Measuring and regularizing networks in function space

ICLR 2019 Ari S. BenjaminDavid RolnickKonrad Kording

To optimize a neural network one often thinks of optimizing its parameters, but it is ultimately a matter of optimizing the function that maps inputs to outputs. Since a change in the parameters might serve as a poor proxy for the change in the function, it is of some concern that primacy is given to parameters but that the correspondence has not been tested... (read more)

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