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 1826–1850 of 1915 papers

Title	Date	Tasks	Status
Random Search and Reproducibility for Neural Architecture Search	Feb 20, 2019	Hyperparameter OptimizationNeural Architecture Search	CodeCode Available
Fast Task-Aware Architecture Inference	Feb 15, 2019	Computational EfficiencyNeural Architecture Search	—Unverified
Probabilistic Neural Architecture Search	Feb 13, 2019	Neural Architecture Search	—Unverified
FSNet: Compression of Deep Convolutional Neural Networks by Filter Summary	Feb 8, 2019	General Classificationimage-classification	—Unverified
DVOLVER: Efficient Pareto-Optimal Neural Network Architecture Search	Feb 5, 2019	Neural Architecture Search	CodeCode Available
An Empirical Study on Regularization of Deep Neural Networks by Local Rademacher Complexity	Feb 3, 2019	Neural Architecture Search	—Unverified
Learnable Embedding Space for Efficient Neural Architecture Compression	Feb 1, 2019	Bayesian OptimizationNeural Architecture Search	CodeCode Available
Combinatorial Bayesian Optimization using the Graph Cartesian Product	Feb 1, 2019	Bayesian OptimizationNeural Architecture Search	CodeCode Available
Accuracy vs. Efficiency: Achieving Both through FPGA-Implementation Aware Neural Architecture Search	Jan 31, 2019	Neural Architecture SearchReinforcement Learning	—Unverified
The Evolved Transformer	Jan 30, 2019	Machine TranslationNeural Architecture Search	CodeCode Available
Fast, Accurate and Lightweight Super-Resolution with Neural Architecture Search	Jan 22, 2019	Neural Architecture SearchReinforcement Learning	CodeCode Available
CAE-ADMM: Implicit Bitrate Optimization via ADMM-based Pruning in Compressive Autoencoders	Jan 22, 2019	Image CompressionMS-SSIM	CodeCode Available
EAT-NAS: Elastic Architecture Transfer for Accelerating Large-scale Neural Architecture Search	Jan 17, 2019	Neural Architecture Search	CodeCode Available
Bayesian Learning of Neural Network Architectures	Jan 14, 2019	Neural Architecture Search	CodeCode Available
Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation	Jan 10, 2019	GPUimage-classification	CodeCode Available
Multi-Objective Reinforced Evolution in Mobile Neural Architecture Search	Jan 4, 2019	image-classificationImage Classification	CodeCode Available
Sample-Efficient Neural Architecture Search by Learning Action Space for Monte Carlo Tree Search	Jan 1, 2019	Evolutionary AlgorithmsImage Classification	—Unverified
Katib: A Distributed General AutoML Platform on Kubernetes	Jan 1, 2019	AutoMLHyperparameter Optimization	—Unverified
Neural Architecture Search Over a Graph Search Space	Dec 27, 2018	image-classificationImage Classification	—Unverified
Meta Architecture Search	Dec 22, 2018	Bayesian InferenceFew-Shot Learning	CodeCode Available
SQuantizer: Simultaneous Learning for Both Sparse and Low-precision Neural Networks	Dec 20, 2018	Machine TranslationNeural Architecture Search	—Unverified
A Review of Meta-Reinforcement Learning for Deep Neural Networks Architecture Search	Dec 17, 2018	General ClassificationMeta Reinforcement Learning	—Unverified
Evolutionary Neural Architecture Search for Image Restoration	Dec 14, 2018	GPUimage-classification	—Unverified
IRLAS: Inverse Reinforcement Learning for Architecture Search	Dec 13, 2018	Neural Architecture Searchreinforcement-learning	CodeCode Available
ShuffleNASNets: Efficient CNN models through modified Efficient Neural Architecture Search	Dec 7, 2018	General ClassificationNeural Architecture Search	—Unverified

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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