research
∙
12/05/2022
QFT: Post-training quantization via fast joint finetuning of all degrees of freedom
The post-training quantization (PTQ) challenge of bringing quantized neu...
share
research
∙
07/05/2021
Tiled Squeeze-and-Excite: Channel Attention With Local Spatial Context
In this paper we investigate the amount of spatial context required for ...
research
∙
12/15/2020
Exploring Neural Networks Quantization via Layer-Wise Quantization Analysis
Quantization is an essential step in the efficient deployment of deep le...
research
∙
06/07/2019
Fighting Quantization Bias With Bias
Low-precision representation of deep neural networks (DNNs) is critical ...
research
∙
02/05/2019
