concept
active
concept:kornblith-et-al-2019

Kornblith et al. (2019)

Introduced CKA and observed that model alignment increases with model scale and dataset size

Neighborhood — ranked by edge-count

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.

  • Showed contrastive learning inverts the data generating process; supports claim that contrastive learners recover statistics of underlying world
  • Found Rosetta Neurons — neurons activated by same patterns across diverse vision models
  • Baker et al. 2017concept0.734
    Reference for ToM modeled through partially observable inference of others' beliefs
  • Showed word embeddings of visual concept names can be isometrically mapped to image embeddings, and developed framework for efficient concept extraction
  • Showed that performance-optimized neural networks align with biological brain representations in higher visual cortex
  • Abrini et al. 2025concept0.720
    Recent ToM in AI work cited as emphasizing inference of others' beliefs, contrasted with this paper's self-focus
  • Economic behavioral finding that altruists lie less when deception would harm others
  • Prior active inference paper providing detailed neurophysiological implementation of belief updates