1 citations · 1 across the 4 of their papers we have counts for
4 papers
Randomly Initialized Subnetworks with Iterative Weight Recycling
Matt Gorbett, Darrell Whitley
The Multi-Prize Lottery Ticket Hypothesis posits that randomly initialized neural networks contain several subnetworks that achieve comparable accuracy to fully trained models of t…
Sparse Mutation Decompositions: Fine Tuning Deep Neural Networks with Subspace Evolution
Tim Whitaker, Darrell Whitley
Neuroevolution is a promising area of research that combines evolutionary algorithms with neural networks. A popular subclass of neuroevolutionary methods, called evolution strateg…
Interpretable Diversity Analysis: Visualizing Feature Representations In Low-Cost Ensembles
Tim Whitaker, Darrell Whitley
Diversity is an important consideration in the construction of robust neural network ensembles. A collection of well trained models will generalize better if they are diverse in th…
Synaptic Stripping: How Pruning Can Bring Dead Neurons Back To Life
Tim Whitaker, Darrell Whitley
Rectified Linear Units (ReLU) are the default choice for activation functions in deep neural networks. While they demonstrate excellent empirical performance, ReLU activations can…