Patents by Inventor Nimrod LAHAV

Nimrod LAHAV 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).

  • Systems and methods for predictive early stopping in neural network training
    Patent number: 11650968
    Abstract: Systems and methods may train neural networks (NNs) and determine when to stop training to not waste computing or other resources when improvement is not no longer likely. After training period for a NN, a model trained using training data from other NNs may return a a probability of improvement in the loss of the NN or a probability that the likely best loss of the NN is lower than the best loss of the other NNs for which hyperparameters have been chosen. Training may be stopped if the probability is less than a threshold, or a wait value is greater than a wait threshold.
    Type: Grant
    Filed: December 9, 2019
    Date of Patent: May 16, 2023
    Inventors: Dhruv Nair, Gideon Mendels, Nimrod Lahav
  • SYSTEMS AND METHODS FOR PREDICTIVE EARLY STOPPING IN NEURAL NETWORK TRAINING
    Publication number: 20200372342
    Abstract: Systems and methods may train neural networks (NNs) and determine when to stop training to not waste computing or other resources when improvement is not no longer likely. After training period for a NN, a model trained using training data from other NNs may return a a probability of improvement in the loss of the NN or a probability that the likely best loss of the NN is lower than the best loss of the other NNs for which hyperparameters have been chosen. Training may be stopped if the probability is less than a threshold, or a wait value is greater than a wait threshold.
    Type: Application
    Filed: December 9, 2019
    Publication date: November 26, 2020
    Applicant: Comet ML, Inc.
    Inventors: Dhruv NAIR, Gideon MENDELS, Nimrod LAHAV