[Colloquium] TTIC Talk: Samy Bengio, Google

[Liv Leader]

When:    Tuesday, November 22 @ 11 a.m.

Where:   TTIC Conference Room #526, 6045 S. Kenwood Avenue, 5th Floor

Who:      Samy Bengio, Google

Title:     Learning A Semantic Space: From Image Annotation to Music
Similarity

Abstract:
Image annotation datasets are becoming larger and larger, with tens of
millions of images and tens of thousands of possible annotations.
In the first part of the talk, I'll introduce WSABIE, a strongly performing
method that scales to such datasets by simultaneously learning to optimize
precision at k of the ranked list of annotations for a given image and
learning a low-dimensional joint embedding space for both images and
annotations.  Our method both outperforms several baseline methods and, in
comparison to them, is faster and consumes less memory.  We also
demonstrate how our method learns an interpretable model, where annotations
with alternate spellings or even languages are close in the embedding
space. Hence, even when our model does not predict the exact annotation
given by a human labeler, it often predicts similar annotations.
In the second part of the talk, I'll show how the same approach, WSABIE,
can be extended to the multi-task case, where one learns simultaneously to
embed in the same space various music related information such as artist
names, music genres, and audio tracks in order to optimize different but
related costs.

Host: Joseph Keshet, jkeshet at ttic.edu

-- 
Liv Leader
Human Resources Coordinator

Toyota Technological Institute Chicago
6045 S Kenwood Ave
Chicago, IL 60637
Phone- (773) 702-5033
Fax-     (773) 834-9881
Email-  lleader at ttic.edu <jam at ttic.edu>
Web-   www.ttic.edu
 <http://www.ttic.edu/>
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