most citedSub-8-Bit Quantization Aware Training for 8-Bit Neural Network Accelerator with On-Device Speech Recognition

2 citations · 3 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2023★ 1 cited

Accelerator-Aware Training for Transducer-Based Speech Recognition

Suhaila M. Shakiah, Rupak Vignesh Swaminathan, Hieu Duy Nguyen +6

Machine learning model weights and activations are represented in full-precision during training. This leads to performance degradation in runtime when deployed on neural network a…

eess.AS2022★ 2 cited

Sub-8-Bit Quantization Aware Training for 8-Bit Neural Network Accelerator with On-Device Speech Recognition

Kai Zhen, Hieu Duy Nguyen, Raviteja Chinta +4

We present a novel sub-8-bit quantization-aware training (S8BQAT) scheme for 8-bit neural network accelerators. Our method is inspired from Lloyd-Max compression theory with practi…