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 1626–1650 of 1915 papers

Title	Date	Tasks	Status
Computation Reallocation for Object Detection	Dec 24, 2019	Instance SegmentationNeural Architecture Search	—Unverified
BETANAS: BalancEd TrAining and selective drop for Neural Architecture Search	Dec 24, 2019	Neural Architecture Search	—Unverified
FasterSeg: Searching for Faster Real-time Semantic Segmentation	Dec 23, 2019	Neural Architecture SearchReal-Time Semantic Segmentation	CodeCode Available
TextNAS: A Neural Architecture Search Space tailored for Text Representation	Dec 23, 2019	General ClassificationNatural Language Inference	—Unverified
Progressive DARTS: Bridging the Optimization Gap for NAS in the Wild	Dec 23, 2019	GPUNeural Architecture Search	CodeCode Available
C2FNAS: Coarse-to-Fine Neural Architecture Search for 3D Medical Image Segmentation	Dec 20, 2019	Image SegmentationMedical Image Segmentation	—Unverified
Learning to Prevent Leakage: Privacy-Preserving Inference in the Mobile Cloud	Dec 18, 2019	Neural Architecture SearchPrivacy Preserving	—Unverified
Generative Teaching Networks: Accelerating Neural Architecture Search by Learning to Generate Synthetic Training Data	Dec 17, 2019	Neural Architecture SearchReinforcement Learning	CodeCode Available
UNAS: Differentiable Architecture Search Meets Reinforcement Learning	Dec 16, 2019	Neural Architecture Searchreinforcement-learning	CodeCode Available
PreVIous: A Methodology for Prediction of Visual Inference Performance on IoT Devices	Dec 13, 2019	Neural Architecture Search	CodeCode Available
Grid Search, Random Search, Genetic Algorithm: A Big Comparison for NAS	Dec 12, 2019	Hyperparameter OptimizationNeural Architecture Search	—Unverified
Leveraging End-to-End Speech Recognition with Neural Architecture Search	Dec 11, 2019	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
A Variational-Sequential Graph Autoencoder for Neural Architecture Performance Prediction	Dec 11, 2019	Neural Architecture SearchPrediction	CodeCode Available
Efficient Differentiable Neural Architecture Search with Meta Kernels	Dec 10, 2019	Neural Architecture Search	—Unverified
SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization	Dec 10, 2019	Image ClassificationInstance Segmentation	CodeCode Available
Ultrafast Photorealistic Style Transfer via Neural Architecture Search	Dec 5, 2019	Network PruningNeural Architecture Search	—Unverified
AdversarialNAS: Adversarial Neural Architecture Search for GANs	Dec 4, 2019	GPUImage Generation	CodeCode Available
EDAS: Efficient and Differentiable Architecture Search	Dec 3, 2019	GPUNeural Architecture Search	—Unverified
DEGAS: Differentiable Efficient Generator Search	Dec 2, 2019	Image GenerationNeural Architecture Search	—Unverified
Neural Predictor for Neural Architecture Search	Dec 2, 2019	Neural Architecture Searchregression	CodeCode Available
ExperienceThinking: Constrained Hyperparameter Optimization based on Knowledge and Pruning	Dec 2, 2019	BIG-bench Machine LearningHyperparameter Optimization	—Unverified
Exploring Unexplored Tensor Network Decompositions for Convolutional Neural Networks	Dec 1, 2019	Model CompressionNeural Architecture Search	CodeCode Available
Efficient Neural Architecture Transformation Search in Channel-Level for Object Detection	Dec 1, 2019	image-classificationImage Classification	—Unverified
MetAdapt: Meta-Learned Task-Adaptive Architecture for Few-Shot Classification	Dec 1, 2019	ClassificationFew-Shot Learning	—Unverified
DATA: Differentiable ArchiTecture Approximation	Dec 1, 2019	image-classificationImage Classification	CodeCode Available

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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