research
∙
04/16/2021
Accelerating Sparse Deep Neural Networks
As neural network model sizes have dramatically increased, so has the in...
share
research
∙
06/12/2018
Exploration of Low Numeric Precision Deep Learning Inference Using Intel FPGAs
CNNs have been shown to maintain reasonable classification accuracy when...
research
∙
03/01/2018
WRPN & Apprentice: Methods for Training and Inference using Low-Precision Numerics
Today's high performance deep learning architectures involve large model...
research
∙
11/15/2017
Apprentice: Using Knowledge Distillation Techniques To Improve Low-Precision Network Accuracy
Deep learning networks have achieved state-of-the-art accuracies on comp...
research
∙
10/20/2017
Low Precision RNNs: Quantizing RNNs Without Losing Accuracy
Similar to convolution neural networks, recurrent neural networks (RNNs)...
research
∙
09/04/2017
WRPN: Wide Reduced-Precision Networks
For computer vision applications, prior works have shown the efficacy of...
research
∙
04/10/2017