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Quantization Loss Re-Learning Method
The gate parameters had been quantized to 0, 0. 5, 1 three values, and on the Named Entity Recognition dataset, the F1 score of the model with the new quantization method on gate parameters decreased by only 0. 7% compared to the baseline model.
Deep Adaptive Network: An Efficient Deep Neural Network with Sparse Binary Connections
Deep neural networks are state-of-the-art models for understanding the content of images, video and raw input data.
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