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:
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
Yan Shen, Yu Zheng, Wei Ao, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 34
Showing 1-25 of 34 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
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
Changlin Li, Tao Tang, Guangrun Wang, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2021)
Open Access | Times Cited: 84
A Survey on Evolutionary Construction of Deep Neural Networks
Xun Zhou, A. K. Qin, Maoguo Gong, et al.
IEEE Transactions on Evolutionary Computation (2021) Vol. 25, Iss. 5, pp. 894-912
Open Access | Times Cited: 72
Xun Zhou, A. K. Qin, Maoguo Gong, et al.
IEEE Transactions on Evolutionary Computation (2021) Vol. 25, Iss. 5, pp. 894-912
Open Access | Times Cited: 72
HGNAS++: Efficient Architecture Search for Heterogeneous Graph Neural Networks
Yang Gao, Peng Zhang, Chuan Zhou, et al.
IEEE Transactions on Knowledge and Data Engineering (2023) Vol. 35, Iss. 9, pp. 9448-9461
Closed Access | Times Cited: 18
Yang Gao, Peng Zhang, Chuan Zhou, et al.
IEEE Transactions on Knowledge and Data Engineering (2023) Vol. 35, Iss. 9, pp. 9448-9461
Closed Access | Times Cited: 18
Neural Architecture Search with Random Labels
Xuanyang Zhang, Pengfei Hou, Xiangyu Zhang, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2021), pp. 10902-10911
Open Access | Times Cited: 34
Xuanyang Zhang, Pengfei Hou, Xiangyu Zhang, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2021), pp. 10902-10911
Open Access | Times Cited: 34
Neural architecture search: A contemporary literature review for computer vision applications
Matt Poyser, Toby P. Breckon
Pattern Recognition (2023) Vol. 147, pp. 110052-110052
Open Access | Times Cited: 15
Matt Poyser, Toby P. Breckon
Pattern Recognition (2023) Vol. 147, pp. 110052-110052
Open Access | Times Cited: 15
Interpreting the Mechanism of Synergism for Drug Combinations Using Attention-Based Hierarchical Graph Pooling
Zehao Dong, Heming Zhang, Yixin Chen, et al.
Cancers (2023) Vol. 15, Iss. 17, pp. 4210-4210
Open Access | Times Cited: 9
Zehao Dong, Heming Zhang, Yixin Chen, et al.
Cancers (2023) Vol. 15, Iss. 17, pp. 4210-4210
Open Access | Times Cited: 9
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
Lingxi Xie, Xin Chen, Kaifeng Bi, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 23
Self-Supervised Representation Learning for Evolutionary Neural Architecture Search
Chen Wei, Yiping Tang, Chuang Niu, et al.
IEEE Computational Intelligence Magazine (2021) Vol. 16, Iss. 3, pp. 33-49
Open Access | Times Cited: 17
Chen Wei, Yiping Tang, Chuang Niu, et al.
IEEE Computational Intelligence Magazine (2021) Vol. 16, Iss. 3, pp. 33-49
Open Access | Times Cited: 17
Neural Architecture Search with Representation Mutual Information
Xiawu Zheng, Xiang Fei, Lei Zhang, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 11902-11911
Closed Access | Times Cited: 10
Xiawu Zheng, Xiang Fei, Lei Zhang, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 11902-11911
Closed 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
Colin White, Sam Nolen, Yash Savani
arXiv (Cornell University) (2020)
Closed Access | Times Cited: 13
Smooth Variational Graph Embeddings for Efficient Neural Architecture Search
Jovita Lukasik, David Friede, Arber Zela, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2021), pp. 1-8
Open Access | Times Cited: 11
Jovita Lukasik, David Friede, Arber Zela, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2021), pp. 1-8
Open Access | Times Cited: 11
Pi-NAS: Improving Neural Architecture Search by Reducing Supernet Training Consistency Shift
Jiefeng Peng, Jiqi Zhang, Changlin Li, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2021) Vol. 33, pp. 12334-12344
Open Access | Times Cited: 8
Jiefeng Peng, Jiqi Zhang, Changlin Li, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2021) Vol. 33, pp. 12334-12344
Open Access | Times Cited: 8
Graph-based Neural Architecture Search with Operation Embeddings
Michail Chatzianastasis, George Dasoulas, Georgios Siolas, et al.
(2021), pp. 393-402
Open Access | Times Cited: 8
Michail Chatzianastasis, George Dasoulas, Georgios Siolas, et al.
(2021), pp. 393-402
Open Access | Times Cited: 8
Self-supervised Representation Learning for Evolutionary Neural Architecture Search
Chen Wei, Yiping Tang, Chuang Niu, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 5
Chen Wei, Yiping Tang, Chuang Niu, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 5
RANK-NOSH: Efficient Predictor-Based Architecture Search via Non-Uniform Successive Halving
Ruochen Wang, Xiangning Chen, Minhao Cheng, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2021) Vol. 33, pp. 10357-10366
Open Access | Times Cited: 5
Ruochen Wang, Xiangning Chen, Minhao Cheng, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2021) Vol. 33, pp. 10357-10366
Open Access | Times Cited: 5
Meta-Learning applied to Neural Architecture Search. Towards new interactive learning approaches for indexing and analyzing images from expert domains
Gean Trindade Pereira
(2024)
Open Access
Gean Trindade Pereira
(2024)
Open Access
Differentiable Architecture Search Without Training Nor Labels: A Pruning Perspective.
Miao Zhang, Steven W. Su, Shirui Pan, et al.
arXiv (Cornell University) (2021)
Closed Access | Times Cited: 4
Miao Zhang, Steven W. Su, Shirui Pan, et al.
arXiv (Cornell University) (2021)
Closed Access | Times Cited: 4
Learning Latent Architectural Distribution in Differentiable Neural Architecture Search via Variational Information Maximization
Yaoming Wang, Yuchen Liu, Wenrui Dai, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2021)
Closed Access | Times Cited: 4
Yaoming Wang, Yuchen Liu, Wenrui Dai, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2021)
Closed Access | Times Cited: 4
Search Space Reconstructing for Neural Architecture Search
Yuzhuo Gao, Hao Li, Chao Wu
(2024), pp. 151-156
Closed Access
Yuzhuo Gao, Hao Li, Chao Wu
(2024), pp. 151-156
Closed Access
A Hybrid Search Method for Accelerating Convolutional Neural Architecture Search
Xun Zhou, Songbai Liu, Ka-Chun Wong, et al.
(2023), pp. 177-182
Closed Access | Times Cited: 1
Xun Zhou, Songbai Liu, Ka-Chun Wong, et al.
(2023), pp. 177-182
Closed Access | Times Cited: 1
PatchNAS: Repairing DNNs in Deployment with Patched Network Architecture Search
Yuchu Fang, Wenzhong Li, Yao Zeng, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 12, pp. 14811-14819
Open Access | Times Cited: 1
Yuchu Fang, Wenzhong Li, Yao Zeng, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 12, pp. 14811-14819
Open Access | Times Cited: 1
Two-stage Neural Architecture Optimization with Separated Training and Search
Longze He, Boyu Hou, Junwei Dong, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2023), pp. 1-8
Closed Access | Times Cited: 1
Longze He, Boyu Hou, Junwei Dong, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2023), pp. 1-8
Closed Access | Times Cited: 1
GQNAS: Graph Q Network for Neural Architecture Search
Yijian Qin, Xin Wang, Peng Cui, et al.
2021 IEEE International Conference on Data Mining (ICDM) (2021), pp. 1288-1293
Closed Access | Times Cited: 3
Yijian Qin, Xin Wang, Peng Cui, et al.
2021 IEEE International Conference on Data Mining (ICDM) (2021), pp. 1288-1293
Closed Access | Times Cited: 3
