US Patent Issued to Salesforce on Sept. 2 for "Techniques for machine learning model selection for domain generalization" (California Inventors)

ALEXANDRIA, Va., Sept. 3 -- United States Patent no. 12,406,210, issued on Sept. 2, was assigned to Salesforce Inc. (San Francisco).

"Techniques for machine learning model selection for domain generalization" was invented by Devansh Arpit (Pacifica, Calif.), Huan Wang (Palo Alto, Calif.), Yingbo Zhou (Palo Alto, Calif.) and Caiming Xiong (Palo Alto, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "A computing device may perform training of a set of machine learning models on a first data set associated with a first domain. In some examples, the training may include, for each machine learning model of the set of machine learning models, inputting, as values for a set of parameters of the respective sets ...