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12/21/2018
Feature-Wise Bias Amplification
We study the phenomenon of bias amplification in classifiers, wherein a ...
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08/06/2018
Correspondences between Privacy and Nondiscrimination: Why They Should Be Studied Together
Privacy and nondiscrimination are related but different. We make this ob...
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03/28/2018
Supervising Feature Influence
Causal influence measures for machine learnt classifiers shed light on t...
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02/11/2018
Influence-Directed Explanations for Deep Convolutional Networks
We study the problem of explaining a rich class of behavioral properties...
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11/29/2017
Latent Factor Interpretations for Collaborative Filtering
Many machine learning systems utilize latent factors as internal represe...
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09/27/2017
Case Study: Explaining Diabetic Retinopathy Detection Deep CNNs via Integrated Gradients
In this report, we applied integrated gradients to explaining a neural n...
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03/23/2016
