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.
2021
Optimal FPGA-oriented lightweight network architecture search under multi-objective constraints Proceedings Article
In: 2021 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom), New York City, NY, USA, September 30 - Oct. 3, 2021, pp. 978–983, IEEE, 2021.
Network Graph Based Neural Architecture Search Technical Report
2021.
Learning Interpretable Models Through Multi-Objective Neural Architecture Search Technical Report
2021.
M-FasterSeg: An Efficient Semantic Segmentation Network Based on Neural Architecture Search Technical Report
2021.
ADD: A Fine-grained Dynamic Inference Architecture for Semantic Image Segmentation Proceedings Article
In: 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 4792-4799, 2021.
Automated Deep Learning: Neural Architecture Search Is Not the End Technical Report
2021.
Efficient Gradient-Based Neural Architecture Search For End-to-End ASR Proceedings Article
In: Companion Publication of the 2021 International Conference on Multimodal Interaction, pp. 91–96, Association for Computing Machinery, Montreal, QC, Canada, 2021, ISBN: 9781450384711.
Enabling NAS with Automated Super-Network Generation Technical Report
2021.
AutoCTS: Automated Correlated Time Series Forecasting - Extended Version Technical Report
2021.
Surface defect detection method based on neural architecture search Proceedings Article
In: 2021 IEEE 3rd International Conference on Frontiers Technology of Information and Computer (ICFTIC), pp. 612-617, 2021.
Sailboat Detection Based on Automated Search Attention Mechanism and Deep Learning Models Proceedings Article
In: 2021 36th International Conference on Image and Vision Computing New Zealand (IVCNZ), pp. 1-6, 2021.
QENAS: Q-Learning for Efficient Neural Architecture Search Technical Report
2021.
Learn Layer-wise Connections in Graph Neural Networks Technical Report
2021.
Finger-Vein Recognition Using a NASNet with a Cutout Proceedings Article
In: 2021 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS), pp. 1-2, 2021.
DARTS without a Validation Set: Optimizing the Marginal Likelihood Technical Report
2021.
Progressive Automatic Design of Search Space for One-Shot Neural Architecture Search Proceedings Article
In: WACV2022, 2021.
SPIDER: Searching Personalized Neural Architecture for Federated Learning Technical Report
2021.
Designing the Topology of Graph Neural Networks: A Novel Feature Fusion Perspective Technical Report
2021.
Automated Reinforcement Learning Based on Parameter Sharing Network Architecture Search Proceedings Article
In: 2021 6th International Conference on Robotics and Automation Engineering (ICRAE), pp. 358-363, 2021.
ECT-NAS: Searching Efficient CNN-Transformers Architecture for Medical Image Segmentation Proceedings Article
In: 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), pp. 1601-1604, 2021.
Personalized Neural Architecture Search Proceedings Article
In: 2021 International Conference on Data Mining Workshops (ICDMW), pp. 581-590, 2021.
Neural Architecture Search and Multi-Objective Evolutionary Algorithms for Anomaly Detection Proceedings Article
In: 2021 International Conference on Data Mining Workshops (ICDMW), pp. 1001-1008, 2021.
AutoDerain: Memory-efficient Neural Architecture Search for Image Deraining Proceedings Article
In: 2021 International Conference on Visual Communications and Image Processing (VCIP), pp. 1-5, 2021.
Network Pruning Based On Architecture Search and Intermediate Representation Proceedings Article
In: 2021 18th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP), pp. 230-233, 2021.
Robustifying DARTS by Eliminating Information Bypass Leakage via Explicit Sparse Regularization Proceedings Article
In: 2021 IEEE International Conference on Data Mining (ICDM), pp. 877-885, 2021.
Pruned Genetic-NAS on GPU Accelerator Platforms with Chaos-on-Edge Hyperparameters Proceedings Article
In: 2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA), pp. 958-963, 2021.
E-DARTS: Enhanced Differentiable Architecture Search for Acoustic Scene Classification Proceedings Article
In: 2021 16th International Conference on Computer Engineering and Systems (ICCES), pp. 1-6, 2021.
Optimizing Federated Edge Learning on Non-IID Data via Neural Architecture Search Proceedings Article
In: 2021 IEEE Global Communications Conference (GLOBECOM), pp. 1-6, 2021.
Fact sheet: Automatic self-reported personality recognition Track Proceedings Article
In: ICCV 2021 Understanding Social Behavior in Dyadic and Small Group Interactions Challenge, 2021.
Efficiency Enhancement of Evolutionary Neural Architecture Search via Training-Free Initialization Proceedings Article
In: 2021 8th NAFOSTED Conference on Information and Computer Science (NICS), pp. 138-143, 2021.
Evolutionary Multi-Objective Model Compression for Deep Neural Networks Journal Article
In: IEEE Computational Intelligence Magazine, vol. 16, no. 3, pp. 10-21, 2021.
Iris Recognition using Hough Transform and Neural Architecture Search Network Proceedings Article
In: 2021 Innovations in Power and Advanced Computing Technologies (i-PACT), pp. 1-5, 2021.
Neural Architecture Search based on Cartesian Genetic Programming Coding Method Journal Article
In: Neural and Evolutionary Computing, 2021.
Exploring Robustness of Neural Networks through Graph Measures Technical Report
2021.
Towards One Shot Search Space Poisoning in Neural Architecture Search Technical Report
2021.
AutoCTS: Automated Correlated Time Series Forecasting Journal Article
In: Proc. VLDB Endow., vol. 15, no. 4, pp. 971–983, 2021.
RobustART: Benchmarking Robustness on Architecture Design and Training Techniques Technical Report
2021.
Automated Machine Learning for Satellite Data: Integrating Remote Sensing Pre-trained Models into AutoML Systems Proceedings Article
In: Dong, Yuxiao; Kourtellis, Nicolas; Hammer, Barbara; Lozano, José Antonio (Ed.): Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track - European Conference, ECML PKDD 2021, Bilbao, Spain, September 13-17, 2021, Proceedings, Part V, pp. 447–462, Springer, 2021.
Memorize, Factorize, or be Na$backslash$ Technical Report
2021.
AutoMTL: A Programming Framework for Automated Multi-Task Learning Proceedings Article
In: NeurIPS 2022, 2021.
Neural network surgery: Combining training with topology optimization Journal Article
In: Neural Networks, vol. 144, pp. 384-393, 2021, ISSN: 0893-6080.
2020
APENAS: An Asynchronous Parallel Evolution Based Multi-objective Neural Architecture Search Proceedings Article
In: 2020 IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA), 2020.
DEff-ARTS: differentiable efficient ARchiTecture search Technical Report
2020.
Extending SpArSe: Automatic Gesture Recognition Architectures for Embedded Devices Proceedings Article
In: 2020 19th IEEE International Conference on Machine Learning and Applications (ICMLA), pp. 7-12, 2020.
MTNAS: Search Multi-Task Networks for Autonomous Driving Technical Report
2020.
Uncertainty quantification using Auto-tuned Surrogates of CFD model Simulating Supersonic flow over tactical missile body Proceedings Article
In: pp. 2885-2892, 2020.
Optimally designed Variational Autoencoders for Efficient Wind Characteristics Modelling Proceedings Article
In: pp. 2869-2876, 2020.
EvoFlow - A Python library for evolving deep neural network architectures in tensorflow Proceedings Article
In: pp. 2288-2295, 2020.