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 651–675 of 1915 papers

Title	Date	Tasks	Status	Hype
Tackling Neural Architecture Search With Quality Diversity Optimization	Jul 30, 2022	DiversityNeural Architecture Search	CodeCode Available	0
Evaluating the Practicality of Learned Image Compression	Jul 29, 2022	CPUGPU	—Unverified	0
Neural Architecture Search on Efficient Transformers and Beyond	Jul 28, 2022	Computational Efficiencyimage-classification	—Unverified	0
ALBench: A Framework for Evaluating Active Learning in Object Detection	Jul 27, 2022	Active Learningimage-classification	CodeCode Available	2
Compiler-Aware Neural Architecture Search for On-Mobile Real-time Super-Resolution	Jul 25, 2022	GPUNeural Architecture Search	CodeCode Available	1
Guided Evolutionary Neural Architecture Search With Efficient Performance Estimation	Jul 22, 2022	Neural Architecture Search	—Unverified	0
Hyper-Representations for Pre-Training and Transfer Learning	Jul 22, 2022	Knowledge DistillationNeural Architecture Search	CodeCode Available	1
Efficient Search of Multiple Neural Architectures with Different Complexities via Importance Sampling	Jul 21, 2022	Neural Architecture Search	—Unverified	0
DC-BENCH: Dataset Condensation Benchmark	Jul 20, 2022	AutoMLData Augmentation	CodeCode Available	1
EASNet: Searching Elastic and Accurate Network Architecture for Stereo Matching	Jul 20, 2022	GPUimage-classification	CodeCode Available	0
Improving Neural Architecture Search by Mixing a FireFly algorithm with a Training Free Evaluation	Jul 18, 2022	Neural Architecture Searchvalid	CodeCode Available	0
CLOSE: Curriculum Learning On the Sharing Extent Towards Better One-shot NAS	Jul 16, 2022	Neural Architecture Search	—Unverified	0
NASRec: Weight Sharing Neural Architecture Search for Recommender Systems	Jul 14, 2022	Click-Through Rate PredictionNeural Architecture Search	CodeCode Available	1
PASHA: Efficient HPO and NAS with Progressive Resource Allocation	Jul 14, 2022	BIG-bench Machine LearningHyperparameter Optimization	CodeCode Available	0
MRF-UNets: Searching UNet with Markov Random Fields	Jul 13, 2022	Neural Architecture SearchSemantic Segmentation	CodeCode Available	0
Graph Property Prediction on Open Graph Benchmark: A Winning Solution by Graph Neural Architecture Search	Jul 13, 2022	feature selectionGraph Classification	CodeCode Available	1
UniNet: Unified Architecture Search with Convolution, Transformer, and MLP	Jul 12, 2022	Image ClassificationNeural Architecture Search	CodeCode Available	1
Bi-fidelity Evolutionary Multiobjective Search for Adversarially Robust Deep Neural Architectures	Jul 12, 2022	Adversarial RobustnessMultiobjective Optimization	—Unverified	0
Long-term Reproducibility for Neural Architecture Search	Jul 11, 2022	Neural Architecture Search	CodeCode Available	0
Noisy Heuristics NAS: A Network Morphism based Neural Architecture Search using Heuristics	Jul 10, 2022	Neural Architecture Search	CodeCode Available	0
SuperTickets: Drawing Task-Agnostic Lottery Tickets from Supernets via Jointly Architecture Searching and Parameter Pruning	Jul 8, 2022	Neural Architecture Search	CodeCode Available	1
Betty: An Automatic Differentiation Library for Multilevel Optimization	Jul 5, 2022	GPUHyperparameter Optimization	—Unverified	0
FlowNAS: Neural Architecture Search for Optical Flow Estimation	Jul 4, 2022	image-classificationImage Classification	CodeCode Available	1
Architecture Augmentation for Performance Predictor Based on Graph Isomorphism	Jul 3, 2022	Neural Architecture Search	—Unverified	0
Tree ensemble kernels for Bayesian optimization with known constraints over mixed-feature spaces	Jul 2, 2022	Bayesian OptimizationNeural Architecture Search	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-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