Addressing caveats of neural persistence with deep graph persistence
Neural Persistence is a prominent measure for quantifying neural network complexity,
proposed in the emerging field of topological data analysis in deep learning. In this work …
proposed in the emerging field of topological data analysis in deep learning. In this work …
Iterative Magnitude Pruning as a Renormalisation Group: A Study in The Context of The Lottery Ticket Hypothesis
AA Hassan - arxiv preprint arxiv:2308.03128, 2023 - arxiv.org
This thesis delves into the intricate world of Deep Neural Networks (DNNs), focusing on the
exciting concept of the Lottery Ticket Hypothesis (LTH). The LTH posits that within extensive …
exciting concept of the Lottery Ticket Hypothesis (LTH). The LTH posits that within extensive …
Finding Neural Network Lottery Tickets with Smallest Delta Pruning and Analysis
JM Gallagher - 2023 - search.proquest.com
Neural network pruning provides a promising pathway to create sparse subnetworks that
require substantially fewer computational resources to train and run but can still achieve …
require substantially fewer computational resources to train and run but can still achieve …