Deep Networks with Adaptive Nyström Approximation

29 Nov 2019Luc GiffonStéphane AyacheThierry ArtièresHachem Kadri

Recent work has focused on combining kernel methods and deep learning to exploit the best of the two approaches. Here, we introduce a new architecture of neural networks in which we replace the top dense layers of standard convolutional architectures with an approximation of a kernel function by relying on the Nystr{\"o}m approximation... (read more)

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