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Found 4 papers, 1 papers with code
An Encoding Framework for Binarized Images using HyperDimensional Computing
A key aspect that determines the performance of HDC is the encoding of the input data to the hyperdimensional (HD) space.
The Trifecta: Three simple techniques for training deeper Forward-Forward networks
Local learning, which focuses on updating subsets of a model's parameters at a time, has emerged as a promising technique to address these issues.
Co-learning synaptic delays, weights and adaptation in spiking neural networks
Spiking neural networks (SNN) distinguish themselves from artificial neural networks (ANN) because of their inherent temporal processing and spike-based computations, enabling a power-efficient implementation in neuromorphic hardware.
Training a HyperDimensional Computing Classifier using a Threshold on its Confidence
Hyperdimensional computing (HDC) has become popular for light-weight and energy-efficient machine learning, suitable for wearable Internet-of-Things (IoT) devices and near-sensor or on-device processing.
