Data and compute efficient equivariant convolutional networks
US12412085B2 · kind B2 · utility
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28Claims
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Key dates
| Filing date | Feb 8, 2021 |
| Grant date | Sep 9, 2025 |
| Priority date | — |
| Expiry date | Mar 8, 2044 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V10/82
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Certain aspects of the present disclosure provide a method of performing machine learning, comprising: generating a neural network model; and training the neural network model for a task with a first set of input data, wherein: the training uses a total loss function total including an equivariance loss component equivarnace according to total=task+αequivarnace, and α>0.
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