most citedAutomated Architecture Search for Brain-inspired Hyperdimensional Computing

2 citations · 2 across the 4 of their papers we have counts for

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cs.LG2022

PyGFI: Analyzing and Enhancing Robustness of Graph Neural Networks Against Hardware Errors

Ruixuan Wang, Fred Lin, Daniel Moore +2

Graph neural networks (GNNs) have recently emerged as a promising learning paradigm in learning graph-structured data and have demonstrated wide success across various domains such…

cs.LG2022★ 2 cited

Automated Architecture Search for Brain-inspired Hyperdimensional Computing

Junhuan Yang, Yi Sheng, Sizhe Zhang +6

This paper represents the first effort to explore an automated architecture search for hyperdimensional computing (HDC), a type of brain-inspired neural network. Currently, HDC des…