ALEXANDRIA, Va., June 19 -- United States Patent no. 12,333,396, issued on June 17, was assigned to Visa International Service Association (San Francisco).

"System, method, and computer program product for reducing dataset biases in natural language inference tasks using unadversarial training" was invented by Minje Choi (Ann Arbor, Mich.), Javid Ebrahimi (Redwood City, Calif.) and Wei Zhang (Fremont, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "Provided are systems for generating a machine learning model for classification tasks using unadversarial training that include a processor to perform an unadversarial training procedure to train a machine learning model to provide a trained machine learning...