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cs.LG2024
Synthetic Data Generation for Intersectional Fairness by Leveraging Hierarchical Group Structure
Gaurav Maheshwari, Aurélien Bellet, Pascal Denis +1
In this paper, we introduce a data augmentation approach specifically tailored to enhance intersectional fairness in classification tasks. Our method capitalizes on the hierarchica…
cs.LG2023
Fair Without Leveling Down: A New Intersectional Fairness Definition
Gaurav Maheshwari, Aurélien Bellet, Pascal Denis +1
In this work, we consider the problem of intersectional group fairness in the classification setting, where the objective is to learn discrimination-free models in the presence of…
cs.LG2023
Exploring Category Structure with Contextual Language Models and Lexical Semantic Networks
Joseph Renner, Pascal Denis, Rémi Gilleron +1
Recent work on predicting category structure with distributional models, using either static word embeddings (Heyman and Heyman, 2019) or contextualized language models (CLMs) (Mis…