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 951–975 of 1915 papers

Title	Date	Tasks	Status	Hype
AutoInit: Analytic Signal-Preserving Weight Initialization for Neural Networks	Sep 18, 2021	Meta-LearningNeural Architecture Search	CodeCode Available	1
SpeechNAS: Towards Better Trade-off between Latency and Accuracy for Large-Scale Speaker Verification	Sep 18, 2021	Neural Architecture SearchSpeaker Recognition	CodeCode Available	1
Self-Supervised Neural Architecture Search for Imbalanced Datasets	Sep 17, 2021	GPUNeural Architecture Search	CodeCode Available	0
Forecasting of COVID-19 Cases, Using an Evolutionary Neural Architecture Search Approach	Sep 15, 2021	Neural Architecture Search	—Unverified	0
Neural Architecture Search in operational context: a remote sensing case-study	Sep 15, 2021	Autonomous DrivingImage Segmentation	—Unverified	0
RankNAS: Efficient Neural Architecture Search by Pairwise Ranking	Sep 15, 2021	Language ModelingLanguage Modelling	—Unverified	0
Pareto-wise Ranking Classifier for Multi-objective Evolutionary Neural Architecture Search	Sep 14, 2021	Neural Architecture Search	—Unverified	0
Hardware-aware Real-time Myocardial Segmentation Quality Control in Contrast Echocardiography	Sep 14, 2021	Hardware Aware Neural Architecture SearchNeural Architecture Search	—Unverified	0
AdaPruner: Adaptive Channel Pruning and Effective Weights Inheritance	Sep 14, 2021	image-classificationImage Classification	—Unverified	0
DHA: End-to-End Joint Optimization of Data Augmentation Policy, Hyper-parameter and Architecture	Sep 13, 2021	AutoMLData Augmentation	—Unverified	0
RADARS: Memory Efficient Reinforcement Learning Aided Differentiable Neural Architecture Search	Sep 13, 2021	GPUNeural Architecture Search	—Unverified	0
Domain Adaptation by Maximizing Population Correlation with Neural Architecture Search	Sep 12, 2021	Domain AdaptationNeural Architecture Search	—Unverified	0
RobustART: Benchmarking Robustness on Architecture Design and Training Techniques	Sep 11, 2021	Adversarial RobustnessBenchmarking	CodeCode Available	1
ReconfigISP: Reconfigurable Camera Image Processing Pipeline	Sep 10, 2021	Image RestorationNeural Architecture Search	CodeCode Available	1
RepNAS: Searching for Efficient Re-parameterizing Blocks	Sep 8, 2021	Neural Architecture Search	CodeCode Available	1
Neural Ensemble Search via Bayesian Sampling	Sep 6, 2021	Adversarial DefenseNeural Architecture Search	—Unverified	0
Automated Robustness with Adversarial Training as a Post-Processing Step	Sep 6, 2021	ClassificationDeep Learning	—Unverified	0
NAS-OoD: Neural Architecture Search for Out-of-Distribution Generalization	Sep 5, 2021	Domain GeneralizationNeural Architecture Search	CodeCode Available	1
ISyNet: Convolutional Neural Networks design for AI accelerator	Sep 4, 2021	Image ClassificationNeural Architecture Search	CodeCode Available	0
Edge-featured Graph Neural Architecture Search	Sep 3, 2021	Neural Architecture Search	—Unverified	0
NASI: Label- and Data-agnostic Neural Architecture Search at Initialization	Sep 2, 2021	Neural Architecture Search	—Unverified	0
Searching for Efficient Multi-Stage Vision Transformers	Sep 1, 2021	Neural Architecture Search	CodeCode Available	1
Searching for Two-Stream Models in Multivariate Space for Video Recognition	Aug 30, 2021	Neural Architecture SearchVideo Recognition	—Unverified	0
Analyzing and Mitigating Interference in Neural Architecture Search	Aug 29, 2021	Neural Architecture SearchReading Comprehension	—Unverified	0
StressNAS: Affect State and Stress Detection Using Neural Architecture Search	Aug 26, 2021	Decision MakingNeural Architecture Search	—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-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