Patents by Inventor Jay Yadawa

Jay Yadawa 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).

  • Techniques for identification of out-of-distribution input data in neural networks
    Patent number: 11978258
    Abstract: Apparatuses, systems, and techniques to identify out-of-distribution input data in one or more neural networks. In at least one embodiment, a technique includes training one or more neural networks to infer a plurality of characteristics about input information based, at least in part, on the one or more neural networks being independently trained to infer each of the plurality of characteristics about the input information.
    Type: Grant
    Filed: April 6, 2021
    Date of Patent: May 7, 2024
    Assignee: NVIDIA Corporation
    Inventors: Sina Mohseni, Arash Vahdat, Jay Yadawa
  • TECHNIQUES FOR IDENTIFICATION OF OUT-OF-DISTRIBUTION INPUT DATA IN NEURAL NETWORKS
    Publication number: 20220318557
    Abstract: Apparatuses, systems, and techniques to identify out-of-distribution input data in one or more neural networks. In at least one embodiment, a technique includes training one or more neural networks to infer a plurality of characteristics about input information based, at least in part, on the one or more neural networks being independently trained to infer each of the plurality of characteristics about the input information.
    Type: Application
    Filed: April 6, 2021
    Publication date: October 6, 2022
    Inventors: Sina Mohseni, Arash Vahdat, Jay Yadawa
  • PROCESSOR AND SYSTEM TO IDENTIFY OUT-OF-DISTRIBUTION INPUT DATA IN NEURAL NETWORKS
    Publication number: 20210142160
    Abstract: Apparatuses, systems, and techniques to identify out-of-distribution input data in one or more neural networks. In at least one embodiment, a technique includes training a first portion of a neural network in a first set of data, and training a second portion of the neural network on a second set of data, where the first and second sets of data are similar within a first range.
    Type: Application
    Filed: November 8, 2019
    Publication date: May 13, 2021
    Inventors: Sina Mohseni, Mandar Manohar Pitale, Jay Yadawa