2 papers
cs.LG2020
RelatIF: Identifying Explanatory Training Examples via Relative Influence
Elnaz Barshan, Marc-Etienne Brunet, Gintare Karolina Dziugaite
In this work, we focus on the use of influence functions to identify relevant training examples that one might hope "explain" the predictions of a machine learning model. One short…
cs.LG2018
Understanding the Origins of Bias in Word Embeddings
Marc-Etienne Brunet, Colleen Alkalay-Houlihan, Ashton Anderson +1
The power of machine learning systems not only promises great technical progress, but risks societal harm. As a recent example, researchers have shown that popular word embedding a…