9 citations · 30 across the 26 of their papers we have counts for
4 papers · 1 filter
Biologically Plausible Learning on Neuromorphic Hardware Architectures
Christopher Wolters, Brady Taylor, Edward Hanson +3
With an ever-growing number of parameters defining increasingly complex networks, Deep Learning has led to several breakthroughs surpassing human performance. As a result, data mov…
Class-based Quantization for Neural Networks
Wenhao Sun, Grace Li Zhang, Huaxi Gu +2
In deep neural networks (DNNs), there are a huge number of weights and multiply-and-accumulate (MAC) operations. Accordingly, it is challenging to apply DNNs on resource-constraine…
SteppingNet: A Stepping Neural Network with Incremental Accuracy Enhancement
Wenhao Sun, Grace Li Zhang, Xunzhao Yin +4
Deep neural networks (DNNs) have successfully been applied in many fields in the past decades. However, the increasing number of multiply-and-accumulate (MAC) operations in DNNs pr…
CorrectNet: Robustness Enhancement of Analog In-Memory Computing for Neural Networks by Error Suppression and Compensation
Amro Eldebiky, Grace Li Zhang, Georg Boecherer +2
The last decade has witnessed the breakthrough of deep neural networks (DNNs) in many fields. With the increasing depth of DNNs, hundreds of millions of multiply-and-accumulate (MA…