Concept training technique for machine learning
AssigneeNVIDIA Corporation
InventorsAndreea Bobu, Balakumar Sundaralingam, Christopher Jason Paxton, Maya Cakmak, Wei Yang, Yu-Wei Chao, Dieter Fox
Life of this patent
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Abstract
Apparatuses, systems, and techniques to train a machine learning model. In at least one embodiment, a first machine learning model is trained to infer a concept based on first information, training data is labeled using the first machine learning model, and a second machine learning model is trained to infer the concept using the labeled training data.
Claims20
A system, comprising:
- at least one processor;
- and
- at least one memory comprising instructions that, in response to execution by the at least one processor, cause the system to at least:
- train a first machine learning model to infer a concept based, at least in part, on first information obtained from a simulation of a virtual environment and input indicative of the concept;
- generate training data comprising second information generated by the simulation and labels generated using the first machine learning model;
- train a second machine learning model to infer the concept based, at least in part, on the generated training data;
- and
- obtain an inference using the second machine learning model.
A method, comprising:
- generating a simulation of a virtual environment;
- training a first machine learning model to infer a concept based, at least in part, on first information obtained from the simulation of the virtual environment and input demonstrative of the concept;
- generating training data comprising second information generated by the simulation and labeled using the first machine learning model;
- training a second machine learning model to infer the concept based, at least in part, on the generated training data;
- and
- obtaining an inference using the second machine learning model.
A non-transitory computer-readable medium comprising instructions that, when performed by at least one processor of a computing device, cause the computing device to at least:
- train a first machine learning model to infer a concept based, at least in part, on first information obtained from a simulation of the virtual environment and input demonstrative of the concept;
- generate training data comprising second information generated by the simulation and labels, applicable to the second information, generated using the first machine learning model;
- train a second machine learning model to infer the concept based, at least in part, on the generated training data;
- and
- obtain an inference using the second machine learning model.
Dependencies are inferred from the claim text.