公开(公告)号：US20250045573A1

公开(公告)日：2025-02-06

申请号：US18709267

申请日：2022-03-03

Applicant: Intel Corporation

Inventor： Anbang YAO ,  Yikai WANG ,  Zhaole SUN ,  Yi YANG ,  Feng CHEN ,  Zhuo WANG ,  Shandong WANG ,  Yurong CHEN

IPC: G06N3/0495 ,  G06N3/0464

Abstract: The disclosure relates to decimal-bit network quantization of CNN models. Methods, apparatus, systems, and articles of manufacture for quantizing a CNN model includes, for a convolutional layer of the CNN model: allocating a 1-bit convolutional kernel subset to the convolutional layer, wherein the convolutional layer includes 32-bit or 16-bit floating-point convolutional kernels with a size of K×K and the 1-bit convolutional kernel subset includes 2N 1-bit convolutional kernel candidates with the size of K×K, 1≤N

公开(公告)号：US20230343068A1

公开(公告)日：2023-10-26

申请号：US17918080

申请日：2020-06-15

Applicant: Intel Corporation

Inventor： Anbang YAO ,  Yikai WANG ,  Ming LU ,  Shandong WANG ,  Feng CHEN

IPC: G06V10/764 ,  G06V10/32 ,  G06V10/44 ,  G06V10/774 ,  G06V10/82

CPC classification number: G06V10/764 ,  G06V10/32 ,  G06V10/454 ,  G06V10/774 ,  G06V10/82

Abstract: Techniques related to implementing and training image classification networks are discussed. Such techniques include applying shared convolutional layers to input images regardless of resolution and applying normalization selectively based on the input image resolution. Such techniques further include training using mixed image size parallel training and mixed image size ensemble distillation.

公开(公告)号：US20160321543A1

公开(公告)日：2016-11-03

申请号：US14779240

申请日：2014-12-11

Applicant: INTEL CORPORATION

Inventor： Feng CHEN ,  Yan HAO ,  Yi YANG ,  Xiaoming CHEN

IPC: G06N5/02 ,  G06F17/30 ,  G06N99/00

CPC classification number: G06N5/02 ,  G06F16/2465 ,  G06F16/90335 ,  G06F16/9535 ,  G06F21/00 ,  G06N20/00 ,  G06N20/20 ,  G06Q20/1235 ,  G06Q20/4016 ,  G06Q20/405

Abstract: A computing system includes technologies for providing trusted predictive analytics services. The computing system provides a common description language for predictive analytics services, and uses cryptographic techniques and digital rights management techniques to protect input data and/or portions of the predictive analytics services.

Abstract translation: 计算系统包括用于提供可信任预测分析服务的技术。 计算系统为预测分析服务提供通用描述语言，并使用加密技术和数字版权管理技术来保护输入数据和/或部分预测分析服务。

公开(公告)号：US20230410496A1

公开(公告)日：2023-12-21

申请号：US18252164

申请日：2020-12-23

Applicant: Intel Corporation

Inventor： Anbang YAO ,  Bo LIU ,  Ming LU ,  Feng CHEN ,  Yurong CHEN

IPC: G06V10/82

CPC classification number: G06V10/82

Abstract: Omni-scale convolution for convolutional neural networks is disclosed. An example of an apparatus includes one or more processors to process data, including processing for a convolutional neural network (CNN); and a memory to store data, including CNN data, wherein processing of input data by the CNN includes implementing omni-scale convolution in one or more convolutional layers of the CNN, implementation of the omni-scale convolution into a convolutional layer of the one or more convolutional layers including at least applying multiple dilation rates in a plurality of kernels of a kernel lattice of the convolutional layer, and applying a cyclic pattern for the multiple dilation rates in the plurality of kernels of the convolutional layer.