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Recording date 2020-10-12

Course

Deep Learning

Language

English

Organisational Unit

Friedrich-Alexander-Universität Erlangen-Nürnberg

Producer

Friedrich-Alexander-Universität Erlangen-Nürnberg

Deep Learning - Weakly and Self-Supervised Learning Part 4

In this video, we look into contrastive losses and how they can be used in combination with self-supervised learning.

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Video References:
Time-Contrastive Networks: Self-Supervised Learning from Video
Demo video for CVPR 2019 paper "Self-Supervised Learning via Conditional Motion Propagation"

Further Reading:
A gentle Introduction to Deep Learning

References
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[18] Mehdi Noroozi and Paolo Favaro. “Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles”. In: Computer Vision – ECCV 2016. Cham: Springer International Publishing, 2016, pp. 69–84.
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[25] Ben Poole, Sherjil Ozair, Aaron Van Den Oord, et al. “On Variational Bounds of Mutual Information”. In: Proceedings of the 36th International Conference on Machine Learning. Vol. 97. Proceedings of Machine Learning Research. Long Beach, California, USA: PMLR, Sept. 2019, pp. 5171–5180.
[26] R Devon Hjelm, Alex Fedorov, Samuel Lavoie-Marchildon, et al. “Learning deep representations by mutual information estimation and maximization”. In: International Conference on Learning Representations. 2019.
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[28] Philip Bachman, R Devon Hjelm, and William Buchwalter. “Learning Representations by Maximizing Mutual Information Across Views”. In: Advances in Neural Information Processing Systems 32. Curran Associates, Inc., 2019, pp. 15535–15545.
[29] Yonglong Tian, Dilip Krishnan, and Phillip Isola. “Contrastive Multiview Coding”. In: arXiv e-prints, arXiv:1906.05849 (June 2019), arXiv:1906.05849. arXiv: 1906.05849 [cs.CV].
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[32] Ishan Misra and Laurens van der Maaten. “Self-Supervised Learning of Pretext-Invariant Representations”. In: arXiv e-prints, arXiv:1912.01991 (Dec. 2019). arXiv: 1912.01991 [cs.CV].
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[34] Jean-Bastien Grill, Florian Strub, Florent Altché, et al. “Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning”. In: arXiv e-prints, arXiv:2006.07733 (June 2020), arXiv:2006.07733. arXiv: 2006.07733 [cs.LG].
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[36] Junnan Li, Pan Zhou, Caiming Xiong, et al. “Prototypical Contrastive Learning of Unsupervised Representations”. In: arXiv e-prints, arXiv:2005.04966 (May 2020), arXiv:2005.04966. arXiv: 2005.04966 [cs.CV].

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Maier, Andreas
Prof. Dr. Andreas Maier
2020-10-12
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Maier, Andreas
Prof. Dr. Andreas Maier
2020-10-12
IdM-login
Maier, Andreas
Prof. Dr. Andreas Maier
2020-10-12
IdM-login
Maier, Andreas
Prof. Dr. Andreas Maier
2020-10-12
IdM-login
Maier, Andreas
Prof. Dr. Andreas Maier
2020-10-12
IdM-login

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