Nvidia patents method to train AI models using incomplete data
Nvidia describes a way to teach computer programs using data that is missing some answers. Instead of needing a complete set of correct answers for every example, the system uses only the available parts to adjust the program's settings.
In the filing’s own words
A method, computer readable medium, and system are disclosed for training a neural network model. The method includes the step of selecting an input vector from a set of training data that includes input vectors and sparse target vectors, where each sparse target vector includes target data corresponding to a subset of samples within an output vector of the neural network model. The method also includes the steps of processing the input vector by the neural network model to produce output data for the samples within the output vector and adjusting parameter values of the neural network model to reduce differences between the output vector and the sparse target vector for the subset of the samples.
What exactly they claim (claim 1)
1. A computer-implemented method for training a neural network model, comprising: selecting an input vector from a set of training data that includes input vectors and sparse target vectors, wherein each sparse target vector includes target data corresponding to a subset of samples within an output vector of the neural network model; processing the input vector by the neural network model to produce output data for the samples within the output vector; and adjusting parameter values of the neural network model to reduce differences between the output vector and the sparse target vector for the subset of the samples.
Facts
- Company
- Nvidia (NVIDIA Corporation)
- Official title
- SYSTEMS AND METHODS FOR TRAINING NEURAL NETWORKS WITH SPARSE DATA
- Publication number
- US20260268137A1
- Application number
- 19659789
- Filed
- Apr 27, 2026
- Published
- Sep 10, 2026
- Inventors
- 4
- Claims
- 20
Classified under
G06N 3/08 Physics & computingG06N 3/084 Physics & computingG06N 5/04 Physics & computingMore from Nvidia in AI & software
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Summaries are simplified from the filing’s own abstract and first claim. A patent filing is not a product announcement.
Patent data and drawings: U.S. Patent and Trademark Office (USPTO). Nebula is not affiliated with or endorsed by the USPTO.