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Deep Gate Recurrent Neural Network
- zk00006 10y agowhere is the link to pdf?
- deleted 10y ago[deleted]
- Houshalter 10y agohttp://arxiv.org/pdf/1604.02910v2 http://arxiv.org/pdf/1604.02910v2
- deleted 10y ago[deleted]
- jean- 10y agoThe comment field on arXiv reads: > This paper has been withdrawn by the author due to lacking of enough experiments
- argonaut 10y agoPSA: In case you didn't know, anyone can publish anything to arxiv.
- colah3 10y agoI missed the actual paper before it got taken down. But as someone in the field, I'd like to say that these are real researchers at a respected group. The Helsinki group has done a lot of lovely work over the last few years -- ladder nets come to mind. This paper is by Yuan Gao, and his advisor Dorota Glowacka. Dr. Glowacka has a pretty substantial publication record, mostly focused on reinforcement learning: https://scholar.google.com/citations?user=sDZkDHQAAAAJ&hl=en https://scholar.google.com/citations?user=sDZkDHQAAAAJ&hl=en Yuan Gao is a second year grad student, and this is one of his first publications. I think it shows a lot of integrity to realize a weakness in your work and remove it, pending refinement.
- Djabbz 10y agoThat's exactly why double blind reviewing is necessary. #bias
- colah3 10y agoI hope my previous comment didn't come across as me suggesting that the paper shouldn't be scrutinized because it comes from an established research group. Of course, it absolutely should be and double blind review is a helpful mechanism for achieving this. One possible reading of the parent comment was an attack on the researchers. Of course, the parent probably didn't mean it that way but it might still feel hurtful to the authors and I wanted to clarify it. :)
- argonaut 10y agoIt was an attack on HN'ers blindly upvoting things from arxiv, because most HN readers do not properly scrutinize postings from arxiv or take it with a grain of salt. I was well aware these were actual researchers. Your comment probably didn't help very much here because most HN'ers, again, will just see that the authors are PhD's or from a decent group, and assume it's a legit paper.