公开(公告)号：US20230206030A1

公开(公告)日：2023-06-29

申请号：US18008404

申请日：2021-06-07

Applicant: Google LLC

Inventor： Rodolphe Jenatton ,  Florian Wenzel ,  Dustin Tran

IPC: G06N3/045 ,  G06N3/0985

CPC classification number: G06N3/045 ,  G06N3/0985

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating an ensemble of neural networks. In particular, the neural networks in the ensemble are trained using different hyperparameters from one another.

公开(公告)号：US20240289926A1

公开(公告)日：2024-08-29

申请号：US18564915

申请日：2022-05-27

Applicant: Google LLC

Inventor： Carlos Riquelme Ruiz ,  André Susano Pinto ,  Basil Mustafa ,  Daniel M. Keysers ,  Joan Puigcerver i Perez ,  Maxim Neumann ,  Neil Matthew Tinmouth Houlsby ,  Rodolphe Jenatton

IPC: G06T5/60

CPC classification number: G06T5/60 ,  G06T2207/20084

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating predictions about images. One of the systems includes a neural network comprising a sequence of one or more network blocks that are each configured to perform operations comprising: obtaining a block input that represents an intermediate representation of an input image; determining a plurality of patches of the block input or of an updated representation of the block input, wherein each patch comprises a different subset of elements of the block input or of the updated representation of the block input; assigning each patch to one or more respective expert modules of a plurality of expert modules of the network block; for each patch of the plurality of patches, processing the patch using the corresponding expert modules to generate respective module outputs; and generating a block output by combining the module outputs.