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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Bridging the Gap between Sample-based and One-shot Neural Architecture Search with BONAS
Shi Han, Renjie Pi, Hang Xu, et al.
arXiv (Cornell University) (2019)
Open Access | Times Cited: 49

Showing 1-25 of 49 citing articles:

BANANAS: Bayesian Optimization with Neural Architectures for Neural Architecture Search
Colin White, Willie Neiswanger, Yash Savani
Proceedings of the AAAI Conference on Artificial Intelligence (2021) Vol. 35, Iss. 12, pp. 10293-10301
Open Access | Times Cited: 180
BossNAS: Exploring Hybrid CNN-transformers with Block-wisely Self-supervised Neural Architecture Search
Changlin Li, Tao Tang, Guangrun Wang, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2021)
Open Access | Times Cited: 84
NAS-Bench-301 and the Case for Surrogate Benchmarks for Neural Architecture Search
Julien Siems, Lucas Zimmer, Arber Zela, et al.
(2021)
Closed Access | Times Cited: 82
Neural predictor based quantum architecture search
Shi‐Xin Zhang, Chang‐Yu Hsieh, Shengyu Zhang, et al.
Machine Learning Science and Technology (2021) Vol. 2, Iss. 4, pp. 045027-045027
Open Access | Times Cited: 59
Automated Machine Learning on Graphs: A Survey
Ziwei Zhang, Xin Wang, Wenwu Zhu
(2021)
Open Access | Times Cited: 56
A survey on computationally efficient neural architecture search
Shiqing Liu, Haoyu Zhang, Yaochu Jin
Journal of Automation and Intelligence (2022) Vol. 1, Iss. 1, pp. 100002-100002
Open Access | Times Cited: 32
TransNAS-Bench-101: Improving transferability and Generalizability of Cross-Task Neural Architecture Search
Yawen Duan, Xin Chen, Hang Xu, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2021)
Open Access | Times Cited: 33
Multi-Fidelity Neural Architecture Search With Knowledge Distillation
Ilya Trofimov, Nikita Klyuchnikov, Mikhail Salnikov, et al.
IEEE Access (2023) Vol. 11, pp. 59217-59225
Open Access | Times Cited: 13
Rethinking neural architecture representation for predictors: Topological encoding in pixel space
Caiyang Yu, Jian Wang, Yifan Wang, et al.
Information Fusion (2025), pp. 102925-102925
Closed Access
Sample-Efficient Neural Architecture Search by Learning Action Space
Linnan Wang, Saining Xie, Teng Li, et al.
arXiv (Cornell University) (2019)
Open Access | Times Cited: 39
Does Unsupervised Architecture Representation Learning Help Neural Architecture Search?
Yan Shen, Yu Zheng, Wei Ao, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 34
Auto Graph Encoder-Decoder for Neural Network Pruning
Sixing Yu, Arya Mazaheri, Ali Jannesari
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2021)
Open Access | Times Cited: 27
Arch-Graph: Acyclic Architecture Relation Predictor for Task-Transferable Neural Architecture Search
Minbin Huang, Zhijian Huang, Changlin Li, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 11871-11881
Open Access | Times Cited: 16
Joint-DetNAS: Upgrade Your Detector with NAS, Pruning and Dynamic Distillation
Lewei Yao, Renjie Pi, Hang Xu, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2021)
Open Access | Times Cited: 21
AutoBERT-Zero: Evolving BERT Backbone from Scratch
Jiahui Gao, Hang Xu, Shi Han, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2022) Vol. 36, Iss. 10, pp. 10663-10671
Open Access | Times Cited: 14
Weight-Sharing Neural Architecture Search: A Battle to Shrink the Optimization Gap
Lingxi Xie, Xin Chen, Kaifeng Bi, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 23
Evaluating Efficient Performance Estimators of Neural Architectures
Xuefei Ning, Changcheng Tang, Wenshuo Li, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 22
PINAT: A Permutation INvariance Augmented Transformer for NAS Predictor
Shun Lu, Yu Hu, Peihao Wang, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 7, pp. 8957-8965
Open Access | Times Cited: 7
A Generic Graph-based Neural Architecture Encoding Scheme for Predictor-based NAS
Xuefei Ning, Yin Zheng, Tianchen Zhao, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 20
BRP-NAS: Prediction-based NAS using GCNs
Łukasz Dudziak, Thomas Chau, Mohamed S. Abdelfattah, et al.
arXiv (Cornell University) (2020)
Closed Access | Times Cited: 18
One Proxy Device Is Enough for Hardware-Aware Neural Architecture Search
Bingqian Lu, Jianyi Yang, Weiwen Jiang, et al.
Proceedings of the ACM on Measurement and Analysis of Computing Systems (2021) Vol. 5, Iss. 3, pp. 1-34
Open Access | Times Cited: 15
Graph Masked Autoencoder Enhanced Predictor for Neural Architecture Search
Kun Jing, Jungang Xu, Pengfei Li
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence (2022), pp. 3114-3120
Open Access | Times Cited: 10
Local Search is State of the Art for Neural Architecture Search Benchmarks
Colin White, Sam Nolen, Yash Savani
arXiv (Cornell University) (2020)
Closed Access | Times Cited: 13
Fitting the Search Space of Weight-sharing NAS with Graph Convolutional Networks
Xin Chen, Lingxi Xie, Jun Wu, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2021) Vol. 35, Iss. 8, pp. 7064-7072
Open Access | Times Cited: 12
NAR-Former: Neural Architecture Representation Learning Towards Holistic Attributes Prediction
Yun Yi, Haokui Zhang, Wenze Hu, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023) Vol. 33, pp. 7715-7724
Open Access | Times Cited: 4
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