Videos footage from RuCCS Colloquium Talks can be found on the RuCCS YouTube Channel. For all other events, please check the sponsor's website for more detail.

To filter by event category, click on the event category link in the table below or use the menu on the right.

List of Past Events

From Co-Occurrence to Correspondence

Dr. Benjamin Taskar

Monday, November 02, 2009, 12:00pm - 07:00pm

University of Pennsylvania, Computer and Information Sciences Department

Copy to My Calendar (iCal) Download as iCal file

 
While supervised learning methods for classification and structuredprediction are very effective in many domains, they require detailedand precise labeling of large amounts of data.  Weakly or ambiguouslylabeled data present major challenges as well as opportunities.  Forexample, to build a machine translation system, we typically havelarge amounts of translated sentences to learn from, but without wordor phrase level correspondence.  Copious images and videos on the webor your harddrive are typically labeled with captions of who and whatis in the picture, but not where and when.  The challenges are boththeoretical and algorithmic: under what assumptions can we guaranteeeffective and efficient learning of precise correspondence from pureco-occurrence?   I will describe our ongoing work on weakly supervisedlearning approaches for machine translation and parsing of images,videos and text.

Dr. Benjamin Taskar