arxiv.org/abs/1803.09473
![](https://pbs.twimg.com/media/DhbMYuQXkAAWuiV.jpg)
arxiv.org/abs/1803.09544
![](https://pbs.twimg.com/media/DhbM7QaWsAEfHJw.jpg)
arxiv.org/abs/1404.0417
![](https://pbs.twimg.com/media/DhbOKGDXUAAHoxR.jpg)
usenix.org/node/190845 (this ones comes with a video!)
![](https://pbs.twimg.com/media/DhbQh4RW0AExTR9.jpg)
arxiv.org/abs/1806.07727
![](https://pbs.twimg.com/media/DhbRmURW0AA6gmz.jpg)
This is probably one my favorite #MLonCode papers, such a promising idea!
arxiv.org/abs/1402.4182
![](https://pbs.twimg.com/media/DhbSgTWXUAEUd7d.jpg)
arxiv.org/abs/1803.07764
![](https://pbs.twimg.com/media/DhbTnz0X4AA2iG2.jpg)
arxiv.org/abs/1802.06947
![](https://pbs.twimg.com/media/DhbV_KlWkAIIiVl.jpg)
arxiv.org/abs/1710.11054
#MLonCode #MachineLearning
![](https://pbs.twimg.com/media/DhbXAQKW4AcGwfP.jpg)
The presenter is again our intern @Fulaphex presenting all the way from Poland 🇵🇱
arxiv.org/abs/1803.04497
#MachineLearning #MLonCode
![](https://pbs.twimg.com/media/DhbXt_FX4AcCqOV.jpg)
ieeexplore.ieee.org/document/83302…
#MLonCode #MachineLearning
![](https://pbs.twimg.com/media/DhbYwRoW4AIZu42.jpg)
Up next @Fulaphex presents "Detecting API Documentation Errors" by @_zhong_hao and @zhendongsu from the Institute of Software at the Chinese Academy of Sciences
dl.acm.org/citation.cfm?i…
#MLonCode #MachineLearning
![](https://pbs.twimg.com/media/DhbaIqLWsAAq2kg.jpg)
"Deep Learning to Detect Redundant Method Comments" by Annie Louis et al from @edinburghnlp
arxiv.org/abs/1806.04616
#MLonCode #MachineLearning
![](https://pbs.twimg.com/media/DhbbnDzXkAEgNDX.jpg)
arxiv.org/abs/1801.10467
#MLonCode #MachineLearning
![](https://pbs.twimg.com/media/DhbcCdbW4AMlRNB.jpg)
Up next a chat with the #ML team and all attendees.
Thanks everyone for joining, and thanks for the authors of all the papers ❤️
The video will be released soon.
Join the slack at sourced.tech to be notified.