Evaluating Neural Network Representations Against Human Cognition

Evaluating Neural Network Representations Against Human Cognition

Simons Institute via YouTube Direct link

Birds vs. Planes

15 of 26

15 of 26

Birds vs. Planes

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Classroom Contents

Evaluating Neural Network Representations Against Human Cognition

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  1. 1 Intro
  2. 2 Categorization
  3. 3 Family resemblance
  4. 4 Prototypes vs. exemplars
  5. 5 Psychological spaces
  6. 6 Multidimensional scaling
  7. 7 Features not spaces
  8. 8 Violation of triangle inequality
  9. 9 Objectives
  10. 10 Convolutional neural networks
  11. 11 Collecting similarity judgments
  12. 12 Prediction performance
  13. 13 Hierarchical clustering
  14. 14 A basis for human representations
  15. 15 Birds vs. Planes
  16. 16 Category representations
  17. 17 Vector space models
  18. 18 Objections to spatial representations
  19. 19 Word association
  20. 20 The inadequacy of the cosine
  21. 21 Testing the parallelogram model
  22. 22 Testing on a wide range of relations
  23. 23 Human relational similarity judgments
  24. 24 Asymmetry in analogies
  25. 25 Violations of the triangle inequality
  26. 26 Conclusions

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