3 papers
cs.LG2026
Perforated Neural Networks for Keyword Spotting
Vishy Gopal, Aris Ilias Goutis, Ralph Crewe +2
Edge machine learning presents a unique set of constraints not encountered in cloud-scale model deployment: strict memory budgets, limited compute, and non-negotiable accuracy thre…
cs.LG2025
Exploring the Performance of Perforated Backpropagation through Further Experiments
Rorry Brenner, Evan Davis, Rushi Chaudhari +5
Perforated Backpropagation is a neural network optimization technique based on modern understanding of the computational importance of dendrites within biological neurons. This pap…
cs.NE2025
Perforated Backpropagation: A Neuroscience Inspired Extension to Artificial Neural Networks
Rorry Brenner, Laurent Itti
The neurons of artificial neural networks were originally invented when much less was known about biological neurons than is known today. Our work explores a modification to the co…