Abstract: In this paper, we propose a biologically plausible computational working memory (WM) model implemented using a spiking neuron model representing a predictable WM mechanism in a single neuron ...
Abstract: With increasing sizes of DNN (Deep Neural Network) models making them exceed the memory of a single device (GPU), model parallelism-based training has become paramount, splitting a model ...
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