StructAlign uses simplex ETF geometry and cross-modal relation-preserving losses to mitigate intra- and cross-modal feature drift in continual text-to-video retrieval.
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MoRAM frames continual learning as incremental addition of rank-1 adapters viewed as self-activating key-value associative memory units in a mixture-of-experts setup.
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StructAlign: Structured Cross-Modal Alignment for Continual Text-to-Video Retrieval
StructAlign uses simplex ETF geometry and cross-modal relation-preserving losses to mitigate intra- and cross-modal feature drift in continual text-to-video retrieval.
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Little by Little: Continual Learning via Incremental Mixture of Rank-1 Associative Memory Experts
MoRAM frames continual learning as incremental addition of rank-1 adapters viewed as self-activating key-value associative memory units in a mixture-of-experts setup.