28 citations · 38 across the 18 of their papers we have counts for
Showing 2020Show all
3 papers · 1 filter
cs.LG2020★ 2 cited
Real-time Multi-Task Diffractive Deep Neural Networks via Hardware-Software Co-design
Yingjie Li, Ruiyang Chen, Berardi Sensale Rodriguez +2
Deep neural networks (DNNs) have substantial computational requirements, which greatly limit their performance in resource-constrained environments. Recently, there are increasing…
cs.ET2020
Artificial Intelligence Accelerators based on Graphene Optoelectronic Devices
Weilu Gao, Cunxi Yu, Ruiyang Chen
Optical and optoelectronic approaches of performing matrix-vector multiplication (MVM) operations have shown the great promise of accelerating machine learning (ML) algorithms with…
cs.LG2020★ 1 cited
Contrastive Weight Regularization for Large Minibatch SGD
Qiwei Yuan, Weizhe Hua, Yi Zhou +1
The minibatch stochastic gradient descent method (SGD) is widely applied in deep learning due to its efficiency and scalability that enable training deep networks with a large volu…