Structured matrices, such as those derived from Kronecker products (KP),...
Sequence model based NLP applications can be large. Yet, many applicatio...
Matrix multiplications between asymmetric bit-width operands, especially...
Kronecker Products (KP) have been used to compress IoT RNN Applications ...
MobileNets family of computer vision neural networks have fueled tremend...
Recurrent Neural Networks (RNN) can be difficult to deploy on resource
c...
Recurrent neural networks can be large and compute-intensive, yet many
a...
Recurrent Neural Networks (RNN) can be large and compute-intensive, maki...
Recurrent neural networks (RNNs) have shown state of the art results for...
The Winograd or Cook-Toom class of algorithms help to reduce the overall...