conftrace_

fairness in machine learning

9 papers

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Co-occurring keywords · papers mentioning both

algorithmic fairness (2) subpopulation error (1) parameterized approximation (1) statistical fairness (1) bias transfer hypothesis (1) pre-training bia (1) gender-invariant representation (1) social bias mitigation (1) bias transfer (1) harmful stereotype (1)

Papers

Fairness in Automatic Speech Recognition Isn’t a One-Size-Fits-All EMNLP 2025 Blind Spots and Biases: Exploring the Role of Annotator Cognitive Biases in NLP NAACL 2024 Fairness in Survival Analysis with Distributionally Robust Optimization JMLR 2024 Parameterized Approximation Schemes for Fair-Range Clustering NeurIPS 2024 Reassessing Evaluation Functions in Algorithmic Recourse: An Empirical Study from a Human-Centered Perspective IJCAI 2024 Fairness Interventions as (Dis)Incentives for Strategic Manipulation ICML 2022 Upstream Mitigation Is Not All You Need: Testing the Bias Transfer Hypothesis in Pre-Trained Language Models ACL 2022 Pairwise Fairness for Ranking and Regression AAAI 2020 Unequal Representations: Analyzing Intersectional Biases in Word Embeddings Using Representational Similarity Analysis COLING 2020