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