overparameterization

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Shiweiliuiiiiiii / In-Time-Over-Parameterization

[ICML 2021] "Do We Actually Need Dense Over-Parameterization? In-Time Over-Parameterization in Sparse Training" by Shiwei Liu, Lu Yin, Decebal Constantin Mocanu, Mykola Pechenizkiy

sparsity deep-learning generalization sparse-training over-parameterization overparameterization in-time-overparameterization dynamic-sparse-training in-time-over-parameterization

Updated Nov 11, 2023
Python

nplotko / double-descent-lr

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This project outlines 4 experiments to explore the effects of several settings on the bias-variance tradeoff curve

machine-learning gpu linear-regression regression double-descent overparameterization

Updated Sep 26, 2022
Jupyter Notebook

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