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cs.LG2022★ 1 cited
Frozen Overparameterization: A Double Descent Perspective on Transfer Learning of Deep Neural Networks
Yehuda Dar, Lorenzo Luzi, Richard G. Baraniuk
We study the generalization behavior of transfer learning of deep neural networks (DNNs). We adopt the overparameterization perspective -- featuring interpolation of the training d…
cs.LG2022★ 3 cited
Can Neural Nets Learn the Same Model Twice? Investigating Reproducibility and Double Descent from the Decision Boundary Perspective
Gowthami Somepalli, Liam Fowl, Arpit Bansal +5
We discuss methods for visualizing neural network decision boundaries and decision regions. We use these visualizations to investigate issues related to reproducibility and general…