Grant: Canada Research Chairs
Université de Montréal
$200,000.00
Chaire de recherche du Canada en algorithmes d'apprentissage statistique
EF 2018-19
Résumé
The chair investigates the following broad question: how could machines or living beings discover statistical structure from large quantities of examples to make sense of the complicated world that surrounds them? In artificial intelligence tasks (understanding images, text, web pages, music, etc.), the data of interest lie in high-dimensional spaces and their distribution is highly concentrated near convoluted manifolds arising out of the non-linear interactions of many unknown factors. The chair studies how generalization is possible for such difficult learning problems, by learning abstractions organized at multiple levels of representation, i.e., Deep Learning.*
Programme
Canada Research Chairs
Bénéficiaire
Emplacement
Quebec, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
1000228368-2012
Name nom
Bengio, Yoshua
Department département
informatique et recherche opérationnelle
Organization id
63
Institution établissement
Université de Montréal
Province en
Québec
Province fr
Québec
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2018
Competition year année de concours
2012
Award amount
200000
Program id
CRC
Program name en
Canada Research Chairs
Program name fr
Chaires de recherche du Canada
Group en
Discovery grants programs
Group fr
Programmes de subventions à la découverte
Committee code
9998
Committee name en
Canada Research Chair Selection Committee
Committee name fr
Comité de sélection des Chaires de recherche du Canada
Area of application code
9999
Area of application group en
Not available
Area of application group fr
Non disponible
Area of application en
Not available
Area of application fr
Non disponible
Research subject code
2800
Research subject group en
Artificial intelligence
Research subject group fr
Intelligence artificielle
Research subject en
Artificial intelligence (computer vision, use2603)
Research subject fr
Intelligence artificielle (vision artificielle, utiliser 2603)
Partie
0
Nb partie
NA
Application title
Chaire de recherche du Canada en algorithmes d'apprentissage statistique
Keyword
NSERC
Application summary
The chair investigates the following broad question: how could machines or living beings discover statistical structure from large quantities of examples to make sense of the complicated world that surrounds them? In artificial intelligence tasks (understanding images, text, web pages, music, etc.), the data of interest lie in high-dimensional spaces and their distribution is highly concentrated near convoluted manifolds arising out of the non-linear interactions of many unknown factors. The chair studies how generalization is possible for such difficult learning problems, by learning abstractions organized at multiple levels of representation, i.e., Deep Learning.*
