2 citations · 3 across the 2 of their papers we have counts for
4 papers
Learning to Skip Ineffectual Recurrent Computations in LSTMs
Arash Ardakani, Zhengyun Ji, Warren J. Gross
Long Short-Term Memory (LSTM) is a special class of recurrent neural network, which has shown remarkable successes in processing sequential data. The typical architecture of an LST…
Learning Recurrent Binary/Ternary Weights
Arash Ardakani, Zhengyun Ji, Sean C. Smithson +2
Recurrent neural networks (RNNs) have shown excellent performance in processing sequence data. However, they are both complex and memory intensive due to their recursive nature. Th…
Design and Implementation of a Polar Codes Blind Detection Scheme
Carlo Condo, Seyyed Ali Hashemi, Arash Ardakani +2
In blind detection, a set of candidates has to be decoded within a strict time constraint, to identify which transmissions are directed at the user equipment. Blind detection is re…
Multi-Mode Inference Engine for Convolutional Neural Networks
Arash Ardakani, Carlo Condo, Warren J. Gross
During the past few years, interest in convolutional neural networks (CNNs) has risen constantly, thanks to their excellent performance on a wide range of recognition and classific…