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- University of AberdeenGB11 papers
- Northwestern Polytechnical UniversityCN8 papers
- Xi'an Jiaotong UniversityCN7 papers
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- Universidade Estadual de Ponta GrossaBR5 papers
- Xi'an Technological UniversityCN5 papers
- Xi'an University of Science and TechnologyCN5 papers
- Chinese Academy of SciencesCN4 papers
- National Institute for Materials ScienceJP4 papers
- State Key Laboratory of Solidification Processing4 papers
- Tohoku UniversityJP4 papers
5 papers · 1 filter
Dynamic Decoupling of Placid Terminal Attractor-based Gradient Descent Algorithm
Jinwei Zhao, Marco Gori, Alessandro Betti +4
Gradient descent (GD) and stochastic gradient descent (SGD) have been widely used in a large number of application domains. Therefore, understanding the dynamics of GD and improvin…
A game method for improving the interpretability of convolution neural network
Jinwei Zhao, Qizhou Wang, Fuqiang Zhang +7
Real artificial intelligence always has been focused on by many machine learning researchers, especially in the area of deep learning. However deep neural network is hard to be und…
Structure fusion based on graph convolutional networks for semi-supervised classification
Guangfeng Lin, Jing Wang, Kaiyang Liao +2
Suffering from the multi-view data diversity and complexity for semi-supervised classification, most of existing graph convolutional networks focus on the networks architecture con…
How far from automatically interpreting deep learning
Jinwei Zhao, Qizhou Wang, Yufei Wang +2
In recent years, deep learning researchers have focused on how to find the interpretability behind deep learning models. However, today cognitive competence of human has not comple…
How to improve the interpretability of kernel learning
Jinwei Zhao, Qizhou Wang, Yufei Wang +3
In recent years, machine learning researchers have focused on methods to construct flexible and interpretable prediction models. However, an interpretability evaluation, a relation…