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 376–400 of 1915 papers

Title	Date	Tasks	Status	Hype	Score
ColdNAS: Search to Modulate for User Cold-Start Recommendation	Jun 6, 2023	Neural Architecture SearchPosition	CodeCode Available	1	5
Rethinking Dilated Convolution for Real-time Semantic Segmentation	Nov 18, 2021	DecoderGPU	CodeCode Available	1	5
Rethinking Architecture Selection in Differentiable NAS	Aug 10, 2021	Neural Architecture Search	CodeCode Available	1	5
Multi-conditioned Graph Diffusion for Neural Architecture Search	Mar 9, 2024	Neural Architecture Search	CodeCode Available	1	5
Neural Architecture Search for Joint Human Parsing and Pose Estimation	Jan 1, 2021	DecoderHuman Parsing	CodeCode Available	1	5
Rethinking Neural Operations for Diverse Tasks	Mar 29, 2021	AutoMLImage Classification	CodeCode Available	1	5
Rethinking Performance Estimation in Neural Architecture Search	May 20, 2020	Neural Architecture Search	CodeCode Available	1	5
Sandwich Batch Normalization: A Drop-In Replacement for Feature Distribution Heterogeneity	Feb 22, 2021	Adversarial DefenseConditional Image Generation	CodeCode Available	1	5
FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search	Dec 9, 2018	GPUImage Classification	CodeCode Available	1	5
Compiler-Aware Neural Architecture Search for On-Mobile Real-time Super-Resolution	Jul 25, 2022	GPUNeural Architecture Search	CodeCode Available	1	5
FEAR: A Simple Lightweight Method to Rank Architectures	Jun 7, 2021	Neural Architecture Search	CodeCode Available	1	5
AutoSpace: Neural Architecture Search with Less Human Interference	Mar 22, 2021	Neural Architecture Search	CodeCode Available	0	5
AdvantageNAS: Efficient Neural Architecture Search with Credit Assignment	Dec 11, 2020	Neural Architecture Search	CodeCode Available	0	5
AutoShrink: A Topology-aware NAS for Discovering Efficient Neural Architecture	Nov 21, 2019	GPUimage-classification	CodeCode Available	0	5
A Novel Evolutionary Algorithm for Hierarchical Neural Architecture Search	Jul 18, 2021	Neural Architecture Search	CodeCode Available	0	5
AutoSGNN: Automatic Propagation Mechanism Discovery for Spectral Graph Neural Networks	Dec 17, 2024	Neural Architecture Search	CodeCode Available	0	5
Auto-ReID: Searching for a Part-aware ConvNet for Person Re-Identification	Mar 23, 2019	ClassificationGeneral Classification	CodeCode Available	0	5
Learning to Rank Ace Neural Architectures via Normalized Discounted Cumulative Gain	Aug 6, 2021	Learning-To-RankNeural Architecture Search	CodeCode Available	0	5
A Downsampled Variant of ImageNet as an Alternative to the CIFAR datasets	Jul 27, 2017	Image ClassificationNeural Architecture Search	CodeCode Available	0	5
HYBRIDFORMER: improving SqueezeFormer with hybrid attention and NSR mechanism	Mar 15, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	0	5
HourNAS: Extremely Fast Neural Architecture Search Through an Hourglass Lens	May 29, 2020	GPUNeural Architecture Search	CodeCode Available	0	5
How does topology of neural architectures impact gradient propagation and model performance?	Jun 16, 2021	Model CompressionNeural Architecture Search	CodeCode Available	0	5
AutoPose: Searching Multi-Scale Branch Aggregation for Pose Estimation	Aug 16, 2020	2D Human Pose EstimationGPU	CodeCode Available	0	5
Homogeneous Architecture Augmentation for Neural Predictor	Jul 28, 2021	Neural Architecture Search	CodeCode Available	0	5
How to 0wn NAS in Your Spare Time	Feb 17, 2020	CPUDeep Learning	CodeCode Available	0	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