HanxunH/LDReg
[ICLR2024] LDReg: Local Dimensionality Regularized Self-Supervised Learning
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.
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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.
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12
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Language
Python
License
MIT
Category
Last pushed
Jul 05, 2024
Commits (30d)
0
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