公开(公告)号：US20220076133A1

公开(公告)日：2022-03-10

申请号：US17013432

申请日：2020-09-04

Applicant: NVIDIA Corporation

Inventor： Dong Yang ,  Ziyue Xu ,  Wenqi Li ,  Andriy Myronenko ,  Holger Reinhard Roth ,  Xiaosong Wang ,  Wentao Zhu ,  Daguang Xu

IPC: G06N3/08 ,  G06N3/04

Abstract: Apparatuses, systems, and techniques to facilitate global semi-supervised training of neural networks to perform image segmentation related to diagnosis and management of emerging diseases, such as COVID-19. In at least one embodiment, distributed client training frameworks train one or more client neural networks to perform image segmentation according to a local training data set as well as global neural network data aggregated, by one or more central servers, from each of one or more globally distributed client neural networks.

公开(公告)号：US20220284582A1

公开(公告)日：2022-09-08

申请号：US17190724

申请日：2021-03-03

Applicant: NVIDIA Corporation

Inventor： Dong Yang ,  Yufan He ,  Holger Reinhard Roth ,  Can Zhao ,  Daguang Xu

IPC: G06T7/10 ,  G06T7/00 ,  G06N3/04 ,  G06N3/10

Abstract: Apparatuses, systems, and techniques to select a neural network using an amount of memory to be used. In at least one embodiment, a processor includes one or more circuits to cause one or more neural networks to be selected from a plurality of neural networks based, at least in part, on an amount of memory to be used by the one oe more neural networks.

公开(公告)号：US20210374502A1

公开(公告)日：2021-12-02

申请号：US16889652

申请日：2020-06-01

Applicant: NVIDIA Corporation

Inventor： Holger Reinhard Roth ,  Dong Yang ,  Wenqi Li ,  Andriy Myronenko ,  Wentao Zhu ,  Ziyue Xu ,  Xiaosong Wang ,  Daguang Xu

IPC: G06N3/04 ,  G06N3/08 ,  G06T7/10

Abstract: Apparatuses, systems, and techniques to select a nueral network architecture from a plurality of neural networs in a federated learning (FL) settng. In at least one embodiment, a neural network is trained by combining training resutls from different FL computing systesms, where each of the different FL computing systems, for example, trains different portions of the nerual network.

公开(公告)号：US20200293828A1

公开(公告)日：2020-09-17

申请号：US16813673

申请日：2020-03-09

Applicant: NVIDIA Corporation

Inventor： Xiaosong Wang ,  Ziyue Xu ,  Dong Yang ,  Holger Reinhard Roth ,  Andriy Myronenko ,  Daguang Xu ,  Ling Zhang

IPC: G06K9/62 ,  G06N3/063 ,  G06N3/08 ,  G06N3/04 ,  G06K9/00

Abstract: Apparatuses, systems, and techniques to perform training of neural networks using stacked transformed images. In at least one embodiment, a neural network is trained on stacked transformed images and trained neural network is provided to be used for processing images from an unseen domain distinct from a source domain, wherein stacked transformed images are transformed according to transformation aspects related to domain variations.

公开(公告)号：US20230021926A1

公开(公告)日：2023-01-26

申请号：US17373309

申请日：2021-07-12

Applicant: NVIDIA Corporation

Inventor： Can Zhao ,  Daguang Xu ,  Holger Reinhard Roth ,  Ziyue Xu ,  Dong Yang ,  Andriy Myronenko ,  Lickkong Tam

IPC: G06T3/40 ,  G06K9/62 ,  G06N3/08 ,  G16H30/20

Abstract: Apparatuses, systems, and techniques to generate one or more images of an object. In at least one embodiment, a technique includes training one or more neural networks to generate one or more images of an object from at least a first image of the object and a second lower-resolution image of the object, where the training includes a comparison of the one or more generated images of the object with the second lower-resolution image of the object.

公开(公告)号：US20220366220A1

公开(公告)日：2022-11-17

申请号：US17244781

申请日：2021-04-29

Applicant: NVIDIA Corporation

Inventor： Holger Reinhard Roth ,  Yingda Xia ,  Daguang Xu ,  Andriy Myronenko ,  Wenqi Li ,  Dong Yang

IPC: G06N3/04 ,  H04L29/08 ,  G06K9/62

Abstract: Apparatuses, systems, and techniques to improve federated learning for neural networks. In at least one embodiment, a federated server dynamically selects neural network weights according to one or more learnable aggregation weights indicating a contribution from each of one or more edge devices or clients during federated training according to various characteristics of each edge device or client model and training data.

公开(公告)号：US20200027210A1

公开(公告)日：2020-01-23

申请号：US16515890

申请日：2019-07-18

Applicant: NVIDIA Corporation

Inventor： Nicholas Haemel ,  Bojan Vukojevic ,  Risto Haukioja ,  Andrew Feng ,  Yan Cheng ,  Sachidanand Alle ,  Daguang Xu ,  Holger Reinhard Roth ,  Johnny Israeli

IPC: G06T7/00 ,  G16H30/20 ,  G06T19/00 ,  G06N5/04 ,  G06N3/04 ,  G06T7/10 ,  G06F9/455 ,  G06F9/54 ,  G06T5/00

Abstract: In various examples, a virtualized computing platform for advanced computing operations—including image reconstruction, segmentation, processing, analysis, visualization, and deep learning—may be provided. The platform may allow for inference pipeline customization by selecting, organizing, and adapting constructs of task containers for local, on-premises implementation. Within the task containers, machine learning models generated off-premises may be leveraged and updated for location specific implementation to perform image processing operations. As a result, and using the virtualized computing platform, facilities such as hospitals and clinics may more seamlessly train, deploy, and integrate machine learning models within a production environment for providing informative and actionable medical information to practitioners.

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.

公开(公告)号：US20220058466A1

公开(公告)日：2022-02-24

申请号：US16998694

申请日：2020-08-20

Applicant: NVIDIA Corporation

Inventor： Dong Yang ,  Wenqi Li ,  Ziyue Xu ,  Xiaosong Wang ,  Can Zhao ,  Holger Reinhard Roth ,  Daguang Xu

IPC: G06N3/04 ,  G06N3/08

Abstract: Apparatuses, systems, and techniques to generate an optimized neural network architecture. In at least one embodiment, various neural network components are used to generate one or more neural network configurations, and each neural network configuration is trained in order to determine an optimal neural network architecture for a training dataset.

公开(公告)号：US20220027672A1

公开(公告)日：2022-01-27

申请号：US16940241

申请日：2020-07-27

Applicant: NVIDIA Corporation

Inventor： Ziyue Xu ,  Xiaosong Wang ,  Dong Yang ,  Holger Reinhard Roth ,  Can Zhao ,  Wentao Zhu ,  Daguang Xu

IPC: G06K9/62 ,  G06K9/34 ,  G06N3/08

Abstract: Apparatuses, systems, and techniques to train one or more neural networks to generate labels for unsupervised or partially-supervised data. In at least one embodiment, one or more pseudolabels are generated by a training framework based on available weak annotations for an input medical image, and combined with feature information about said input medical image generated by one or more neural networks to generate a label about said input medical image.