In deep learning, fine-grained N:M sparsity reduces the data footprint a...
Recently, researchers proposed pruning deep neural network weights (DNNs...
Background: Recently, an extensive amount of research has been focused o...
Machine-learning (ML) hardware and software system demand is burgeoning....
Large-batch SGD is important for scaling training of deep neural network...
Quantized Neural Networks (QNNs) are often used to improve network effic...
Neural networks are commonly used as models for classification for a wid...
Background: Deep learning models are typically trained using stochastic
...
Mastering a video game requires skill, tactics and strategy. While these...
Convolutional networks have marked their place over the last few years a...
We introduce a method to train Quantized Neural Networks (QNNs) --- neur...
We introduce a method to train Binarized Neural Networks (BNNs) - neural...