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US 2025/0061323 A1Published application
Active learning with annotation scores
AssigneeNVIDIA Corporation
InventorsVishwesh Nath, Daguang Xu, Bin Liu, Yufan He, Sachidanand Alle, Pengcheng Ma, Raghav Mani, Marc Thomas Edgar, Andrew Feng
Life of this patent
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Abstract
Apparatuses, systems, and techniques to perform active learning. In at least one embodiment, one or more neural networks are trained using training data selected for manual relabeling based, at least in part, on an amount by which the training data is mis-labeled
Claims20
A processor comprising:
- one or more circuits to cause one or more mislabeled neural network training data to be selected to be relabeled based, at least in part, on an amount by which the one or more mislabeled neural network training data are mislabeled.
A method comprising:
- causing one or more mislabeled neural network training data to be selected to be relabeled based, at least in part, on an amount by which the one or more mislabeled neural network training data are mislabeled.
A system comprising:
- one or more processors to cause one or more mislabeled neural network training data to be selected to be relabeled based, at least in part, on an amount by which the one or more mislabeled neural network training data are mislabeled.
Dependencies are inferred from the claim text.