-
公开(公告)号:US20240185034A1
公开(公告)日:2024-06-06
申请号:US18130648
申请日:2023-04-04
Applicant: NVIDIA Corporation
Inventor: Ali Hatamizadeh , Gregory Heinrich , Hongxu Yin , Jose Manuel Alvarez Lopez , Jan Kautz , Pavlo Molchanov
IPC: G06N3/0455 , G06N3/0464 , G06N3/08
CPC classification number: G06N3/0455 , G06N3/0464 , G06N3/08
Abstract: Apparatuses, systems, and techniques of using one or more machine learning processes (e.g., neural network(s)) to process data (e.g., using hierarchical self-attention). In at least one embodiment, image data is classified using hierarchical self-attention generated using carrier tokens that are associated with windowed subregions of the image data, and local attention generated using local tokens within the windowed subregions and the carrier tokens.
-
公开(公告)号:US20220067525A1
公开(公告)日:2022-03-03
申请号:US17002660
申请日:2020-08-25
Applicant: NVIDIA Corporation
Inventor: Dilip Sequeira , Pavlo Molchanov , Gregory Heinrich , Edvard Olav Valter Fagerholm
Abstract: Apparatuses, systems, and techniques to reduce a size of neural networks. In at least one embodiment, a size of a neural network is reduced by at least removing one or more neurons of the neural network and adjusting one or more layers of the neural network to compensate for the removed one or more neurons.
-
公开(公告)号:US20230059924A1
公开(公告)日:2023-02-23
申请号:US17394842
申请日:2021-08-05
Applicant: NVIDIA Corporation
Inventor: Gregory Heinrich , Michele Fenzi , Christoph Angerer
Abstract: Apparatuses, systems, and techniques to automatically select training data. In at least one embodiment, training data is automatically selected based on, for example, metadata associated with the training data.
-
公开(公告)号:US20220188608A1
公开(公告)日:2022-06-16
申请号:US17122598
申请日:2020-12-15
Applicant: NVIDIA Corporation
Inventor: Gregory Heinrich , Maxim Milakov , Xin Tong , Yue Wu
IPC: G06N3/063 , G06N5/04 , G06F12/0893
Abstract: Apparatuses, systems, and techniques to cache and reuse data for a neural network. In at least one embodiment, data generated by one or more layers of a neural network is cached and reused by the neural network.
-
-
-