自己教師あり学習 (Japanese Wikipedia)

Analysis of information sources in references of the Wikipedia article "自己教師あり学習" in Japanese language version.

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8doi.org

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8arxiv.org

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2facebook.com

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1medium.com

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1worldcat.org

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1nih.gov

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1researchgate.net

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1aaai.org

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1googleblog.com

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aaai.org

ojs.aaai.org

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。

arxiv.org

Doersch, Carl; Zisserman, Andrew (October 2017). “Multi-task Self-Supervised Visual Learning”. 2017 IEEE International Conference on Computer Vision (ICCV) (IEEE): 2070–2079. arXiv:1708.07860. doi:10.1109/iccv.2017.226. ISBN 978-1-5386-1032-9. https://doi.org/10.1109/iccv.2017.226.
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): 1476–1485. arXiv:1905.03670. doi:10.1109/iccv.2019.00156. ISBN 978-1-7281-4803-8.
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): 1422–1430. arXiv:1505.05192. doi:10.1109/iccv.2015.167. ISBN 978-1-4673-8391-2. https://doi.org/10.1109/iccv.2015.167.
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): 8058–8067. arXiv:1906.05186. doi:10.1109/iccv.2019.00815. ISBN 978-1-7281-4803-8.
Littwin, Etai; Wolf, Lior (June 2016). “The Multiverse Loss for Robust Transfer Learning”. 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (IEEE): 3957–3966. arXiv:1511.09033. doi:10.1109/cvpr.2016.429. ISBN 978-1-4673-8851-1. https://doi.org/10.1109/cvpr.2016.429.
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): 4640–4652. arXiv:2010.05725. doi:10.18653/v1/2020.emnlp-main.375.
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

Doersch, Carl; Zisserman, Andrew (October 2017). “Multi-task Self-Supervised Visual Learning”. 2017 IEEE International Conference on Computer Vision (ICCV) (IEEE): 2070–2079. arXiv:1708.07860. doi:10.1109/iccv.2017.226. ISBN 978-1-5386-1032-9. https://doi.org/10.1109/iccv.2017.226.
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): 1476–1485. arXiv:1905.03670. doi:10.1109/iccv.2019.00156. ISBN 978-1-7281-4803-8.
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): 1422–1430. arXiv:1505.05192. doi:10.1109/iccv.2015.167. ISBN 978-1-4673-8391-2. https://doi.org/10.1109/iccv.2015.167.
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.
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): 8058–8067. arXiv:1906.05186. doi:10.1109/iccv.2019.00815. ISBN 978-1-7281-4803-8.
Littwin, Etai; Wolf, Lior (June 2016). “The Multiverse Loss for Robust Transfer Learning”. 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (IEEE): 3957–3966. arXiv:1511.09033. doi:10.1109/cvpr.2016.429. ISBN 978-1-4673-8851-1. https://doi.org/10.1109/cvpr.2016.429.
Kramer, Mark A. (1991). “Nonlinear principal component analysis using autoassociative neural networks”. AIChE Journal 37 (2): 233–243. doi:10.1002/aic.690370209.
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): 4640–4652. arXiv:2010.05725. doi:10.18653/v1/2020.emnlp-main.375.

facebook.com

ai.facebook.com

“Wav2vec: State-of-the-art speech recognition through self-supervision” (英語). ai.facebook.com. 2021年6月9日閲覧。
“Demystifying a key self-supervised learning technique: Non-contrastive learning” (英語). ai.facebook.com. 2021年10月5日閲覧。

googleblog.com

ai.googleblog.com

“Open Sourcing BERT: State-of-the-Art Pre-training for Natural Language Processing” (英語). Google AI Blog. 2021年6月9日閲覧。

medium.com

Bouchard, Louis (2020年11月25日). “What is Self-Supervised Learning? | Will machines ever be able to learn like humans?” (英語). Medium. 2021年6月9日閲覧。

nih.gov

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.

researchgate.net

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

worldcat.org

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.