SVD-Softmax: Fast Softmax Approximation on Large Vocabulary Neural Networks

NeurIPS 2017 Kyuhong ShimMinjae LeeIksoo ChoiYoonho BooWonyong Sung

We propose a fast approximation method of a softmax function with a very large vocabulary using singular value decomposition (SVD). SVD-softmax targets fast and accurate probability estimation of the topmost probable words during inference of neural network language models... (read more)

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