This special pre-Christmas meetup was devoted to a quick review of the NIPS 2016 conference, which some of the regular attendees of our meetups were lucky to experience.
News
We skipped this section in favor of doing a more in depth review of the NIPS conference. The presentation (and the meetup as a whole) was full of news anyway.
Presentation
The presentation used on this meetup, along with a list of references used in its preparation can be found here.
References
- NIPS Review Process: (http://www.tml.cs.uni-tuebingen.de/team/luxburg/misc/nips2016/index.php)
- Towards biologically plausible Deep Learning - Yoshua Bengio:
(http://www.iro.umontreal.ca/~bengioy/talks/Brains+Bits-NIPS2016Workshop.pptx.pdf)
- Video from a similar talk (https://archive.org/details/Redwood_Center_2016_09_27_Yoshua_Bengio)
- Magenta Demo (https://magenta.tensorflow.org/2016/12/16/nips-demo/)
- Andrew Ng Tutorial Slides (https://www.dropbox.com/s/dyjdq1prjbs8pmc/NIPS2016%20-%20Pages%202-6%20(1).pdf?dl=0)
- A list of code repositories for work presented at NIPS (https://www.reddit.com/r/MachineLearning/comments/5hwqeb/project_all_code_implementations_for_nips_2016/)
Other NIPS reviews
- http://www.slideshare.net/SebastianRuder/nips-2016-highlights-sebastian-ruder
- http://inverseprobability.com/2016/12/13/nips-highlights.html
- https://beamandrew.github.io/deeplearning/2016/12/12/nips-2016.html
- https://www.linkedin.com/pulse/nips-2016-towards-end-dynamic-dialogue-system-vishal-bhalla
- https://medium.com/@libfun/nips-2016-experience-and-highlights-104e19e4ac95#.ngf9jdu3e
- https://www.linkedin.com/pulse/some-general-take-aways-from-nips2016-igor-carron
- http://www.inference.vc/my-summary-of-adversarial-training-nips-workshop/
- https://tryolabs.com/blog/2016/12/06/major-advancements-deep-learning-2016/
- http://apeiroto.pe/ml/nips-2016.html
- http://www.machinedlearnings.com/2016/12/nips-2016-reflections.html
- http://blog.aylien.com/highlights-nips-2016/