Patents by Inventor Neil Houlsby

Neil Houlsby 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).

  • GENERATING QUERY VARIANTS USING A TRAINED GENERATIVE MODEL
    Publication number: 20230281193
    Abstract: Systems, methods, and computer readable media related to generating query variants for a submitted query. In many implementations, the query variants are generated utilizing a generative model. A generative model is productive, in that it can be utilized to actively generate a variant of a query based on application of tokens of the query to the generative model, and optionally based on application of additional input features to the generative model.
    Type: Application
    Filed: May 12, 2023
    Publication date: September 7, 2023
    Inventors: Jyrki Alakuijala, Christian Buck, Jannis Bulian, Massimiliano Ciaramita, Wojciech Gajewski, Andrea Gesmundo, Neil Houlsby, Wei Wang
  • Generating query variants using a trained generative model
    Patent number: 11663201
    Abstract: Systems, methods, and computer readable media related to generating query variants for a submitted query. In many implementations, the query variants are generated utilizing a generative model. A generative model is productive, in that it can be utilized to actively generate a variant of a query based on application of tokens of the query to the generative model, and optionally based on application of additional input features to the generative model.
    Type: Grant
    Filed: April 27, 2018
    Date of Patent: May 30, 2023
    Assignee: GOOGLE LLC
    Inventors: Jyrki Alakuijala, Christian Buck, Jannis Bulian, Massimiliano Ciaramita, Wojciech Gajewski, Andrea Gesmundo, Neil Houlsby, Wei Wang
  • GENERATING QUERY VARIANTS USING A TRAINED GENERATIVE MODEL
    Publication number: 20200142888
    Abstract: Systems, methods, and computer readable media related to generating query variants for a submitted query. In many implementations, the query variants are generated utilizing a generative model. A generative model is productive, in that it can be utilized to actively generate a variant of a query based on application of tokens of the query to the generative model, and optionally based on application of additional input features to the generative model.
    Type: Application
    Filed: April 27, 2018
    Publication date: May 7, 2020
    Inventors: Jyrki Alakuijala, Christian Buck, Jannis Bulian, Massimiliano Ciaramita, Wojciech Gajewski, Andrea Gesmundo, Neil Houlsby, Wei Wang