Inductive Bias

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

• Bias Amplificationconcept0.806
  Problem cited as a limitation of current LLMs; PRH predicts larger models should amplify bias less
• memory as inductive inferenceconcept0.758
  Von Foerster's view that memory is fundamentally generalization, not inherently temporal.
• Simplicity Biasconcept0.757
  The tendency of deep networks to implicitly favor simpler solutions that fit the data, driving convergence
• Simplicity Bias Hypothesishypothesis0.757
  Deep networks are biased toward finding simple fits to data, and this bias increases with model size, driving convergence
• Pre-Encoder Biasconcept0.748
  Architectural modification subtracting a learned bias from autoencoder inputs before encoding; initialized to geometric median of dataset; improves autoencoder performance
• Bias in language modelsconcept0.734
  Features related to gender, racial, ethnic biases, slurs, and hate speech.
• Normalized Indirect Effectmethod0.731
  Metric for intervention effectiveness: 0 = ineffective, 1 = full flip of model output from false to true or vice versa
• perceptual inferenceconcept0.728
  The process of inferring causes of sensory inputs, a key aspect of the free-energy minimization scheme.