Nearest Neighbour Radial Basis Function Solvers for Deep Neural Networks

ICLR 2018 Benjamin J. MeyerBen HarwoodTom Drummond

We present a radial basis function solver for convolutional neural networks that can be directly applied to both distance metric learning and classification problems. Our method treats all training features from a deep neural network as radial basis function centres and computes loss by summing the influence of a feature's nearby centres in the embedding space... (read more)

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