DEBUG-HD uses a binarized MLP-hidden-layer projection as the HDC encoder and outperforms prior binary HDC methods by 27% on average at detecting input corruptions in TinyML, at hyper-dimensions of 300 to 400.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2024 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
DEBUG-HD: Debugging TinyML models on-device using Hyper-Dimensional computing
DEBUG-HD uses a binarized MLP-hidden-layer projection as the HDC encoder and outperforms prior binary HDC methods by 27% on average at detecting input corruptions in TinyML, at hyper-dimensions of 300 to 400.