Evaluating Debiasing Techniques for Intersectional Biases

21 September 2021

Shivashankar Subramanian

Papers citing "Evaluating Debiasing Techniques for Intersectional Biases"

28 / 28 papers shown

Title
Addressing Bias in Generative AI: Challenges and Research Opportunities in Information Management Xiahua Wei Naveen Kumar Han Zhang 65 4 0 22 Jan 2025
Diversity Drives Fairness: Ensemble of Higher Order Mutants for Intersectional Fairness of Machine Learning Software Zhenpeng Chen Xinyue Li J. Zhang Federica Sarro Yang Liu FaML 75 2 0 11 Dec 2024
Fairness Definitions in Language Models Explained Thang Viet Doan Zhibo Chu Zichong Wang Wenbin Zhang ALM 55 10 0 26 Jul 2024
Addressing Both Statistical and Causal Gender Fairness in NLP Models Hannah Chen Yangfeng Ji David E. Evans 26 2 0 30 Mar 2024
MIST: Mitigating Intersectional Bias with Disentangled Cross-Attention Editing in Text-to-Image Diffusion Models Hidir Yesiltepe Kiymet Akdemir Pinar Yanardag 29 3 0 28 Mar 2024
Protected group bias and stereotypes in Large Language Models Hadas Kotek David Q. Sun Zidi Xiu Margit Bowler Christopher Klein AILaw ALM 33 3 0 21 Mar 2024
A Note on Bias to Complete Jia Xu Mona Diab 47 2 0 18 Feb 2024
DSAP: Analyzing Bias Through Demographic Comparison of Datasets Iris Dominguez-Catena D. Paternain M. Galar 35 4 0 22 Dec 2023
Do-Not-Answer: A Dataset for Evaluating Safeguards in LLMs Yuxia Wang Haonan Li Xudong Han Preslav Nakov Timothy Baldwin 41 102 0 25 Aug 2023
Sociodemographic Bias in Language Models: A Survey and Forward Path Vipul Gupta Pranav Narayanan Venkit Shomir Wilson R. Passonneau 42 20 0 13 Jun 2023
Transferring Fairness using Multi-Task Learning with Limited Demographic Information Carlos Alejandro Aguirre Mark Dredze 25 0 0 22 May 2023
Fair Without Leveling Down: A New Intersectional Fairness Definition Gaurav Maheshwari A. Bellet Pascal Denis Mikaela Keller FaML 29 2 0 21 May 2023
A Survey on Intersectional Fairness in Machine Learning: Notions, Mitigation, and Challenges Usman Gohar Lu Cheng FaML 29 31 0 11 May 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 49 10 0 10 May 2023
Fairness in Language Models Beyond English: Gaps and Challenges Krithika Ramesh Sunayana Sitaram Monojit Choudhury 32 23 0 24 Feb 2023
Fair Enough: Standardizing Evaluation and Model Selection for Fairness Research in NLP Xudong Han Timothy Baldwin Trevor Cohn 28 12 0 11 Feb 2023
Bipol: Multi-axes Evaluation of Bias with Explainability in Benchmark Datasets Tosin P. Adewumi Isabella Sodergren Lama Alkhaled Sana Sabah Sabry F. Liwicki Marcus Liwicki 33 4 0 28 Jan 2023
Debiasing Methods for Fairer Neural Models in Vision and Language Research: A Survey Otávio Parraga Martin D. Móre C. M. Oliveira Nathan Gavenski L. S. Kupssinskü Adilson Medronha L. V. Moura Gabriel S. Simões Rodrigo C. Barros 42 11 0 10 Nov 2022
Bridging Fairness and Environmental Sustainability in Natural Language Processing Marius Hessenthaler Emma Strubell Dirk Hovy Anne Lauscher 16 8 0 08 Nov 2022
MABEL: Attenuating Gender Bias using Textual Entailment Data Jacqueline He Mengzhou Xia C. Fellbaum Danqi Chen 19 32 0 26 Oct 2022
Systematic Evaluation of Predictive Fairness Xudong Han Aili Shen Trevor Cohn Timothy Baldwin Lea Frermann 26 7 0 17 Oct 2022
Controlling Bias Exposure for Fair Interpretable Predictions Zexue He Yu-Xiang Wang Julian McAuley Bodhisattwa Prasad Majumder 6 19 0 14 Oct 2022
Optimising Equal Opportunity Fairness in Model Training Aili Shen Xudong Han Trevor Cohn Timothy Baldwin Lea Frermann FaML 21 28 0 05 May 2022
Is Your Toxicity My Toxicity? Exploring the Impact of Rater Identity on Toxicity Annotation Nitesh Goyal Ian D Kivlichan Rachel Rosen Lucy Vasserman 30 89 0 01 May 2022
Towards Equal Opportunity Fairness through Adversarial Learning Xudong Han Timothy Baldwin Trevor Cohn FaML 12 8 0 12 Mar 2022
Learning Fair Representations via Rate-Distortion Maximization Somnath Basu Roy Chowdhury Snigdha Chaturvedi FaML 6 14 0 31 Jan 2022
Fairness-aware Class Imbalanced Learning Shivashankar Subramanian Afshin Rahimi Timothy Baldwin Trevor Cohn Lea Frermann FaML 101 28 0 21 Sep 2021
Balancing out Bias: Achieving Fairness Through Balanced Training Xudong Han Timothy Baldwin Trevor Cohn 24 39 0 16 Sep 2021