This work targets the commonly used FPGA (field-programmable gate array)...
This work proposes a novel Deep Neural Network (DNN) quantization framew...
Various pruning approaches have been proposed to reduce the footprint
re...
Deep Neural Networks (DNNs) have achieved extraordinary performance in
v...
With the tremendous success of deep learning, there exists imminent need...
We study the problem of learning latent feature models (LFMs) for tensor...