NIPS (the Conference and Workshop on Neural Information Processing Systems) is a machine learning and computational neuroscience conference held every December. It was first proposed in 1986, and for a long time, it was a small conference. Interest to NIPS significantly increased when deep learning started demonstrating great results in image recognition, speech recognition, and multiple other areas. Last year NIPS had 2500+ papers submitted and 5000+ people in attendance.
Andreas Stuhlmüller published an interesting article with his learnings from NIPS 2016: “50 things I learned at NIPS 2016”.
Overview of NIPS by Karl Ni: day 0&1, day 2, day 3.
Highlights by Ross Fadely: day 1, day 2, day 3, day 4 – 6.
Summary of NIPS 2016 by Eric Jang.
NIPS 2016: cake, Rocket AI, GANs and the style transfer debate by Luba Elliott.
Highlights of NIPS 2016: Adversarial Learning, Meta-learning and more by Aylien.
Deep Learning 2016: the Year in Review by Jan Bussieck.