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公开(公告)号:US20240104345A1
公开(公告)日:2024-03-28
申请号:US17859670
申请日:2022-07-07
Applicant: Nvidia Corporation
Inventor: Cheng Peng , Andriy Myronenko , Ali Hatamizsadeh , Vishwesh Nath , Md Mahfuzur Rahman Siddiquee , Yufan He , Daguang Xu , Dong Yang
CPC classification number: G06N3/0454 , G06N3/08 , G16H30/20
Abstract: Apparatuses, systems, and techniques are presented to generate images representing realistic motion or activity. In at least one embodiment, one or more neural networks are used to select a first neural network to perform a first task based, at least in part, upon a performance estimated by a second neural network.
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公开(公告)号:US20240185100A1
公开(公告)日:2024-06-06
申请号:US18076221
申请日:2022-12-06
Applicant: NVIDIA Corporation
Inventor: Alvin Ihsani , Shaul Arazi , Elena Agostini , Penn Tasinga , Carl Everett Lacey, JR. , Dana Groff , Dotan David Levi , Wojciech Wasko , Vishwesh Nath , Sachidanand Alle
Abstract: Methods and systems for obtaining data having a first format, converting the data to a second format, storing the converted data in memory accessible by at least one parallel processing unit, and processing the converted data stored in the memory using the at least one parallel processing unit.
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公开(公告)号:US20240169180A1
公开(公告)日:2024-05-23
申请号:US17990498
申请日:2022-11-18
Applicant: NVIDIA Corporation
Inventor: Dong Yang , Yufan He , Ziyue Xu , Ali Hatamizadeh , Vishwesh Nath , Wenqi Li , Andriy Myronenko , Can Zhao , Holger Reinhard Roth , Daguang Xu
IPC: G06N3/04
CPC classification number: G06N3/04
Abstract: Apparatuses, systems, and techniques to generate one or more neural networks. In at least one embodiment, one or more neural networks are generated, based on, for example, one or more convolutional neural network operations and one or more transformer neural network operations.
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公开(公告)号:US20230036451A1
公开(公告)日:2023-02-02
申请号:US17374525
申请日:2021-07-13
Applicant: Nvidia Corporation
Inventor: Ali Hatamizadeh , Daguang Xu , Dong Yang , Holger Reinhard Roth , Andriy Myronenko , Vishwesh Nath , Yucheng Tang
Abstract: Apparatuses, systems, and techniques are presented to predict annotations for objects in images. In at least one embodiment, one or more neural networks are used to help generate one or more segmentation boundaries of one or more objects within one or more digital images, wherein the one or more neural networks are to transform one or more representations of one or more portions of the one or more objects into one or more lower-dimensional representations of the one or more portions of the one or more objects.
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公开(公告)号:US20250061323A1
公开(公告)日:2025-02-20
申请号:US18367223
申请日:2023-09-12
Applicant: NVIDIA Corporation
Inventor: Vishwesh Nath , Daguang Xu , Bin Liu , Yufan He , Sachidanand Alle , Pengcheng Ma , Raghav Mani , Marc Thomas Edgar , Andrew Feng
IPC: G06N3/08
Abstract: Apparatuses, systems, and techniques to perform active learning. In at least one embodiment, one or more neural networks are trained using training data selected for manual relabeling based, at least in part, on an amount by which the training data is mis-labeled
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公开(公告)号:US20240303504A1
公开(公告)日:2024-09-12
申请号:US18124999
申请日:2023-03-22
Applicant: NVIDIA Corporation
Inventor: Ziyue Xu , Holger Reinhard Roth , Meirui Jiang , Wenqi Li , Dong Yang , Can Zhao , Vishwesh Nath , Daguang Xu
IPC: G06N3/098
CPC classification number: G06N3/098
Abstract: Apparatuses, systems, and techniques to train/use one or more neural networks. In at least one embodiment, a processor comprises one or more circuits to cause neural network training information to be aggregated based, at least in part, on contribution of the neural network training data and one or more performance metrics of the neural network.
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公开(公告)号:US20210334955A1
公开(公告)日:2021-10-28
申请号:US16858219
申请日:2020-04-24
Applicant: Nvidia Corporation
Inventor: Holger Roth , Dong Yang , Daguang Xu , Vishwesh Nath
IPC: G06T7/00 , G06F40/169 , G06N3/08 , G06T7/11
Abstract: Apparatuses, systems, and techniques are presented to predict annotations for objects in images. In at least one embodiment, one or more annotations corresponding to one or more objects within one or more images are generated based, at least in part, on one or more neural networks iteratively trained using the one or more images.
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