A Critical Look At Some Common Trends In IML Research
Shai Ben-David (University of Waterloo)
Zoom
Note: The event time listed is set to Pacific Time.
I wish to stimulate a critical discussion of some popular trends in IML publications. Topics I would like to address include:
1) Accuracy interpretability tradeoffs for ML class predictors.
2) Causality as interpretation and counterfactual analysis as causality.
3) Heat maps (and saliency masks) as interpretations for DNNs.
4) Interpreting image-interpretations beyond object recognition.
To register for this event and receive the Zoom link, please email organizers bendavid.shai [at] gmail.com (subject: Inquiry%20to%20register%20for%20Interpretable%20Machine%20Learning%20event%20June%2029%2C%202020) (Shai Ben-David) or ruth.urner [at] gmail.com (subject: Inquiry%20to%20register%20for%20Interpretable%20Machine%20Learning%20event%20June%2029%2C%202020) (Ruth Urner).
