Hyperbolic losses at the loss layer alone train stably at 18M-sample scale, while the same geometry inside a trainable adapter is claimed to collapse training.
Nature Machine Intelligence5, 796–797 (2023) https://doi
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After the Euclidean Highway: Hyperbolic Expert AI as the Next Innovation
Hyperbolic losses at the loss layer alone train stably at 18M-sample scale, while the same geometry inside a trainable adapter is claimed to collapse training.