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Zedong Tang

2 accepted papers

2024

Neural Gaussian Similarity Modeling for Differential Graph Structure Learning

AAAI 2024technical

Graph Structure Learning (GSL) has demonstrated considerable potential in the analysis of graph-unknown non-Euclidean data across a wide range of domains. However, constructing an end-to-end graph structure learning model poses a challenge due to the impediment of gradient flow caused by the nearest…

Cited by 3SourcePDFScholar
2021

SKFAC: Training Neural Networks With Faster Kronecker-Factored Approximate Curvature

CVPR 2021poster

The bottleneck of computation burden limits the widespread use of the 2nd order optimization algorithms for training deep neural networks. In this paper, we present a computationally efficient approximation for natural gradient descent, named Swift Kronecker-Factored Approximate Curvature (SKFAC), w…

Cited by 31PDFScholar