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Culture War Roundup for the week of May 25, 2026

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Except that AlexNet was published at NeurIPS

Damn Google's AI overview led me astray. Good old NIPs was the publication. (Yes I know they changed their name to not be a slur). The other two I knew because I read them in undergrad. I could not remember AlexNet's OG home.

you are actively trying to help people come into the clique who want to

We might have different definitions of "actively". Yes they are open, but strictly classifying ML as a very specific thing is not. It still looks to me like gatekeeping a very specific boundary that is not reflective of the wider reality

If you seriously feel that the ML community is gatekeeping, then I invite you to come join the community and propose ways to remove these gates. There are regular workshops hosted to address these issues and improve them. In just 4 days, there will be a workshop on "The Future of Machine Learning Publishing" https://inverseprobability.com/sorrento2026/future-ml-publishing.html.

There are also more-or-less annually workshops at NeurIPS/ICML on improving the publishing process in ML. Here is an (incomplete) ChatGPT generated list:

(2010) : https://mloss-static.ml.tu-berlin.de/workshop/icml10/

(2018) : https://ml-critique-correct.github.io/

(2019) : https://ml-retrospectives.github.io/

(2020) : https://ml-retrospectives.github.io/neurips2020/

(2021) : https://neurips.cc/virtual/2021/workshop/21885

(2022) : https://ml-eval.github.io/

(2023) : https://sites.google.com/view/reconsidering-peer-review

I don't know of any academic communities that are remotely as open and accessible as the NeurIPS/ICML community. The NLP and CV communities have made some progress in these directions (due to the overlap of their members and the ML community), but even other branches of CS are way behind.

Thank you for the invitation, let me see which ones I could attend. Do you know if the Neurips/ICML host a professional society like IEEE or AAAI?

They don't; it's all informal. AAAI is the closest thing and has a lot of overlap. Basically no one is a member if IEEE or ACM.

Can I just insert this is one of the most respectful back-and-forths between ppl disagreeing that I've read in a while here between you and @PokerPirate. And about a field I know nothing about (Statistics I know, but not Machine Learning). A lesson to us all.

I'd like to think its because this is a very niche argument about where the boundary on one field is vs another. It's not really culture war material, its not an existential moral argument. Its pretty much two nerds disagreeing about what constitutes ML research, and and on a meta level, the telos of the modal ML research paper.

This forum has devolved a bit on the civil discourse front when it comes to culture wars, sign of the times I guess.