CAP6412 - SmoothGrad: Removing Noise by Adding Noise - Lecture

CAP6412 - SmoothGrad: Removing Noise by Adding Noise - Lecture

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Experiments - Adding Noise During Training

13 of 16

13 of 16

Experiments - Adding Noise During Training

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CAP6412 - SmoothGrad: Removing Noise by Adding Noise - Lecture

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  1. 1 Paper Details
  2. 2 Overview
  3. 3 Definition of Sensitivity Maps
  4. 4 Previous Work
  5. 5 Smooth Grad Proposal
  6. 6 Experiments - Models
  7. 7 Experiments - Visualization (Value of gradients)
  8. 8 Experiments - Visualization (Capping Values)
  9. 9 Experiments - Visualization (Multiplying with Input)
  10. 10 Experiments - Parameters
  11. 11 Experiments - Comparison to Baseline Methods
  12. 12 Experiments - Combining SmoothGrad
  13. 13 Experiments - Adding Noise During Training
  14. 14 Conclusion
  15. 15 For Paper
  16. 16 Against Paper

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