Come to our talks and posters at #ICLR2021 to discuss our findings on understanding and improving deep learning! Talks and posters are available now! Links to the talks, posters, papers and codes in the thread:
Some people say that one shouldn't care about publication and the quality matters. However, the job market punishes those who don’t have publications in top ML venues. I empathize with students and newcomers to ML whose good papers are not getting accepted. #ICLR2021
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Long thread at the risk of being judged:
I just realized that in the last 6 years, 21 of my 24 papers have been accepted to top ML conf in their FIRST submission even though the majority of them were hastily-written borderline papers (not proud of this). How is this possible?
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At this point, I'm convinced that this cannot be explained by a combination of luck and quality of the papers. My belief is that the current system has lots of unnecessary and sometimes harmful biases which is #unfair to new comers and anyone who is outside of the "norm".
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