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• W3136990171 abstract "Conventional stochastic rounding (CSR) is widely employed in the training of neural networks (NNs), showing promising training results even in low-precision computations. We introduce an improved stochastic rounding method, that is simple and efficient. The proposed method succeeds in training NNs with 16-bit fixed-point numbers and provides faster convergence and higher classification accuracy than both CSR and deterministic rounding-to-the-nearest method." @default.
• W3136990171 created "2021-03-29" @default.
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• W3136990171 date "2021-03-24" @default.
• W3136990171 modified "2023-09-23" @default.
• W3136990171 title "A Simple and Efficient Stochastic Rounding Method for Training Neural Networks in Low Precision." @default.
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• W3136990171 hasPublicationYear "2021" @default.
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