Deep Learning with Sets and Point Clouds

14 Nov 2016Siamak RavanbakhshJeff SchneiderBarnabas Poczos

We introduce a simple permutation equivariant layer for deep learning with set structure.This type of layer, obtained by parameter-sharing, has a simple implementation and linear-time complexity in the size of each set. We use deep permutation-invariant networks to perform point-could classification and MNIST-digit summation, where in both cases the output is invariant to permutations of the input... (read more)

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