US Patent Issued to Salesforce on May 27 for "Systems and methods for semi-supervised learning with contrastive graph regularization" (Singaporean Inventors)

ALEXANDRIA, Va., June 17 -- United States Patent no. 12,314,861, issued on May 27, was assigned to Salesforce Inc. (San Francisco).

"Systems and methods for semi-supervised learning with contrastive graph regularization" was invented by Junnan Li (Singapore) and Chu Hong Hoi (Singapore).

According to the abstract* released by the U.S. Patent & Trademark Office: "Embodiments described herein provide an approach (referred to as "Co-training" mechanism throughout this disclosure) that jointly learns two representations of the training data, their class probabilities and low-dimensional embeddings. Specifically, two representations of each image sample are generated: a class probability produced by the classification head and a low-dimensiona...