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 1501–1525 of 1915 papers

Title	Date	Tasks	Status
Searching Collaborative Agents for Multi-plane Localization in 3D Ultrasound	Jul 30, 2020	DiagnosticMulti-agent Reinforcement Learning	—Unverified
Efficient OCT Image Segmentation Using Neural Architecture Search	Jul 28, 2020	Image SegmentationNeural Architecture Search	—Unverified
SOTERIA: In Search of Efficient Neural Networks for Private Inference	Jul 25, 2020	Neural Architecture Search	CodeCode Available
What and Where: Learn to Plug Adapters via NAS for Multi-Domain Learning	Jul 24, 2020	Neural Architecture Search	—Unverified
CATCH: Context-based Meta Reinforcement Learning for Transferrable Architecture Search	Jul 18, 2020	Meta-LearningMeta Reinforcement Learning	—Unverified
Neural Architecture Search For LF-MMI Trained Time Delay Neural Networks	Jul 17, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Standing on the Shoulders of Giants: Hardware and Neural Architecture Co-Search with Hot Start	Jul 17, 2020	GPUNeural Architecture Search	CodeCode Available
On Adversarial Robustness: A Neural Architecture Search perspective	Jul 16, 2020	Adversarial RobustnessNeural Architecture Search	CodeCode Available
BRP-NAS: Prediction-based NAS using GCNs	Jul 16, 2020	Neural Architecture SearchPrediction	—Unverified
Finding Non-Uniform Quantization Schemes using Multi-Task Gaussian Processes	Jul 15, 2020	Gaussian ProcessesNeural Architecture Search	CodeCode Available
MS-NAS: Multi-Scale Neural Architecture Search for Medical Image Segmentation	Jul 13, 2020	Image SegmentationMedical Image Segmentation	—Unverified
Multi-Modality Information Fusion for Radiomics-based Neural Architecture Search	Jul 12, 2020	Computed Tomography (CT)Neural Architecture Search	—Unverified
VINNAS: Variational Inference-based Neural Network Architecture Search	Jul 12, 2020	Computational Efficiencyimage-classification	—Unverified
NASGEM: Neural Architecture Search via Graph Embedding Method	Jul 8, 2020	Graph EmbeddingGraph Similarity	—Unverified
Hyperparameter Optimization in Neural Networks via Structured Sparse Recovery	Jul 7, 2020	Hyperparameter OptimizationNeural Architecture Search	—Unverified
Multi-Objective Neural Architecture Search Based on Diverse Structures and Adaptive Recommendation	Jul 6, 2020	GPUNeural Architecture Search	CodeCode Available
Self-supervised Neural Architecture Search	Jul 3, 2020	image-classificationImage Classification	—Unverified
Surrogate-assisted Particle Swarm Optimisation for Evolving Variable-length Transferable Blocks for Image Classification	Jul 3, 2020	General ClassificationGPU	—Unverified
Towards Automated Neural Interaction Discovery for Click-Through Rate Prediction	Jun 29, 2020	Click-Through Rate PredictionLearning-To-Rank	—Unverified
Semi-discrete optimization through semi-discrete optimal transport: a framework for neural architecture search	Jun 26, 2020	Neural Architecture Search	CodeCode Available
Traditional and accelerated gradient descent for neural architecture search	Jun 26, 2020	GPUNeural Architecture Search	CodeCode Available
NASTransfer: Analyzing Architecture Transferability in Large Scale Neural Architecture Search	Jun 23, 2020	Neural Architecture Search	—Unverified
AutoOD: Automated Outlier Detection via Curiosity-guided Search and Self-imitation Learning	Jun 19, 2020	Fraud Detectionimage-classification	—Unverified
Neural Architecture Optimization with Graph VAE	Jun 18, 2020	Computational EfficiencyDecoder	—Unverified
Revealing the Invisible with Model and Data Shrinking for Composite-database Micro-expression Recognition	Jun 17, 2020	Micro Expression RecognitionMicro-Expression Recognition	—Unverified

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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	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	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