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
Neighbourhood Distillation - On the benefits of non end-to-end distillation Technical Report
2020.
Dynamic Graph - Learning Instance-aware Connectivity for Neural Networks Technical Report
2020.
Automatic Data Augmentation for 3D Medical Image Segmentation Proceedings Article
In: pp. 378-387, 2020.
DOTS - Decoupling Operation and Topology in Differentiable Architecture Search Proceedings Article
In: CVPR2021, 2020.
Remote Intelligent Assisted Diagnosis System for Hepatic Echinococcosis Technical Report
2020, ISBN: 978-3-030-60334-2.
Neural Architecture Search for Optimization of Spatial-Temporal Brain Network Decomposition Technical Report
2020.
VINNAS: Variational Inference-based Neural Network Architecture Search Technical Report
2020.
NAS-SCAM: Neural Architecture Search-Based Spatial and Channel Joint Attention Module for Nuclei Semantic Segmentation and Classification Technical Report
2020, ISBN: 978-3-030-59710-8.
Joint Appearance-Feature Domain Adaptation: Application to QSM Segmentation Transfer Technical Report
2020, ISBN: 978-3-030-59861-7.
Neural Architecture Search for Microscopy Cell Segmentation Technical Report
Cham, 2020, ISBN: 978-3-030-59861-7.
Convolution Neural Network Architecture Learning for Remote Sensing Scene Classification Technical Report
2020.
Exploring the Correlation Between Random Convolutional Architectures and the Trained Equivalent Proceedings Article
In: pp. 1-6, 2020.
Efficient Search for the Number of Channels for Convolutional Neural Networks Proceedings Article
In: pp. 1-8, 2020.
Shift-Invariant Convolutional Network Search Proceedings Article
In: pp. 1-7, 2020.
AutoRSISC - Automatic design of neural architecture for remote sensing image scene classification Journal Article
In: vol. 140, pp. 186-192, 2020.
Reinforcement Learning based Neural Architecture Search for Audio Tagging Proceedings Article
In: pp. 1-8, 2020.
NASABN - A Neural Architecture Search Framework for Attention-Based Networks Proceedings Article
In: pp. 1-7, 2020.
Att-DARTS - Differentiable Neural Architecture Search for Attention Proceedings Article
In: pp. 1-8, 2020.
Recurrent Neural Architecture Search based on Randomness-Enhanced Tabu Algorithm Proceedings Article
In: pp. 1-8, 2020.
MS-RANAS - Multi-Scale Resource-Aware Neural Architecture Search Technical Report
2020.
Disentangled Neural Architecture Search Technical Report
2020.
Visual Steering for One-Shot Deep Neural Network Synthesis Technical Report
2020.
Autokge: towards automated knowledge graph embedding Technical Report
2020.
Multi-Pass Transformer for Machine Translation Technical Report
2020.
AutoRC - Improving BERT Based Relation Classification Models via Architecture Search Technical Report
2020.
Evolutionary Architecture Search for Graph Neural Networks Technical Report
2020.
APNAS - Accuracy-and-Performance-Aware Neural Architecture Search for Neural Hardware Accelerators Journal Article
In: vol. 8, pp. 165319-165334, 2020.
Learned Low Precision Graph Neural Networks Technical Report
2020.
Neural Architecture Search Using Stable Rank of Convolutional Layers Technical Report
2020.
ENAS4D - Efficient Multi-stage CNN Architecture Search for Dynamic Inference Technical Report
2020.
Building NAS: Automatic designation of efficient neural architectures for building extraction in high-resolution aerial images Technical Report
2020, ISSN: 0262-8856.
Generating Efficient DNN-Ensembles with Evolutionary Computation Technical Report
2020.
Searching for Low-Bit Weights in Quantized Neural Networks Proceedings Article
In: 2020.
Evolutionary NAS with Gene Expression Programming of Cellular Encoding Technical Report
2020.
UXNet - Searching Multi-level Feature Aggregation for 3D Medical Image Segmentation Proceedings Article
In: pp. 346-356, 2020.
DANCE - Differentiable Accelerator/Network Co-Exploration Technical Report
2020.
RelativeNAS - Relative Neural Architecture Search via Slow-Fast Learning Proceedings Article
In: 2020.
AutoML for Multilayer Perceptron and FPGA Co-design Technical Report
2020.
From Federated Learning to Federated Neural Architecture Search - A Survey Technical Report
2020.
Disentangling Neural Architectures and Weights - A Case Study in Supervised Classification Technical Report
2020.
Optimizing Convolutional Neural Network Architecture via Information Field Technical Report
2020.
Binarized Neural Architecture Search for Efficient Object Recognition Technical Report
2020.
Calibrationless MRI Reconstruction with a Plug-in Denoiser Technical Report
2020.
AutoKWS - Keyword Spotting with Differentiable Architecture Search Technical Report
2020.
Are Deep Neural Architectures Losing Information? Invertibility is Indispensable Proceedings Article
In: pp. 172-184, 2020.