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.

公开(公告)号：US20230019211A1

公开(公告)日：2023-01-19

申请号：US17364341

申请日：2021-06-30

Applicant: NVIDIA Corporation

Inventor： Xiaosong Wang ,  Ziyue Xu ,  Lickkong Tam ,  Dong Yang ,  Daguang Xu

IPC: G06T7/00 ,  G06T3/40 ,  G06N3/04

Abstract: Apparatuses, systems, and techniques to indicate an extent, to which text corresponds to one or more images. In at least one embodiment, an extent to which text corresponds to one or more images is indicated using one or more neural networks and used to train the one or more neural networks.