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Meeting 4: Deep Learning of cat faces and Probabilistic Graphical Models

Join us for meeting #4 where we will be talking about large-scale deep learning and an intro to inference using graphical models. 

1) "Building High-level Features Using Large Scale Unsupervised Learning" by Quoc V. Le and Andrew Y. Ng (Stanford) and Ranzato et al. (Google) from Proceedings of the 29th International Conference on Machine Learning, 2012

http://arxiv.org/pdf/1112.6209v5.pdf

2) "Graphical models" by Michael I. Jordan (UC-Berkeley) from Statistical Science, 2004

http://www.cs.berkeley.edu/~jordan/papers/statsci.ps or

http://www.cs.princeton.edu/courses/archive/fall10/cos513/papers/Jordan2004.pdf

Please read the papers before the meetup but if you don't get a chance, feel free to come join the discussion anyway.

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  • Brian S.

    A perfect blend of academic theories and in-the-field stories.

    September 11, 2013

  • Francesco R.

    sorry I didn't attend , but I had a last minute business problem

    September 11, 2013

  • Emre

    Great choice of papers. I think the presentation could have been improved through the use of a projector to get everyone on the same page (literally).

    September 10, 2013

  • Anqi F.

    Sorry I can't join you today, the papers look v. interesting, but I didn't have time to read them this week.

    September 10, 2013

  • Saghar T.

    berkeley and princeton papers both point to the same paper.

    August 29, 2013

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