The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Dec. 19, 2023
Filed:
May. 11, 2021
Applicant:
Nvidia Corporation, Santa Clara, CA (US);
Inventors:
Tianshi Cao, Toronto, CA;
Alex Bie, Toronto, CA;
Karsten Julian Kreis, Vancouver, CA;
Sanja Fidler, Toronto, CA;
Arash Vahdat, Mountain View, CA (US);
Assignee:
NVIDIA Corporation, Santa Clara, CA (US);
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 20/00 (2019.01); G06F 18/214 (2023.01); G06F 21/62 (2013.01); G06N 3/08 (2023.01); G06V 20/56 (2022.01);
U.S. Cl.
CPC ...
G06N 20/00 (2019.01); G06F 18/214 (2023.01); G06F 21/6218 (2013.01); G06N 3/08 (2013.01); G06V 20/56 (2022.01);
Abstract
Apparatuses, systems, and techniques to train a generative model based at least in part on a private dataset. In at least one embodiment, the generative model is trained based at least in part on a differentially private Sinkhorn algorithm, for example, using backpropagation with gradient descent to determine a gradient of a set of parameters of the generative models and modifying the set of parameters based at least in part on the gradient.