Mercurial > ift6266
comparison writeup/aistats_review_response.txt @ 619:ea31fee25147
review response
| author | Yoshua Bengio <bengioy@iro.umontreal.ca> |
|---|---|
| date | Sun, 09 Jan 2011 14:15:04 -0500 |
| parents | 14ba0120baff |
| children | 5c67f674d724 |
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| 618:14ba0120baff | 619:ea31fee25147 |
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| 1 | 1 |
| 2 We thank the authors for their thoughtful comments. Here are some responses. | 2 We thank the authors for their thoughtful comments. Please find our responses below. |
| 3 | 3 |
| 4 * Comparisons with shallower networks, but using unsupervised pre-training: | 4 * Comparisons with shallower networks, but using unsupervised pre-training: |
| 5 e will add those results to the paper. Previous work in our group with | 5 e will add those results to the paper. Previous work in our group with |
| 6 very similar data (the InfiniteMNIST dataset were published in JMLR in 20102 | 6 very similar data (the InfiniteMNIST dataset were published in JMLR in 20102 |
| 7 "Why Does Unsupervised Pre-training Help Deep Learning?"). The results indeed | 7 "Why Does Unsupervised Pre-training Help Deep Learning?"). The results indeed |