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NAS Papers&Projects

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

arXiv

Title Date Type Code
NAS-Bench-1Shot1: Benchmarking and Dissecting One-shot Neural Architecture Search 2020.1 - -
Learning Architectures for Binary Networks 2020.2 G -
Binarized Neural Architecture Search 2019.11 G -
Neural Architecture Search on Acoustic Scene Classificatio 2019.12 EA -
Performance-Oriented Neural Architecture Search 2020.1 - -
RC-DARTS: Resource Constrained Differentiable Architecture Search 2019.12 G -
Best of Both Worlds: AutoML Codesign of a CNN and its Hardware Accelerator 2020.2 RL -
Neural Architecture Search for Deep Image Prior 2020.1 EA -
SM-NAS: Structural-to-Modular Neural Architecture Search for Object Detection 2019.11 EA -
Search to Distill: Pearls are Everywhere but not the Eyes 2019.11 RL -
SGAS: Sequential Greedy Architecture Search 2019.12 G -
EDAS: Efficient and Differentiable Architecture Search 2019.12 G -
Multi-objective Neural Architecture Search via Non-stationary Policy Gradient 2020.1 RL -
Channel Pruning via Automatic Structure Search 2020.1 - -
DEEPER INSIGHTS INTO WEIGHT SHARING IN NEU- RAL ARCHITECTURE SEARCH 2020.1 - -
MixPath: A Unified Approach for One-shot Neural Architecture Search 2020.1 EA Github
Efficient Neural Architecture Search: A Broad Version 2020.1 RL -
Latency-Aware Differentiable Neural Architecture Search 2020.1 G -
EcoNAS: Finding Proxies for Economical Neural Architecture Search 2020.1 EA -
Stabilizing Differentiable Architecture Search via Perturbation-based Regularization 2020.2 G Github
Scalable NAS with Factorizable Architectural Parameters 2019.12 G -
DARTS+: Improved Differentiable Architecture Search with Early Stopping 2019.9 G -
Stabilizing Darts With Amended Gradient Estimation On Architectural Parameters 2019.10 G Code
StacNAS: Towards stable and consistent optimization for differentiable Neural Architecture Search 2019.11 G Github
Fair DARTS: Eliminating Unfair Advantages in Differentiable Architecture Search 2019.11 G Github
FairNAS: Rethinking Evaluation Fairness of Weight Sharing Neural Architecture Search 2019.11 EA Github
SCARLET-NAS: Bridging the gap Between Stability and Scalability in Neural Architecture Search 2019.8 EA Github
Population Based Training of Neural Networks 2017.11 EA -
NSGA-NET: A Multi-Objective Genetic Algorithm for Neural Architecture Search 2018.10 EA -
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

2020

Title Venue Type Code
AtomNAS: Fine-Grained End-to-End Neural Architecture Search ICLR - Github
Understanding and Robustifying Differentiable Architecture Search ICLR G Github
NAS-BENCH-201: Extending the Scope of Reproducible Neural Architecture Search ICLR - Github
Understanding Architectures Learnt by Cell-based Neural Architecture Search ICLR G Github
Evaluating The Search Phase of Neural Architecture Search ICLR - -
Fast Neural Network Adaptation via Parameter Remapping and Architecture Search ICLR _ Github
Once for All: Train One Network and Specialize it for Efficient Deployment ICLR G -
Efficient Transformer for Mobile Applications ICLR - -
PC-DARTS: Partial Channel Connections for Memory-Efficient Architecture Search ICLR G Github
Adversarial AutoAugment ICLR - -
NAS evaluation is frustratingly hard ICLR - -
FasterSeg: Searching for Faster Real-time Semantic Segmentation ICLR G Github
Computation Reallocation for Object Detection ICLR - -
Towards Fast Adaptation of Neural Architectures with Meta Learning ICLR - -
AssembleNet: Searching for Multi-Stream Neural Connectivity in Video Architectures ICLR EA -
How to Own the NAS in Your Spare Time ICLR - -

2019

Title Venue Type Code
DATA: Differentiable ArchiTecture Approximation NeurIPS G -
Random Search and Reproducibility for Neural Architecture Search UAI G Github
Improved Differentiable Architecture Search for Language Modeling and Named Entity Recognition EMNLP -
Continual and Multi-Task Architecture Search ACL RL -
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 -
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 -
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 - Github
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 -
One-Shot Neural Architecture Search via Self-Evaluated Template Network ICCV G/PD Github
Evolving Space-Time Neural Architectures for Videos ICCV EA GitHub
AutoGAN: Neural Architecture Search for Generative Adversarial Networks ICCV RL Github
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 EA/PD -
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 EA -
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