Subbarao Kambhampati proposed an "affirmative action" track for academic research.
Positive users see industry wins at CVPR as a catalyst pushing universities to invest more in compute, while negative users criticize the conference for favoring non-reproducible work and becoming insular toward academia.
@taiyasaki Agreed! That is exactly one of the reasons why we wrote the paper "Brains Over Brawn: Small AI Labs in the Age of Datacenter-Scale Compute" a few years ago... https://doi.org/10.1007/978-3-031-66705-3_2
@taiyasaki No idea how can a paper that is not reproducible win a best paper award, this is hillarious
@taiyasaki CVPR started to feel like the Crossfire map from Half-Life. Gates are closing and those who are inside don't honestly care what happens outside. Even if they are from the same team.
@taiyasaki Wasn’t the student award based on work using only one volta gpu?
@taiyasaki Agreed. It's not good for academic conference
@taiyasaki @aykuterdemml Something has to change.... But what ...
@taiyasaki If true, I see it as catalyst for universities to spend more on data centers/compute, so students have access to what they need. Stanford has $47B sitting around 😜
@Michiels_Nick @taiyasaki This would become more common in coming years. Scaling laws give an obvious advantage to giants and so they will dominate during early years because of their hands on infinite levels of compute. This would slow down once they start hitting bottlenecks
@taiyasaki AAAAIR (Affirmative Action for Academic #AI Research) track at conferences...😋
@taiyasaki IMHO, at the least, the best paper awards should be given to works with open implementations.
