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 1376–1400 of 1915 papers

Title	Date	Tasks	Status	Hype
Weight-Sharing Neural Architecture Search: A Battle to Shrink the Optimization Gap	Aug 4, 2020	AutoMLNeural Architecture Search	—Unverified	0
Anti-Bandit Neural Architecture Search for Model Defense	Aug 3, 2020	Denoisingmodel	—Unverified	0
Shape Adaptor: A Learnable Resizing Module	Aug 3, 2020	AutoMLimage-classification	CodeCode Available	1
Evolving Multi-Resolution Pooling CNN for Monaural Singing Voice Separation	Aug 3, 2020	Neural Architecture Search	—Unverified	0
Differentiable Feature Aggregation Search for Knowledge Distillation	Aug 2, 2020	Knowledge DistillationModel Compression	—Unverified	0
S2DNAS: Transforming Static CNN Model for Dynamic Inference via Neural Architecture Search	Aug 1, 2020	Neural Architecture Search	—Unverified	0
Neural Architecture Search in Graph Neural Networks	Jul 31, 2020	Evolutionary AlgorithmsNeural Architecture Search	CodeCode Available	1
Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution	Jul 31, 2020	3D Object Detection3D Semantic Segmentation	CodeCode Available	2
HMCNAS: Neural Architecture Search using Hidden Markov Chains and Bayesian Optimization	Jul 31, 2020	Bayesian OptimizationNeural Architecture Search	—Unverified	0
Neural Architecture Search as Sparse Supernet	Jul 31, 2020	Neural Architecture Search	—Unverified	0
Searching Collaborative Agents for Multi-plane Localization in 3D Ultrasound	Jul 30, 2020	DiagnosticMulti-agent Reinforcement Learning	—Unverified	0
Efficient OCT Image Segmentation Using Neural Architecture Search	Jul 28, 2020	Image SegmentationNeural Architecture Search	—Unverified	0
SOTERIA: In Search of Efficient Neural Networks for Private Inference	Jul 25, 2020	Neural Architecture Search	CodeCode Available	0
What and Where: Learn to Plug Adapters via NAS for Multi-Domain Learning	Jul 24, 2020	Neural Architecture Search	—Unverified	0
Representation Sharing for Fast Object Detector Search and Beyond	Jul 23, 2020	FADGPU	CodeCode Available	1
NSGANetV2: Evolutionary Multi-Objective Surrogate-Assisted Neural Architecture Search	Jul 20, 2020	Image ClassificationNeural Architecture Search	CodeCode Available	1
MCUNet: Tiny Deep Learning on IoT Devices	Jul 20, 2020	BIG-bench Machine LearningDeep Learning	CodeCode Available	1
CATCH: Context-based Meta Reinforcement Learning for Transferrable Architecture Search	Jul 18, 2020	Meta-LearningMeta Reinforcement Learning	—Unverified	0
Off-Policy Reinforcement Learning for Efficient and Effective GAN Architecture Search	Jul 17, 2020	Generative Adversarial NetworkGPU	CodeCode Available	1
Neural Architecture Search For LF-MMI Trained Time Delay Neural Networks	Jul 17, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
Standing on the Shoulders of Giants: Hardware and Neural Architecture Co-Search with Hot Start	Jul 17, 2020	GPUNeural Architecture Search	CodeCode Available	0
BRP-NAS: Prediction-based NAS using GCNs	Jul 16, 2020	Neural Architecture SearchPrediction	—Unverified	0
On Adversarial Robustness: A Neural Architecture Search perspective	Jul 16, 2020	Adversarial RobustnessNeural Architecture Search	CodeCode Available	0
Finding Non-Uniform Quantization Schemes using Multi-Task Gaussian Processes	Jul 15, 2020	Gaussian ProcessesNeural Architecture Search	CodeCode Available	0
MS-NAS: Multi-Scale Neural Architecture Search for Medical Image Segmentation	Jul 13, 2020	Image SegmentationMedical Image Segmentation	—Unverified	0

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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