2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.CV2022
NasHD: Efficient ViT Architecture Performance Ranking using Hyperdimensional Computing
Dongning Ma, Pengfei Zhao, Xun Jiao
Neural Architecture Search (NAS) is an automated architecture engineering method for deep learning design automation, which serves as an alternative to the manual and error-prone p…
cs.NE2022
EnHDC: Ensemble Learning for Brain-Inspired Hyperdimensional Computing
Ruixuan Wang, Dongning Ma, Xun Jiao
Ensemble learning is a classical learning method utilizing a group of weak learners to form a strong learner, which aims to increase the accuracy of the model. Recently, brain-insp…
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…