System and methods for machine learning training data selection
AssigneeGoogle Inc.
InventorsChetan Pitambar Bhole, Tanmay Khirwadkar, Sourabh Prakash Bansod, Sanjay Mangla, Deepak Ramamurthi Sivaramapuram Chandrasekaran
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Abstract
Simulation data associated with a simulation test performed with respect to a first set of training data is obtained. Responsive to a determination that the obtained simulation data satisfies one or more criteria, a second set of training data is obtained, where a size of the second set of training data meets or exceeds a size of the first set of training data. A machine learning model is trained using the second set of training data.
Claims20
A method comprising:
- obtaining simulation data associated with a simulation test performed with respect to a first set of training data;
- responsive to determining that the obtained simulation data satisfies one or more criteria, obtaining a second set of training data, wherein a size of the second set of training data meets or exceeds a size of the first set of training data;
- and
- causing a machine learning model to be trained using the second set of training data.
A system comprising:
- a memory;
- and
- a processing device coupled to the memory, the processing device to perform operations comprising:
- obtaining simulation data associated with a simulation test performed with respect to a first set of training data;
- responsive to determining that the obtained simulation data satisfies one or more criteria, obtaining a second set of training data, wherein a size of the second set of training data meets or exceeds a size of the first set of training data;
- and
- causing a machine learning model to be trained using the second set of training data.
A non-transitory computer readable storage medium comprising instructions that, when executed by a processing device, cause the processing device to perform operations comprising:
- obtaining simulation data associated with a simulation test performed with respect to a first set of training data;
- responsive to determining that the obtained simulation data satisfies one or more criteria, obtaining a second set of training data, wherein a size of the second set of training data meets or exceeds a size of the first set of training data;
- and
- causing a machine learning model to be trained using the second set of training data.
Dependencies are inferred from the claim text.