The Conference and Workshop on Neural Information Processing Systems (NIPS) is a machine learning and computational neuroscience conference held every December. The conference is a single track meeting that includes invited talks as well as oral and poster presentations of refereed papers, followed by parallel-track workshops that up to 2013 were held at ski resorts. According to Microsoft Academic Search, NIPS is the top conference on machine learning.
NIPS 2016 was held from 5th-10th December, 2016, in Barcelona, Spain. This year, the conference had close to 730 accepted papers and posters along with 50+ workshops and tutorials. The keynote was provided by speakers from FB research, Salk institute, Deep Mind and Boston Dynamics and a couple more. Click here for more details.
We present here some notes from the conference prepared by various researchers -
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Click here to view Neil Lawrence’s, Professor of machine learning at University of Sheffield, post-NIPS reflections.
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This blog post is by Jeremy Karnowski’s & Ross Fadely.
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Google managed to get in a number of publications this year. Click here to read their blog describing some of their work.
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[[Reference credit: Dr. Biplav Srivastava]] This blog presents a conference report by Andreas Stuhlmülle:
50 things I learned at NIPS 2016
Here are some interesting spotlight videos and workshops at NIPS this year -
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On leveraging interpretability of graphical models with the predictability of neural networks
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On using machine learning techniques to conduct neuroscientific analyses
We are in the process of compiling Indian researchers’ work presented at NIPS 2016. If you presented any or are aware of such presentations, please feel free to share.