4 papers · 1 filter
Fairer Analysis and Demographically Balanced Face Generation for Fairer Face Verification
Alexandre Fournier-Montgieux, Michael Soumm, Adrian Popescu +2
Face recognition and verification are two computer vision tasks whose performances have advanced with the introduction of deep representations. However, ethical, legal, and technic…
Causal Inference Tools for a Better Evaluation of Machine Learning
Michaël Soumm
We present a comprehensive framework for applying rigorous statistical techniques from econometrics to analyze and improve machine learning systems. We introduce key statistical me…
Quantifying User Coherence: A Unified Framework for Analyzing Recommender Systems Across Domains
Michaël Soumm, Alexandre Fournier-Montgieux, Adrian Popescu +1
The performance of Recommender Systems (RS) varies significantly across users, yet the underlying reasons for this variance remain poorly understood. This paper introduces a unifie…
Toward Fairer Face Recognition Datasets
Alexandre Fournier-Montgieux, Michael Soumm, Adrian Popescu +2
Face recognition and verification are two computer vision tasks whose performance has progressed with the introduction of deep representations. However, ethical, legal, and technic…