To be clear, the papers at conferences undergo a peer review process as well. There are journal publications in CS, but a lot of publishing is done through conferences. Arxiv, while a great resource, has little to do with the conferences and it is worth noting that the papers on arxiv do not go through a peer review process (but are often published at conferences where the paper has gone under peer review — some papers on arxiv may be preprint versions from before the peer review process).
Comment on The Future of Machine Learning: A New Breakthrough Technique (MLC)
DigitalMus@feddit.dk 1 year ago
While in not in the field either, I do know that it is quite unusual in computer science academics to publish in actual peer reviewed journals. This is because it can be a long process, and the field is very fast moving, so your results would be outdated by the time you publish. Thus, a paper is typically synonymous with a conference proceeding, and can be found on arxiv. I found this Paper on the arxiv from 2017/2018 which seems to be when this paper was originally published for the scientific community and presented at a very “good” (if I had to guess) conference. Google scholar says this paper has 650 citations, so it probably has had quite some impact. However, I would guess this method is well known and is already implemented in many models, if it was truly disruptive.
Chobbes@lemmy.world 1 year ago
A_A@lemmy.world 1 year ago
Good to know, Thanks.
Yours is the type of comment I was really hoping to read here.DigitalMus@feddit.dk 1 year ago
This certainly could be part of the motivation for publishing it this way, to make themselves more noticed by the big players. Btw, publishing in open source nature is expensive, it’s like 6-8000 euro for the big ones, so there definitely is a reason.
KingRandomGuy@lemmy.world 1 year ago
For reference, ICML is one of the most prestigious machine learning conferences alongside ICLR and NeurIPS.