公开(公告)号：US20230267764A1

公开(公告)日：2023-08-24

申请号：US17652026

申请日：2022-02-22

Applicant: ADOBE INC.

Inventor： Md Mehrab Tanjim ,  Ritwik Sinha ,  Moumita Sinha ,  David Thomas Arbour ,  Sridhar Mahadevan

IPC: G06V40/16

CPC classification number: G06V40/172

Abstract: Systems and methods for diversity auditing are described. The systems and methods include identifying a plurality of images; detecting a face in each of the plurality of images using a face detection network; classifying the face in each of the plurality of images based on a sensitive attribute using an image classification network; generating a distribution of the sensitive attribute in the plurality of images based on the classification; and computing a diversity score for the plurality of images based on the distribution.

公开(公告)号：US20240169258A1

公开(公告)日：2024-05-23

申请号：US18057883

申请日：2022-11-22

Applicant: Adobe Inc.

Inventor： Wei Zhang ,  David Thomas Arbour

IPC: G06N20/00

CPC classification number: G06N20/00

Abstract: In implementations of systems for time-series anomaly detection, a computing device implements an anomaly system to receive, via a network, time-series data describing continuously observed values separated by a period of time. The anomaly system computes updated estimated parameters of a predictive model for the time-series data by performing a rank one update on previously estimated parameters of the predictive model. An uncertainty interval for a future observed value is generated using the predictive model with the updated estimated parameters. The anomaly system determines that an observed value corresponding to the future observed value is outside of the uncertainty interval. An indication is generated that the observed value is an anomaly.

公开(公告)号：US12159482B2

公开(公告)日：2024-12-03

申请号：US17652026

申请日：2022-02-22

Applicant: ADOBE INC.

Inventor： Md Mehrab Tanjim ,  Ritwik Sinha ,  Moumita Sinha ,  David Thomas Arbour ,  Sridhar Mahadevan

IPC: G06V40/16

Abstract: Systems and methods for diversity auditing are described. The systems and methods include identifying a plurality of images; detecting a face in each of the plurality of images using a face detection network; classifying the face in each of the plurality of images based on a sensitive attribute using an image classification network; generating a distribution of the sensitive attribute in the plurality of images based on the classification; and computing a diversity score for the plurality of images based on the distribution.

公开(公告)号：US20240386133A1

公开(公告)日：2024-11-21

申请号：US18320084

申请日：2023-05-18

Applicant: Adobe Inc.

Inventor： Akash Vivek Maharaj ,  Tao Wang ,  Ritwik Sinha ,  Harleen Sahni ,  David Thomas Arbour

IPC: G06F21/62

Abstract: Online testing data governance techniques and systems are described. These techniques support incorporation of data governance as part of online testing through use of a testing governance system implemented as part of a testing system. These techniques are configured to address technical challenges specific to online testing involving design of the online test, runtime during which the online test is executed, and reporting of test results.

公开(公告)号：US20240143660A1

公开(公告)日：2024-05-02

申请号：US17978477

申请日：2022-11-01

Applicant: ADOBE INC.

Inventor： Vishwa Vinay ,  Manoj Kilaru ,  David Thomas Arbour

IPC: G06F16/2457

CPC classification number: G06F16/24578

Abstract: In various examples, an offline evaluation system obtains log data from a recommendation system and trains an imitation ranker using the log data. The imitation ranker generates a first result including a set of scores associated with document and rank pairs based on a query. The offline evaluation system may then determine a rank distribution indicating propensities associated with the document and rank pairs for a set of impressions which can be used to determine a value associated with the performance of the new recommendation system.