activity
20172021
most citedBit Efficient Quantization for Deep Neural Networks

11 citations · 35 across the 11 of their papers we have counts for

collaborators
Showing 2020Show all

2 papers · 1 filter

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…

cs.LG2020★ 4 cited

Dynamically Throttleable Neural Networks (TNN)

Hengyue Liu, Samyak Parajuli, Jesse Hostetler +2

Conditional computation for Deep Neural Networks (DNNs) reduce overall computational load and improve model accuracy by running a subset of the network. In this work, we present a…