6 citations · 19 across the 27 of their papers we have counts for
4 papers · 1 filter
PSO-PS: Parameter Synchronization with Particle Swarm Optimization for Distributed Training of Deep Neural Networks
Qing Ye, Yuxuan Han, Yanan sun +1
Parameter updating is an important stage in parallelism-based distributed deep learning. Synchronous methods are widely used in distributed training the Deep Neural Networks (DNNs)…
Evolving Deep Convolutional Neural Networks for Hyperspectral Image Denoising
Yuqiao Liu, Yanan Sun, Bing Xue +1
Hyperspectral images (HSIs) are susceptible to various noise factors leading to the loss of information, and the noise restricts the subsequent HSIs object detection and classifica…
DBS: Dynamic Batch Size For Distributed Deep Neural Network Training
Qing Ye, Yuhao Zhou, Mingjia Shi +2
Synchronous strategies with data parallelism, such as the Synchronous StochasticGradient Descent (S-SGD) and the model averaging methods, are widely utilizedin distributed training…
ArcText: A Unified Text Approach to Describing Convolutional Neural Network Architectures
Yanan Sun, Ziyao Ren, Gary G. Yen +3
The superiority of Convolutional Neural Networks (CNNs) largely relies on their architectures that are often manually crafted with extensive human expertise. Unfortunately, such ki…