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Freiburg-Hannover-Tübingen

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.


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42.

Simsek, Ozlem Imik; Alagoz, Baris Baykant

Optimal architecture artificial neural network model design with exploitative alpha gray wolf optimization for soft calibration of CO concentration measurements in electronic nose applications Journal Article

In: Transactions of the Institute of Measurement and Control, vol. 0, no. 0, pp. 01423312221119648, 0000.

Abstract | Links | BibTeX

41.

Soniya,; Singh, Lotika; Paul, Sandeep

Hybrid evolutionary network architecture search (HyENAS) for convolution class of deep neural networks with applications Journal Article

In: Expert Systems, vol. n/a, no. n/a, pp. e12690, 0000.

Abstract | Links | BibTeX

40.

Zhang, Bao Feng; Zhou, Guo Qiang

Control the number of skip-connects to improve robustness of the NAS algorithm Journal Article

In: IET Computer Vision, vol. n/a, no. n/a, 0000.

Abstract | Links | BibTeX

39.

Shashirangana, Jithmi; Padmasiri, Heshan; Meedeniya, Dulani; Perera, Charith; Nayak, Soumya R; Nayak, Janmenjoy; Vimal, Shanmuganthan; Kadry, Seifidine

License plate recognition using neural architecture search for edge devices Journal Article

In: International Journal of Intelligent Systems, vol. n/a, no. n/a, 0000.

Abstract | Links | BibTeX

38.

Wang, Xingbin; Zhao, Boyan; Hou, Rui; Awad, Amro; Tian, Zhihong; Meng, Dan

NASGuard: A Novel Accelerator Architecture for Robust Neural Architecture Search (NAS) Networks Inproceedings

In: 2021 ACM/IEEE 48th Annual International Symposium on Computer Architecture (ISCA), 0000.

Links | BibTeX

37.

Zhang, Jianwei; Li, Dong; Wang, Lituan; Zhang, Lei

One-Shot Neural Architecture Search by Dynamically Pruning Supernet in Hierarchical Order Journal Article

In: International Journal of Neural Systems, 0000, (PMID: 34128778).

Abstract | Links | BibTeX

36.

Li, Xiao; Lei, Lin; Kuang, Gangyao

Multi-Modal Fusion Architecture Search for Land over Classification using Heterogeneous Remote Sensing Images Technical Report

0000.

Links | BibTeX

35.

Sapra, Dolly; Pimentel, Andy D.

Designing convolutional neural networks with constrained evolutionary piecemeal training Journal Article

In: Applied Intelligence , 0000.

Links | BibTeX

34.

Artin, Javad; Valizadeh, Amin; Ahmadi, Mohsen; Kumar, Sathish A. P.; Sharifi, Abbas

Presentation of a Novel Method for Prediction of Traffic with Climate Condition Based on Ensemble Learning of Neural Architecture Search (NAS) and Linear Regression Journal Article

In: Complexity, 0000.

Abstract | Links | BibTeX

33.

Gong, Yunhong; Sun, Yanan; Peng, Dezhong; Chen, Peng; Yan, Zhongtai; Yang, Ke

Analyze COVID-19 CT images based on evolutionary algorithm with dynamic searching space Journal Article

In: Complex & Intelligent Systems , 0000.

Links | BibTeX

32.

Cheng, Hsin-Pai

Efficient and Generalizable Neural Architecture Search for Visual Recognition PhD Thesis

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Links | BibTeX

31.

Zhu, Xunyu; Li, Jian; Liu, Yong; Liao, Jun; Wang, Weiping

Operation-level Progressive Differentiable Architecture Search Technical Report

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Links | BibTeX

30.

Huang, Sian-Yao; Chu, Wei-Ta

OSNASLib: One-Shot NAS Library Inproceedings

In: ICCV 2021 Workshop on Neural Architectures: Past, Present and Future, 0000.

Links | BibTeX

29.

Madhu, G.; Bharadwaj, B. Lalith; Boddeda, Rohit; Vardhan, Sai; Kautish, K. Sandeep; Alnowibet, Khalid; Alrasheedi, Adel F.; Mohamed, Ali Wagdy

Deep Stacked Ensemble Learning Model for COVID-19 Classification Technical Report

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Links | BibTeX

28.

Kandukuri, Nikhil; Sakhtivel, Sangeetha; Xie, Pengtao

Neural Architecture Search For Skin Cancer Detection Technical Report

0000.

Links | BibTeX

27.

Jiang, Yingying; Gan, Zhuoxin; Lin, Ke; A, Yong

AttNAS: Searching Attentions for Lightweight Semantic Segmentation Inproceedings

In: British Machine Vision Conference (BMVC) 2021, 0000.

Links | BibTeX

26.

Loni, Mohammad; Mousavi, Hamid; Riazati, Mohammad; Daneshtalab, Masoud; Sjödin, Mikael

TAS : Ternarized Neural Architecture Search for Resource-Constrained Edge Devices Inproceedings

In: Design, Automation and Test in Europe ConferenceDesign, Automation and Test in Europe Conference (DATE) 2022, ANTWERP, BELGIUM :, 0000.

Abstract | Links | BibTeX

25.

Ma, Zhiyuan; Yu, Wenting; Zhang, Peng; Huang, Zhi; Lin, Anni; Xia, Yan

LPI Radar Waveform Recognition Based on Neural Architecture Search Journal Article

In: Computational Intelligence and Neuroscience, vol. 2022, 0000.

Links | BibTeX

24.

Salam, Hanan; Manoranjan, Viswonathan; Jian, Jiang; Celiktutan, Oya

Learning Personalised Models for Automatic Self-Reported Personality Recognition Technical Report

0000.

Links | BibTeX

23.

Dhanaraja, Mayur; Dob, Huyen; Nairb, Dinesh; Xub, Cong

Leveraging Tensor Methods in Neural Architecture Search for the automatic development of lightweight Convolutional Neural Networks Journal Article

In: 0000.

Links | BibTeX

22.

Yang, Chengrun; Bender, Gabriel; Liu, Hanxiao; Kindermans, Pieter-Jan; Udell, Madeleine; Lu, Yifeng; Le, Quoc; Huang, Da

TabNAS: Rejection Sampling for Neural Architecture Search on Tabular Datasets Technical Report

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Links | BibTeX

21.

Hao, Yao; Zhang, Xizhe; Wang, Jie; Zhao, Tianyu; Sun, Baozhou

Improvement of IMRT QA prediction using imaging-based neural architecture search Journal Article

In: Medical Physics, vol. n/a, no. n/a, 0000.

Abstract | Links | BibTeX

20.

Zhai, Qihang; Li, Yan; Zhang, Zilin; Li, Yunjie; Wang, Shafei

Adaptive feature extraction and fine-grained modulation recognition of multi-function radar under small sample conditions Journal Article

In: IET Radar, Sonar & Navigation, vol. n/a, no. n/a, 0000.

Abstract | Links | BibTeX

19.

Wang, Ye-Qun; Li, Jian-Yu; Chen, Chun-Hua; Zhang, Jun; Zhan, Zhi-Hui

Scale adaptive fitness evaluation-based particle swarm optimisation for hyperparameter and architecture optimisation in neural networks and deep learning Journal Article

In: CAAI Transactions on Intelligence Technology, vol. n/a, no. n/a, 0000.

Abstract | Links | BibTeX

18.

Hu, Weifei; jinyi Shao,; Jiao, Qing; Wang, Chuxuan; Cheng, Jin; Liu, Zhenyu; Tan, Jianrong

A new differentiable architecture search method for optimizing convolutional neural networks in the digital twin of intelligent robotic grasping Journal Article

In: Journal of Intelligent Manufacturing, 0000.

Links | BibTeX

17.

Xue, Fanghui

Relaxation and Optimization for Automated Learning of Neural Network Architectures DISSERTATION PhD Thesis

0000.

Links | BibTeX

16.

Mokhtari, Nassim; Nédélec, Alexis; Gilles, Marlene; Loor, Pierre De

Improving Neural Architecture Search by Mixing a FireFly algorithm with a Training Free Evaluation Technical Report

0000.

BibTeX

15.

Duggal, Rahul

Robust Efficient Edge AI: New Principles and Frameworks for Empowering Artifical Intelligence on Edge Device ON EDGE DEVICES PhD Thesis

0000.

Links | BibTeX

14.

Wen, Hao; Kang, Jingsu

Searching for Effective Neural Network Architectures for Heart Murmur Detection from Phonocardiogram Technical Report

0000.

Links | BibTeX

13.

Loni, Mohammad

Efficient Design of Scalable Deep Neural Networks for Resource-Constrained Edge Devices PhD Thesis

0000.

Links | BibTeX

12.

Wenfeng Feng and, Xin Zhang; Song, Qiushuang; Sun, Guoying

Incoherence of Deep Isotropic Neural Networks increase their performance on Image Classification Technical Manual

0000.

Links | BibTeX

11.

Malkova, Aleksandra; Amini, Massih-Reza; Denis, Benoit; Villien, Christophe

Radio Map Reconstruction with Deep Neural Networks in a Weakly Labeled Learning Context with use of Heterogeneous Side Information Technical Manual

0000.

Links | BibTeX

10.

Aboalam, Kawther; Neuswirth, Christoph; Pernau, Florian; Schiebel, Stefan; Spaethe, Fabian; Strohrmann, Manfred

Image Processing and Neural Network Optimization Methods for Automatic Visual Inspection Technical Manual

0000.

Links | BibTeX

9.

Mishra, Vidyanand; Kane, Lalit

A survey of designing convolutional neural network using evolutionary algorithms Journal Article

In: Artificial Intelligence Review, 0000.

Links | BibTeX

8.

Sun, Yanan; Yen, Gary G.; Zhang, Mengjie

Evolutionary Deep Neural Architecture Search: Fundamentals, Methods, and recent AdvanceYa Book

0000.

Links | BibTeX

7.

Park, Minje

Proxy Data Generation for Fast and Efficient Neural Architecture Search Journal Article

In: Journal of Electrical Engineering & Technology 2022, 0000.

Links | BibTeX

6.

Singh, Yeshwant; Biswas, Anupam

Lightweight convolutional neural network architecture design for music genre classification using evolutionary stochastic hyperparameter selection Journal Article

In: Expert Systems, vol. n/a, no. n/a, pp. e13241, 0000.

Abstract | Links | BibTeX

5.

Gupta, Pritha; Drees, Jan Peter; Hüllermeier, Eyke

Automated Side-Channel Attacks using Black-Box Neural Architecture Search Technical Report

0000.

Links | BibTeX

4.

Pandelea, Vlad; Ragusa, Edoardo; Gastaldo, Paolo; Cambria, Erik

SELECTING LANGUAGE MODELS FEATURES VIA SOFTWARE-HARDWARE CO-DESIGN Miscellaneous

0000.

Links | BibTeX

3.

Huynh, Lam

FROM 3D SENSING TO DENSE PREDICTION PhD Thesis

0000.

Links | BibTeX

2.

Cho, Minsu

Deep Learning Model Design Algorithms for High-Performing Plaintext and Ciphertext Inference PhD Thesis

0000.

Links | BibTeX

1.

Zhou, Dongzhan

Designing Deep Model and Training Paradigm for Object Perception PhD Thesis

0000.

Links | BibTeX

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