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A curated list of neural architecture search (NAS) resources.
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README.md

Awesome NAS Awesome

A curated list of neural architecture search and related resources. Inspired by awesome-deep-vision, awesome-adversarial-machine-learning, awesome-deep-learning-papers, and awesome-architecture-search.

Please feel free to pull requests or open an issue to add papers.

Table of Contents

Awesome Blogs

Neural Architecture Search (NAS)

Type G RL EA PD Other
Explanation gradient-based reinforcement learning evaluationary algorithm performance prediction other types

2020

In submission, XDDD.

2019

Title Venue Type Code
DATA: Differentiable ArchiTecture Approximation NeurIPS - -
Progressive Differentiable Architecture Search: Bridging the Depth Gap Between Search and Evaluation ICCV - -
Multinomial Distribution Learning for Effective Neural Architecture Search ICCV - -
Searching for MobileNetV3 ICCV EA -
Multinomial Distribution Learning for Effective Neural Architecture Search ICCV - GitHub
Fast and Practical Neural Architecture Search ICCV
Teacher Guided Architecture Search ICCV -
AutoDispNet: Improving Disparity Estimation With AutoML ICCV G -
Resource Constrained Neural Network Architecture Search: Will a Submodularity Assumption Help? ICCV EA -
One-Shot Neural Architecture Search via Self-Evaluated Template Network ICCV G Github
Evolving Space-Time Neural Architectures for Videos ICCV EA GitHub
AutoGAN: Neural Architecture Search for Generative Adversarial Networks ICCV RL github
Discovering Neural Wirings NeurIPS G Github
Towards modular and programmable architecture search NeurIPS Other Github
Network Pruning via Transformable Architecture Search NeurIPS G Github
Deep Active Learning with a NeuralArchitecture Search NeurIPS - -
DetNAS: Backbone Search for ObjectDetection NeurIPS - -
SpArSe: Sparse Architecture Search for CNNs on Resource-Constrained Microcontrollers NeurIPS - -
Efficient Forward Architecture Search NeurIPS G Github
Efficient Neural ArchitectureTransformation Search in Channel-Level for Object Detection NeurIPS G -
XNAS: Neural Architecture Search with Expert Advice NeurIPS G -
Neural architecture search: A survey JMLR Survey -
DARTS: Differentiable Architecture Search ICLR G github
ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware ICLR RL/G github
Graph HyperNetworks for Neural Architecture Search ICLR G -
Learnable Embedding Space for Efficient Neural Architecture Compression ICLR Other github
Efficient Multi-Objective Neural Architecture Search via Lamarckian Evolution ICLR EA -
SNAS: stochastic neural architecture search ICLR G -
Searching for A Robust Neural Architecture in Four GPU Hours CVPR G Github
ChamNet: Towards Efficient Network Design through Platform-Aware Model Adaptation CVPR - -
Partial Order Pruning: for Best Speed/Accuracy Trade-off in Neural Architecture Search CVPR EA github
FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search CVPR G -
RENAS: Reinforced Evolutionary Neural Architecture Search CVPR G -
Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation CVPR G GitHub
MnasNet: Platform-Aware Neural Architecture Search for Mobile CVPR RL Github
MFAS: Multimodal Fusion Architecture Search CVPR EA -
A Neurobiological Evaluation Metric for Neural Network Model Search CVPR Other -
Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary Cells CVPR RL -
Customizable Architecture Search for Semantic Segmentation CVPR - -
Regularized Evolution for Image Classifier Architecture Search AAAI EA -
AutoAugment: Learning Augmentation Policies from Data CVPR RL -
Population Based Augmentation: Efficient Learning of Augmentation Policy Schedules ICML EA -
The Evolved Transformer ICML EA Github
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks ICML RL -
NAS-Bench-101: Towards Reproducible Neural Architecture Search ICML Other Github

2018

Title Venue Type Code
Towards Automatically-Tuned Deep Neural Networks BOOK - GitHub
Efficient Architecture Search by Network Transformation AAAI RL github
Learning Transferable Architectures for Scalable Image Recognition CVPR RL github
N2N learning: Network to Network Compression via Policy Gradient Reinforcement Learning ICLR RL -
A Flexible Approach to Automated RNN Architecture Generation ICLR RL/PD -
Practical Block-wise Neural Network Architecture Generation CVPR RL -
Path-Level Network Transformation for Efficient Architecture Search ICML RL github
Hierarchical Representations for Efficient Architecture Search ICLR EA -
Understanding and Simplifying One-Shot Architecture Search ICML G -
SMASH: One-Shot Model Architecture Search through HyperNetworks ICLR G github
Neural Architecture Optimization NeurIPS G github
Searching for efficient multi-scale architectures for dense image prediction NeurIPS Other -
Progressive Neural Architecture Search ECCV PD github
Neural Architecture Search with Bayesian Optimisation and Optimal Transport NeurIPS Other github
Differentiable Neural Network Architecture Search ICLR-W G -
Accelerating Neural Architecture Search using Performance Prediction ICLR-W PD -

2017

Title Venue Type Code
Neural Architecture Search with Reinforcement Learning ICLR RL -
Designing Neural Network Architectures using Reinforcement Learning ICLR RL -
Neural Optimizer Search with Reinforcement Learning ICML RL -
Learning Curve Prediction with Bayesian Neural Networks ICLR PD -
Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization ICLR PD -
Hyperparameter Optimization: A Spectral Approach NeurIPS-W Other github
Learning to Compose Domain-Specific Transformations for Data Augmentation NeurIPS - -

2012-2016

Title Venue Type Code
Speeding up Automatic Hyperparameter Optimization of Deep Neural Networksby Extrapolation of Learning Curves IJCAI PD github

arXiv

Title Date Type Code
PC-DARTS: Partial Channel Connections for Memory-Efficient Differentiable Architecture Search 2019.07 G github
Population Based Training of Neural Networks 2017.11 EA -
NSGA-NET: A Multi-Objective Genetic Algorithm for Neural Architecture Search 2018.10 EA -
Random Search and Reproducibility for Neural Architecture Search 2019.01 G -
Training Frankenstein’s Creature to Stack: HyperTree Architecture Search 2018.10 G -
Fast, Accurate and Lightweight Super-Resolution with Neural Architecture Search 2019.01 G github
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