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 626–650 of 1915 papers

Title	Date	Tasks	Status	Score
Insights from the Use of Previously Unseen Neural Architecture Search Datasets	Apr 2, 2024	Neural Architecture Search	CodeCode Available	5
How does topology of neural architectures impact gradient propagation and model performance?	Jun 16, 2021	Model CompressionNeural Architecture Search	CodeCode Available	5
BenchENAS: A Benchmarking Platform for Evolutionary Neural Architecture Search	Aug 9, 2021	BenchmarkingGPU	CodeCode Available	5
Efficient Incorporation of Multiple Latency Targets in the Once-For-All Network	Dec 12, 2020	AllNetwork Pruning	CodeCode Available	5
Behaviour Distillation	Jun 21, 2024	Continual Learningcontinuous-control	CodeCode Available	5
Efficient hyperparameter optimization by way of PAC-Bayes bound minimization	Aug 14, 2020	Hyperparameter OptimizationNeural Architecture Search	CodeCode Available	5
Hardware Aware Neural Network Architectures using FbNet	Jun 17, 2019	BenchmarkingNeural Architecture Search	CodeCode Available	5
BLOX: Macro Neural Architecture Search Benchmark and Algorithms	Oct 13, 2022	Neural Architecture Search	CodeCode Available	5
Efficient Global Neural Architecture Search	Feb 8, 2025	Face RecognitionImage Classification	CodeCode Available	5
Hardware/Software Co-Exploration of Neural Architectures	Jul 6, 2019	Neural Architecture SearchReinforcement Learning	CodeCode Available	5
Heterogeneous Graph Neural Architecture Search with GPT-4	Dec 14, 2023	Neural Architecture Search	CodeCode Available	5
How to 0wn NAS in Your Spare Time	Feb 17, 2020	CPUDeep Learning	CodeCode Available	5
EmProx: Neural Network Performance Estimation For Neural Architecture Search	Jun 13, 2022	BenchmarkingDecoder	CodeCode Available	5
GreenMachine: Automatic Design of Zero-Cost Proxies for Energy-Efficient NAS	Nov 22, 2024	Neural Architecture Search	CodeCode Available	5
MONAQ: Multi-Objective Neural Architecture Querying for Time-Series Analysis on Resource-Constrained Devices	May 15, 2025	Activity RecognitionCode Generation	CodeCode Available	5
AGNAS: Attention-Guided Micro- and Macro-Architecture Search	Jun 5, 2022	Neural Architecture Search	CodeCode Available	5
Autoequivariant Network Search via Group Decomposition	Apr 10, 2021	Inductive BiasNeural Architecture Search	CodeCode Available	5
Bonsai-Net: One-Shot Neural Architecture Search via Differentiable Pruners	Jun 12, 2020	Neural Architecture Search	CodeCode Available	5
Large Language Model Assisted Adversarial Robustness Neural Architecture Search	Jun 8, 2024	Adversarial RobustnessCombinatorial Optimization	CodeCode Available	5
Encodings for Prediction-based Neural Architecture Search	Mar 4, 2024	Neural Architecture SearchPrediction	CodeCode Available	5
Latency-Aware Differentiable Neural Architecture Search	Jan 17, 2020	Neural Architecture Search	CodeCode Available	5
Efficient Decoupled Neural Architecture Search by Structure and Operation Sampling	Oct 23, 2019	Neural Architecture Searchreinforcement-learning	CodeCode Available	5
GraphPAS: Parallel Architecture Search for Graph Neural Networks	Dec 7, 2021	Neural Architecture Search	CodeCode Available	5
DDPNAS: Efficient Neural Architecture Search via Dynamic Distribution Pruning	May 28, 2019	AutoMLGPU	CodeCode Available	5
Are Neural Architecture Search Benchmarks Well Designed? A Deeper Look Into Operation Importance	Mar 29, 2023	Neural Architecture Search	CodeCode Available	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-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