Patents by Inventor Hendrik Harkema

Hendrik Harkema has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Structured adversarial, training for natural language machine learning tasks
    Patent number: 11544472
    Abstract: A method includes obtaining first training data having multiple first linguistic samples. The method also includes generating second training data using the first training data and multiple symmetries. The symmetries identify how to modify the first linguistic samples while maintaining structural invariants within the first linguistic samples, and the second training data has multiple second linguistic samples. The method further includes training a machine learning model using at least the second training data. At least some of the second linguistic samples in the second training data are selected during the training based on a likelihood of being misclassified by the machine learning model.
    Type: Grant
    Filed: February 24, 2020
    Date of Patent: January 3, 2023
    Assignee: Samsung Electronics Co., Ltd.
    Inventors: Edward P. Stabler, Benjamin Goldsmith, Hendrik Harkema
  • STRUCTURED ADVERSARIAL TRAINING FOR NATURAL LANGUAGE MACHINE LEARNING TASKS
    Publication number: 20210224486
    Abstract: A method includes obtaining first training data having multiple first linguistic samples. The method also includes generating second training data using the first training data and multiple symmetries. The symmetries identify how to modify the first linguistic samples while maintaining structural invariants within the first linguistic samples, and the second training data has multiple second linguistic samples. The method further includes training a machine learning model using at least the second training data. At least some of the second linguistic samples in the second training data are selected during the training based on a likelihood of being misclassified by the machine learning model.
    Type: Application
    Filed: February 24, 2020
    Publication date: July 22, 2021
    Inventors: Edward P. Stabler, Benjamin Goldsmith, Hendrik Harkema