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

Open ValterH opened this issue 1 year ago • 13 comments

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

ValterH avatar Aug 05 '24 12:08 ValterH

@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?

rougier avatar Oct 11 '24 13:10 rougier

@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.

ValterH avatar Oct 11 '24 13:10 ValterH

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

rougier avatar Jan 06 '25 15:01 rougier

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

rougier avatar Jan 06 '25 15:01 rougier

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

rougier avatar Jan 06 '25 15:01 rougier

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

ValterH avatar Jan 08 '25 19:01 ValterH

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

rougier avatar Jan 21 '25 10:01 rougier

We decided to submit to MLRC 2025.

ValterH avatar Feb 05 '25 09:02 ValterH

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

ValterH avatar Oct 15 '25 18:10 ValterH

Ok, are there any public reviews by any chance? [Just realized you added the link to open reviews...]

rougier avatar Oct 20 '25 04:10 rougier

Ok, are there any public reviews by any chance?

Yes, the reviews are available at https://openreview.net/forum?id=GKZ2leags0

ValterH avatar Oct 20 '25 06:10 ValterH

Thanks. Based on these public reviews, I think we can accept directly your paper for publication.

My only two comments concerns the title: [Re] means full replication, [~Re] means partial replication and [¬Re] means not reproducible. Based on your discussion / conclusion, do you prefere to keep [Re] or to use [~Re] ? the other very minor comment is in the text with a lot line returns. Is that intended ?

rougier avatar Oct 20 '25 07:10 rougier

Thank you for the quick response!

My only two comments concerns the title: [Re] means full replication, [~Re] means partial replication and [¬Re] means not reproducible. Based on your discussion / conclusion, do you prefere to keep [Re] or to use [~Re] ?

I agree that a partial reproduction is more approporiate, hence we will change the name to use [~Re].

the other very minor comment is in the text with a lot line returns. Is that intended ?

I added breaks between paragraphs to replace the line returns.

Both changes are reflected in the updated version of the article: https://github.com/KlemenVovk/noisy-labels/blob/rescience/rescience/rescience.pdf

ValterH avatar Oct 20 '25 15:10 ValterH