Low Precision RNNs: Quantizing RNNs Without Losing Accuracy

20 October 2017

Papers citing "Low Precision RNNs: Quantizing RNNs Without Losing Accuracy"

4 / 4 papers shown

Title
AutoQNN: An End-to-End Framework for Automatically Quantizing Neural Networks Cheng Gong Ye Lu Surong Dai Deng Qian Chenkun Du Tao Li MQ 27 0 0 07 Apr 2023
Training Integer-Only Deep Recurrent Neural Networks V. Nia Eyyub Sari Vanessa Courville M. Asgharian MQ 34 2 0 22 Dec 2022
iRNN: Integer-only Recurrent Neural Network Eyyub Sari Vanessa Courville V. Nia MQ 42 4 0 20 Sep 2021
Term Revealing: Furthering Quantization at Run Time on Quantized DNNs H. T. Kung Bradley McDanel S. Zhang MQ 6 9 0 13 Jul 2020