From conferences to surveys
We live in an period of superlatives. Annually, month, week, new developments in machine studying analysis are introduced. The variety of (ML) papers added to arXiv is rising equally quick. Greater than 11 000 papers have been added final October within the Laptop Science Class.
Equally, giant machine studying conferences are seeing ever-growing variety of submissions — so many in reality, that, to make sure a good reviewing course of, submitting authors are required to function reviewers for different submissions (known as reciprocal reviewing).
Every paper presumably introduces new analysis outcomes, a brand new technique, new datasets or benchmarks. As a newbie in Machine Studying, it’s troublesome to even get began: the quantity of data is overwhelming. In a earlier article, I argued that and why ML novices ought to learn papers. The quintessence is that good analysis papers are self-contained lectures that hone analytical pondering.
On this article, I give novices concepts on how and the place to seek out attention-grabbing papers to learn, a degree that I didn’t totally elaborate beforehand. Over 7 steps, I information you thru the attainable technique of discovering and studying attention-grabbing papers.