overparameterization

Here are 4 public repositories matching this topic...

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

ben-meiring / rkhs-and-deep-learning

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An intuitive derivation of smoothing splines from variational calculus, demonstrating their relationship to reproducing kernel Hilbert spaces (RKHS) and regularized neural networks.

neural-network splines rkhs overparameterization reproducing-kernel-hilbert-space inductive-bias variational-calculus

Updated Jul 31, 2026
Python

CleyJosRM / high-dim-lr-adv-attacks

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A reproduction of the results from Ribeiro & Schön (2023) on adversarial attacks in overparameterized linear regression. Developed as an undergraduate research project funded by the PICME-CNPq Scientific Initiation program.

linear-regression adversarial-attacks robustness-analysis overparameterization

Updated Jul 31, 2026
Jupyter Notebook

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