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cs.LG2024
LDReg: Local Dimensionality Regularized Self-Supervised Learning
Hanxun Huang, Ricardo J. G. B. Campello, Sarah Monazam Erfani +3
Representations learned via self-supervised learning (SSL) can be susceptible to dimensional collapse, where the learned representation subspace is of extremely low dimensionality…
cs.LG2024
Dimensionality-Aware Outlier Detection: Theoretical and Experimental Analysis
Alastair Anderberg, James Bailey, Ricardo J. G. B. Campello +4
We present a nonparametric method for outlier detection that takes full account of local variations in intrinsic dimensionality within the dataset. Using the theory of Local Intrin…