Disentangling Influence: Using Disentangled Representations to Audit Model Predictions

Disentangling Influence: Using Disentangled Representations to Audit Model Predictions

Simons Institute via YouTube Direct link

General Question

3 of 23

3 of 23

General Question

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Classroom Contents

Disentangling Influence: Using Disentangled Representations to Audit Model Predictions

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  1. 1 Introduction
  2. 2 Background
  3. 3 General Question
  4. 4 Direct and Indirect Influence
  5. 5 Goal
  6. 6 Driving Methodology
  7. 7 Independent Settings
  8. 8 Independent Factors
  9. 9 Group Actions
  10. 10 Independent World States
  11. 11 Indirect Influence
  12. 12 Supervised Learning
  13. 13 Combining Processes
  14. 14 Independent Features
  15. 15 Autoencoder
  16. 16 Experimental Results
  17. 17 Reconstruction Error
  18. 18 Prediction Error
  19. 19 Feature Audit
  20. 20 Shape Scale Orientation
  21. 21 Recurse
  22. 22 Limitations
  23. 23 Questions

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