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
Search Tree Pruning for Progressive Neural Architecture Search (Student Abstract) Proceedings Article
In: pp. 13783-13784, 2020.
Evolving artificial neural networks with feedback Journal Article
In: vol. 123, pp. 153-162, 2020.
A view on automated neural graph topology generation and a viable direction of innovation Proceedings Article
In: 2020 19th RoEduNet Conference: Networking in Education and Research (RoEduNet), pp. 1-7, 2020.
NAS-HR: search of neural architecture for heart-rate estimation from face videos Proceedings Article
In: 2020.
NAS-FCOS: Fast Neural Architecture Search for Object Detection Proceedings Article
In: 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2020, Seattle, WA, USA, June 13-19, 2020, pp. 11940–11948, IEEE, 2020.
Evolving Deep Convolutional Variational Autoencoders for Image Classification Journal Article
In: IEEE Transactions on Evolutionary Computation, pp. 1-1, 2020.
Pretraining Neural Architecture Search Controllers with Locality-based Self-Supervised Learning Proceedings Article
In: NeurIPS 2020 Workshop: Self-Supervised Learning - Theory and Practice, 2020.
AutoBSS: An Efficient Algorithm for Block Stacking Style Search Proceedings Article
In: Larochelle, Hugo; Ranzato, MarcÁurelio; Hadsell, Raia; -, Maria; -, Hsuan (Ed.): Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtual, 2020.
RSSM-Net: Remote Sensing Image Scene Classification Based on Multi-Objective Neural Architecture Search Proceedings Article
In: IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium, pp. 1369-1372, 2020.
Self-organising Neural Network Hierarchy Proceedings Article
In: Gallagher, Marcus; Moustafa, Nour; Lakshika, Erandi (Ed.): AI 2020: Advances in Artificial Intelligence - 33rd Australasian Joint Conference, AI 2020, Canberra, ACT, Australia, November 29-30, 2020, Proceedings, pp. 359–370, Springer, 2020.
NASB: Neural Architecture Search for Binary Convolutional Neural Networks Proceedings Article
In: 2020 International Joint Conference on Neural Networks, IJCNN 2020, Glasgow, United Kingdom, July 19-24, 2020, pp. 1–8, IEEE, 2020.
2019
Countering adaptive network covert communication with dynamic wardens Technical Report
2019, ISSN: 0167-739X.
Context R-CNN: Long Term Temporal Context for Per-Camera Object Detection Technical Report
2019.
Bayesian Tensorized Neural Networks with Automatic Rank Selection Technical Report
2019.
Balanced One-shot Neural Architecture Optimization Technical Report
2019.
Dynamic Cell Structure via Recursive-Recurrent Neural Networks Technical Report
2019.
EPNAS: Efficient Progressive Neural Architecture Search Technical Report
2019.
Tiny Video Networks Technical Report
2019.
On Network Design Spaces for Visual Recognition Proceedings Article
In: pp. 1882-1890, 2019.
Genetic Network Architecture Search Technical Report
2019.
Taxonomy of Real Faults in Deep Learning Systems Technical Report
2019.
The Ant Swarm Neuro-Evolution Procedure for Optimizing Recurrent Networks Technical Report
2019.
Efficient Evolutionary Neural Architecture Search (NAS) by Modular Inheritable Crossover Proceedings Article
In: pp. 761-769, 2019.
Efficient Evolutionary Architecture Search for CNN Optimization on GTSRB Proceedings Article
In: pp. 56-61, 2019.
Automating Deep Neural Network Model Selection for Edge Inference Proceedings Article
In: pp. 184-193, 2019.
FPNet - Customized Convolutional Neural Network for FPGA Platforms Proceedings Article
In: pp. 399-402, 2019.
Scalable NAS with Factorizable Architectural Parameters Technical Report
2019.
Modeling Neural Architecture Search Methods for Deep Networks Technical Report
2019.
Searching for Stage-wise Neural Graphs In the Limit Technical Report
2019.
RC-DARTS - Resource Constrained Differentiable Architecture Search Technical Report
2019.
BETANAS - BalancEd TrAining and selective drop for Neural Architecture Search Technical Report
2019.
Progressive DARTS - Bridging the Optimization Gap for NAS in the Wild Technical Report
2019.
Neural Architecture Search for Optimizing Deep Belief Network Models of fMRI Data Proceedings Article
In: pp. 26-34, 2019.
Preventing Information Leakage with Neural Architecture Search Technical Report
2019.
DBSN: Measuring Uncertainty through Bayesian Learning of Deep Neural Network Structures Technical Report
2019.
A Variational-Sequential Graph Autoencoder for Neural Architecture Performance Prediction Technical Report
2019.
STEERAGE - Synthesis of Neural Networks Using Architecture Search and Grow-and-Prune Methods Technical Report
2019.
Leveraging End-to-End Speech Recognition with Neural Architecture Search Technical Report
2019.
Efficient Differentiable Neural Architecture Search with Meta Kernels Technical Report
2019.
MetAdapt - Meta-Learned Task-Adaptive Architecture for Few-Shot Classification Technical Report
2019.
Blockwisely Supervised Neural Architecture Search with Knowledge Distillation Technical Report
2019.
Artificial Neural Network and Accelerator Co-design using Evolutionary Algorithms Proceedings Article
In: pp. 1-8, 2019.
Auto-creation of Effective Neural Network Architecture by Evolutionary Algorithm and ResNet for Image Classification Proceedings Article
In: pp. 3895-3900, 2019.
EDAS - Efficient and Differentiable Architecture Search Technical Report
2019.
Ranking architectures using meta-learning Technical Report
2019.
Exploiting Operation Importance for Differentiable Neural Architecture Search Technical Report
2019.