Maintained by Difan Deng and Marius Lindauer.
The following list considers papers related to neural architecture search. It is by no means complete. If you miss a paper on the list, please let us know.
Please note that although NAS methods steadily improve, the quality of empirical evaluations in this field are still lagging behind compared to other areas in machine learning, AI and optimization. We would therefore like to share some best practices for empirical evaluations of NAS methods, which we believe will facilitate sustained and measurable progress in the field. If you are interested in a teaser, please read our blog post or directly jump to our checklist.
Transformers have gained increasing popularity in different domains. For a comprehensive list of papers focusing on Neural Architecture Search for Transformer-Based spaces, the awesome-transformer-search repo is all you need.
2020
AutoGraph - Automated Graph Neural Network Proceedings Article
In: pp. 189-201, 2020.
Effective, Efficient and Robust Neural Architecture Search Technical Report
2020.
Finding Non-uniform Quantization Schemes Using Multi-task Gaussian Processes Proceedings Article
In: pp. 383-398, 2020.
Fair DARTS - Eliminating Unfair Advantages in Differentiable Architecture Search Proceedings Article
In: pp. 465-480, 2020.
DA-NAS - Data Adapted Pruning for Efficient Neural Architecture Search Proceedings Article
In: pp. 584-600, 2020.
NAS-Count - Counting-by-Density with Neural Architecture Search Proceedings Article
In: pp. 747-766, 2020.
Bayesian Randomly Wired Neural Network with Variational Inference for Image Recognition Proceedings Article
In: pp. 197-207, 2020.
Multi-objective Evolution for Deep Neural Network Architecture Search Proceedings Article
In: pp. 270-281, 2020.
FTR-NAS - Fault-Tolerant Recurrent Neural Architecture Search Proceedings Article
In: pp. 589-597, 2020.
Neural Architecture Search for Extreme Multi-label Text Classification Proceedings Article
In: pp. 282-293, 2020.
Explicitly Learning Topology for Differentiable Neural Architecture Search Technical Report
2020.
AttentiveNAS - Improving Neural Architecture Search via Attentive Sampling Technical Report
2020.
EvoPose2D - Pushing the Boundaries of 2D Human Pose Estimation using Neuroevolution Technical Report
2020.
Journey Towards Tiny Perceptual Super-Resolution Proceedings Article
In: pp. 85-102, 2020.
FENAS - Flexible and Expressive Neural Architecture Search Proceedings Article
In: pp. 2869-2876, 2020.
Towards NNGP-guided Neural Architecture Search Technical Report
2020.
Neural Architecture Search with an Efficient Multiobjective Evolutionary Framework Technical Report
2020.
Adaptive Linear Span Network for Object Skeleton Detection Technical Report
2020.
FDNAS - Improving Data Privacy and Model Diversity in AutoML Technical Report
2020.
Adapting Neural Architectures Between Domains Proceedings Article
In: 2020.
Bridging the Gap between Sample-based and One-shot Neural Architecture Search with BONAS Proceedings Article
In: 2020.
Theory-Inspired Path-Regularized Differential Network Architecture Search Proceedings Article
In: 2020.
Semi-Supervised Neural Architecture Search Proceedings Article
In: 2020.
MetaPerturb - Transferable Regularizer for Heterogeneous Tasks and Architectures Proceedings Article
In: 2020.
Does Unsupervised Architecture Representation Learning Help Neural Architecture Search? Proceedings Article
In: 2020.
A Study on Encodings for Neural Architecture Search Proceedings Article
In: 2020.
AttentionNAS - Spatiotemporal Attention Cell Search for Video Classification Proceedings Article
In: pp. 449-465, 2020.
NAS-FAS - Static-Dynamic Central Difference Network Search for Face Anti-Spoofing Technical Report
2020.
Design Space for Graph Neural Networks Proceedings Article
In: 2020.
Channel Planting for Deep Neural Networks using Knowledge Distillation Technical Report
2020.
DAIS - Automatic Channel Pruning via Differentiable Annealing Indicator Search Technical Report
2020.
Interstellar - Searching Recurrent Architecture for Knowledge Graph Embedding Proceedings Article
In: 2020.
Revisiting Parameter Sharing for Automatic Neural Channel Number Search Proceedings Article
In: 2020.
Firefly Neural Architecture Descent - a General Approach for Growing Neural Networks Proceedings Article
In: 2020.
CLEARER - Multi-Scale Neural Architecture Search for Image Restoration Proceedings Article
In: 2020.
VEGA - Towards an End-to-End Configurable AutoML Pipeline Technical Report
2020.
Neural Network Design - Learning from Neural Architecture Search Proceedings Article
In: pp. 1341-1349, 2020.
Self-supervised Representation Learning for Evolutionary Neural Architecture Search Technical Report
2020.
Resource-Aware Pareto-Optimal Automated Machine Learning Platform Technical Report
2020.
NSGANetV2 - Evolutionary Multi-objective Surrogate-Assisted Neural Architecture Search Proceedings Article
In: pp. 35-51, 2020.
Auto-Panoptic - Cooperative Multi-Component Architecture Search for Panoptic Segmentation Proceedings Article
In: 2020.
StochNetV2 - A Tool for Automated Deep Abstractions for Stochastic Reaction Networks Proceedings Article
In: pp. 27-32, 2020.
A Review of Recent Advances of Binary Neural Networks for Edge Computing Technical Report
2020.
Understanding and Exploring the Network with Stochastic Architectures Proceedings Article
In: 2020.
Cream of the Crop - Distilling Prioritized Paths For One-Shot Neural Architecture Search Proceedings Article
In: 2020.
Model Rubik's Cube: Twisting Resolution, Depth and Width for TinyNets Technical Report
2020.