US Patent Issued to Naver on May 5 for "System and method for fine-tuning an existing machine learning model using out-of-domain data" (French Inventors)

ALEXANDRIA, Va., May 5 -- United States Patent no. 12,620,409, issued on May 5, was assigned to Naver Corp. (Gyeonggi-do, South Korea).

"System and method for fine-tuning an existing machine learning model using out-of-domain data" was invented by Nikolaos Lagos (Grenoble, France) and Ioan Calapodescu (Grenoble, France).

According to the abstract* released by the U.S. Patent & Trademark Office: "Systems, methods, and computer-readable media are provided for accessing out-of-domain training data that includes items of non-textual digital media content. Each of the items is labeled with text and background characteristic(s) that indicate an origination category of candidate origination categories for the item. A pre-trained model is used to...