Nearly 40 has produced tens of thousands of papers in the field of machine learning and has grown at a rate of tens of thousands per year. But there are not many that can really be called classics, withstood historical tests, and can be put into practical use. This paper sorts out the classic papers that appear in the history of machine learning. They are sorted according to the number of times they are cited, divided into top10, the number of citations exceeds 2 million, the number of citations exceeds 1 million, and the 4 part of the future has potential.
