MUMBAI, India, Oct. 11 -- Intellectual Property India has published a patent application (202528091611 A) filed by Google Llc, Mountain View, U.S.A., on Sept. 24, for 'systems and methods for progressive learning for machine-learned models to optimize training speed.'
Inventor(s) include Tan, Mingxing; and Le, Quoc V.
The application for the patent was published on Oct. 10, under issue no. 41/2025.
According to the abstract released by the Intellectual Property India: "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 magnitude configured to control a relative effect of one or more regularization techniques, the machine-learned model using one or more respective first training samples of the plurality of training samples. The method can include, for one or more second training iterations, training, based at least in part on a second regularization magnitude greater than the first regularization magnitude, the machine-learned model using one or more respective second training samples of the plurality of training samples."
The patent application was internationally filed on Dec. 29, 2021, under International application No.PCT/US2021/065448.
Disclaimer: Curated by HT Syndication.
