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 251–275 of 1915 papers

Title	Date	Tasks	Status	Hype
deepstruct -- linking deep learning and graph theory	Nov 12, 2021	Deep LearningNeural Architecture Search	CodeCode Available	1
Interpretable Neural Architecture Search via Bayesian Optimisation with Weisfeiler-Lehman Kernels	Jun 13, 2020	Bayesian OptimisationNeural Architecture Search	CodeCode Available	1
AutoSNN: Towards Energy-Efficient Spiking Neural Networks	Jan 30, 2022	Neural Architecture Search	CodeCode Available	1
ChamNet: Towards Efficient Network Design through Platform-Aware Model Adaptation	Dec 21, 2018	Bayesian OptimizationCPU	CodeCode Available	1
Contrastive Neural Architecture Search with Neural Architecture Comparators	Mar 8, 2021	Neural Architecture Search	CodeCode Available	1
Cross Task Neural Architecture Search for EEG Signal Classifications	Oct 1, 2022	Brain Computer InterfaceEEG	CodeCode Available	1
Construction of Hierarchical Neural Architecture Search Spaces based on Context-free Grammars	Nov 3, 2022	AutoMLBayesian Optimization	CodeCode Available	1
BANANAS: Bayesian Optimization with Neural Architectures for Neural Architecture Search	Oct 25, 2019	Bayesian OptimizationHyperparameter Optimization	CodeCode Available	1
Contrastive Embeddings for Neural Architectures	Feb 8, 2021	Contrastive LearningNeural Architecture Search	CodeCode Available	1
Cyclic Differentiable Architecture Search	Jun 18, 2020	Neural Architecture Search	CodeCode Available	1
ColdNAS: Search to Modulate for User Cold-Start Recommendation	Jun 6, 2023	Neural Architecture SearchPosition	CodeCode Available	1
ConvNet Architecture Search for Spatiotemporal Feature Learning	Aug 16, 2017	Action ClassificationAction Recognition	CodeCode Available	1
AOWS: Adaptive and optimal network width search with latency constraints	May 21, 2020	Neural Architecture Search	CodeCode Available	1
Bayesian Neural Architecture Search using A Training-Free Performance Metric	Jan 29, 2020	Bayesian OptimizationNeural Architecture Search	CodeCode Available	1
DARTS-: Robustly Stepping out of Performance Collapse Without Indicators	Sep 2, 2020	AutoMLNeural Architecture Search	CodeCode Available	1
DataDAM: Efficient Dataset Distillation with Attention Matching	Sep 29, 2023	Continual LearningDataset Distillation	CodeCode Available	1
AdvRush: Searching for Adversarially Robust Neural Architectures	Aug 3, 2021	Adversarial RobustnessNeural Architecture Search	CodeCode Available	1
Bayesian Model Selection, the Marginal Likelihood, and Generalization	Feb 23, 2022	modelModel Selection	CodeCode Available	1
CM-NAS: Cross-Modality Neural Architecture Search for Visible-Infrared Person Re-Identification	Jan 21, 2021	Neural Architecture SearchPerson Re-Identification	CodeCode Available	1
Bag of Baselines for Multi-objective Joint Neural Architecture Search and Hyperparameter Optimization	May 3, 2021	AutoMLHyperparameter Optimization	CodeCode Available	1
β-DARTS: Beta-Decay Regularization for Differentiable Architecture Search	Mar 3, 2022	Neural Architecture Search	CodeCode Available	1
β-DARTS++: Bi-level Regularization for Proxy-robust Differentiable Architecture Search	Jan 16, 2023	Neural Architecture Search	CodeCode Available	1
Designing Novel Cognitive Diagnosis Models via Evolutionary Multi-Objective Neural Architecture Search	Jul 10, 2023	cognitive diagnosisNeural Architecture Search	CodeCode Available	1
Designing the Topology of Graph Neural Networks: A Novel Feature Fusion Perspective	Dec 29, 2021	feature selectionNeural Architecture Search	CodeCode Available	1
Adversarial Branch Architecture Search for Unsupervised Domain Adaptation	Feb 12, 2021	Domain AdaptationModel Selection	CodeCode Available	1

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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	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	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