3 citations · 5 across the 2 of their papers we have counts for
2 papers
cs.LG2022★ 2 cited
Error-aware Quantization through Noise Tempering
Zheng Wang, Juncheng B Li, Shuhui Qu +2
Quantization has become a predominant approach for model compression, enabling deployment of large models trained on GPUs onto smaller form-factor devices for inference. Quantizati…
cs.LG2022★ 3 cited
SQuAT: Sharpness- and Quantization-Aware Training for BERT
Zheng Wang, Juncheng B Li, Shuhui Qu +2
Quantization is an effective technique to reduce memory footprint, inference latency, and power consumption of deep learning models. However, existing quantization methods suffer f…