Submitted by MyActualUserName99 t3_11c0wvh in MachineLearning
I submitted a paper, with my PhD advisor, to ICML this year (2023) and hope to be accepted come April. I've never submitted a paper, nor attended, a conference. I have no idea what to expect
From those who have attended, or published, at these types of conferences, what is the best advise you can give for someone who is new to academia? Workshops? Tutorials? etc?
YodaML t1_ja1emk9 wrote
I find the plenary/invited speaker sessions to always be good value as you get to hear from the top researchers. Second best, in my opinion, are tutorials although it depends on how well organised they are. Workshops are great if you are presenting a paper because these days they are like small conferences and the audience is better targeted so your work is exposed to just the right people. The main conference is good for finding out what the community thinks are the best works for the moment. But usually the papers cover a wide breadth of topics so most might be of little interest and attending the presentations a waste of time; just look at the schedule and go to those presentations you care about.
I guess, you should also try to socialise and meet new people. I'm not good at socialising so for me this has always been the most uninteresting/difficult part of conference attendance.