Patents by Inventor Pierre Richemond

Pierre Richemond 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).

  • SELF-SUPERVISED REPRESENTATION LEARNING USING BOOTSTRAPPED LATENT REPRESENTATIONS
    Publication number: 20210383225
    Abstract: A computer-implemented method of training a neural network. The method comprises processing a first transformed view of a training data item, e.g. an image, with a target neural network to generate a target output, processing a second transformed view of the training data item, e.g. image, with an online neural network to generate a prediction of the target output, updating parameters of the online neural network to minimize an error between the prediction of the target output and the target output, and updating parameters of the target neural network based on the parameters of the online neural network. The method can effectively train an encoder neural network without using labelled training data items, and without using a contrastive loss, i.e. without needing “negative examples” which comprise transformed views of different data items.
    Type: Application
    Filed: June 4, 2021
    Publication date: December 9, 2021
    Inventors: Jean-Bastien François Laurent Grill, Florian Strub, Florent Altché, Corentin Tallec, Pierre Richemond, Bernardo Avila Pires, Zhaohan Guo, Mohammad Gheshlaghi Azar, Bilal Piot, Remi Munos, Michal Valko