> If you like the idea of being exposed to more research and cutting-edge ideas over 2017...
Why not just read abstracts? It doesn't seem like his goal is more than "Let's see what people are up to."
In the context of AI / ML / DL, white papers were useful for me when I had a very specific task in mind and wanted to see the cutting edge approaches. Outside of that, I wasted untold hours I wish I had back reading white papers because they seemed important. I don't think I really got anything useful at the end of the day, in terms of advancing my projects. I also believe some deep learning papers completely exaggerate their results while being intentionally vague on how they implemented, and I wish had those hours back too trying to replicate.
I don't know, I disagree with the notion that it's inherently good to read a bunch of white papers. Better I think is work on your project, and when there are gaps go searching for papers.
Why not just read abstracts? It doesn't seem like his goal is more than "Let's see what people are up to."
In the context of AI / ML / DL, white papers were useful for me when I had a very specific task in mind and wanted to see the cutting edge approaches. Outside of that, I wasted untold hours I wish I had back reading white papers because they seemed important. I don't think I really got anything useful at the end of the day, in terms of advancing my projects. I also believe some deep learning papers completely exaggerate their results while being intentionally vague on how they implemented, and I wish had those hours back too trying to replicate.
I don't know, I disagree with the notion that it's inherently good to read a bunch of white papers. Better I think is work on your project, and when there are gaps go searching for papers.