Augmenting learning using symmetry in a biologically-inspired domain

1 Oct 2019Shruti MishraAbbas AbdolmalekiArthur GuezPiotr TrochimDoina Precup

Invariances to translation, rotation and other spatial transformations are a hallmark of the laws of motion, and have widespread use in the natural sciences to reduce the dimensionality of systems of equations. In supervised learning, such as in image classification tasks, rotation, translation and scale invariances are used to augment training datasets... (read more)

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