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HEAL: Brain-inspired Hyperdimensional Efficient Active Learning
Feb. 20, 2024, 5:41 a.m. | Yang Ni, Zhuowen Zou, Wenjun Huang, Hanning Chen, William Youngwoo Chung, Samuel Cho, Ranganath Krishnan, Pietro Mercati, Mohsen Imani
cs.LG updates on arXiv.org arxiv.org
Abstract: Drawing inspiration from the outstanding learning capability of our human brains, Hyperdimensional Computing (HDC) emerges as a novel computing paradigm, and it leverages high-dimensional vector presentation and operations for brain-like lightweight Machine Learning (ML). Practical deployments of HDC have significantly enhanced the learning efficiency compared to current deep ML methods on a broad spectrum of applications. However, boosting the data efficiency of HDC classifiers in supervised learning remains an open question. In this paper, we …
abstract active learning arxiv brain brain-inspired brains capability computing cs.lg current deployments efficiency human inspiration machine machine learning novel operations paradigm practical presentation type vector
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