Systems and methods for data grafting to enhance model robustness
An example method includes detecting, by context analysis circuitry, occurrence of a triggering condition. The example method also includes scheduling, by context analysis circuitry and based on the occurrence of the triggering condition, retraining of a model. The example method also includes gener...
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| creator | Ketharaju, Rameshchandra Bhaskar Case, Tyler Hord, Matt Davis, Paul Venkataraman, Vinothkumar Kendapadi, Ananth Yang, Yang Angelina Yeri, Naveen Gururaja Verma, Ashutosh |
| description | An example method includes detecting, by context analysis circuitry, occurrence of a triggering condition. The example method also includes scheduling, by context analysis circuitry and based on the occurrence of the triggering condition, retraining of a model. The example method also includes generating, by data grafting circuitry and in response to scheduling the retraining of the model, a context-relevant training data set based on a target context vector. The example method also includes retraining, by model training circuitry, the model using the context-relevant training data set to mitigate deterioration of performance of the model. |
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| subjects | CALCULATING COMPUTING COUNTING ELECTRIC DIGITAL DATA PROCESSING PHYSICS |
| title | Systems and methods for data grafting to enhance model robustness |
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