Data augmentation refers to a set of techniques that modify existing data instances to create new, synthetic samples. These techniques involve applying a range of transformations such as rotation, ...
Georgia Tech researchers Vidya Muthukumar and Eva Dyer are leading a multi-institutional project to develop a theory for data augmentation, aiming to improve the generalization and fairness of AI ...
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