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KDD16 accept papers
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dl2.md

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* [《Multi-Way, Multilingual Neural Machine Translation with a Shared Attention Mechanism》](http://arxiv.org/abs/1601.01073)
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介绍: 基于Attention共享机制的多通道/多语言感知机器翻译模型
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* [《CS229 - Machine Learning, Spring 2016, Stanford》](http://cs229.stanford.edu)
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介绍: 斯坦福2016年机器学习春季课程
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* [《What is deep learning?》](https://www.quora.com/What-is-deep-learning)
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介绍: 我们深度学习,做数据处理。究竟深度学习可以用来做什么?什么场景下引入深度学习要必传统的数据处理方式要好?初学者可以先看看这篇文章
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* [《KDD16 accept papers》](http://www.kdd.org/kdd2016/program/accepted-papers)
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介绍: KDD16论文是双轨制:分为研究和应用数据科学(之前叫工业&政府),均是10页。前者录取142篇(口头70+展报72),后者录取66篇(口头40+展报26) ,共计208篇。去年录取率:160/819=19.5%。
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高产作者:九篇Hui Xiong;七篇Jieping Ye;五篇Hengshu Zhu。高产机构:十篇Tsinghua University;九篇Carnegie Mellon University、Rutgers;八篇Stanford University。高频词:learning online networks[评论来自:学生古]

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