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Machine Learning-Robotics

Domaine
Machine Learning-Robotics
Domain - extra
Année
2010
Starting
Oct. 2010
État
Open
Sujet
Deep Neural Nets: From Curriculum to Multi-Task Learning
Thesis advisor
SEBAG Michèle
Co-advisors
Laboratory
Collaborations
Abstract
Deep Neural Networks combine unsupervised and supervised learning.
The order of examples considered to train the DNN has been shown to have a significant influence on the performances, leading to the so-called Curriculum Learning
approach.

This PhD will investigate the relations between Curriculum Learning and Multi-Task Learning
Context
see http://www.lri.fr/~sebag/Theses/Sujet_These_Deep.pdf
Objectives
Work program
Extra information
Prerequisite
Détails
Expected funding
Institutional funding
Status of funding
Expected
Candidates
Pierre Allegraud
Utilisateur
michele-martine.sebag
Créé
Lundi 21 juin 2010 09:58:34 CEST
dernière modif.
Lundi 21 juin 2010 09:58:34 CEST

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Ecole Doctorale Informatique Paris-Sud


Directrice
Nicole Bidoit
Assistante
Stéphanie Druetta
Conseiller aux thèses
Dominique Gouyou-Beauchamps

ED 427 - Université Paris-Sud
UFR Sciences Orsay
Bat 650 - aile nord - 417
Tel : 01 69 15 63 19
Fax : 01 69 15 63 87
courriel: ed-info à lri.fr