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 751–775 of 1915 papers

Title	Date	Tasks	Status	Hype
i-Razor: A Differentiable Neural Input Razor for Feature Selection and Dimension Search in DNN-Based Recommender Systems	Apr 1, 2022	Click-Through Rate PredictionFeature Engineering	CodeCode Available	0
Neural Architecture Search for Speech Emotion Recognition	Mar 31, 2022	Emotion RecognitionNeural Architecture Search	—Unverified	0
Quasi-orthogonality and intrinsic dimensions as measures of learning and generalisation	Mar 30, 2022	Neural Architecture Search	—Unverified	0
AutoCoMet: Smart Neural Architecture Search via Co-Regulated Shaping Reinforcement	Mar 29, 2022	AutoMLNeural Architecture Search	—Unverified	0
Nix-TTS: Lightweight and End-to-End Text-to-Speech via Module-wise Distillation	Mar 29, 2022	CPUDecoder	CodeCode Available	2
Generalizing Few-Shot NAS with Gradient Matching	Mar 29, 2022	Neural Architecture Search	CodeCode Available	1
Robust and Energy-efficient PPG-based Heart-Rate Monitoring	Mar 28, 2022	Neural Architecture Search	—Unverified	0
Demystifying the Neural Tangent Kernel from a Practical Perspective: Can it be trusted for Neural Architecture Search without training?	Mar 28, 2022	Neural Architecture Search	CodeCode Available	0
AutoTS: Automatic Time Series Forecasting Model Design Based on Two-Stage Pruning	Mar 26, 2022	Neural Architecture SearchTime Series	—Unverified	0
A Semi-Decoupled Approach to Fast and Optimal Hardware-Software Co-Design of Neural Accelerators	Mar 25, 2022	Neural Architecture Search	CodeCode Available	0
An Intelligent End-to-End Neural Architecture Search Framework for Electricity Forecasting Model Development	Mar 25, 2022	Neural Architecture SearchReinforcement Learning (RL)	—Unverified	0
EmotionNAS: Two-stream Neural Architecture Search for Speech Emotion Recognition	Mar 25, 2022	Emotion RecognitionNeural Architecture Search	—Unverified	0
Q-PPG: Energy-Efficient PPG-based Heart Rate Monitoring on Wearable Devices	Mar 24, 2022	Neural Architecture SearchPhotoplethysmography (PPG)	CodeCode Available	1
U-Boost NAS: Utilization-Boosted Differentiable Neural Architecture Search	Mar 23, 2022	Hardware Aware Neural Architecture Searchimage-classification	CodeCode Available	0
PACE: A Parallelizable Computation Encoder for Directed Acyclic Graphs	Mar 19, 2022	Neural Architecture Search	CodeCode Available	1
Global Convergence of MAML and Theory-Inspired Neural Architecture Search for Few-Shot Learning	Mar 17, 2022	Few-Shot LearningMeta-Learning	CodeCode Available	1
DATA: Domain-Aware and Task-Aware Self-supervised Learning	Mar 17, 2022	image-classificationImage Classification	CodeCode Available	1
Progressive Subsampling for Oversampled Data -- Application to Quantitative MRI	Mar 17, 2022	Deep LearningNeural Architecture Search	CodeCode Available	0
On Redundancy and Diversity in Cell-based Neural Architecture Search	Mar 16, 2022	DiversityNeural Architecture Search	CodeCode Available	0
Learning Where To Look -- Generative NAS is Surprisingly Efficient	Mar 16, 2022	Neural Architecture Search	CodeCode Available	1
Meta-Learning of NAS for Few-shot Learning in Medical Image Applications	Mar 16, 2022	AutoMLFew-Shot Learning	—Unverified	0
TAS: Ternarized Neural Architecture Search for Resource-Constrained Edge Devices	Mar 14, 2022	Neural Architecture SearchQuantization	CodeCode Available	0
Less is More: Proxy Datasets in NAS approaches	Mar 14, 2022	Neural Architecture Search	CodeCode Available	0
Towards Bi-directional Skip Connections in Encoder-Decoder Architectures and Beyond	Mar 11, 2022	DecoderMedical Image Analysis	—Unverified	0
Towards Less Constrained Macro-Neural Architecture Search	Mar 10, 2022	GPUNeural Architecture Search	CodeCode Available	1

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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-RDARTS-L2	Accuracy (Test)	46.71	—	Unverified
4	β-SDARTS-RS	Accuracy (Test)	46.71	—	Unverified
5	ASE-NAS+	Accuracy (Val)	46.66	—	Unverified
6	NAR	Accuracy (Test)	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	NN-MASS- CIFAR-A	Top-1 Error Rate	3	—	Unverified
8	DARTS (first order)	Top-1 Error Rate	3	—	Unverified
9	NASGEP	Top-1 Error Rate	2.82	—	Unverified
10	AlphaX-1 (cutout NASNet)	Top-1 Error Rate	2.82	—	Unverified