[D] What are your personal favourite CNN / deep learning for vision papers? • r/MachineLearning

I like the DenseNets paper a lot. Regardless of what you think of the architecture (I've seen a great deal of seemingly irrational hatred for DenseNets around here, and while I don't think it's the end-all be-all architecture, I'll gladly argue its case) the paper is straightforward, easy to read, and an excellent modern reference for a lot of the quirks of CNN design. It's not explicitly a CNN paper but SVCCA is one of my favorite deep net papers this year and probably in my top 3 from NIPS17. It presents an interesting way to analyze representations in intermediate layers, and while I don't think it's the ultimately best way to do so (or, rather, the last stop on this research train) the intuition behind the technique's design are top-notch. I think this paper deserves a lot more attention than it's received thus far. Convolutional Neural Fabrics has a really interesting approach to network design.