3 citations · 3 across the 2 of their papers we have counts for
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cs.LG2024
Stochastic Subnetwork Annealing: A Regularization Technique for Fine Tuning Pruned Subnetworks
Tim Whitaker, Darrell Whitley
Pruning methods have recently grown in popularity as an effective way to reduce the size and computational complexity of deep neural networks. Large numbers of parameters can be re…
cs.LG2023
Neural Subnetwork Ensembles
Tim Whitaker
Neural network ensembles have been effectively used to improve generalization by combining the predictions of multiple independently trained models. However, the growing scale and…
cs.LG2022★ 3 cited
Prune and Tune Ensembles: Low-Cost Ensemble Learning With Sparse Independent Subnetworks
Tim Whitaker, Darrell Whitley
Ensemble Learning is an effective method for improving generalization in machine learning. However, as state-of-the-art neural networks grow larger, the computational cost associat…