82 citations · 87 across the 4 of their papers we have counts for
4 papers
Intelligent gradient amplification for deep neural networks
Sunitha Basodi, Krishna Pusuluri, Xueli Xiao +1
Deep learning models offer superior performance compared to other machine learning techniques for a variety of tasks and domains, but pose their own challenges. In particular, deep…
PK-GCN: Prior Knowledge Assisted Image Classification using Graph Convolution Networks
Xueli Xiao, Chunyan Ji, Thosini Bamunu Mudiyanselage +1
Deep learning has gained great success in various classification tasks. Typically, deep learning models learn underlying features directly from data, and no underlying relationship…
Deep Neural Networks with Short Circuits for Improved Gradient Learning
Ming Yan, Xueli Xiao, Joey Tianyi Zhou +1
Deep neural networks have achieved great success both in computer vision and natural language processing tasks. However, mostly state-of-art methods highly rely on external trainin…
Efficient Hyperparameter Optimization in Deep Learning Using a Variable Length Genetic Algorithm
Xueli Xiao, Ming Yan, Sunitha Basodi +2
Convolutional Neural Networks (CNN) have gained great success in many artificial intelligence tasks. However, finding a good set of hyperparameters for a CNN remains a challenging…