SOTAVerified

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 776–800 of 1915 papers

TitleStatusHype
Combining Multi-Objective Bayesian Optimization with Reinforcement Learning for TinyML—0
Do Not Train It: A Linear Neural Architecture Search of Graph Neural NetworksCode0
NAS-FM: Neural Architecture Search for Tunable and Interpretable Sound Synthesis based on Frequency Modulation—0
ALT: An Automatic System for Long Tail Scenario Modeling—0
Interpretable neural architecture search and transfer learning for understanding CRISPR/Cas9 off-target enzymatic reactionsCode0
Efficient Search of Comprehensively Robust Neural Architectures via Multi-fidelity Evaluation—0
Divide-and-Conquer the NAS puzzle in Resource Constrained Federated Learning Systems—0
Backpropagation-Free 4D Continuous Ant-Based Neural Topology SearchCode0
GPT-NAS: Evolutionary Neural Architecture Search with the Generative Pre-Trained Model—0
MO-DEHB: Evolutionary-based Hyperband for Multi-Objective Optimization—0
RATs-NAS: Redirection of Adjacent Trails on GCN for Neural Architecture Search—0
Symbolic Regression on FPGAs for Fast Machine Learning Inference—0
Neural Architecture Search for Intel Movidius VPU—0
Learning Language-Specific Layers for Multilingual Machine Translation—0
A Survey on Dataset Distillation: Approaches, Applications and Future Directions—0
Auto-CARD: Efficient and Robust Codec Avatar Driving for Real-time Mobile Telepresence—0
LayerNAS: Neural Architecture Search in Polynomial Complexity—0
QuMoS: A Framework for Preserving Security of Quantum Machine Learning Model—0
SSS3D: Fast Neural Architecture Search For Efficient Three-Dimensional Semantic Segmentation—0
Multi-scale Evolutionary Neural Architecture Search for Deep Spiking Neural Networks—0
Neural Architecture Search for Visual Anomaly SegmentationCode0
AutoTaskFormer: Searching Vision Transformers for Multi-task Learning—0
DartsReNet: Exploring new RNN cells in ReNet architecturesCode0
Efficient Automation of Neural Network Design: A Survey on Differentiable Neural Architecture Search—0
Adversarially Robust Neural Architecture Search for Graph Neural Networks—0
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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