A survey on hyperdimensional computing aka vector symbolic architectures, part ii: Applications, cognitive models, and challenges
This is Part II of the two-part comprehensive survey devoted to a computing framework most
commonly known under the names Hyperdimensional Computing and Vector Symbolic …
commonly known under the names Hyperdimensional Computing and Vector Symbolic …
Memory-inspired spiking hyperdimensional network for robust online learning
Recently, brain-inspired computing models have shown great potential to outperform today's
deep learning solutions in terms of robustness and energy efficiency. Particularly, Spiking …
deep learning solutions in terms of robustness and energy efficiency. Particularly, Spiking …
Robust hyperdimensional computing against cyber attacks and hardware errors: A survey
Hyperdimensional Computing (HDC), also known as Vector Symbolic Architecture (VSA), is
an emerging AI algorithm inspired by the way the human brain functions. Compared with …
an emerging AI algorithm inspired by the way the human brain functions. Compared with …
Brain-inspired trustworthy hyperdimensional computing with efficient uncertainty quantification
Recent advancement in emerging brain-inspired computing has pointed out a promising
path to Machine Learning (ML) algorithms with high efficiency. Particularly, research in the …
path to Machine Learning (ML) algorithms with high efficiency. Particularly, research in the …
Lehdc: Learning-based hyperdimensional computing classifier
Thanks to the tiny storage and efficient execution, hyperdimensional Computing (HDC) is
emerging as a lightweight learning framework on resource-constrained hardware …
emerging as a lightweight learning framework on resource-constrained hardware …
Perfhd: Efficient vit architecture performance ranking using hyperdimensional computing
D Ma, P Zhao, X Jiao - … of the IEEE/CVF Conference on …, 2023 - openaccess.thecvf.com
Abstract Neural Architecture Search (NAS) aims at identifying the optimal network
architecture for a specific need in an automated manner, which serves as an alternative to …
architecture for a specific need in an automated manner, which serves as an alternative to …
L3e-hd: A framework enabling efficient ensemble in high-dimensional space for language tasks
Brain-inspired hyperdimensional computing (HDC) has been introduced as an alternative
computing paradigm to achieve efficient and robust learning. HDC simulates cognitive tasks …
computing paradigm to achieve efficient and robust learning. HDC simulates cognitive tasks …
Scalehd: Robust brain-inspired hyperdimensional computing via adapative scaling
Brain-inspired hyperdimensional computing (HDC) has demonstrated promising capability
in various cognition tasks such as robotics, bio-medical signal analysis, and natural …
in various cognition tasks such as robotics, bio-medical signal analysis, and natural …
Assessing robustness of hyperdimensional computing against errors in associative memory
Brain-inspired hyperdimensional computing (HDC) is an emerging computational paradigm
that has achieved success in various domains. HDC mimics brain cognition and lever-ages …
that has achieved success in various domains. HDC mimics brain cognition and lever-ages …
Dynamic MAC Protocol for Wireless Spectrum Sharing via Hyperdimensional Self-Learning
In wireless networks, dynamic spectrum access is the key to improving spectrum utilization
and increasing channel capacity. Since the channels in wireless networks are highly …
and increasing channel capacity. Since the channels in wireless networks are highly …