HanxunH/LDReg

[ICLR2024] LDReg: Local Dimensionality Regularized Self-Supervised Learning

21
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Experimental

This project helps machine learning researchers and practitioners improve the quality of self-supervised learning models. By analyzing the local intrinsic dimensionality of data representations, it allows for more effective training. You input your existing data representations and it helps generate more robust models for various tasks.

No commits in the last 6 months.

Use this if you are a machine learning researcher or engineer working with self-supervised learning and want to enhance the performance and generalization of your models.

Not ideal if you are looking for a plug-and-play solution for general data analysis or do not have a background in machine learning research.

Machine Learning Research Self-Supervised Learning Representation Learning Model Training Deep Learning
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 5 / 25
Maturity 16 / 25
Community 0 / 25

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12

Forks

Language

Python

License

MIT

Last pushed

Jul 05, 2024

Commits (30d)

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