Must Read AI Papers As Suggested by Experts

Due to the overwhelming response to our previous expert paper suggestion blog, we had to do another. We asked some of our expert community the papers they would suggest everybody read when working in the field. Haven't seen the first blog? You can read the recommendations of Andrew Ng, Jeff Clune, Myriam Cote and more here. Alexia suggested this paper as it explains how many classifiers can be thought of as estimating an f-divergence.