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 126–150 of 1915 papers

Title	Date	Tasks	Status	Hype
Q-PPG: Energy-Efficient PPG-based Heart Rate Monitoring on Wearable Devices	Mar 24, 2022	Neural Architecture SearchPhotoplethysmography (PPG)	CodeCode Available	1
PACE: A Parallelizable Computation Encoder for Directed Acyclic Graphs	Mar 19, 2022	Neural Architecture Search	CodeCode Available	1
Global Convergence of MAML and Theory-Inspired Neural Architecture Search for Few-Shot Learning	Mar 17, 2022	Few-Shot LearningMeta-Learning	CodeCode Available	1
DATA: Domain-Aware and Task-Aware Self-supervised Learning	Mar 17, 2022	image-classificationImage Classification	CodeCode Available	1
Learning Where To Look -- Generative NAS is Surprisingly Efficient	Mar 16, 2022	Neural Architecture Search	CodeCode Available	1
Towards Less Constrained Macro-Neural Architecture Search	Mar 10, 2022	GPUNeural Architecture Search	CodeCode Available	1
Evolutionary Neural Cascade Search across Supernetworks	Mar 8, 2022	Neural Architecture Search	CodeCode Available	1
Adaptive Cross-Layer Attention for Image Restoration	Mar 4, 2022	DemosaickingDenoising	CodeCode Available	1
β-DARTS: Beta-Decay Regularization for Differentiable Architecture Search	Mar 3, 2022	Neural Architecture Search	CodeCode Available	1
PaSca: a Graph Neural Architecture Search System under the Scalable Paradigm	Mar 1, 2022	Neural Architecture Search	CodeCode Available	1
Bayesian Model Selection, the Marginal Likelihood, and Generalization	Feb 23, 2022	modelModel Selection	CodeCode Available	1
AutoSNN: Towards Energy-Efficient Spiking Neural Networks	Jan 30, 2022	Neural Architecture Search	CodeCode Available	1
Generalized Global Ranking-Aware Neural Architecture Ranker for Efficient Image Classifier Search	Jan 30, 2022	Neural Architecture SearchReinforcement Learning (RL)	CodeCode Available	1
Neural Architecture Search for Spiking Neural Networks	Jan 23, 2022	Neural Architecture Search	CodeCode Available	1
NAS-VAD: Neural Architecture Search for Voice Activity Detection	Jan 22, 2022	Action DetectionActivity Detection	CodeCode Available	1
Automated Graph Machine Learning: Approaches, Libraries, Benchmarks and Directions	Jan 4, 2022	BIG-bench Machine LearningGraph Learning	CodeCode Available	1
b-DARTS: Beta-Decay Regularization for Differentiable Architecture Search	Jan 1, 2022	Neural 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
Scale-Aware Neural Architecture Search for Multivariate Time Series Forecasting	Dec 14, 2021	Graph LearningMultivariate Time Series Forecasting	CodeCode Available	1
Aligned Structured Sparsity Learning for Efficient Image Super-Resolution	Dec 1, 2021	Image Super-ResolutionKnowledge Distillation	CodeCode Available	1
Hardware-adaptive Efficient Latency Prediction for NAS via Meta-Learning	Dec 1, 2021	Meta-LearningNeural Architecture Search	CodeCode Available	1
EAGAN: Efficient Two-stage Evolutionary Architecture Search for GANs	Nov 30, 2021	GPUImage Generation	CodeCode Available	1
Searching the Search Space of Vision Transformer	Nov 29, 2021	Neural Architecture Searchobject-detection	CodeCode Available	1
TransWeather: Transformer-based Restoration of Images Degraded by Adverse Weather Conditions	Nov 29, 2021	AllDecoder	CodeCode Available	1
ISNAS-DIP: Image-Specific Neural Architecture Search for Deep Image Prior	Nov 27, 2021	DenoisingImage Denoising	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-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