Logarithmic Memory Networks are a new hierarchical-memory architecture claiming O(log n) attention, but the complexity math is internally inconsistent and the empirical evidence is a single small run.
Neural memory architectures for sequential decision-making,
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Logarithmic Memory Networks (LMNs): Efficient Long-Range Sequence Modeling for Resource-Constrained Environments
Logarithmic Memory Networks are a new hierarchical-memory architecture claiming O(log n) attention, but the complexity math is internally inconsistent and the empirical evidence is a single small run.