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 1551–1575 of 1915 papers

Title	Date	Tasks	Status	Hype
Knapsack Pruning with Inner Distillation	Feb 19, 2020	GPUKnowledge Distillation	CodeCode Available	1
Neural Architecture Search For Fault Diagnosis	Feb 19, 2020	Deep LearningFault Diagnosis	—Unverified	0
How to 0wn NAS in Your Spare Time	Feb 17, 2020	CPUDeep Learning	CodeCode Available	0
Federated Neural Architecture Search	Feb 15, 2020	Neural Architecture Search	—Unverified	0
The use of Convolutional Neural Networks for signal-background classification in Particle Physics experiments	Feb 13, 2020	General Classificationimage-classification	—Unverified	0
Training Large Neural Networks with Constant Memory using a New Execution Algorithm	Feb 13, 2020	CPUDistributed Optimization	CodeCode Available	1
Stabilizing Differentiable Architecture Search via Perturbation-based Regularization	Feb 12, 2020	Adversarial AttackNeural Architecture Search	CodeCode Available	1
Best of Both Worlds: AutoML Codesign of a CNN and its Hardware Accelerator	Feb 11, 2020	AutoMLGeneral Classification	—Unverified	0
To Share or Not To Share: A Comprehensive Appraisal of Weight-Sharing	Feb 11, 2020	Neural Architecture Search	CodeCode Available	0
Co-Exploration of Neural Architectures and Heterogeneous ASIC Accelerator Designs Targeting Multiple Tasks	Feb 10, 2020	Neural Architecture Search	—Unverified	0
Variational Depth Search in ResNets	Feb 6, 2020	Neural Architecture Search	CodeCode Available	0
NASS: Optimizing Secure Inference via Neural Architecture Search	Jan 30, 2020	Neural Architecture Search	—Unverified	0
Bayesian Neural Architecture Search using A Training-Free Performance Metric	Jan 29, 2020	Bayesian OptimizationNeural Architecture Search	CodeCode Available	1
NAS-Bench-1Shot1: Benchmarking and Dissecting One-shot Neural Architecture Search	Jan 28, 2020	BenchmarkingNeural Architecture Search	CodeCode Available	1
Learning the Hypotheses Space from data: Learning Space and U-curve Property	Jan 26, 2020	Model SelectionNeural Architecture Search	—Unverified	0
Multi-objective Neural Architecture Search via Non-stationary Policy Gradient	Jan 23, 2020	Neural Architecture SearchReinforcement Learning	—Unverified	0
BNAS:An Efficient Neural Architecture Search Approach Using Broad Scalable Architecture	Jan 18, 2020	Neural Architecture Searchreinforcement-learning	—Unverified	0
Evolutionary Neural Architecture Search for Retinal Vessel Segmentation	Jan 18, 2020	DecoderNeural Architecture Search	—Unverified	0
Building high accuracy emulators for scientific simulations with deep neural architecture search	Jan 17, 2020	Neural Architecture Searchscientific discovery	—Unverified	0
Latency-Aware Differentiable Neural Architecture Search	Jan 17, 2020	Neural Architecture Search	CodeCode Available	0
MixPath: A Unified Approach for One-shot Neural Architecture Search	Jan 16, 2020	AutoMLNeural Architecture Search	CodeCode Available	1
Neural Architecture Search for Deep Image Prior	Jan 14, 2020	DecoderImage Restoration	CodeCode Available	0
AdaBERT: Task-Adaptive BERT Compression with Differentiable Neural Architecture Search	Jan 13, 2020	Knowledge DistillationNeural Architecture Search	CodeCode Available	0
Performance-Oriented Neural Architecture Search	Jan 9, 2020	Edge-computingGPU	—Unverified	0
Fast Neural Network Adaptation via Parameter Remapping and Architecture Search	Jan 8, 2020	image-classificationImage Classification	CodeCode Available	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-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