I. Khemakhem, D. P. Kingma, R. P. Monti, and A. Hyvärinen. Variational autoencoders

and nonlinear ica: A unifying framework, 2020. 17

D. P. Kingma and M. Welling.

Auto-encoding variational bayes.

arXiv preprint

arXiv:1312.6114, 2013. 4

arXiv:2001.04451, 2020. 36

N. Kitaev, Ł. Kaiser, and A. Levskaya. Reformer: The eﬃcient transformer. arXiv preprint

S. A. Koohpayegani, A. Tejankar, and H. Pirsiavash. Mean shift for self-supervised learning.
In Proceedings of the IEEE/CVF International Conference on Computer Vision, pages
10326–10335, 2021. 6, 13, 22

R. Krishnan, P. Rajpurkar, and E. J. Topol. Self-supervised learning in medicine and

healthcare. Nature Biomedical Engineering, pages 1–7, 2022. 3

G. Larsson, M. Maire, and G. Shakhnarovich. Learning representations for automatic
colorization. In Computer Vision–ECCV 2016: 14th European Conference, Amsterdam,
The Netherlands, October 11–14, 2016, Proceedings, Part IV 14, pages 577–593. Springer,
2016. 5
A Cookbook of Self-Supervised Learning