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
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.
Large Scale Neural Architecture Search with Polyharmonic Splines Technical Report
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.