公开(公告)号：US12008318B2

公开(公告)日：2024-06-11

申请号：US17069263

申请日：2020-10-13

Applicant: META PLATFORMS, INC.

Inventor： Ying Zhang ,  Shengbo Guo

IPC: G06F40/237 ,  G06F40/10 ,  G06F40/56 ,  G06Q50/00 ,  G06V20/40 ,  H04N21/234

CPC classification number: G06F40/237 ,  G06F40/10 ,  G06F40/56 ,  G06Q50/01 ,  G06V20/47 ,  H04N21/23418

Abstract: Exemplary embodiments relate to the automatic generation of captions for visual media, including photos, photo albums, non-live video, and live video. The visual media may be analyzed to determine contextual information (such as location information, people and objects in the video, time, etc.). A system may integrate this information with information from the user's social network and a personalized language model built using public-facing language from the user. The personalized language model captures the user's way of speaking to make the generated captions more detailed and personalized. The language model may account for the context in which the video was generated. The captions maybe used to simplify and encourage content generation, and may also be used to index visual media, rank the media, and recommend the media to users likely to engage with the media.

公开(公告)号：US20240054384A1

公开(公告)日：2024-02-15

申请号：US16945679

申请日：2020-07-31

Applicant: Meta Platforms, Inc.

Inventor： Garret Ray Catron ,  Man Wang ,  Nadathur Rajagopalan Satish ,  Michael Anderson ,  Ying Zhang ,  Bertrand Allen Maher

IPC: G06N20/00 ,  G06F9/52 ,  G06F9/50

CPC classification number: G06N20/00 ,  G06F9/52 ,  G06F9/5061

Abstract: A machine learning model network is analyzed to identify types of operations and dependencies associated with different portions of the machine learning model network, including by classifying at least a portion of the types of operations as being memory bandwidth intensive or compute intensive. The machine learning model network is partitioned across a plurality of different machine learning accelerator hardware units based at least in part on the analysis. Parallelization and pipelining of an execution of the machine learning model network is allowed based on the partitioning.

公开(公告)号：US11372917B2

公开(公告)日：2022-06-28

申请号：US15855521

申请日：2017-12-27

Applicant: META PLATFORMS, INC.

Inventor： Ying Zhang ,  Yun Lei

IPC: G06F16/71 ,  G06N3/08 ,  G06Q50/00

Abstract: In one embodiment, a method includes receiving a video file. The video file includes a corresponding audio stream. The method further includes accessing the audio stream, and generating, based on the audio stream, a representative vector. The vector has a particular number of dimensions. The method further includes accessing a label-embedding space, which has the same particular number of dimensions, and includes a number of regions that each correspond to a respective label. The method further includes determining a region of the label-embedding space that corresponds to the vector, the determined region corresponding to a particular label. The method further includes associating the particular label with the video file.

公开(公告)号：US20230169388A1

公开(公告)日：2023-06-01

申请号：US16016321

申请日：2018-06-22

Applicant: Meta Platforms, Inc.

Inventor： Lin Huang ,  Ying Zhang

IPC: G06N99/00 ,  G06F17/28

CPC classification number: G06N99/005 ,  G06F17/28 ,  G06Q50/01

Abstract: Systems, methods, and non-transitory computer readable media can train a machine learning model for a first language to determine a classification for a content item in the first language. Machine translation can be performed to generate respective machine translations of a plurality of content items in a second language into the first language. Respective classifications for the plurality of content items in the second language can be determined based on the machine translations of the plurality of content items in the second language and the machine learning model for the first language. Training data in the second language can be automatically generated, where the training data in the second language includes the plurality of content items in the second language and the respective classifications.

公开(公告)号：US20250077977A1

公开(公告)日：2025-03-06

申请号：US18822593

申请日：2024-09-03

Applicant: Meta Platforms, Inc.

Inventor： Satyajeet Singh Ahuja ,  Zhaodong Wang ,  Mohammad Noormohammadpour ,  Yuhui Zhang ,  Thomas Fuller ,  Mengcheng Wang ,  Muhammet Mustafa Ozdal ,  Abhinav Triguna ,  Abishek Gopalan ,  Jian Yang ,  Xin Liu ,  Ying Zhang ,  Gregory Robbins Steinbrecher ,  James Williams ,  Steve Politis

IPC: G06N20/00

Abstract: Methods, systems, and storage media for running unified simulations on clusters. Exemplary implementations may include: receiving simulation parameters for a simulation of a cluster; generating synthesized workload events based the simulation parameters of the cluster; determining a memory latency associated with the cluster; determining a reliability and availability of resources in the cluster for a predetermined duration of time; simulating events for jobs in the cluster based on the reliability and availability of resources in the cluster, each job associated with one or more synthesized workload events; and outputting simulation results based on the synthesized workload, the memory latency, and the events.