14 citations · 24 across the 3 of their papers we have counts for
3 papers
cs.LG2019★ 14 cited
Layer-wise Adaptive Gradient Sparsification for Distributed Deep Learning with Convergence Guarantees
Shaohuai Shi, Zhenheng Tang, Qiang Wang +2
To reduce the long training time of large deep neural network (DNN) models, distributed synchronous stochastic gradient descent (S-SGD) is commonly used on a cluster of workers. Ho…
cs.DC2019★ 9 cited
A Distributed Synchronous SGD Algorithm with Global Top- Sparsification for Low Bandwidth Networks
Shaohuai Shi, Qiang Wang, Kaiyong Zhao +4
Distributed synchronous stochastic gradient descent (S-SGD) has been widely used in training large-scale deep neural networks (DNNs), but it typically requires very high communicat…
cs.CV2016★ 1 cited
Weakly supervised object detection using pseudo-strong labels
Ke Yang, Dongsheng Li, Yong Dou +2
Object detection is an import task of computer vision.A variety of methods have been proposed,but methods using the weak labels still do not have a satisfactory result.In this pape…