公开(公告)号：US20240169186A1

公开(公告)日：2024-05-23

申请号：US18550203

申请日：2021-06-02

Applicant: Google LLC

Inventor： Xiaoxue Zang ,  Ying Xu ,  Srinivas Kumar Sunkara ,  Abhinav Kumar Rastogi ,  Jindong Chen ,  Blaise Aguera-Arcas ,  Chongyang Bai

IPC: G06N3/0455 ,  G06N3/084

CPC classification number: G06N3/0455 ,  G06N3/084

Abstract: Generally, the present disclosure is directed to user interface understanding. More particularly, the present disclosure relates to training and utilization of machine-learned models for user interface prediction and/or generation. A machine-learned interface Nprediction model can be pre-trained using a variety of pre-training tasks for eventual downstream task training and utilization (e.g., interface prediction, interface generation, etc.).

公开(公告)号：US20250117232A1

公开(公告)日：2025-04-10

申请号：US18988564

申请日：2024-12-19

Applicant: Google LLC

Inventor： Srinivas Kumar Sunkara ,  Xiaoxue Zang ,  Ying Xu ,  Lijuan Liu ,  Nevan Holt Wichers ,  Gabriel Overholt Schubiner ,  Jindong Chen ,  Abhinav Kumar Rastogi ,  Blaise Aguera-Arcas ,  Zecheng He

IPC: G06F9/451

Abstract: Generally, the present disclosure is directed to user interface understanding. More particularly, the present disclosure relates to training and utilization of machine-learned models for user interface prediction and/or generation. A machine-learned interface prediction model can be pre-trained using a variety of pre-training tasks for eventual downstream task training and utilization (e.g., interface prediction, interface generation, etc.).

公开(公告)号：US12197930B2

公开(公告)日：2025-01-14

申请号：US18466267

申请日：2023-09-13

Applicant: Google LLC

Inventor： Srinivas Kumar Sunkara ,  Xiaoxue Zang ,  Ying Xu ,  Lijuan Liu ,  Nevan Holt Wichers ,  Gabriel Overholt Schubiner ,  Jindong Chen ,  Abhinav Kumar Rastogi ,  Blaise Aguera-Arcas ,  Zecheng He

IPC: G06F9/44 ,  G06F9/451 ,  G06F18/2135 ,  G06F18/214 ,  G06N3/045 ,  G06N20/00

Abstract: Generally, the present disclosure is directed to user interface understanding. More particularly, the present disclosure relates to training and utilization of machine-learned models for user interface prediction and/or generation. A machine-learned interface prediction model can be pre-trained using a variety of pre-training tasks for eventual downstream task training and utilization (e.g., interface prediction, interface generation, etc.).

公开(公告)号：US20220382565A1

公开(公告)日：2022-12-01

申请号：US17335596

申请日：2021-06-01

Applicant: Google LLC

Inventor： Srinivas Kumar Sunkara ,  Xiaoxue Zang ,  Ying Xu ,  Lijuan Liu ,  Nevan Holt Wichers ,  Gabriel Overholt Schubiner ,  Jindong Chen ,  Abhinav Kumar Rastogi ,  Blaise Aguera-Arcas ,  Zecheng He

IPC: G06F9/451 ,  G06N20/00 ,  G06N3/04 ,  G06K9/62

Abstract: Generally, the present disclosure is directed to user interface understanding. More particularly, the present disclosure relates to training and utilization of machine-learned models for user interface prediction and/or generation. A machine-learned interface prediction model can be pre-trained using a variety of pre-training tasks for eventual downstream task training and utilization (e.g., interface prediction, interface generation, etc.).

公开(公告)号：US20240004677A1

公开(公告)日：2024-01-04

申请号：US18466267

申请日：2023-09-13

Applicant: Google LLC

Inventor： Srinivas Kumar Sunkara ,  Xiaoxue Zang ,  Ying Xu ,  Lijuan Liu ,  Nevan Holt Wichers ,  Gabriel Overholt Schubiner ,  Jindong Chen ,  Abhinav Kumar Rastogi ,  Blaise Aguera-Arcas ,  Zecheng He

IPC: G06F9/451 ,  G06N20/00 ,  G06F18/214 ,  G06F18/2135 ,  G06N3/045

CPC classification number: G06F9/451 ,  G06N20/00 ,  G06N3/045 ,  G06F18/21355 ,  G06F18/214

Abstract: Generally, the present disclosure is directed to user interface understanding. More particularly, the present disclosure relates to training and utilization of machine-learned models for user interface prediction and/or generation. A machine-learned interface prediction model can be pre-trained using a variety of pre-training tasks for eventual downstream task training and utilization (e.g., interface prediction, interface generation, etc.).

公开(公告)号：US11789753B2

公开(公告)日：2023-10-17

申请号：US17335596

申请日：2021-06-01

Applicant: Google LLC

Inventor： Srinivas Kumar Sunkara ,  Xiaoxue Zang ,  Ying Xu ,  Lijuan Liu ,  Nevan Holt Wichers ,  Gabriel Overholt Schubiner ,  Jindong Chen ,  Abhinav Kumar Rastogi ,  Blaise Aguera-Arcas ,  Zecheng He

IPC: G06F9/44 ,  G06F9/451 ,  G06N20/00 ,  G06F18/214 ,  G06F18/2135 ,  G06N3/045

CPC classification number: G06F9/451 ,  G06F18/214 ,  G06F18/21355 ,  G06N3/045 ,  G06N20/00

Abstract: Generally, the present disclosure is directed to user interface understanding. More particularly, the present disclosure relates to training and utilization of machine-learned models for user interface prediction and/or generation. A machine-learned interface prediction model can be pre-trained using a variety of pre-training tasks for eventual downstream task training and utilization (e.g., interface prediction, interface generation, etc.).

公开(公告)号：US20210352573A1

公开(公告)日：2021-11-11

申请号：US16952781

申请日：2020-11-19

Applicant: Google LLC

Inventor： Myra Nam ,  Brian Williammee ,  Xinruo Sun ,  Xuan Zheng ,  Austin Small ,  Ziyi Jin ,  Nathan Harold ,  Ying Xu

IPC: H04W48/16 ,  H04W36/30 ,  H04W24/02

Abstract: A network scan may be performed, and the best network may be selected in real time in the device after evaluating all available carriers whose network information is gathered by network scanning The network scan enables the device to fairly compare the connectivity of the available carrier services and can be used to improve the on-device network selection. The network scan may be further used in order to ensure the existence of a better carrier service before switching. Accordingly, this may reduce unnecessary poor switches to networks having lower quality connections and increase good switches to networks having better quality. The present disclosure provides for determining when to run network scan and how to use the scan results to make the cell network selection decision.