The HSIC Bottleneck: Deep Learning without Back-Propagation

5 Aug 2019Wan-Duo Kurt MaJ. P. LewisW. Bastiaan Kleijn

We introduce the HSIC (Hilbert-Schmidt independence criterion) bottleneck for training deep neural networks. The HSIC bottleneck is an alternative to the conventional cross-entropy loss and backpropagation that has a number of distinct advantages... (read more)

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