Self-supervised learning (English Wikipedia)

Analysis of information sources in references of the Wikipedia article "Self-supervised learning" in English language version.

refsWebsite

Global rank English rank

19doi.org

2^nd place

9arxiv.org

69^th place

59^th place

7semanticscholar.org

11^th place

8^th place

4nih.gov

4^th place

3worldcat.org

5^th place

2facebook.com

77^th place

111^th place

2harvard.edu

18^th place

17^th place

1medium.com

551^st place

406^th place

1ieee.org

652^nd place

515^th place

1researchgate.net

120^th place

125^th place

1nature.com

234^th place

397^th place

1mlr.press

low place

1googleblog.com

1,272^nd place

837^th place

arxiv.org (Global: 69^th place; English: 59^th place)

Doersch, Carl; Zisserman, Andrew (October 2017). "Multi-task Self-Supervised Visual Learning". 2017 IEEE International Conference on Computer Vision (ICCV). IEEE. pp. 2070–2079. arXiv:1708.07860. doi:10.1109/iccv.2017.226. ISBN 978-1-5386-1032-9. S2CID 473729.
Beyer, Lucas; Zhai, Xiaohua; Oliver, Avital; Kolesnikov, Alexander (October 2019). "S4L: Self-Supervised Semi-Supervised Learning". 2019 IEEE/CVF International Conference on Computer Vision (ICCV). IEEE. pp. 1476–1485. arXiv:1905.03670. doi:10.1109/iccv.2019.00156. ISBN 978-1-7281-4803-8. S2CID 167209887.
Doersch, Carl; Gupta, Abhinav; Efros, Alexei A. (December 2015). "Unsupervised Visual Representation Learning by Context Prediction". 2015 IEEE International Conference on Computer Vision (ICCV). IEEE. pp. 1422–1430. arXiv:1505.05192. doi:10.1109/iccv.2015.167. ISBN 978-1-4673-8391-2. S2CID 9062671.
Gidaris, Spyros; Bursuc, Andrei; Komodakis, Nikos; Perez, Patrick Perez; Cord, Matthieu (October 2019). "Boosting Few-Shot Visual Learning with Self-Supervision". 2019 IEEE/CVF International Conference on Computer Vision (ICCV). IEEE. pp. 8058–8067. arXiv:1906.05186. doi:10.1109/iccv.2019.00815. ISBN 978-1-7281-4803-8. S2CID 186206588.
Oord, Aaron van den; Li, Yazhe; Vinyals, Oriol (22 January 2019), Representation Learning with Contrastive Predictive Coding, arXiv:1807.03748
Littwin, Etai; Wolf, Lior (June 2016). "The Multiverse Loss for Robust Transfer Learning". 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE. pp. 3957–3966. arXiv:1511.09033. doi:10.1109/cvpr.2016.429. ISBN 978-1-4673-8851-1. S2CID 6517610.
Francois-Lavet, Vincent; Bengio, Yoshua; Precup, Doina; Pineau, Joelle (2019). "Combined Reinforcement Learning via Abstract Representations". Proceedings of the AAAI Conference on Artificial Intelligence. arXiv:1809.04506.
Wilcox, Ethan; Qian, Peng; Futrell, Richard; Kohita, Ryosuke; Levy, Roger; Ballesteros, Miguel (2020). "Structural Supervision Improves Few-Shot Learning and Syntactic Generalization in Neural Language Models". Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP). Stroudsburg, PA, USA: Association for Computational Linguistics. pp. 4640–4652. arXiv:2010.05725. doi:10.18653/v1/2020.emnlp-main.375. S2CID 222291675.
Grill, Jean-Bastien; Strub, Florian; Altché, Florent; Tallec, Corentin; Richemond, Pierre H.; Buchatskaya, Elena; Doersch, Carl; Pires, Bernardo Avila; Guo, Zhaohan Daniel; Azar, Mohammad Gheshlaghi; Piot, Bilal (10 September 2020). "Bootstrap your own latent: A new approach to self-supervised Learning". arXiv:2006.07733 [cs.LG].

doi.org (Global: 2^nd place; English: 2^nd place)

doi.org

Doersch, Carl; Zisserman, Andrew (October 2017). "Multi-task Self-Supervised Visual Learning". 2017 IEEE International Conference on Computer Vision (ICCV). IEEE. pp. 2070–2079. arXiv:1708.07860. doi:10.1109/iccv.2017.226. ISBN 978-1-5386-1032-9. S2CID 473729.
Beyer, Lucas; Zhai, Xiaohua; Oliver, Avital; Kolesnikov, Alexander (October 2019). "S4L: Self-Supervised Semi-Supervised Learning". 2019 IEEE/CVF International Conference on Computer Vision (ICCV). IEEE. pp. 1476–1485. arXiv:1905.03670. doi:10.1109/iccv.2019.00156. ISBN 978-1-7281-4803-8. S2CID 167209887.
Doersch, Carl; Gupta, Abhinav; Efros, Alexei A. (December 2015). "Unsupervised Visual Representation Learning by Context Prediction". 2015 IEEE International Conference on Computer Vision (ICCV). IEEE. pp. 1422–1430. arXiv:1505.05192. doi:10.1109/iccv.2015.167. ISBN 978-1-4673-8391-2. S2CID 9062671.
Zheng, Xin; Wang, Yong; Wang, Guoyou; Liu, Jianguo (April 2018). "Fast and robust segmentation of white blood cell images by self-supervised learning". Micron. 107: 55–71. doi:10.1016/j.micron.2018.01.010. ISSN 0968-4328. PMID 29425969. S2CID 3796689.
Gidaris, Spyros; Bursuc, Andrei; Komodakis, Nikos; Perez, Patrick Perez; Cord, Matthieu (October 2019). "Boosting Few-Shot Visual Learning with Self-Supervision". 2019 IEEE/CVF International Conference on Computer Vision (ICCV). IEEE. pp. 8058–8067. arXiv:1906.05186. doi:10.1109/iccv.2019.00815. ISBN 978-1-7281-4803-8. S2CID 186206588.
Gama, João (2014). "A Survey on Concept Drift Adaptation". ACM Computing Surveys. 46 (4): 1–37. doi:10.1145/2523813.
Xu, K.; Li, Y.; Deng, R.; Chen, K.; Xu, J. (2019). Self-Evolving Android Malware Detection System. IEEE European Symposium on Security and Privacy (EuroS&P). pp. 47–62. doi:10.1109/EuroSP.2019.00014 – via IEEE Xplore.
Kramer, Mark A. (1991). "Nonlinear principal component analysis using autoassociative neural networks" (PDF). AIChE Journal. 37 (2): 233–243. Bibcode:1991AIChE..37..233K. doi:10.1002/aic.690370209.
Becker, Suzanna; Hinton, Geoffrey E. (January 1992). "Self-organizing neural network that discovers surfaces in random-dot stereograms". Nature. 355 (6356): 161–163. Bibcode:1992Natur.355..161B. doi:10.1038/355161a0. ISSN 1476-4687. PMID 1729650.
Littwin, Etai; Wolf, Lior (June 2016). "The Multiverse Loss for Robust Transfer Learning". 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE. pp. 3957–3966. arXiv:1511.09033. doi:10.1109/cvpr.2016.429. ISBN 978-1-4673-8851-1. S2CID 6517610.
Wilcox, Ethan; Qian, Peng; Futrell, Richard; Kohita, Ryosuke; Levy, Roger; Ballesteros, Miguel (2020). "Structural Supervision Improves Few-Shot Learning and Syntactic Generalization in Neural Language Models". Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP). Stroudsburg, PA, USA: Association for Computational Linguistics. pp. 4640–4652. arXiv:2010.05725. doi:10.18653/v1/2020.emnlp-main.375. S2CID 222291675.
Gündüz, Hüseyin Anil; Binder, Martin; To, Xiao-Yin; Mreches, René; Bischl, Bernd; McHardy, Alice C.; Münch, Philipp C.; Rezaei, Mina (11 September 2023). "A self-supervised deep learning method for data-efficient training in genomics". Communications Biology. 6 (1): 928. doi:10.1038/s42003-023-05310-2. ISSN 2399-3642. PMC 10495322. PMID 37696966.

dx.doi.org

Doersch, Carl; Zisserman, Andrew (October 2017). "Multi-task Self-Supervised Visual Learning". 2017 IEEE International Conference on Computer Vision (ICCV). IEEE. pp. 2070–2079. arXiv:1708.07860. doi:10.1109/iccv.2017.226. ISBN 978-1-5386-1032-9. S2CID 473729.
Beyer, Lucas; Zhai, Xiaohua; Oliver, Avital; Kolesnikov, Alexander (October 2019). "S4L: Self-Supervised Semi-Supervised Learning". 2019 IEEE/CVF International Conference on Computer Vision (ICCV). IEEE. pp. 1476–1485. arXiv:1905.03670. doi:10.1109/iccv.2019.00156. ISBN 978-1-7281-4803-8. S2CID 167209887.
Doersch, Carl; Gupta, Abhinav; Efros, Alexei A. (December 2015). "Unsupervised Visual Representation Learning by Context Prediction". 2015 IEEE International Conference on Computer Vision (ICCV). IEEE. pp. 1422–1430. arXiv:1505.05192. doi:10.1109/iccv.2015.167. ISBN 978-1-4673-8391-2. S2CID 9062671.
Zheng, Xin; Wang, Yong; Wang, Guoyou; Liu, Jianguo (April 2018). "Fast and robust segmentation of white blood cell images by self-supervised learning". Micron. 107: 55–71. doi:10.1016/j.micron.2018.01.010. ISSN 0968-4328. PMID 29425969. S2CID 3796689.
Gidaris, Spyros; Bursuc, Andrei; Komodakis, Nikos; Perez, Patrick Perez; Cord, Matthieu (October 2019). "Boosting Few-Shot Visual Learning with Self-Supervision". 2019 IEEE/CVF International Conference on Computer Vision (ICCV). IEEE. pp. 8058–8067. arXiv:1906.05186. doi:10.1109/iccv.2019.00815. ISBN 978-1-7281-4803-8. S2CID 186206588.
Littwin, Etai; Wolf, Lior (June 2016). "The Multiverse Loss for Robust Transfer Learning". 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE. pp. 3957–3966. arXiv:1511.09033. doi:10.1109/cvpr.2016.429. ISBN 978-1-4673-8851-1. S2CID 6517610.
Wilcox, Ethan; Qian, Peng; Futrell, Richard; Kohita, Ryosuke; Levy, Roger; Ballesteros, Miguel (2020). "Structural Supervision Improves Few-Shot Learning and Syntactic Generalization in Neural Language Models". Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP). Stroudsburg, PA, USA: Association for Computational Linguistics. pp. 4640–4652. arXiv:2010.05725. doi:10.18653/v1/2020.emnlp-main.375. S2CID 222291675.

facebook.com (Global: 77^th place; English: 111^th place)

ai.facebook.com

"Wav2vec: State-of-the-art speech recognition through self-supervision". ai.facebook.com. Retrieved 9 June 2021.
"Demystifying a key self-supervised learning technique: Non-contrastive learning". ai.facebook.com. Retrieved 5 October 2021.

googleblog.com (Global: 1,272^nd place; English: 837^th place)

ai.googleblog.com

"Open Sourcing BERT: State-of-the-Art Pre-training for Natural Language Processing". Google AI Blog. 2 November 2018. Retrieved 9 June 2021.

harvard.edu (Global: 18^th place; English: 17^th place)

ui.adsabs.harvard.edu

Kramer, Mark A. (1991). "Nonlinear principal component analysis using autoassociative neural networks" (PDF). AIChE Journal. 37 (2): 233–243. Bibcode:1991AIChE..37..233K. doi:10.1002/aic.690370209.
Becker, Suzanna; Hinton, Geoffrey E. (January 1992). "Self-organizing neural network that discovers surfaces in random-dot stereograms". Nature. 355 (6356): 161–163. Bibcode:1992Natur.355..161B. doi:10.1038/355161a0. ISSN 1476-4687. PMID 1729650.

ieee.org (Global: 652^nd place; English: 515^th place)

ieeexplore.ieee.org

Xu, K.; Li, Y.; Deng, R.; Chen, K.; Xu, J. (2019). Self-Evolving Android Malware Detection System. IEEE European Symposium on Security and Privacy (EuroS&P). pp. 47–62. doi:10.1109/EuroSP.2019.00014 – via IEEE Xplore.

medium.com (Global: 551^st place; English: 406^th place)

Bouchard, Louis (25 November 2020). "What is Self-Supervised Learning? | Will machines ever be able to learn like humans?". Medium. Retrieved 9 June 2021.

mlr.press (Global: low place; English: low place)

proceedings.mlr.press

Gutmann, Michael; Hyvärinen, Aapo (31 March 2010). "Noise-contrastive estimation: A new estimation principle for unnormalized statistical models". Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics. JMLR Workshop and Conference Proceedings: 297–304.

nature.com (Global: 234^th place; English: 397^th place)

Becker, Suzanna; Hinton, Geoffrey E. (January 1992). "Self-organizing neural network that discovers surfaces in random-dot stereograms". Nature. 355 (6356): 161–163. Bibcode:1992Natur.355..161B. doi:10.1038/355161a0. ISSN 1476-4687. PMID 1729650.

nih.gov (Global: 4^th place; English: 4^th place)

pubmed.ncbi.nlm.nih.gov

Zheng, Xin; Wang, Yong; Wang, Guoyou; Liu, Jianguo (April 2018). "Fast and robust segmentation of white blood cell images by self-supervised learning". Micron. 107: 55–71. doi:10.1016/j.micron.2018.01.010. ISSN 0968-4328. PMID 29425969. S2CID 3796689.
Becker, Suzanna; Hinton, Geoffrey E. (January 1992). "Self-organizing neural network that discovers surfaces in random-dot stereograms". Nature. 355 (6356): 161–163. Bibcode:1992Natur.355..161B. doi:10.1038/355161a0. ISSN 1476-4687. PMID 1729650.
Gündüz, Hüseyin Anil; Binder, Martin; To, Xiao-Yin; Mreches, René; Bischl, Bernd; McHardy, Alice C.; Münch, Philipp C.; Rezaei, Mina (11 September 2023). "A self-supervised deep learning method for data-efficient training in genomics". Communications Biology. 6 (1): 928. doi:10.1038/s42003-023-05310-2. ISSN 2399-3642. PMC 10495322. PMID 37696966.

ncbi.nlm.nih.gov

Gündüz, Hüseyin Anil; Binder, Martin; To, Xiao-Yin; Mreches, René; Bischl, Bernd; McHardy, Alice C.; Münch, Philipp C.; Rezaei, Mina (11 September 2023). "A self-supervised deep learning method for data-efficient training in genomics". Communications Biology. 6 (1): 928. doi:10.1038/s42003-023-05310-2. ISSN 2399-3642. PMC 10495322. PMID 37696966.

researchgate.net (Global: 120^th place; English: 125^th place)

Kramer, Mark A. (1991). "Nonlinear principal component analysis using autoassociative neural networks" (PDF). AIChE Journal. 37 (2): 233–243. Bibcode:1991AIChE..37..233K. doi:10.1002/aic.690370209.

semanticscholar.org (Global: 11^th place; English: 8^th place)

api.semanticscholar.org

Doersch, Carl; Zisserman, Andrew (October 2017). "Multi-task Self-Supervised Visual Learning". 2017 IEEE International Conference on Computer Vision (ICCV). IEEE. pp. 2070–2079. arXiv:1708.07860. doi:10.1109/iccv.2017.226. ISBN 978-1-5386-1032-9. S2CID 473729.
Beyer, Lucas; Zhai, Xiaohua; Oliver, Avital; Kolesnikov, Alexander (October 2019). "S4L: Self-Supervised Semi-Supervised Learning". 2019 IEEE/CVF International Conference on Computer Vision (ICCV). IEEE. pp. 1476–1485. arXiv:1905.03670. doi:10.1109/iccv.2019.00156. ISBN 978-1-7281-4803-8. S2CID 167209887.
Doersch, Carl; Gupta, Abhinav; Efros, Alexei A. (December 2015). "Unsupervised Visual Representation Learning by Context Prediction". 2015 IEEE International Conference on Computer Vision (ICCV). IEEE. pp. 1422–1430. arXiv:1505.05192. doi:10.1109/iccv.2015.167. ISBN 978-1-4673-8391-2. S2CID 9062671.
Zheng, Xin; Wang, Yong; Wang, Guoyou; Liu, Jianguo (April 2018). "Fast and robust segmentation of white blood cell images by self-supervised learning". Micron. 107: 55–71. doi:10.1016/j.micron.2018.01.010. ISSN 0968-4328. PMID 29425969. S2CID 3796689.
Gidaris, Spyros; Bursuc, Andrei; Komodakis, Nikos; Perez, Patrick Perez; Cord, Matthieu (October 2019). "Boosting Few-Shot Visual Learning with Self-Supervision". 2019 IEEE/CVF International Conference on Computer Vision (ICCV). IEEE. pp. 8058–8067. arXiv:1906.05186. doi:10.1109/iccv.2019.00815. ISBN 978-1-7281-4803-8. S2CID 186206588.
Littwin, Etai; Wolf, Lior (June 2016). "The Multiverse Loss for Robust Transfer Learning". 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE. pp. 3957–3966. arXiv:1511.09033. doi:10.1109/cvpr.2016.429. ISBN 978-1-4673-8851-1. S2CID 6517610.
Wilcox, Ethan; Qian, Peng; Futrell, Richard; Kohita, Ryosuke; Levy, Roger; Ballesteros, Miguel (2020). "Structural Supervision Improves Few-Shot Learning and Syntactic Generalization in Neural Language Models". Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP). Stroudsburg, PA, USA: Association for Computational Linguistics. pp. 4640–4652. arXiv:2010.05725. doi:10.18653/v1/2020.emnlp-main.375. S2CID 222291675.

worldcat.org (Global: 5^th place; English: 5^th place)

search.worldcat.org

Zheng, Xin; Wang, Yong; Wang, Guoyou; Liu, Jianguo (April 2018). "Fast and robust segmentation of white blood cell images by self-supervised learning". Micron. 107: 55–71. doi:10.1016/j.micron.2018.01.010. ISSN 0968-4328. PMID 29425969. S2CID 3796689.
Becker, Suzanna; Hinton, Geoffrey E. (January 1992). "Self-organizing neural network that discovers surfaces in random-dot stereograms". Nature. 355 (6356): 161–163. Bibcode:1992Natur.355..161B. doi:10.1038/355161a0. ISSN 1476-4687. PMID 1729650.
Gündüz, Hüseyin Anil; Binder, Martin; To, Xiao-Yin; Mreches, René; Bischl, Bernd; McHardy, Alice C.; Münch, Philipp C.; Rezaei, Mina (11 September 2023). "A self-supervised deep learning method for data-efficient training in genomics". Communications Biology. 6 (1): 928. doi:10.1038/s42003-023-05310-2. ISSN 2399-3642. PMC 10495322. PMID 37696966.

Self-supervised learning (English Wikipedia)

arxiv.org (Global: 69th place; English: 59th place)

doi.org (Global: 2nd place; English: 2nd place)