What was the last paper within the realm of computing you read and loved? What did it inspire you to build or tinker with? Come share the ideas in an awesome academic/research paper with fellow engineers, programmers, and paper-readers. Lead a session and show off code that you wrote that implements these ideas or just give us the lowdown about the paper (because of HARD MATH!). Otherwise, just come, listen, and discuss.
In February, I'll be presenting "GAN Dissection", a pre-print paper out of Torralba's group at CSAIL:
This is a really interesting paper with neat results, and it takes a rigorous and principled approach to interpretability in ML (at least, in the vision domain). It's also one of my favorite papers from 2018.
I'll cover some of the motivations, previous/related work, and some of the key ideas in the paper. This particular conversation will be mostly focused on providing an intuitive understanding instead of a rigorous mathematical understanding (at least during the talk itself). No prior machine learning experience will be necessary to follow along.
Thanks to our sponsors, FullStory and Hop Labs!