method
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method:sensory-landmark-position-encoding-stabilization

Sensory Landmark Position Encoding Stabilization

Method for stabilising drifting recurrent position encodings by querying stored landmark memories to correct path-integrated position.

Neighborhood — ranked by edge-count

Frameworks (1)

framework
  • The transformer version directly analogous to TEM, introduced in this paper, offering dramatic performance improvements.

Methods (1)

method
  • Key modification to transformers proposed in this paper: position encodings generated by a recurrent network trained on action sequences.

Related by similarity (8)

cosine ≥ 0.65 · no typed edge

Entities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.