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 1726–1750 of 1915 papers

Title	Date	Tasks	Status
On the Bounds of Function Approximations	Aug 26, 2019	BIG-bench Machine LearningNeural Architecture Search	—Unverified
Efficient Deep Neural Networks	Aug 20, 2019	Autonomous DrivingDomain Adaptation	—Unverified
Towards Assessing the Impact of Bayesian Optimization's Own Hyperparameters	Aug 19, 2019	Bayesian OptimizationBIG-bench Machine Learning	—Unverified
Neural Architecture Search by Estimation of Network Structure Distributions	Aug 19, 2019	Neural Architecture Search	—Unverified
BOAH: A Tool Suite for Multi-Fidelity Bayesian Optimization & Analysis of Hyperparameters	Aug 16, 2019	Bayesian OptimizationHyperparameter Optimization	CodeCode Available
SCARLET-NAS: Bridging the Gap between Stability and Scalability in Weight-sharing Neural Architecture Search	Aug 16, 2019	AutoMLImage Classification	CodeCode Available
Einconv: Exploring Unexplored Tensor Network Decompositions for Convolutional Neural Networks	Aug 13, 2019	Model CompressionNeural Architecture Search	CodeCode Available
AutoGAN: Neural Architecture Search for Generative Adversarial Networks	Aug 11, 2019	image-classificationImage Classification	CodeCode Available
SqueezeNAS: Fast neural architecture search for faster semantic segmentation	Aug 5, 2019	image-classificationImage Classification	CodeCode Available
MoGA: Searching Beyond MobileNetV3	Aug 4, 2019	AutoMLCPU	CodeCode Available
Particle Swarm Optimisation for Evolving Deep Neural Networks for Image Classification by Evolving and Stacking Transferable Blocks	Jul 29, 2019	ClassificationGeneral Classification	—Unverified
MemNet: Memory-Efficiency Guided Neural Architecture Search with Augment-Trim learning	Jul 22, 2019	Neural Architecture Search	—Unverified
Efficient Novelty-Driven Neural Architecture Search	Jul 22, 2019	GPUNeural Architecture Search	—Unverified
XferNAS: Transfer Neural Architecture Search	Jul 18, 2019	GPUNeural Architecture Search	—Unverified
A Unified Deep Framework for Joint 3D Pose Estimation and Action Recognition from a Single RGB Camera	Jul 16, 2019	3D Human Pose Estimation3D Pose Estimation	—Unverified
Controlling Model Complexity in Probabilistic Model-Based Dynamic Optimization of Neural Network Structures	Jul 15, 2019	modelNeural Architecture Search	—Unverified
PC-DARTS: Partial Channel Connections for Memory-Efficient Architecture Search	Jul 12, 2019	GPUNeural Architecture Search	CodeCode Available
Neural Epitome Search for Architecture-Agnostic Network Compression	Jul 12, 2019	channel selectionModel Compression	—Unverified
Reinforcement Learning with Chromatic Networks for Compact Architecture Search	Jul 10, 2019	Combinatorial OptimizationNeural Architecture Search	—Unverified
EPNAS: Efficient Progressive Neural Architecture Search	Jul 7, 2019	GPUNeural Architecture Search	—Unverified
Hardware/Software Co-Exploration of Neural Architectures	Jul 6, 2019	Neural Architecture SearchReinforcement Learning	CodeCode Available
Genetic Network Architecture Search	Jul 5, 2019	Neural Architecture Search	CodeCode Available
FairNAS: Rethinking Evaluation Fairness of Weight Sharing Neural Architecture Search	Jul 3, 2019	FairnessImage Classification	CodeCode Available
Single-Path Mobile AutoML: Efficient ConvNet Design and NAS Hyperparameter Optimization	Jul 1, 2019	AutoMLGPU	CodeCode Available
Evolving Robust Neural Architectures to Defend from Adversarial Attacks	Jun 27, 2019	Neural Architecture Search	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