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Summary: Testing with Concept Activation Vectors
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Classroom Contents
Interpretability - Now What?
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- 1 Intro
- 2 My goal interpretability
- 3 NON-goals
- 4 Investigating
- 5 Sanity check question.
- 6 Benchmarking interpretability methods (BIM)
- 7 Three metrics for measuring false positives
- 8 Model Contrast Score (MCS)
- 9 Defining concept activation vector (CAV) Inputs
- 10 TCAV core idea: Derivative with CAV to get prediction sensitivity
- 11 Quantitative validation: Guarding against spurious CAV
- 12 Recap TCAV: Testing with Concept Activation Vectors
- 13 Sanity check experiment setup
- 14 Human subject experiment: Can saliency maps communicate the same information?
- 15 TCAV in Two widely used image prediction models
- 16 Collect human doctor's knowledge
- 17 TCAV for Diabetic Retinopathy
- 18 Summary: Testing with Concept Activation Vectors
- 19 Responses from inside of academia
- 20 Limitations of TCAV
- 21 Things to keep in mind during our journey
