[Re] A Simple Framework for Contrastive Learning of Visual Representations

[ADevillers]

Original article: T. Chen, S. Kornblith, M. Norouzi, and G. Hinton. “A simple framework for contrastive learning of visual repre-
sentations.” In: International conference on machine learning. PMLR, 2020, pp. 1597–1607

PDF URL: https://github.com/ADevillers/SimCLR/blob/main/report.pdf
Metadata URL: https://github.com/ADevillers/SimCLR/blob/main/report.metadata.tex
Code URL: https://github.com/ADevillers/SimCLR/tree/main

Scientific domain: Representation Learning
Programming language: Python
Suggested editor: @rougier

[rougier]

Thanks for your submission and sorry for the delay. We'll assign an editor soon.

[rougier]

@gdetor @benoit-girard @koustuvsinha Can any of you edit this submission?

[benoit-girard]

I can do it!

[benoit-girard]

Good news: @charlypg has accepted to review this paper and its companion!

[benoit-girard]

@pps121 would you like to review this paper? And possibly (or aletrnatively) its companion paper #77 ?
Let me know!

[charlypg]

Hello everybody.
I am going to review SimCLR then BYOL. I have a lot to do for my own research during 2 weeks but I think I can do your review before the 25. Is it ok for you ?
It will also depend on the required computational resources.

[benoit-girard]

@bsciolla would you like to review this paper? And possibly (or alternatively) its companion paper #77 ?
Let me know!

[benoit-girard]

@cJarvers would you like to review this paper? And possibly (or alternatively) its companion paper #77 ?
Let me know!

[benoit-girard]

@schmidDan would you like to review this paper? And possibly (or alternatively) its companion paper #77 ?
Let me know!

[benoit-girard]

@charlypg do you have an idea when you could be able to deliver your review?