Unmasking Clever Hans Predictors and Assessing Machine Learning - Spring 2021

Unmasking Clever Hans Predictors and Assessing Machine Learning - Spring 2021

UCF CRCV via YouTube Direct link

Overview

2 of 20

2 of 20

Overview

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Classroom Contents

Unmasking Clever Hans Predictors and Assessing Machine Learning - Spring 2021

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  1. 1 Intro
  2. 2 Overview
  3. 3 Clever Hans (Horse)
  4. 4 Popular Heatmap Techniques
  5. 5 Layer wise Relevance Propagation
  6. 6 Characteristics of LRP
  7. 7 LRP Taylor Series Expansion for decomposition for last layer
  8. 8 Backpropagating Last Layer Relevance
  9. 9 LRP Rules
  10. 10 LRP Taylor Series Result LRP Heatmaps are more accurate sa compared to Sensitivity Analysis
  11. 11 Where & how to use LRP
  12. 12 SPRAY (Spectral Relevance Analysis) (Apply Spectral Cluster on LRP)
  13. 13 Spectral Clustering
  14. 14 Spectral Analysis Flow
  15. 15 Fisher Vector Model
  16. 16 SPRAY In Action, Cracking Fisher Vectors Vs DNN predictions
  17. 17 Aggregate Heat Map visualizations for boat & horse
  18. 18 SPRAY In Action, The Aeroplane Fault • Aeroplane is detected based on its background in both models
  19. 19 SPRAY In Action, DNN with Aeroplane Fault
  20. 20 Conclusion & Thoughts

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