公开(公告)号：US20250077892A1

公开(公告)日：2025-03-06

申请号：US18239759

申请日：2023-08-30

Applicant: MEDIATEK INC.

Inventor： Chun-Wei Yang ,  Cheng-Sheng Chan ,  Min-Fong Horng ,  Jui-Yang Hsu ,  Sheng-Je Hung

IPC: G06N3/0985

Abstract: A neural network optimization method with a preview mechanism includes: in a preview stage, building an optimization space and obtaining multiple previewed results from the optimization space; generating an updating signal according to a reference value corresponding to the multiple previewed results, and processing the optimization space received in the preview stage according to the reference value; and in a view stage, receiving the optimization space and the updating signal, and processing the optimization space received in the view stage according to the updating signal to generate an optimization result.

公开(公告)号：US20250077838A1

公开(公告)日：2025-03-06

申请号：US18239753

申请日：2023-08-29

Applicant: MEDIATEK INC.

Inventor： Chia-Hsiang Liu ,  Cheng-Sheng Chan ,  Min-Fong Horng ,  Jui-Yang Hsu ,  Sheng-Je Hung ,  Hung-Jen Chen

IPC: G06N3/045

Abstract: A system for dynamically adjusting neural network efficiency of a dynamic neural network running on a device includes a detector and a signal generator. The detector is arranged to detect a change of a status of the device, to generate a trigger signal. The signal generator is arranged to generate a control signal according to the trigger signal, to dynamically adjust the neural network efficiency of the dynamic neural network.

公开(公告)号：US20250077839A1

公开(公告)日：2025-03-06

申请号：US18239764

申请日：2023-08-30

Applicant: MEDIATEK INC.

Inventor： Chia-Hsiang Liu ,  Cheng-Sheng Chan ,  Min-Fong Horng ,  Sheng-Je Hung ,  Hung-Jen Chen ,  Jui-Yang Hsu

IPC: G06N3/045 ,  G06N3/082

Abstract: A method for generating a dynamic neural network includes: utilizing a neural architecture search (NAS) method to obtain a searched result, wherein the searched result comprises a plurality of sub-networks; combining the plurality of sub-networks to generate a combined neural network; and fine-tuning the combined neural network to generate the dynamic neural network.

公开(公告)号：US20230064692A1

公开(公告)日：2023-03-02

申请号：US17846007

申请日：2022-06-22

Applicant: MediaTek Inc.

Inventor： Hao Yun Chen ,  Min-Hung Chen ,  Min-Fong Horng ,  Yu-Syuan Xu ,  Hsien-Kai Kuo ,  Yi-Min Tsai

IPC: G06N3/04 ,  G06N3/08 ,  G06N3/063 ,  G06N7/00

Abstract: According to a network space search method, an expanded search space is partitioned into multiple network spaces. Each network space includes a plurality of network architectures and is characterized by a first range of network depths and a second range of network widths. The performance of the network spaces is evaluated by sampling respective network architectures with respect to a multi-objective loss function. The evaluated performance is indicated as a probability associated with each network space. The method then identifies a subset of the network spaces that has the highest probabilities, and selects a target network space from the subset based on model complexity.