[Lisa_seminaires] UdeM-McGill-MITACS machine learning seminar Thu Mar. 4 at 14h30, AA-3195

Dumitru Erhan dumitru.erhan at umontreal.ca
Jeu 25 Fév 14:38:27 EST 2010


Next week's seminar (see
http://www.iro.umontreal.ca/article.php3?id_article=107&lang=en):

*Evaluating and Learning Invariant Features*

by Ian Goodfellow
Stanford University

Location: *Pavillon André-Aisenstadt (UdeM), room AA-3195*
Time: Thursday, March 4, 14:30.

*Abstract*: One approach to unsupervised learning is to attempt to discover
a function that decomposes the input into variables representing distinct
factors of variation. A weaker version of this is to learn a representation
where each variable is invariant to a small number of confounding aspects of
the input. Experimental results show that the current degree of invariance
achieved by some deep learning algorithms is small compared to that achieved
by systems hand-designed to be invariant to specific transformations. I
discuss some ideas for future invariance evaluation experiments and for
methods of automatically learning to separate factors of variation.



-- 
http://dumitru.ca, +1-514-432-8435
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