46 citations · 119 across the 11 of their papers we have counts for
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cs.LG2019★ 6 cited
Toward a better trade-off between performance and fairness with kernel-based distribution matching
Flavien Prost, Hai Qian, Qiuwen Chen +3
As recent literature has demonstrated how classifiers often carry unintended biases toward some subgroups, deploying machine learned models to users demands careful consideration o…
cs.LG2019
Debiasing Embeddings for Reduced Gender Bias in Text Classification
Flavien Prost, Nithum Thain, Tolga Bolukbasi
(Bolukbasi et al., 2016) demonstrated that pretrained word embeddings can inherit gender bias from the data they were trained on. We investigate how this bias affects downstream cl…