ALEXANDRIA, Va., Sept. 24 -- United States Patent no. 12,743,629, issued on Sept. 22, was assigned to Seoul National University R&DB Foundation (Seoul, South Korea).
"Method and apparatus for training unsupervised conditional generative model" was invented by Sungroh Yoon (Seoul, South Korea), Uiwon Hwang (Seoul, South Korea) and Heeseung Kim (Seoul, South Korea).
According to the abstract* released by the U.S. Patent & Trademark Office: "Disclosed is a method of training a generative model capable of robustly training the generative model even when there is no label in training data, salient attributes are uneven, and there is only a small number of pieces of data labeled with a salient attribute desired to be learned, and is a method of...