📑 arXiv 3d ago
SRMU: Relevance-Gated Updates for Streaming Hyperdimensional Memories
SRMU introduces relevance-gated updates for Vector Symbolic Architectures to prevent stale information in streaming sequential associative memories. Traditional additive updates reinforce old observations even when no new information arrives, causing failures in non-stationary environments; this work addresses imbalanced sampling and temporal dynamics in real-world incremental learning.