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cs.LG2022
Study of Manifold Geometry using Multiscale Non-Negative Kernel Graphs
Carlos Hurtado, Sarath Shekkizhar, Javier Ruiz-Hidalgo +1
Modern machine learning systems are increasingly trained on large amounts of data embedded in high-dimensional spaces. Often this is done without analyzing the structure of the dat…
cs.LG2022★ 4 cited
The Geometry of Self-supervised Learning Models and its Impact on Transfer Learning
Romain Cosentino, Sarath Shekkizhar, Mahdi Soltanolkotabi +2
Self-supervised learning (SSL) has emerged as a desirable paradigm in computer vision due to the inability of supervised models to learn representations that can generalize in doma…