NIPS 2017

NIPS (Conference on Neural Information Processing Systems) is a top conference in machine learning.  I visited NIPS 2016 in Barcelona and it was a really awesome experience. This year it was in the USA (4/12 - 9/12).
The demand for the machine learning conference growths dramatically. Here is a funny picture of
Alex Lebrun‏@lxbrun with a title "NIPS conference registrations, 2002 through 2017":

This year conference had 6000 attendees. Visitors need to stay in the registration queue for approx. 2 hours. But, maybe,  thanks to that we have the ability to see the video from NIPS on the official NIPS FB page: https://www.facebook.com/nipsfoundation/.

I was really impressed by Peter Abeel keynote:

You can find more video here:  https://www.facebook.com/nipsfoundation/  and NIPS papers here: https://papers.nips.cc/
Also, here is a github repo with a lot of materials:  https://github.com/hindupuravinash/nips2017/

Model results explanation

Explaining the prediction of your model is a really crucial thing. Previously, it was a trade-off between accuracy and interpretability

But, now you can use LIME, explanation technique proposed by Ribeiro and al. at 2016. This technique learns interpretable model around the prediction. More details are in the original paper: https://arxiv.org/abs/1602.04938.