Parameter-Efficient Temporal Domain Generalization
The paper introduces Low-rank Time-varying Core (LoTiC), a parameter-efficient method for Temporal Domain Generalization (TDG). It addresses the high cost of existing methods by decomposing temporal updates into shared low-rank bases and a compact core. This allows the model to learn dynamics in a small space, achieving superior generalization while maintaining efficiency on large models.