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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:

Bootstrap your own latent: A new approach to self-supervised Learning
Jean-Bastien Grill, Florian Strub, Florent Altché, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 2606

Showing 1-25 of 2606 citing articles:

Masked Autoencoders Are Scalable Vision Learners
Kaiming He, Xinlei Chen, Saining Xie, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022)
Open Access | Times Cited: 4097
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron, Hugo Touvron, Ishan Misra, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2021)
Open Access | Times Cited: 2864
Exploring Simple Siamese Representation Learning
Xinlei Chen, Kaiming He
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2021)
Open Access | Times Cited: 2414
Transformers in Vision: A Survey
Salman Khan, Muzammal Naseer, Munawar Hayat, et al.
ACM Computing Surveys (2022) Vol. 54, Iss. 10s, pp. 1-41
Open Access | Times Cited: 1922
On the Opportunities and Risks of Foundation Models
Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 1539
HuBERT: Self-Supervised Speech Representation Learning by Masked Prediction of Hidden Units
Wei-Ning Hsu, Benjamin Bolte, Yao-Hung Hubert Tsai, et al.
IEEE/ACM Transactions on Audio Speech and Language Processing (2021) Vol. 29, pp. 3451-3460
Open Access | Times Cited: 1168
Bottleneck Transformers for Visual Recognition
Aravind Srinivas, Tsung-Yi Lin, Niki Parmar, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2021), pp. 16514-16524
Open Access | Times Cited: 1019
An Empirical Study of Training Self-Supervised Vision Transformers
Xinlei Chen, Saining Xie, Kaiming He
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2021)
Open Access | Times Cited: 1009
SimMIM: a Simple Framework for Masked Image Modeling
Zhenda Xie, Zheng Zhang, Yue Cao, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 9643-9653
Open Access | Times Cited: 735
Model-Contrastive Federated Learning
Qinbin Li, Bingsheng He, Dawn Song
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2021)
Open Access | Times Cited: 718
Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision
Chao Jia, Yinfei Yang, Ye Xia, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 697
Self-supervised Learning: Generative or Contrastive
Xiao Liu, Fanjin Zhang, Zhenyu Hou, et al.
IEEE Transactions on Knowledge and Data Engineering (2021), pp. 1-1
Open Access | Times Cited: 655
Toward Causal Representation Learning
Bernhard Schölkopf, Francesco Locatello, Stefan Bauer, et al.
Proceedings of the IEEE (2021) Vol. 109, Iss. 5, pp. 612-634
Open Access | Times Cited: 640
Contrastive Learning for Compact Single Image Dehazing
Haiyan Wu, Yanyun Qu, Shaohui Lin, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2021), pp. 10546-10555
Open Access | Times Cited: 615
Transformers in medical imaging: A survey
Fahad Shamshad, Salman Khan, Syed Waqas Zamir, et al.
Medical Image Analysis (2023) Vol. 88, pp. 102802-102802
Open Access | Times Cited: 572
Contrastive Representation Learning: A Framework and Review
Phuc H. Le-Khac, Graham Healy, Alan F. Smeaton
IEEE Access (2020) Vol. 8, pp. 193907-193934
Open Access | Times Cited: 567
Scaling Vision Transformers
Xiaohua Zhai, Alexander Kolesnikov, Neil Houlsby, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 1204-1213
Open Access | Times Cited: 550
DINOv2: Learning Robust Visual Features without Supervision
Maxime Oquab, Timothée Darcet, Théo Moutakanni, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 513
Deep learning for AI
Yoshua Bengio, Yann LeCun, Geoffrey E. Hinton
Communications of the ACM (2021) Vol. 64, Iss. 7, pp. 58-65
Open Access | Times Cited: 463
Dense Contrastive Learning for Self-Supervised Visual Pre-Training
Xinlong Wang, Rufeng Zhang, Chunhua Shen, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2021)
Open Access | Times Cited: 461
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
Michael M. Bronstein, Joan Bruna, Taco Cohen, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 443
Contrastive Clustering
Yunfan Li, Peng Hu, Zitao Liu, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2021) Vol. 35, Iss. 10, pp. 8547-8555
Open Access | Times Cited: 437
UP-DETR: Unsupervised Pre-training for Object Detection with Transformers
Zhigang Dai, Bolun Cai, Yugeng Lin, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2021), pp. 1601-1610
Open Access | Times Cited: 409
Meta Pseudo Labels
Hieu Pham, Zihang Dai, Qizhe Xie, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2021)
Closed Access | Times Cited: 404
Prototypical Pseudo Label Denoising and Target Structure Learning for Domain Adaptive Semantic Segmentation
Pan Zhang, Bo Zhang, Ting Zhang, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2021), pp. 12409-12419
Open Access | Times Cited: 391
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