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Jean-Rémy Conti

2 accepted papers

2024

Assessing Uncertainty in Similarity Scoring: Performance & Fairness in Face Recognition

ICLR 2024poster

The ROC curve is the major tool for assessing not only the performance but also the fairness properties of a similarity scoring function. In order to draw reliable conclusions based on empirical ROC analysis, accurately evaluating the uncertainty level related to statistical versions of the ROC curv…

Cited by 2SourcePDFScholar
2022

Mitigating Gender Bias in Face Recognition using the von Mises-Fisher Mixture Model

ICML 2022spotlight

In spite of the high performance and reliability of deep learning algorithms in a wide range of everyday applications, many investigations tend to show that a lot of models exhibit biases, discriminating against specific subgroups of the population (e.g. gender, ethnicity). This urges the practition…