Optimising Equal Opportunity Fairness in Model Training

5 May 2022

Papers citing "Optimising Equal Opportunity Fairness in Model Training"

20 / 20 papers shown

Title
Deep Fair Learning: A Unified Framework for Fine-tuning Representations with Sufficient Networks Enze Shi Linglong Kong Bei Jiang FaML FedML 63 0 0 08 Apr 2025
Fair Text Classification via Transferable Representations Thibaud Leteno Michael Perrot Charlotte Laclau Antoine Gourru Christophe Gravier FaML 85 0 0 10 Mar 2025
Fair Class-Incremental Learning using Sample Weighting Jaeyoung Park Minsu Kim Steven Euijong Whang 38 0 0 02 Oct 2024
The Mismeasure of Man and Models: Evaluating Allocational Harms in Large Language Models Hannah Chen Yangfeng Ji David E. Evans 30 0 0 02 Aug 2024
An ExplainableFair Framework for Prediction of Substance Use Disorder Treatment Completion Mary M. Lucas Xiaoyang Wang Chia-Hsuan Chang Christopher C. Yang Jacqueline E. Braughton Quyen M. Ngo FaML 38 2 0 04 Apr 2024
Addressing Both Statistical and Causal Gender Fairness in NLP Models Hannah Chen Yangfeng Ji David E. Evans 26 2 0 30 Mar 2024
Fair Text Classification with Wasserstein Independence Thibaud Leteno Antoine Gourru Charlotte Laclau Rémi Emonet Christophe Gravier FaML 24 2 0 21 Nov 2023
Selecting Shots for Demographic Fairness in Few-Shot Learning with Large Language Models Carlos Alejandro Aguirre Kuleen Sasse Isabel Cachola Mark Dredze 26 1 0 14 Nov 2023
Loss Balancing for Fair Supervised Learning Mohammad Mahdi Khalili Xueru Zhang Mahed Abroshan FedML FaML 17 6 0 07 Nov 2023
OccuQuest: Mitigating Occupational Bias for Inclusive Large Language Models Mingfeng Xue Dayiheng Liu Kexin Yang Guanting Dong Wenqiang Lei Zheng Yuan Chang Zhou Jingren Zhou LLMAG 14 2 0 25 Oct 2023
iLab at SemEval-2023 Task 11 Le-Wi-Di: Modelling Disagreement or Modelling Perspectives? Nikolas Vitsakis Amit Parekh Tanvi Dinkar Gavin Abercrombie Ioannis Konstas Verena Rieser 47 10 0 10 May 2023
Same Same, But Different: Conditional Multi-Task Learning for Demographic-Specific Toxicity Detection Soumyajit Gupta Sooyong Lee Maria De-Arteaga Matthew Lease 16 13 0 14 Feb 2023
Fair Enough: Standardizing Evaluation and Model Selection for Fairness Research in NLP Xudong Han Timothy Baldwin Trevor Cohn 26 12 0 11 Feb 2023
Systematic Evaluation of Predictive Fairness Xudong Han Aili Shen Trevor Cohn Timothy Baldwin Lea Frermann 19 7 0 17 Oct 2022
Equal Improvability: A New Fairness Notion Considering the Long-term Impact Ozgur Guldogan Yuchen Zeng Jy-yong Sohn Ramtin Pedarsani Kangwook Lee FaML 21 13 0 13 Oct 2022
A Differentiable Distance Approximation for Fairer Image Classification Nicholas Rosa Tom Drummond Mehrtash Harandi 13 0 0 09 Oct 2022
Contrastive Learning for Fair Representations Aili Shen Xudong Han Trevor Cohn Timothy Baldwin Lea Frermann FaML 34 33 0 22 Sep 2021
Fairness-aware Class Imbalanced Learning Shivashankar Subramanian Afshin Rahimi Timothy Baldwin Trevor Cohn Lea Frermann FaML 101 28 0 21 Sep 2021
Evaluating Debiasing Techniques for Intersectional Biases Shivashankar Subramanian Xudong Han Timothy Baldwin Trevor Cohn Lea Frermann 87 49 0 21 Sep 2021
Learning Adversarially Fair and Transferable Representations David Madras Elliot Creager T. Pitassi R. Zemel FaML 233 673 0 17 Feb 2018