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 876–900 of 1915 papers

TitleStatusHype
Automated Mobile Attention KPConv Networks via a Wide and Deep Predictor—0
Binarized Neural Architecture Search—0
Hardware-aware Real-time Myocardial Segmentation Quality Control in Contrast Echocardiography—0
Efficient Search of Comprehensively Robust Neural Architectures via Multi-fidelity Evaluation—0
Efficient Sampling for Predictor-Based Neural Architecture Search—0
ASP: Automatic Selection of Proxy dataset for efficient AutoML—0
HASA: Hybrid Architecture Search with Aggregation Strategy for Echinococcosis Classification and Ovary Segmentation in Ultrasound Images—0
A Generic Graph-based Neural Architecture Encoding Scheme for Predictor-based NAS—0
Efficient Progressive Neural Architecture Search—0
Efficient OCT Image Segmentation Using Neural Architecture Search—0
Heart-Darts: Classification of Heartbeats Using Differentiable Architecture Search—0
Efficient Novelty-Driven Neural Architecture Search—0
Heed the Noise in Performance Evaluations in Neural Architecture Search—0
SpeedLimit: Neural Architecture Search for Quantized Transformer Models—0
ASFD: Automatic and Scalable Face Detector—0
Adaptive Variance Thresholding: A Novel Approach to Improve Existing Deep Transfer Vision Models and Advance Automatic Knee-Joint Osteoarthritis Classification—0
Heterogeneous Learning Rate Scheduling for Neural Architecture Search on Long-Tailed Datasets—0
Heterogeneous Model Transfer between Different Neural Networks—0
HGNAS: Hardware-Aware Graph Neural Architecture Search for Edge Devices—0
Inter-choice dependent super-network weights—0
Efficient Neural Architecture Transformation Search in Channel-Level for Object Detection—0
Efficient Neural Architecture Transformation Searchin Channel-Level for Object Detection—0
Automatic Mixed-Precision Quantization Search of BERT—0
Hitchhiker's Guide to Super-Resolution: Introduction and Recent Advances—0
Bi-fidelity Evolutionary Multiobjective Search for Adversarially Robust Deep Neural Architectures—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