5 citations · 5 across the 2 of their papers we have counts for
2 papers
cs.LG2021★ 5 cited
Quantization-Guided Training for Compact TinyML Models
Sedigh Ghamari, Koray Ozcan, Thu Dinh +4
We propose a Quantization Guided Training (QGT) method to guide DNN training towards optimized low-bit-precision targets and reach extreme compression levels below 8-bit precision.…
cs.CV2020
Subtensor Quantization for Mobilenets
Thu Dinh, Andrey Melnikov, Vasilios Daskalopoulos +1
Quantization for deep neural networks (DNN) have enabled developers to deploy models with less memory and more efficient low-power inference. However, not all DNN designs are frien…