Back to results
US 12,762,479 B2Granted
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
Life of this patent
Estimating the term…
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 a first machine learning model trained using a first set of training data, wherein one or more training data items of the first set of training data reflect at least a first attribute of a respective media content item;
- executing one or more simulation tests using the first machine learning model to generate one or more simulation outputs comprising a performance of the first machine learning model trained using the first set of training data;
- obtaining a second set of training data to train a second machine learning model, wherein:
- (i) the second set of training data includes a number of training data items corresponding to a minimum training data set size based on the one or more simulation outputs and a size of the first set of training data, and (ii) the second set of training data comprises the one or more training data items of the first set of training data and one or more additional training data items reflecting one or more second attributes of the respective media content item, the one or more second attributes providing an increased level of granularity with respect to the respective media content item;
- and
- causing the second machine learning model to be trained using the second set of training data.
3 more elements
A system comprising:
- a memory;
- and
- a processing device coupled to the memory, the processing device configured to perform operations comprising:
- obtaining a first machine learning model trained using a first set of training data, wherein one or more training data items of the first set of training data reflect at least a first attribute of a respective media content;
- executing one or more simulation tests using the first machine learning model to generate one or more simulation outputs comprising a performance of the first machine learning model trained using the first set of training data;
- obtaining a second set of training data to train a second machine learning model, wherein:
- (i) the second set of training data includes a number of training data items corresponding to a minimum training data set size based on the one or more simulation outputs and a size of the first set of training data, and (ii) the second set of training data comprises the one or more training data items of the first set of training data and one or more additional training data items reflecting one or more second attributes of the respective media content item, the one or more second attributes providing an increased level of granularity with respect to the respective media content item;
- and
- causing the second machine learning model to be trained using the second set of training data.
6 more elements
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 a first machine learning model trained using a first set of training data, wherein one or more training data items of the first set of training data reflect at least a first attribute of a respective media content item;
- executing one or more simulation tests using the first machine learning model to generate one or more simulation outputs comprising a performance of the first machine learning model trained using the first set of training data;
- obtaining a second set of training data to train a second machine learning model, wherein:
- wherein:
- (i) the second set of training data includes a number of training data items corresponding to a minimum training data set size based on the one or more simulation outputs and a size of the first set of training data, and (ii) the second set of training data comprises the one or more training data items of the first set of training data and one or more additional training data items reflecting one or more second attributes of the respective media content item, the one or more second attributes providing an increased level of granularity with respect to the respective media content item;
- and
- causing the second machine learning model to be trained using the second set of training data.
4 more elements
Dependencies are inferred from the claim text.