Learning Explicit Deep Representations from Deep Kernel Networks

30 Apr 2018Mingyuan JiuHichem Sahbi

Deep kernel learning aims at designing nonlinear combinations of multiple standard elementary kernels by training deep networks. This scheme has proven to be effective, but intractable when handling large-scale datasets especially when the depth of the trained networks increases; indeed, the complexity of evaluating these networks scales quadratically w.r.t... (read more)

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