Deep Representations

Hierarchical representations in neural networks that allow compression and coordinated behaviour while retaining sensitivity to input changes.

Neighborhood — ranked by edge-count

paper

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.

Deep Structureconcept0.822
Structure in representationsconcept0.811
The central question of whether representational geometry implies corresponding computational structure
Higher-Order Representationsconcept0.808
Representations of one's own mental states; associated with consciousness in higher-order theories.
Deep adaptationconcept0.800
The ultimate goal of participation: an environment so deeply fitted to its users that genuine satisfaction and life emerge
deep invariantsconcept0.796
Fundamental properties of sentient beings across all possible minds and bodies, not frozen accidents of evolution.
Deep Autoencoderframework0.793
Representation Designconcept0.793
The aspect of design dealing with data structures, modules, and implementation.
concept representationconcept0.793
How a neural network encodes a semantic concept internally, argued to be better captured by manifolds than by atomic features.