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 1301–1325 of 1915 papers

TitleStatusHype
Transfer Learning to Learn with Multitask Neural Model Search—0
Transfer Learning with Neural AutoML—0
Transfer NAS: Knowledge Transfer between Search Spaces with Transformer Agents—0
Transferrable Surrogates in Expressive Neural Architecture Search Spaces—0
Trends in Neural Architecture Search: Towards the Acceleration of Search—0
Trilevel Neural Architecture Search for Efficient Single Image Super-Resolution—0
Triple Path Enhanced Neural Architecture Search for Multimodal Fake News Detection—0
TripLe: Revisiting Pretrained Model Reuse and Progressive Learning for Efficient Vision Transformer Scaling and Searching—0
Tr-NAS: Memory-Efficient Neural Architecture Search with Transferred Blocks—0
TSkips: Efficiency Through Explicit Temporal Delay Connections in Spiking Neural Networks—0
Two-stage architectural fine-tuning with neural architecture search using early-stopping in image classification—0
UDC: Unified DNAS for Compressible TinyML Models—0
Multi-trial Neural Architecture Search with Lottery Tickets—0
UFO-BLO: Unbiased First-Order Bilevel Optimization—0
Ultrafast Photorealistic Style Transfer via Neural Architecture Search—0
Uncertainty Modeling of Emerging Device-based Computing-in-Memory Neural Accelerators with Application to Neural Architecture Search—0
Uncertainty Quantification and Resource-Demanding Computer Vision Applications of Deep Learning—0
Understanding and Simplifying One-Shot Architecture Search—0
Understanding Neural Architecture Search Techniques—0
Underwater object detection in sonar imagery with detection transformer and Zero-shot neural architecture search—0
Unified Probabilistic Neural Architecture and Weight Ensembling Improves Model Robustness—0
Uniform-Precision Neural Network Quantization via Neural Channel Expansion—0
UnrealNAS: Can We Search Neural Architectures with Unreal Data?—0
Unsupervised Graph Neural Architecture Search with Disentangled Self-supervision—0
Building high accuracy emulators for scientific simulations with deep neural architecture search—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