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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 AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 201–250 of 1915 papers

TitleStatusHype
ViPNAS: Efficient Video Pose Estimation via Neural Architecture SearchCode1
DEHB: Evolutionary Hyperband for Scalable, Robust and Efficient Hyperparameter OptimizationCode1
Differentiable Neural Architecture Search for Extremely Lightweight Image Super-ResolutionCode1
Bag of Baselines for Multi-objective Joint Neural Architecture Search and Hyperparameter OptimizationCode1
LightTrack: Finding Lightweight Neural Networks for Object Tracking via One-Shot Architecture SearchCode1
Exploring Relational Context for Multi-Task Dense PredictionCode1
BM-NAS: Bilevel Multimodal Neural Architecture SearchCode1
Neural Architecture Search of Deep Priors: Towards Continual Learning without Catastrophic InterferenceCode1
Search to aggregate neighborhood for graph neural networkCode1
AutoGL: A Library for Automated Graph LearningCode1
Partially-Connected Differentiable Architecture Search for Deepfake and Spoofing DetectionCode1
One-Shot Neural Ensemble Architecture Search by Diversity-Guided Search Space ShrinkingCode1
Rethinking Neural Operations for Diverse TasksCode1
Rethinking Graph Neural Architecture Search from Message-passingCode1
EfficientTDNN: Efficient Architecture Search for Speaker RecognitionCode1
Learning Versatile Neural Architectures by Propagating Network CodesCode1
BossNAS: Exploring Hybrid CNN-transformers with Block-wisely Self-supervised Neural Architecture SearchCode1
Prioritized Architecture Sampling with Monto-Carlo Tree SearchCode1
MoViNets: Mobile Video Networks for Efficient Video RecognitionCode1
HW-NAS-Bench:Hardware-Aware Neural Architecture Search BenchmarkCode1
OPANAS: One-Shot Path Aggregation Network Architecture Search for Object DetectionCode1
Contrastive Neural Architecture Search with Neural Architecture ComparatorsCode1
Differentiable Neural Architecture Learning for Efficient Neural Network DesignCode1
Task-Adaptive Neural Network Search with Meta-Contrastive LearningCode1
Automated Machine Learning on Graphs: A SurveyCode1
Neural Architecture Search on ImageNet in Four GPU Hours: A Theoretically Inspired PerspectiveCode1
HardCoRe-NAS: Hard Constrained diffeRentiable Neural Architecture SearchCode1
Sandwich Batch Normalization: A Drop-In Replacement for Feature Distribution HeterogeneityCode1
Stronger NAS with Weaker PredictorsCode1
Towards Accurate and Compact Architectures via Neural Architecture TransformerCode1
BSQ: Exploring Bit-Level Sparsity for Mixed-Precision Neural Network QuantizationCode1
Firefly Neural Architecture Descent: a General Approach for Growing Neural NetworksCode1
AlphaNet: Improved Training of Supernets with Alpha-DivergenceCode1
EPE-NAS: Efficient Performance Estimation Without Training for Neural Architecture SearchCode1
CATE: Computation-aware Neural Architecture Encoding with TransformersCode1
Neural Architecture Search as Program Transformation ExplorationCode1
Adversarial Branch Architecture Search for Unsupervised Domain AdaptationCode1
Regional Attention with Architecture-Rebuilt 3D Network for RGB-D Gesture RecognitionCode1
Contrastive Embeddings for Neural ArchitecturesCode1
LightSpeech: Lightweight and Fast Text to Speech with Neural Architecture SearchCode1
Neural Architecture Search with Random LabelsCode1
CM-NAS: Cross-Modality Neural Architecture Search for Visible-Infrared Person Re-IdentificationCode1
Zero-Cost Proxies for Lightweight NASCode1
GIID-Net: Generalizable Image Inpainting Detection via Neural Architecture Search and AttentionCode1
Learning Efficient, Explainable and Discriminative Representations for Pulmonary Nodules ClassificationCode1
Automated Model Design and Benchmarking of 3D Deep Learning Models for COVID-19 Detection with Chest CT ScansCode1
Neural Architecture Search for Joint Human Parsing and Pose EstimationCode1
TransNAS-Bench-101: Improving Transferrability and Generalizability of Cross-Task Neural Architecture SearchCode1
Memory-Efficient Hierarchical Neural Architecture Search for Image RestorationCode1
EfficientPose: Efficient Human Pose Estimation with Neural Architecture SearchCode1
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All datasetsImageNetNAS-Bench-201, ImageNet-16-120CIFAR-10NAS-Bench-201, CIFAR-100NAS-Bench-201, CIFAR-10CIFAR-10 Image ClassificationCIFAR-100NATS-Bench Topology, CIFAR-10NATS-Bench Topology, CIFAR-100NATS-Bench Topology, ImageNet16-120Food-101NAS-Bench-101

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SPOS (ProxylessNAS (GPU) latency)Accuracy75.3—Unverified
2SPOS (FBNet-C latency)Accuracy75.1—Unverified
3SPOS (block search + channel search)Accuracy74.7—Unverified
4MUXNet-xsTop-1 Error Rate33.3—Unverified
5FBNetV2-F1Top-1 Error Rate31.7—Unverified
6LayerNAS-60MTop-1 Error Rate31—Unverified
7NASGEPTop-1 Error Rate29.51—Unverified
8MUXNet-sTop-1 Error Rate28.4—Unverified
9NN-MASS-ATop-1 Error Rate27.1—Unverified
10FBNetV2-F3Top-1 Error Rate26.8—Unverified
#ModelMetricClaimedVerifiedStatus
1CR-LSOAccuracy (Test)46.98—Unverified
2Shapley-NASAccuracy (Test)46.85—Unverified
3β-RDARTS-L2Accuracy (Test)46.71—Unverified
4β-SDARTS-RSAccuracy (Test)46.71—Unverified
5ASE-NAS+Accuracy (Val)46.66—Unverified
6NARAccuracy (Test)46.66—Unverified
7BaLeNAS-TFAccuracy (Test)46.54—Unverified
8AG-NetAccuracy (Test)46.42—Unverified
9Local searchAccuracy (Test)46.38—Unverified
10NASBOTAccuracy (Test)46.37—Unverified
#ModelMetricClaimedVerifiedStatus
1Balanced MixtureAccuracy (% )91.55—Unverified
2GDASTop-1 Error Rate3.4—Unverified
3Bonsai-NetTop-1 Error Rate3.35—Unverified
4Net2 (2)Top-1 Error Rate3.3—Unverified
5μDARTSTop-1 Error Rate3.28—Unverified
6NN-MASS- CIFAR-CTop-1 Error Rate3.18—Unverified
7NN-MASS- CIFAR-ATop-1 Error Rate3—Unverified
8DARTS (first order)Top-1 Error Rate3—Unverified
9NASGEPTop-1 Error Rate2.82—Unverified
10AlphaX-1 (cutout NASNet)Top-1 Error Rate2.82—Unverified