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comparison writeup/nips2010_submission.tex @ 512:6f042a71be23

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author Yoshua Bengio <bengioy@iro.umontreal.ca>
date Tue, 01 Jun 2010 14:02:04 -0400
parents b8e33d3d7f65
children 66a905508e34
comparison
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507:b8e33d3d7f65 512:6f042a71be23
88 unsupervised learning and unlabeled examples~\citep{Bengio-2009,WestonJ2008-small} 88 unsupervised learning and unlabeled examples~\citep{Bengio-2009,WestonJ2008-small}
89 and multi-task learning, not much has been done yet to explore the impact 89 and multi-task learning, not much has been done yet to explore the impact
90 of {\em out-of-distribution} examples and of the multi-task setting 90 of {\em out-of-distribution} examples and of the multi-task setting
91 (but see~\citep{CollobertR2008}). In particular the {\em relative 91 (but see~\citep{CollobertR2008}). In particular the {\em relative
92 advantage} of deep learning for this settings has not been evaluated. 92 advantage} of deep learning for this settings has not been evaluated.
93 93 The hypothesis explored here is that a deep hierarchy of features
94 % TODO: Explain why we care about this question. 94 may be better able to provide sharing of statistical strength
95 between different regions in input space or different tasks,
96 as discussed in the conclusion.
95 97
96 In this paper we ask the following questions: 98 In this paper we ask the following questions:
97 99
98 %\begin{enumerate} 100 %\begin{enumerate}
99 $\bullet$ %\item 101 $\bullet$ %\item