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Note that this seems to be a grab-bag of papers/posters referencing "deep learning" from 2014. I'm not sure what this adds over the equivalent Google Scholar q
by ajtulloch 12y ago
Note that this seems to be a grab-bag of papers/posters referencing "deep learning" from 2014. I'm not sure what this adds over the equivalent Google Scholar query.
If you're interested in very recent advances in machine learning (including deep learning), optimization, I'd suggest also looking at the papers accepted at top conferences in ML, e.g.
ICLR 2014 - http://openreview.net/venue/iclr2014 http://openreview.net/venue/iclr2014
ECCV 2014 - http://eccv2014.org/ http://eccv2014.org/
EMNLP 2014 - http://emnlp2014.org/papers.html http://emnlp2014.org/papers.html
KDD 2014 - http://www.kdd.org/kdd2014/index.html http://www.kdd.org/kdd2014/index.html (research track)
NIPS 2013 - http://nips.cc/Conferences/2013/Program/accepted-papers.php http://nips.cc/Conferences/2013/Program/accepted-papers.php
- karpathy 12y agoinline Show HN: or give ScholarOctopus a shot :) ( http://bit.ly/scholaroctopus http://bit.ly/scholaroctopus ) A pet project that takes papers from these top conferences and embeds them in 2D with t-SNE based on tf-idf L2 content similarity, so you can see clusters of publications - including for example a cluster of deep learning papers if you search "deep".
- amund 12y agoYes, I know the bibliography is a bit sparse right now, but we're gradually increasing its coverage. Will also add more annotations to it (per category), e.g. areas where deep learning could be applied but is lightly or not at all applied yet.