(T) Last week in Montreal, was the twenty-ninth annual conference on Neural Information Processing Systems (NIPS). NIPS is probably one of the most well-attended machine learning and computational neuroscience conferences.

Following is the program highlights of the conference: https://goo.gl/aFip5J

Following are all the papers presented at the conference: https://goo.gl/iY23Yt

Following are a few great tutorials from incredible speakers:

• Deep Learning (Hinton/Bengio/LeCunn)
  
• Distributed Systems for Training Neural Networks (Dean/Vinyals)
  
• High-Performance Hardware for Machine Learning (Dally)
  
• Reinforcement Learning with Function Approximation (Sutton)
  
• Probabilistic Programming (Wood)
  

In parallel to the conference, three symposia were held:

• Algorithms Among Us: the Societal Impacts of Machine Learning
  
• Brains, Minds, and Machines
  
• Deep Learning
  

In addition, Google Research wrote a blog article about its contribution to NIPS: http://goo.gl/ifFepw

Note: The picture above is the City Hall from Montreal from Wikipedia.

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