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Found 3 papers, 1 papers with code
Training Integer-Only Deep Recurrent Neural Networks
Recurrent neural networks (RNN) are the backbone of many text and speech applications.
DenseShift: Towards Accurate and Efficient Low-Bit Power-of-Two Quantization
We further propose a sign-scale decomposition design to enhance training efficiency and a low-variance random initialization strategy to improve the model's transfer learning performance.
iRNN: Integer-only Recurrent Neural Network
Deploying RNNs that include layer normalization and attention on integer-only arithmetic is still an open problem.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
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