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 1426–1450 of 1915 papers

Title	Date	Tasks	Status	Hype
DrNAS: Dirichlet Neural Architecture Search	Jun 18, 2020	Neural Architecture Search	CodeCode Available	1
Cyclic Differentiable Architecture Search	Jun 18, 2020	Neural Architecture Search	CodeCode Available	1
Fine-Grained Stochastic Architecture Search	Jun 17, 2020	Neural Architecture Searchobject-detection	CodeCode Available	2
Revealing the Invisible with Model and Data Shrinking for Composite-database Micro-expression Recognition	Jun 17, 2020	Micro Expression RecognitionMicro-Expression Recognition	—Unverified	0
Differentially-private Federated Neural Architecture Search	Jun 16, 2020	Neural Architecture Search	CodeCode Available	0
Fine-Tuning DARTS for Image Classification	Jun 16, 2020	ClassificationFine-Grained Image Classification	—Unverified	0
Differentiable Neural Architecture Transformation for Reproducible Architecture Improvement	Jun 15, 2020	Neural Architecture Search	—Unverified	0
Multi-fidelity Neural Architecture Search with Knowledge Distillation	Jun 15, 2020	Knowledge DistillationNeural Architecture Search	CodeCode Available	0
Neural Ensemble Search for Uncertainty Estimation and Dataset Shift	Jun 15, 2020	AutoMLDiversity	CodeCode Available	1
Inner Ensemble Networks: Average Ensemble as an Effective Regularizer	Jun 15, 2020	Neural Architecture Search	CodeCode Available	0
Equivalence in Deep Neural Networks via Conjugate Matrix Ensembles	Jun 14, 2020	Neural Architecture Search	CodeCode Available	1
Optimal Transport Kernels for Sequential and Parallel Neural Architecture Search	Jun 13, 2020	Neural Architecture Search	CodeCode Available	0
Interpretable Neural Architecture Search via Bayesian Optimisation with Weisfeiler-Lehman Kernels	Jun 13, 2020	Bayesian OptimisationNeural Architecture Search	CodeCode Available	1
Bonsai-Net: One-Shot Neural Architecture Search via Differentiable Pruners	Jun 12, 2020	Neural Architecture Search	CodeCode Available	0
NAS-Bench-NLP: Neural Architecture Search Benchmark for Natural Language Processing	Jun 12, 2020	Language ModelingLanguage Modelling	CodeCode Available	1
Does Unsupervised Architecture Representation Learning Help Neural Architecture Search?	Jun 12, 2020	AutoMLNeural Architecture Search	CodeCode Available	1
Few-shot Neural Architecture Search	Jun 11, 2020	Neural Architecture SearchTransfer Learning	CodeCode Available	1
Adjoined Networks: A Training Paradigm with Applications to Network Compression	Jun 10, 2020	Knowledge DistillationNeural Architecture Search	CodeCode Available	1
AMEIR: Automatic Behavior Modeling, Interaction Exploration and MLP Investigation in the Recommender System	Jun 10, 2020	Feature EngineeringNeural Architecture Search	—Unverified	0
Dataset Condensation with Gradient Matching	Jun 10, 2020	Continual LearningDataset Condensation	CodeCode Available	1
Knowledge Distillation: A Survey	Jun 9, 2020	Knowledge DistillationModel Compression	—Unverified	0
Speedy Performance Estimation for Neural Architecture Search	Jun 8, 2020	Model SelectionNeural Architecture Search	CodeCode Available	0
Neural Architecture Search without Training	Jun 8, 2020	GPUNeural Architecture Search	CodeCode Available	1
Efficient Architecture Search for Continual Learning	Jun 7, 2020	Continual LearningNeural Architecture Search	—Unverified	0
Conditional Neural Architecture Search	Jun 6, 2020	Neural 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-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