UMass LIVING

September 3, 2009

Fall 2009 Organization

Filed under: Uncategorized — umassliving @ 6:09 pm
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Please fill out this poll as soon as you roughly know your schedule: http://www.doodle.com/6s9wngy4g239wtvy (ignore the calendar dates).

Remember, only mark red=do not have time if it is absolutely a conflict you can’t change, like a class.  Otherwise mark less desirable choices with yellow=could make time if absolutely necessary.

The time for the meetings for the rest of fall semester will be Friday, 12-2pm.

To summarize the end of our last meeting, we’ve decided to search through relevant conferences (NIPS, ICML, CVPR, ICCV, ECCV, BMVC) for best papers, orals, or tutorials which we would like to cover over the fall.  For individual papers, we would first spend a few meetings covering the fundamental theory necessary to understand the papers as preparation.

One possible fall back if this doesn’t work out is to cover convex optimization.

Post ideas and links in the comments.

One thing to keep in mind is that, if we feel like the min(two hours reading), two hour meeting format doesn’t leave enough time to prepare each week, we can move to a min(three hours reading), one hour meeting format, where, as Moe emphasized in the last meeting, two/three hours reading doesn’t need to mean read exclusively on your own.  Discussions with others in advance of the meeting is encouraged.

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7 Comments »

  1. NIPS best student papers here – http://nips.cc/ConferenceInformation/PaperAwards

    Some possibilities within this list:

    Jonathan Huang, Carlos Guestrin, and Leonidas Guibas
    Efficient Inference for Distributions on Permutations

    Alexander T. Ihler, John W. Fisher, and Alan S. Willsky
    Message Errors in Belief Propagation

    Carlos Guestrin, Ben Taskar and Daphne Koller
    Max-Margin Markov Networks

    Comment by Gary — September 3, 2009 @ 6:16 pm | Reply

  2. ICML 2008 Tutorials – http://icml2008.cs.helsinki.fi/tutorials.shtml

    Some possibilities:

    T6 Beyond Convexity: Submodularity in Machine Learning
    Andreas Krause, Carlos Guestrin

    T1 Painless embeddings of distributions: the function space view
    Alex Smola, Arthur Gretton, and Kenji Fukumizu

    Comment by Gary — September 3, 2009 @ 6:20 pm | Reply

  3. How about the following ECCV08 tutorial on MAP estimation?

    http://www.robots.ox.ac.uk/~pawan/eccv08_tutorial/index.html

    Comment by Vidit — September 4, 2009 @ 2:55 pm | Reply

  4. Predicting Structured Data – http://mitpress.mit.edu/catalog/item/default.asp?ttype=2&tid=11332&mode=toc

    Comment by Moe — September 6, 2009 @ 3:39 pm | Reply

  5. Following up Moe’s suggestion, there’s also a tutorial at NIPS 2007 – http://nips.cc/Conferences/2007/Program/schedule.php?Session=Tutorials (bottom of page)

    Comment by Gary — September 7, 2009 @ 3:09 pm | Reply

  6. Also related to the two above, best student paper at ECCV 2008 – Matthew B. Blaschko and Christoph H. Lampert. Learning to Localize Objects with Structured Output Regression. – http://www.kyb.mpg.de/publications/attachments/ECCV2008-Blaschko_5247%5B0%5D.pdf

    In addition, this paper makes use of the following paper (CVPR 2008 best paper) as an inner step – Beyond Sliding Windows: Object Localization by Efficient Subwindow Search, Christoph H. Lampert, Matthew B.Blaschko,Thomas Hofmann – http://www.kyb.mpg.de/publications/pdfs/pdf5070.pdf

    Comment by Gary — September 7, 2009 @ 6:35 pm | Reply

  7. More vision-oriented best papers from ECCV:

    2008 Geremy Heitz and Daphne Koller. Learning Spatial Context: Using Stuff to Find Things. – http://ai.stanford.edu/~gaheitz/MyPapers/HeitzKoller-ECCV-2008.pdf

    2006 Anat Levin and Yair Weiss. Learning to Combine Bottom-Up and Top-Down Segmentation – http://www.cs.huji.ac.il/%7Ealevin/papers/CRFs-eccv06.pdf

    Comment by Gary — September 8, 2009 @ 2:51 pm | Reply


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