4 ms·
> Overall, it seems we are starting to recycle ideas because there isnt enough lit review and or mentoring from senior deep learning / ML folks who can quickly
by liamdgray 2y ago
> Overall, it seems we are starting to recycle ideas because there isnt enough lit review and or mentoring from senior deep learning / ML folks who can quickly look at a paper and tell the author where the work has been already investigated.
Arguably, the literature synthesis and knowledge discovery problem has been overwhelming in many fields for a long time; but I wonder if, in ML lately, an accelerated (if not frantic) level of competition may be working against the collegial spirit.
- ipunchghosts 2y agoI think it's been accelerated by the review community being overwelmed and the lack of experienced researchers with the combination of classic ML, deep learning, transformers, and DSP backgrounds -- a rare breed but sorely needed.