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Literature on Neural Architecture Search

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.


3102 entries « 43 of 63 »

2021

1002.

Zhang, Feifei; Ge, Jidong; Wong, Chifong; Zhang, Sheng; Li, Chuanyi; Luo, Bin

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.

Links | BibTeX

1001.

Salam, Hanan; Celiktutan, Oya; Mukherjee, Himadri; Manoranjan, Viswonathan; Ismail, Iman

Fact sheet: Automatic self-reported personality recognition Track Proceedings Article

In: ICCV 2021 Understanding Social Behavior in Dyadic and Small Group Interactions Challenge, 2021.

Abstract | Links | BibTeX

1000.

Phan, Quan Minh; Luong, Ngoc Hoang

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.

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999.

Wang, Zhehui; Luo, Tao; Li, Miqing; Zhou, Joey Tianyi; Goh, Rick Siow Mong; Zhen, Liangli

Evolutionary Multi-Objective Model Compression for Deep Neural Networks Journal Article

In: IEEE Computational Intelligence Magazine, vol. 16, no. 3, pp. 10-21, 2021.

Links | BibTeX

998.

Soni, Ashutosh; Patidar, Tushar; M, Rajesh Kumar; P, Bharath K; S, Balaji; Rajendran, Rajkamal

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.

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997.

Wu, Xuan; Zhang, Xiuyi; Jia, Linhan; Chen, Liang; Liang, Yanchun; Zhou, You; Wu, Chunguo

Neural Architecture Search based on Cartesian Genetic Programming Coding Method Journal Article

In: Neural and Evolutionary Computing, 2021.

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996.

Waqas, Asim; Rasool, Ghulam; Farooq, Hamza; Bouaynaya, Nidhal C.

Exploring Robustness of Neural Networks through Graph Measures Technical Report

2021.

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995.

Saxena, Nayan; Wu, Robert; Jain, Rohan

Towards One Shot Search Space Poisoning in Neural Architecture Search Technical Report

2021.

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994.

Wu, Xinle; Zhang, Dalin; Guo, Chenjuan; He, Chaoyang; Yang, Bin; Jensen, Christian S.

AutoCTS: Automated Correlated Time Series Forecasting Journal Article

In: Proc. VLDB Endow., vol. 15, no. 4, pp. 971–983, 2021.

Links | BibTeX

993.

Tang, Shiyu; Gong, Ruihao; Wang, Yan; Liu, Aishan; Wang, Jiakai; Chen, Xinyun; Yu, Fengwei; Liu, Xianglong; Song, Dawn; Yuille, Alan L.; Torr, Philip H. S.; Tao, Dacheng

RobustART: Benchmarking Robustness on Architecture Design and Training Techniques Technical Report

2021.

Links | BibTeX

992.

Salinas, Nelly Rosaura Palacios; Baratchi, Mitra; Rijn, Jan N.; Vollrath, Andreas

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.

Links | BibTeX

991.

Lyu, Fuyuan; Tang, Xing; Guo, Huifeng; Tang, Ruiming; He, Xiuqiang; Zhang, Rui; Liu, Xue

Memorize, Factorize, or be Na$backslash$ Technical Report

2021.

BibTeX

990.

Zhang, Lijun; Liu, Xiao; Guan, Hui

AutoMTL: A Programming Framework for Automated Multi-Task Learning Proceedings Article

In: NeurIPS 2022, 2021.

BibTeX

989.

Schiessler, Elisabeth J.; Aydin, Roland C.; Linka, Kevin; Cyron, Christian J.

Neural network surgery: Combining training with topology optimization Journal Article

In: Neural Networks, vol. 144, pp. 384-393, 2021, ISSN: 0893-6080.

Abstract | Links | BibTeX

2020

988.

Hu, Mentao; Liu, Li; Wang, Wei; Liu, Yao

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.

Links | BibTeX

987.

Sadiq, Sulaiman; Maji, Partha; Hare, Jonathon; Merrett, Geoff

DEff-ARTS: differentiable efficient ARchiTecture search Technical Report

2020.

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986.

Borrego-Carazo, J; Castells-Rufas, D; Carrabina, J; Biempica, E

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.

Abstract | Links | BibTeX

985.

Liu, Hao; Li, Dong; Peng, JinZhang; Zhao, Qingjie; Tian, Lu; Shan, Yi

MTNAS: Search Multi-Task Networks for Autonomous Driving Technical Report

2020.

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984.

Miriyala, Srinivas Soumitri; Banerjee, Raja; Mitra, Kishalay

Uncertainty quantification using Auto-tuned Surrogates of CFD model Simulating Supersonic flow over tactical missile body Proceedings Article

In: pp. 2885-2892, 2020.

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983.

Miriyala, Srinivas Soumitri; Chowdhury, Subhankar; Pujari, NagaSree Keerthi; Mitra, Kishalay

Optimally designed Variational Autoencoders for Efficient Wind Characteristics Modelling Proceedings Article

In: pp. 2869-2876, 2020.

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982.

Garciarena, Unai; Santana, Roberto; Mendiburu, Alexander

EvoFlow - A Python library for evolving deep neural network architectures in tensorflow Proceedings Article

In: pp. 2288-2295, 2020.

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981.

McGhie, Abigail; Xue, Bing; Zhang, Mengjie

GPCNN - Evolving Convolutional Neural Networks using Genetic Programming Proceedings Article

In: pp. 2684-2691, 2020.

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980.

Dong, Junwei; Zhang, Liangjie; Hou, Boyu; Feng, Liang

A Memetic Algorithm for Evolving Deep Convolutional Neural Network in Image Classification Proceedings Article

In: pp. 2663-2669, 2020.

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979.

Palmero, Cristina; Komogortsev, Oleg V; Talathi, Sachin S

Benefits of temporal information for appearance-based gaze estimation Technical Report

2020.

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978.

Kedziora, David Jacob; Musial, Katarzyna; Gabrys, Bogdan

AutonoML - Towards an Integrated Framework for Autonomous Machine Learning Technical Report

2020.

Links | BibTeX

977.

Ma, Ningning; Zhang, Xiangyu; Huang, Jiawei; Sun, Jian

WeightNet - Revisiting the Design Space of Weight Networks Proceedings Article

In: pp. 776-792, 2020.

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976.

Zhang, Chunhui; Liang, Yongyuan; Yuan, Xiaoming; Cheng, Lei

FDNAS: Improving Data Privacy and Model Diversity in AutoML Technical Report

2020.

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975.

Calisto, Maria Baldeon; Lai-Yuen, Susana

Neural Architecture Search with an Efficient Multiobjective Evolutionary Framework Technical Report

2020.

Links | BibTeX

974.

Sinha, Nilotpal; Chen, Kuan-Wen

Evolving Neural Architecture Using One Shot Model Technical Report

2020.

Links | BibTeX

973.

Fu, Yonggan; Yu, Zhongzhi; Zhang, Yongan; Lin, Yingyan

Auto-Agent-Distiller - Towards Efficient Deep Reinforcement Learning Agents via Neural Architecture Search Technical Report

2020.

Links | BibTeX

972.

Zhang, Haokui; Li, Ying; Gong, Chengrong; Chen, Hao; Bai, Zongwen; Shen, Chunhua

Memory-Efficient Hierarchical Neural Architecture Search for Image Restoration Technical Report

2020.

Links | BibTeX

971.

Hosseini, Ramtin; Xie, Pengtao

Learning by Self-Explanation, with Application to Neural Architecture Search Technical Report

2020.

Links | BibTeX

970.

Du, Xuefeng; Xie, Pengtao

Small-Group Learning, with Application to Neural Architecture Search Technical Report

2020.

Links | BibTeX

969.

Kim, Heewon; Baik, Sungyong; Choi, Myungsub; Choi, Janghoon; Lee, Kyoung Mu

Searching for Controllable Image Restoration Networks Technical Report

2020.

Links | BibTeX

968.

Hou, Pengfei; Jin, Ying

Single-level Optimization For Differential Architecture Search Technical Report

2020.

Links | BibTeX

967.

Lankford, Séamus; Grimes, Diarmuid

Neural Architecture Search using Particle Swarm and Ant Colony Optimization Proceedings Article

In: pp. 229-240, 2020.

Links | BibTeX

966.

Ning, Xuefei; Tang, Changcheng; Li, Wenshuo; Yang, Songyi; Zhao, Tianchen; Zhang, Niansong; Lu, Tianyi; Liang, Shuang; Yang, Huazhong; Wang, Yu

aw_nas: A Modularized and Extensible NAS framework Technical Report

2020.

Links | BibTeX

965.

Luo, Xiangzhong; Liu, Di; Kong, Hao; Liu, Weichen

EdgeNAS - Discovering Efficient Neural Architectures for Edge Systems Proceedings Article

In: pp. 288-295, 2020.

Links | BibTeX

964.

Fan, Hongxiang; Ferianc, Martin; Liu, Shuanglong; Que, Zhiqiang; Niu, Xinyu; Luk, Wayne

Optimizing FPGA-Based CNN Accelerator Using Differentiable Neural Architecture Search Proceedings Article

In: pp. 465-468, 2020.

Links | BibTeX

963.

Peter, David; Roth, Wolfgang; Pernkopf, Franz

Resource-efficient DNNs for Keyword Spotting using Neural Architecture Search and Quantization Technical Report

2020.

Links | BibTeX

962.

Rakhshani, Hojjat; Idoumghar, Lhassane; Ghambari, Soheila; Lepagnot, Julien; Brévilliers, Mathieu

On the performance of deep learning for numerical optimization - an application to protein structure prediction Technical Report

2020.

Links | BibTeX

961.

Yuan, Gonglin; Xue, Bing; Zhang, Mengjie

A Graph-Based Approach to Automatic Convolutional Neural Network Construction for Image Classification Proceedings Article

In: pp. 1-6, 2020.

Links | BibTeX

960.

Zhu, Xinxin; Wang, Weining; Guo, Longteng; Liu, Jing

AutoCaption - Image Captioning with Neural Architecture Search Technical Report

2020.

Links | BibTeX

959.

Kashima, Taiga; Yamada, Yoshihiro; Saito, Shunta

Joint Search of Data Augmentation Policies and Network Architectures Technical Report

2020.

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958.

Wang, Chunnan; Wang, Hongzhi; Feng, Guosheng; Geng, Fei

Multi-Objective Neural Architecture Search Based on Diverse Structures and Adaptive Recommendation Technical Report

2020.

Links | BibTeX

957.

Moons, Bert; Noorzad, Parham; Skliar, Andrii; Mariani, Giovanni; Mehta, Dushyant; Lott, Chris; Blankevoort, Tijmen

Distilling Optimal Neural Networks - Rapid Search in Diverse Spaces Technical Report

2020.

Links | BibTeX

956.

Zhang, Wenqiang; Fang, Jiemin; Wang, Xinggang; Liu, Wenyu

EfficientPose - Efficient Human Pose Estimation with Neural Architecture Search Technical Report

2020.

Links | BibTeX

955.

Awad, Noor H; Mallik, Neeratyoy; Hutter, Frank

Differential Evolution for Neural Architecture Search Technical Report

2020.

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954.

Sato, Rei; Sakuma, Jun; Akimoto, Youhei

AdvantageNAS - Efficient Neural Architecture Search with Credit Assignment Technical Report

2020.

Links | BibTeX

953.

Gallo, Ignazio; Magistrali, Gabriele; Landro, Nicola; Grassa, Riccardo La

Improving the Efficient Neural Architecture Search via Rewarding Modifications Proceedings Article

In: pp. 1-6, 2020.

Links | BibTeX

3102 entries « 43 of 63 »