budget	Oct 19, 2019	GPUimage-classification	—Unverified	0
Structural Analysis of Sparse Neural Networks	Oct 16, 2019	Neural Architecture Search	—Unverified	0
One-Shot Neural Architecture Search via Self-Evaluated Template Network	Oct 13, 2019	Neural Architecture Search	CodeCode Available	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