In this post, I present an annotated bibliography of some of the interesting machine learning papers I read in 2020. Please don't be offended if your paper isn't on the list. Leave a comment with other papers you think should be included. I've tried to organize these papers by topic. Please be aware that the topics, selected papers, and the comments below reflect my own biases. I've endeavored to focus primarily on papers that include source code.