-
1.
公开(公告)号:US20240232526A1
公开(公告)日:2024-07-11
申请号:US18610140
申请日:2024-03-19
Applicant: Amazon Technologies, Inc.
Inventor: Cedric Philippe Archambeau , Sanjiv Ranjan Das , Michele Donini , Michaela Hardt , Tyler Stephen Hill , Krishnaram Kenthapadi , Pedro L Larroy , Xinyu Liu , Keerthan Harish Vasist , Pinar Altin Yilmaz , Muhammad Bilal Zafar
CPC classification number: G06F40/20 , G06F16/2246 , G06N5/01
Abstract: A determination is made that an explanatory data set for a common set of predictions generated by a machine learning model for records containing text tokens is to be provided. Respective groups of related tokens are identified from the text attributes of the records, and record-level prediction influence scores are generated for the token groups. An aggregate prediction influence score is generated for at least some of the token groups from the record-level scores, and an explanatory data set based on the aggregate scores is presented.
-
2.
公开(公告)号:US11977836B1
公开(公告)日:2024-05-07
申请号:US17535945
申请日:2021-11-26
Applicant: Amazon Technologies, Inc.
Inventor: Cedric Philippe Archambeau , Sanjiv Ranjan Das , Michele Donini , Michaela Hardt , Tyler Stephen Hill , Krishnaram Kenthapadi , Pedro L Larroy , Xinyu Liu , Keerthan Harish Vasist , Pinar Altin Yilmaz , Muhammad Bilal Zafar
CPC classification number: G06F40/20 , G06F16/2246 , G06N5/01
Abstract: A determination is made that an explanatory data set for a common set of predictions generated by a machine learning model for records containing text tokens is to be provided. Respective groups of related tokens are identified from the text attributes of the records, and record-level prediction influence scores are generated for the token groups. An aggregate prediction influence score is generated for at least some of the token groups from the record-level scores, and an explanatory data set based on the aggregate scores is presented.
-
公开(公告)号:US12080056B1
公开(公告)日:2024-09-03
申请号:US17535909
申请日:2021-11-26
Applicant: Amazon Technologies, Inc.
Inventor: Ashish Rajendra Rathi , Michele Donini , Tyler Stephen Hill , Krishnaram Kenthapadi , Xinyu Liu , Pinar Altin Yilmaz , Muhammad Bilal Zafar
IPC: G06V10/70 , G06T7/10 , G06V10/764 , G06V10/77 , G06V20/50
CPC classification number: G06V10/87 , G06T7/10 , G06V10/764 , G06V10/768 , G06V10/7715 , G06V20/50
Abstract: Explanation jobs may be performed for computer vision tasks. A request to execute an explanation job for a computer vision machine learning model may be received. The execution job may be performed, including extracting different features from the image, determining the respective relative importance values of the different features on inferences generated by the computer vision machine learning model. The result of the explanation job, including the generated heat maps may be provided.
-
-