Zimmermann et al. (2021)

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

• Yamins et al. (2014)concept0.775
  Showed that performance-optimized neural networks align with biological brain representations in higher visual cortex
• Sorscher et al. (2022)concept0.768
  Showed word embeddings of visual concept names can be isometrically mapped to image embeddings, and developed framework for efficient concept extraction
• Baker et al. 2017concept0.759
  Reference for ToM modeled through partially observable inference of others' beliefs
• Abdou et al. (2021)concept0.755
  Discovered that color distances in language representations mirror human perceptual distances; reproduced and extended in this paper
• Kornblith et al. (2019)concept0.754
  Introduced CKA and observed that model alignment increases with model scale and dataset size
• Dravid et al. (2023)concept0.752
  Found Rosetta Neurons — neurons activated by same patterns across diverse vision models
• Merullo et al. (2022)concept0.749
  Found a single linear projection sufficient to stitch vision model to LLM for VQA and captioning
• Moschella et al. (2022)concept0.747
  Demonstrated zero-shot model stitching across text models trained on different modalities