[Re] Learning with Noisy Labels Revisited: A Study Using Real-World Human Annotations

[ValterH]

Original article: Learning with Noisy Labels Revisited: A Study Using Real-World Human Annotations

PDF URL: https://github.com/KlemenVovk/noisy-labels/blob/master/rescience/rescience.pdf
Metadata URL: https://github.com/KlemenVovk/noisy-labels/blob/master/rescience/metadata.yaml
Code URL: https://github.com/KlemenVovk/noisy-labels
Openreview: https://openreview.net/forum?id=GKZ2leags0

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

[rougier]

@ValterH Very sorry for such long delay, for some reasons, I did not see your submission.
Is your paper part of the ML Reproducibility Challenge ? If yes, do you have open peer review already?

[ValterH]

@rougier No problem. We were under the impression that there was no reproducibility challenge for 2024, so we decided to submit to ReScience C directly.

[rougier]

Ok, and sorry for long delay in my answer, end of year was pretty chaotic. I'll handle your submission.

[rougier]

@mo-arvan @MollyZhang Coudl you review this submission?

[rougier]

@ValterH Don't hesitate to notify me here if things are not moving. Else, you can also mail me directly.

[ValterH]

@rougier I understand, no worries. Thank you for moving things along!

[rougier]

@gdetor @mo-arvan @MollyZhang @pena-rodrigo Could you review this submission?

[ValterH]

We decided to submit to MLRC 2025.

[ValterH]

@rougier I am reopening our submission. I added links to the updated article and paper reviews from MLRC.