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
Memory-Efficient Hierarchical Neural Architecture Search for Image Restoration Technical Report
2020.
Learning by Self-Explanation, with Application to Neural Architecture Search Technical Report
2020.
Small-Group Learning, with Application to Neural Architecture Search Technical Report
2020.
Searching for Controllable Image Restoration Networks Technical Report
2020.
Single-level Optimization For Differential Architecture Search Technical Report
2020.
Neural Architecture Search using Particle Swarm and Ant Colony Optimization Proceedings Article
In: pp. 229-240, 2020.
aw_nas: A Modularized and Extensible NAS framework Technical Report
2020.
EdgeNAS - Discovering Efficient Neural Architectures for Edge Systems Proceedings Article
In: pp. 288-295, 2020.
Optimizing FPGA-Based CNN Accelerator Using Differentiable Neural Architecture Search Proceedings Article
In: pp. 465-468, 2020.
A Graph-Based Approach to Automatic Convolutional Neural Network Construction for Image Classification Proceedings Article
In: pp. 1-6, 2020.
AutoCaption - Image Captioning with Neural Architecture Search Technical Report
2020.
Joint Search of Data Augmentation Policies and Network Architectures Technical Report
2020.
Distilling Optimal Neural Networks - Rapid Search in Diverse Spaces Technical Report
2020.
EfficientPose - Efficient Human Pose Estimation with Neural Architecture Search Technical Report
2020.
Differential Evolution for Neural Architecture Search Technical Report
2020.
AdvantageNAS - Efficient Neural Architecture Search with Credit Assignment Technical Report
2020.
Improving the Efficient Neural Architecture Search via Rewarding Modifications Proceedings Article
In: pp. 1-6, 2020.
Efficient Incorporation of Multiple Latency Targets in the Once-For-All Network Technical Report
2020.
Optimizing the Energy Consumption of Neural Networks Proceedings Article
In: pp. 2312-2319, 2020.
Evolutionary Generative Contribution Mappings Proceedings Article
In: pp. 1657-1664, 2020.
Auto-MVCNN - Neural Architecture Search for Multi-view 3D Shape Recognition Technical Report
2020.
Skillearn: Machine Learning Inspired by Humans' Learning Skills Technical Report
2020.
Automatic Routability Predictor Development Using Neural Architecture Search Technical Report
2020.
Sequence Generation using Deep Recurrent Networks and Embeddings - A study case in music Technical Report
2020.
Multi-path Neural Networks for On-device Multi-domain Visual Classification Technical Report
2020.
Neurosymbolic AI: The 3rd Wave Technical Report
2020.
ScaleNAS - One-Shot Learning of Scale-Aware Representations for Visual Recognition Technical Report
2020.
Sampled Training and Node Inheritance for Fast Evolutionary Neural Architecture Search Technical Report
2020.
EDNAS: An Efficient Neural Architecture Design based on Distribution Estimation Technical Report
2020.
Differential Evolution for Neural Architecture Search Technical Report
2020.
Optimizing the Neural Architecture of Reinforcement Learning Agents Technical Report
2020.
Inter-layer Transition in Neural Architecture Search Technical Report
2020.
Multi-objective Neural Architecture Search with Almost No Training Technical Report
2020.
NORD - A python framework for Neural Architecture Search Technical Report
2020.
Toward Fast Platform-Aware Neural Architecture Search for FPGA-Accelerated Edge AI Applications Proceedings Article
In: pp. 219-225, 2020.
Anti-bandit Neural Architecture Search for Model Defense Proceedings Article
In: pp. 70-85, 2020.
Self-organising Neural Network Hierarchy Proceedings Article
In: pp. 359-370, 2020.
Efficient Sampling for Predictor-Based Neural Architecture Search Technical Report
2020.
Neural Architecture Search For Fault Diagnosis Technical Report
2020.
FP-NAS - Fast Probabilistic Neural Architecture Search Technical Report
2020.
Evolving Search Space for Neural Architecture Search Technical Report
2020.
Continuous Ant-Based Neural Topology Search Technical Report
2020.