Hyperbolic Multimodal Continual Learning: A Closest-Admissible Solution

T1Covered by 1 source · first reported by arXiv at 25 Sept, 04:00 UTC

arXiv:2609.29329v1 Announce Type: cross Abstract: Existing continual-learning methods protect parameters, replayed examples, or Euclidean feature subspaces. When applied to hyperbolic multimodal models, they do not explicitly preserve the Lorentz geometry that jointly encodes within-modality…

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• T1Hyperbolic Multimodal Continual Learning: A Closest-Admissible SolutionarXiv25 Sept, 04:00