Medical data poses a daunting challenge for AI algorithms: it exists in ...
Sparse coding refers to modeling a signal as sparse linear combinations ...
Mixup is a data augmentation technique that relies on training using ran...
In the Mixup training paradigm, a model is trained using convex combinat...
Over-parametrization is an important technique in training neural networ...
Hessian captures important properties of the deep neural network loss
la...
In the classical multi-party computation setting, multiple parties joint...
Learning-to-learn (using optimization algorithms to learn a new optimize...