US Patent Issued to GOOGLE on Jan. 20 for "Systems and methods for progressive learning for machine-learned models to optimize training speed" (California Inventors)

ALEXANDRIA, Va., Jan. 20 -- United States Patent no. 12,530,876, issued on Jan. 20, was assigned to GOOGLE LLC (Mountain View, Calif.).

"Systems and methods for progressive learning for machine-learned models to optimize training speed" was invented by Mingxing Tan (Newark, Calif.) and Quoc V. Le (Sunnyvale, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "Systems and methods of the present disclosure can include a computer-implemented method for efficient machine-learned model training. The method can include obtaining a plurality of training samples for a machine-learned model. The method can include, for one or more first training iterations, training, based at least in part on a first regularization...