Trying to keep up with AI research papers can feel like an exercise in futility given how quickly the industry moves. If you’re buried in papers to read that you haven’t quite gotten around to, you’re in luck. To help you catch up, we’ve summarized 10 important AI research papers from 2018 to give you a broad overview of machine learning advancements this year.
There are many more breakthrough papers worth reading as well, but we think this is a good list for you to start with. We’ve done our best to summarize these papers correctly, but if we’ve made any mistakes, please contact us to request a fix. If these summaries of scientific AI research papers are useful for you, you can subscribe to our AI Research mailing list at the bottom of this article to be alerted when we release new summaries.
We’re planning to release summaries of important papers in natural language processing (NLP) and computer vision in a few weeks.
Source: topbots.com