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Past talk · AI/ML Seminar Series
Analyzing deep neural networks using attribution
Principal Research Scientist, Google
- Date & time
- Monday, March 7, 2022 · 1:00 PM
- Location
- Online (Zoom)
Abstract
A talk on analyzing deep neural networks using attribution methods — including integrated gradients, counterfactual and Shapley-value approaches, and attributing predictions to training data — to understand and debug model behavior (for example, discovering that a cancer-from-X-rays model was fixating on radiologist markings). (The speaker's original abstract was composed in verse.)
About the speaker
Mukund Sundararajan is a Principal Research Scientist and director at Google, whose work focuses on explanations and attribution methods for machine learning models.