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Dynamic Tensor Decomposition via Neural Diffusion-Reaction Processes
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Tensor decomposition is an important tool for multiway data analysis.
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LearningFrequencyDomainApproximationfor BinaryNeuralNetworks
Neural Information Processing Systems
Since the gradient ofthe conventional sign function is almost zero everywhere which cannot be used for back-propagation, several attempts have been proposed to alleviate the optimization difficulty by using approximate gradient.
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