An early overview of ICLR2017

Machine learning is accelerating, we have an idea and it is on arxiv the next day, NIPS2016 was bigger than ever and it is difficult to keep track of all the new interesting work.

Given that this is the first time I submit to ICLR, and taking advantage from all the data available of OpenReview, I have decided to make some data visualizations. I hope these visualizations help to build a mental idea of which papers are the best rated, the ones with better reviews, who is submitting them, which is the score distribution, etc.