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 826–850 of 1915 papers

Title	Date	Tasks	Status	Score
AutoST: Training-free Neural Architecture Search for Spiking Transformers	Jul 1, 2023	Neural Architecture Search	CodeCode Available	5
Autoequivariant Network Search via Group Decomposition	Apr 10, 2021	Inductive BiasNeural Architecture Search	CodeCode Available	5
Simultaneous Weight and Architecture Optimization for Neural Networks	Oct 10, 2024	DecoderNetwork Embedding	CodeCode Available	5
Differentiable NAS Framework and Application to Ads CTR Prediction	Oct 25, 2021	Click-Through Rate PredictionNeural Architecture Search	CodeCode Available	5
GreenMachine: Automatic Design of Zero-Cost Proxies for Energy-Efficient NAS	Nov 22, 2024	Neural Architecture Search	CodeCode Available	5
ImmuNetNAS: An Immune-network approach for searching Convolutional Neural Network Architectures	Feb 28, 2020	Neural Architecture Search	CodeCode Available	5
Latency-Aware Differentiable Neural Architecture Search	Jan 17, 2020	Neural Architecture Search	CodeCode Available	5
Reinforced Evolutionary Neural Architecture Search	Aug 1, 2018	Neural Architecture SearchSemantic Segmentation	CodeCode Available	5
Differentiable Mask for Pruning Convolutional and Recurrent Networks	Sep 10, 2019	Model CompressionMulti-Task Learning	—Unverified	0
Differentiable Graph Optimization for Neural Architecture Search	Jan 1, 2021	Bayesian OptimizationGraph Neural Network	—Unverified	0
Differentiable Feature Aggregation Search for Knowledge Distillation	Aug 2, 2020	Knowledge DistillationModel Compression	—Unverified	0
Connection Sensitivity Matters for Training-free DARTS: From Architecture-Level Scoring to Operation-Level Sensitivity Analysis	Jun 22, 2021	Computational EfficiencyNetwork Pruning	—Unverified	0
Differentiable architecture search with multi-dimensional attention for spiking neural networks	Nov 1, 2024	Neural Architecture Search	—Unverified	0
Differentiable Architecture Search with Random Features	Aug 18, 2022	Neural Architecture Search	—Unverified	0
Differentiable Architecture Search with Ensemble Gumbel-Softmax	May 6, 2019	Neural Architecture Search	—Unverified	0
A Novel Framework for Neural Architecture Search in the Hill Climbing Domain	Feb 22, 2021	GPUNeural Architecture Search	—Unverified	0
DiffAutoML: Differentiable Joint Optimization for Efficient End-to-End Automated Machine Learning	Jan 1, 2021	AutoMLBIG-bench Machine Learning	—Unverified	0
DICE: Deep Significance Clustering for Outcome-Aware Stratification	Jan 7, 2021	ClusteringNeural Architecture Search	—Unverified	0
DHA: End-to-End Joint Optimization of Data Augmentation Policy, Hyper-parameter and Architecture	Sep 13, 2021	AutoMLData Augmentation	—Unverified	0
Device-Circuit-Architecture Co-Exploration for Computing-in-Memory Neural Accelerators	Oct 31, 2019	Neural Architecture Search	—Unverified	0
Development of a Neural Network-Based Mathematical Operation Protocol for Embedded Hexadecimal Digits Using Neural Architecture Search (NAS)	Nov 12, 2022	Neural Architecture Search	—Unverified	0
AutoRC: Improving BERT Based Relation Classification Models via Architecture Search	Sep 22, 2020	General ClassificationNeural Architecture Search	—Unverified	0
Anomaly-resistant Graph Neural Networks via Neural Architecture Search	Nov 22, 2021	Graph Neural NetworkNeural Architecture Search	—Unverified	0
An Introduction to Neural Architecture Search for Convolutional Networks	May 22, 2020	Neural Architecture Search	—Unverified	0
Developing Convolutional Neural Networks using a Novel Lamarckian Co-Evolutionary Algorithm	Oct 29, 2024	Classificationimage-classification	—Unverified	0

Show:10 25 50

← PrevPage 34 of 77Next →

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