--- a/writeup/nips2010_submission.tex	Tue Jun 01 10:59:47 2010 -0700
+++ b/writeup/nips2010_submission.tex	Tue Jun 01 14:05:02 2010 -0400
@@ -90,6 +90,10 @@
 of {\em out-of-distribution} examples and of the multi-task setting
 (but see~\citep{CollobertR2008}). In particular the {\em relative
 advantage} of deep learning for this settings has not been evaluated.
+The hypothesis explored here is that a deep hierarchy of features
+may be better able to provide sharing of statistical strength
+between different regions in input space or different tasks,
+as discussed in the conclusion.
 
 In this paper we ask the following questions: