The Matching Principle: A Geometric Theory of Loss Functions for Nuisance-Robust Representation Learning

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Robustness, domain adaptation, photometric and occlusion invariance, compositional generalisation, temporal robustness, alignment safety, and classical anisotropic regularisation are usually treated as separate problems with separate method families. This paper argues that much of their shared st...