GeoERM learns orthonormal task representations via Riemannian gradient descent with polar retraction, and reports accuracy gains over Euclidean multi-task baselines.
(2000), A model of inductive bias learning, Journal of artificial intelligence research\/ , 12, 149--198
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GeoERM: Geometry-Aware Multi-Task Representation Learning on Riemannian Manifolds
GeoERM learns orthonormal task representations via Riemannian gradient descent with polar retraction, and reports accuracy gains over Euclidean multi-task baselines.