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Found 2 papers, 1 papers with code
Synthetic Image Data for Deep Learning
Finally, we found that in use cases that benefit from incremental training or model specialization, pretraining a base model on synthetic images provided a sizeable reduction in the training cost of transfer learning, allowing up to 90\% of the model training to be front-loaded.
Algebraic multigrid support vector machines
The support vector machine is a flexible optimization-based technique widely used for classification problems.
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