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The original was posted on /r/machinelearning by /u/SilenceForLife on 2024-10-19 17:27:33+00:00.

Hello,

I’m a PhD student in a European university, working on AI/ML/CV …etc. my PhD is 4 years. The first year I literally just spent learning how to actually do research, teaching one course to learn how things work…etc. Second year, I published my first publication as a co-author in CVPR. By third year, I can manage research projects, I understand how to do grants applications, how funding works, the politics of it all …etc. I added to my CV, 2 publications, one journal and another conference as first author. I’m very involved in industry and I also write a lot of production grade code in regard to AI, systems architecture, backend, cloud, deployment, etc for companies that have contracts with my lab.

The issue is when I see PhD students similar to me in the US, they be having 10 publications, 5 of them 1st author, all of them are either CVPR, ICML, ICLR, NeurIPS …etc. I don’t understand, do these people not sleep ? How are they able to achieve this crazy amount of work and still have 3 publications every year in A* journals ?

I don’t think these people are smarter than I, usually I get ideas and I look up if something exists, and I can see that something was just published by some PhD student in Stanford or DeepMind …etc like 1 month ago, So I can see that my reasoning isn’t late in regard to SOTA. but the concepts that you would need to grasp to just have one of those publications + the effort and the time you need to invest and the resources to get everything done, wouldn’t be possible for 2~3 months project. How is it possible for these people to do this ?

Thank you !