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1.发明公开公开(公告)号：US20240273389A1
公开(公告)日：2024-08-15
申请号：US18645257
申请日：2024-04-24
Applicant: Amazon Technologies, Inc.
Inventor： Shikhar Gupta , Shriram Venkataramana , Sri Kaushik Pavani , Sunny Dasgupta
CPC classification number: G06N5/04 , G06F16/285 , G06N20/00
Abstract: An interactive interpretation session with respect to a first version of a machine learning model is initiated. In the session, indications of factors contributing to a prediction decision are provided, as well indications of candidate model enhancement actions. In response to received input, an enhancement action is implemented to obtain a second version of the model. The second version of the model is stored.
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Patent Agency Ranking
公开(公告)号：US11537506B1
公开(公告)日：2022-12-27
申请号：US16172637
申请日：2018-10-26
Applicant: Amazon Technologies, Inc.
Inventor： Sunny Dasgupta , Sri Kaushik Pavani , Shriram Venkataramana , Rajul Mittal
Abstract: Computer systems and associated methods are disclosed to implement a model development environment (MDE) that allows a team of users to perform iterative model experiments to develop machine learning (ML) media models. In embodiments, the MDE implements a media data management interface that allows users to annotate and manage training data for models. In embodiments, the MDE implements a model experimentation interface that allows users to configure and run model experiments, which include a training run and a test run of a model. In embodiments, the MDE implements a model diagnosis interface that displays the model's performance metrics and allows users to visually inspect media samples that were used during the model experiment to determine corrective actions to improve model performance for later iterations of experiments. In embodiments, the MDE allows different types of users to collaborate on a series of model experiments to build an optimal media model.
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公开(公告)号：US10719301B1
公开(公告)日：2020-07-21
申请号：US16172611
申请日：2018-10-26
Applicant: Amazon Technologies, Inc.
Inventor： Sunny Dasgupta , Sri Kaushik Pavani , Shriram Venkataramana , Sabya Sachi , Himanshu Prafulla Shringarpure , Divya Varshney , FNU Najih , Suryansh Purwar , Niyaz Puzhikkunnath , Mathew Philip , Shubhangam Agrawal
Abstract: Computer systems and associated methods are disclosed to implement a model development environment (MDE) that allows a team of users to perform iterative model experiments to develop machine learning (ML) media models. In embodiments, the MDE implements a media data management interface that allows users to annotate and manage training data for models. In embodiments, the MDE implements a model experimentation interface that allows users to configure and run model experiments, which include a training run and a test run of a model. In embodiments, the MDE implements a model diagnosis interface that displays the model's performance metrics and allows users to visually inspect media samples that were used during the model experiment to determine corrective actions to improve model performance for later iterations of experiments. In embodiments, the MDE allows different types of users to collaborate on a series of model experiments to build an optimal media model.
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4.发明授权公开(公告)号：US11995573B2
公开(公告)日：2024-05-28
申请号：US18305278
申请日：2023-04-21
Applicant: Amazon Technologies, Inc.
Inventor： Shikhar Gupta , Shriram Venkataramana , Sri Kaushik Pavani , Sunny Dasgupta
CPC classification number: G06N5/04 , G06F16/285 , G06N20/00
Abstract: An interactive interpretation session with respect to a first version of a machine learning model is initiated. In the session, indications of factors contributing to a prediction decision are provided, as well indications of candidate model enhancement actions. In response to received input, an enhancement action is implemented to obtain a second version of the model. The second version of the model is stored.
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5.发明公开公开(公告)号：US20230252325A1
公开(公告)日：2023-08-10
申请号：US18305278
申请日：2023-04-21
Applicant: Amazon Technologies, Inc.
Inventor： Shikhar Gupta , Shriram Venkataramana , Sri Kaushik Pavani , Sunny Dasgupta
CPC classification number: G06N5/04 , G06F16/285 , G06N20/00
Abstract: An interactive interpretation session with respect to a first version of a machine learning model is initiated. In the session, indications of factors contributing to a prediction decision are provided, as well indications of candidate model enhancement actions. In response to received input, an enhancement action is implemented to obtain a second version of the model. The second version of the model is stored.
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6.发明授权公开(公告)号：US11669753B1
公开(公告)日：2023-06-06
申请号：US16742746
申请日：2020-01-14
Applicant: Amazon Technologies, Inc.
Inventor： Shikhar Gupta , Shriram Venkataramana , Sri Kaushik Pavani , Sunny Dasgupta
CPC classification number: G06N5/04 , G06F16/285 , G06N20/00
Abstract: An interactive interpretation session with respect to a first version of a machine learning model is initiated. In the session, indications of factors contributing to a prediction decision are provided, as well indications of candidate model enhancement actions. In response to received input, an enhancement action is implemented to obtain a second version of the model. The second version of the model is stored.
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