Sometimes I get the feeling that a large component of reviewing is gently reminding folks that there are papers from before 2010.

Someone sent me an ArXiv link to a paper they thought I’d be interested in. Turns out I was reviewing the paper for Neurips.

I had to contact the Meta-reviewer and get taken off the paper.

This is a downside to ArXiv that I hadn’t even thought of: some of the the folks who are would be best able to interpret your work will likely have seen it if it’s on ArXiv. By posting before review, you may be reducing the pool of reviewers that are best able to asses the paper.

The struggle of @black_in_ai organizers trying to bring a diverse audience to #neurips reminds me of a point @erica_joy made in an interview:

“We aren’t thinking about the lost time spent having to fight those issues.”

These researchers are providing a service to the community which comes at a cost. We need to be better at acknowledging this and providing support.

Clearly @element_ai is all ready for #neurips. They've got a cute little walkway with some neat #mtl facts and deep learning memes.

I'm sitting here hoping that confusion over pronunication of #NeurIPS turns into a wholesome meme where people pronounce it differently everytime they say it.

new-rups

nyr-ups

nurr-ips