4 ms·
I think ML, at least when I was involved in it, had a much more sane way of approaching publication than other fields (I came from a biology background). Open
by jerojero 4y ago
I think ML, at least when I was involved in it, had a much more sane way of approaching publication than other fields (I came from a biology background).
Open science addresses a lot of the pain points that are mentioned in the article. I think we can all agree that having certain magazines that include what can be considered the best works is a good thing; people for better or worse need these instruments to seamlessly judge the base quality of an article. Regardless of my personal criticisms and potential declining quality of a particular magazine it is obviously very helpful to be able to know "hey, at least I can expect some degree of quality given that it was published in this or another magazine" specially as a student.
But this does not mean we ought to gate-keep research. Not only that, but having your publication out can open up a lot of feedback that can be incorporated and addressed. And this is where I go back to my original statement, in ML, it was very common to publish your work to arxiv for people to read through it and I think that greatly improved the speed upon which the field developed. Access is very important.
So I'm all for abolishing "pre-publication peer review".
- hackernewds 4y agoThis vastly underestimates the esoteric nature, experiential knowledge and complexity required to review most research published in the scientific community. The common public cannot be expected to provide non-populist capable review of pharmaceutical level research
- jerojero 4y agoBut they can do so for deep learning and mathematics? Because in those fields, as I said, pre-publication peer review is not as common. Of course we need peer-review and neither me nor the paper in the OP say otherwise. We just can't be gate-keeping research because of the review process; the review process needs to be re-thought and that includes the when and why.