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 351–375 of 1915 papers

Title	Date	Tasks	Status	Hype	Score
AttentiveNAS: Improving Neural Architecture Search via Attentive Sampling	Nov 18, 2020	Neural Architecture Search	CodeCode Available	1	5
Efficient Neural Architecture Search via Parameter Sharing	Feb 9, 2018	GPULanguage Modelling	CodeCode Available	1	5
Aligned Structured Sparsity Learning for Efficient Image Super-Resolution	Dec 1, 2021	Image Super-ResolutionKnowledge Distillation	CodeCode Available	1	5
EfficientPose: Efficient Human Pose Estimation with Neural Architecture Search	Dec 13, 2020	image-classificationImage Classification	CodeCode Available	1	5
Accelerating Evolutionary Neural Architecture Search via Multi-Fidelity Evaluation	Aug 10, 2021	GPUNeural Architecture Search	CodeCode Available	1	5
EH-DNAS: End-to-End Hardware-aware Differentiable Neural Architecture Search	Nov 24, 2021	BenchmarkingNeural Architecture Search	CodeCode Available	1	5
CATE: Computation-aware Neural Architecture Encoding with Transformers	Feb 14, 2021	AutoMLNeural Architecture Search	CodeCode Available	1	5
Off-Policy Reinforcement Learning for Efficient and Effective GAN Architecture Search	Jul 17, 2020	Generative Adversarial NetworkGPU	CodeCode Available	1	5
Searching a Compact Architecture for Robust Multi-Exposure Image Fusion	May 20, 2023	Multi-Exposure Image FusionNeural Architecture Search	CodeCode Available	1	5
Equivalence in Deep Neural Networks via Conjugate Matrix Ensembles	Jun 14, 2020	Neural Architecture Search	CodeCode Available	1	5
ChamNet: Towards Efficient Network Design through Platform-Aware Model Adaptation	Dec 21, 2018	Bayesian OptimizationCPU	CodeCode Available	1	5
emoDARTS: Joint Optimisation of CNN & Sequential Neural Network Architectures for Superior Speech Emotion Recognition	Mar 21, 2024	Emotion RecognitionNeural Architecture Search	CodeCode Available	1	5
AlphaNet: Improved Training of Supernets with Alpha-Divergence	Feb 16, 2021	Image ClassificationNeural Architecture Search	CodeCode Available	1	5
EPE-NAS: Efficient Performance Estimation Without Training for Neural Architecture Search	Feb 16, 2021	GPUNeural Architecture Search	CodeCode Available	1	5
Enhancing Neural Architecture Search with Multiple Hardware Constraints for Deep Learning Model Deployment on Tiny IoT Devices	Oct 11, 2023	Neural Architecture Search	CodeCode Available	1	5
EC-NAS: Energy Consumption Aware Tabular Benchmarks for Neural Architecture Search	Oct 12, 2022	Neural Architecture Search	CodeCode Available	1	5
CLEARER: Multi-Scale Neural Architecture Search for Image Restoration	Dec 1, 2020	DenoisingGPU	CodeCode Available	1	5
Neural Architecture Search using Deep Neural Networks and Monte Carlo Tree Search	May 18, 2018	GPUImage Captioning	CodeCode Available	1	5
Partially-Connected Differentiable Architecture Search for Deepfake and Spoofing Detection	Apr 7, 2021	Face SwappingGPU	CodeCode Available	1	5
CM-NAS: Cross-Modality Neural Architecture Search for Visible-Infrared Person Re-Identification	Jan 21, 2021	Neural Architecture SearchPerson Re-Identification	CodeCode Available	1	5
NAS-OoD: Neural Architecture Search for Out-of-Distribution Generalization	Sep 5, 2021	Domain GeneralizationNeural Architecture Search	CodeCode Available	1	5
Evolutionary Neural Cascade Search across Supernetworks	Mar 8, 2022	Neural Architecture Search	CodeCode Available	1	5
Evolutionary Neural AutoML for Deep Learning	Feb 18, 2019	AutoMLDeep Learning	CodeCode Available	1	5
Evolutionary Neural Architecture Search for Transformer in Knowledge Tracing	Oct 2, 2023	feature selectionKnowledge Tracing	CodeCode Available	1	5
Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets	Jul 2, 2021	GPUMeta-Learning	CodeCode Available	1	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-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