Mitigating Unwanted Biases with Adversarial Learning

22 January 2018

Papers citing "Mitigating Unwanted Biases with Adversarial Learning"

50 / 253 papers shown

Title
Fairness and Bias in Truth Discovery Algorithms: An Experimental Analysis Simone Lazier Saravanan Thirumuruganathan Hadis Anahideh 29 3 0 25 Apr 2023
Auditing and Generating Synthetic Data with Controllable Trust Trade-offs Brian M. Belgodere Pierre Dognin Adam Ivankay Igor Melnyk Youssef Mroueh ... Mattia Rigotti Jerret Ross Yair Schiff Radhika Vedpathak Richard A. Young 34 12 0 21 Apr 2023
Connecting Fairness in Machine Learning with Public Health Equity Shaina Raza 31 5 0 08 Apr 2023
Should ChatGPT be Biased? Challenges and Risks of Bias in Large Language Models Emilio Ferrara SILM 36 247 0 07 Apr 2023
Fairlearn: Assessing and Improving Fairness of AI Systems Hilde Weerts Miroslav Dudík Richard Edgar Adrin Jalali Roman Lutz Michael Madaio FaML 27 65 0 29 Mar 2023
Implicit Visual Bias Mitigation by Posterior Estimate Sharpening of a Bayesian Neural Network Rebecca S Stone Nishant Ravikumar A. Bulpitt David C. Hogg BDL 36 0 0 29 Mar 2023
Towards Fair Patient-Trial Matching via Patient-Criterion Level Fairness Constraint Chia-Yuan Chang Jiayi Yuan Sirui Ding Qiaoyu Tan Kai Zhang Xiaoqian Jiang Xia Hu Na Zou FaML 32 9 0 24 Mar 2023
Bias mitigation techniques in image classification: fair machine learning in human heritage collections Dalia Ortiz Pablo Sushruth Badri Erik Norén Christoph Nötzli 33 1 0 20 Mar 2023
Addressing Biases in the Texts using an End-to-End Pipeline Approach Shaina Raza Syed Raza Bashir Sneha Urooj Qamar 38 0 0 13 Mar 2023
Fairness-enhancing deep learning for ride-hailing demand prediction Yunhan Zheng Qingyi Wang Dingyi Zhuang Shenhao Wang Jinhua Zhao 41 12 0 10 Mar 2023
Travel Demand Forecasting: A Fair AI Approach Xiaojian Zhang Qian Ke Xilei Zhao AI4TS 35 3 0 03 Mar 2023
Backdoor for Debias: Mitigating Model Bias with Backdoor Attack-based Artificial Bias Shangxi Wu Qiuyang He Jitao Sang Jitao Sang 28 1 0 01 Mar 2023
Fair Attribute Completion on Graph with Missing Attributes Dongliang Guo Zhixuan Chu Sheng Li FaML 33 16 0 25 Feb 2023
Measuring Equality in Machine Learning Security Defenses: A Case Study in Speech Recognition Luke E. Richards Edward Raff Cynthia Matuszek AAML 16 2 0 17 Feb 2023
Same Same, But Different: Conditional Multi-Task Learning for Demographic-Specific Toxicity Detection Soumyajit Gupta Sooyong Lee Maria De-Arteaga Matthew Lease 27 13 0 14 Feb 2023
Fair Diffusion: Instructing Text-to-Image Generation Models on Fairness Felix Friedrich Manuel Brack Lukas Struppek Dominik Hintersdorf P. Schramowski Sasha Luccioni Kristian Kersting 38 120 0 07 Feb 2023
Improving Fair Training under Correlation Shifts Yuji Roh Kangwook Lee Steven Euijong Whang Changho Suh 35 17 0 05 Feb 2023
Out of Context: Investigating the Bias and Fairness Concerns of "Artificial Intelligence as a Service" Kornel Lewicki M. S. Lee Jennifer Cobbe Jatinder Singh 31 21 0 02 Feb 2023
Hyper-parameter Tuning for Fair Classification without Sensitive Attribute Access A. Veldanda Ivan Brugere Sanghamitra Dutta Alan Mishler S. Garg 39 5 0 02 Feb 2023
Mind the (optimality) Gap: A Gap-Aware Learning Rate Scheduler for Adversarial Nets Hussein Hazimeh Natalia Ponomareva GAN 33 2 0 31 Jan 2023
DAMP: Doubly Aligned Multilingual Parser for Task-Oriented Dialogue William B. Held Christopher Hidey Fei Liu Eric Zhu Rahul Goel Diyi Yang Rushin Shah 34 0 0 15 Dec 2022
Towards Understanding Fairness and its Composition in Ensemble Machine Learning Usman Gohar Sumon Biswas Hridesh Rajan FaML FedML 13 24 0 08 Dec 2022
Better Hit the Nail on the Head than Beat around the Bush: Removing Protected Attributes with a Single Projection P. Haghighatkhah Antske Fokkens Pia Sommerauer Bettina Speckmann Kevin Verbeek 32 10 0 08 Dec 2022
Causal Fairness Assessment of Treatment Allocation with Electronic Health Records Linying Zhang L. Richter Yixin Wang A. Ostropolets Noémie Elhadad David M. Blei G. Hripcsak CML 26 1 0 21 Nov 2022
MMD-B-Fair: Learning Fair Representations with Statistical Testing Namrata Deka Danica J. Sutherland 20 6 0 15 Nov 2022
RISE: Robust Individualized Decision Learning with Sensitive Variables Xiaoqing Ellen Tan Zhengling Qi C. Seymour Lu Tang OffRL 26 8 0 12 Nov 2022
Towards Algorithmic Fairness in Space-Time: Filling in Black Holes Cheryl J. Flynn Aritra Guha S. Majumdar D. Srivastava Zhen-Xiong Zhou 21 0 0 08 Nov 2022
Detecting Shortcuts in Medical Images -- A Case Study in Chest X-rays Amelia Jiménez-Sánchez Dovile Juodelye B. Chamberlain V. Cheplygina 10 14 0 08 Nov 2022
Fair Visual Recognition via Intervention with Proxy Features Yi Zhang Jitao Sang Junyan Wang 23 1 0 02 Nov 2022
Improving Fairness in Image Classification via Sketching Ruichen Yao Ziteng Cui Xiaoxiao Li Lin Gu 33 15 0 31 Oct 2022
Mitigating Unfairness via Evolutionary Multi-objective Ensemble Learning Qingquan Zhang Jialin Liu Zeqi Zhang J. Wen Bifei Mao Xin Yao FaML 48 17 0 30 Oct 2022
Choose Your Lenses: Flaws in Gender Bias Evaluation Hadas Orgad Yonatan Belinkov 27 35 0 20 Oct 2022
Log-linear Guardedness and its Implications Shauli Ravfogel Yoav Goldberg Ryan Cotterell 28 2 0 18 Oct 2022
COFFEE: Counterfactual Fairness for Personalized Text Generation in Explainable Recommendation Nan Wang Qifan Wang Yi-Chia Wang Maziar Sanjabi Jingzhou Liu Hamed Firooz Hongning Wang Shaoliang Nie 28 6 0 14 Oct 2022
Controlling Bias Exposure for Fair Interpretable Predictions Zexue He Yu-Xiang Wang Julian McAuley Bodhisattwa Prasad Majumder 27 19 0 14 Oct 2022
Fairness via Adversarial Attribute Neighbourhood Robust Learning Q. Qi Shervin Ardeshir Yi Tian Xu Tianbao Yang 40 0 0 12 Oct 2022
Equal Experience in Recommender Systems Jaewoong Cho Moonseok Choi Changho Suh FaML 20 1 0 12 Oct 2022
FEAMOE: Fair, Explainable and Adaptive Mixture of Experts Shubham Sharma Jette Henderson Joydeep Ghosh FedML MoE 28 5 0 10 Oct 2022
A Differentiable Distance Approximation for Fairer Image Classification Nicholas Rosa Tom Drummond Mehrtash Harandi 21 0 0 09 Oct 2022
Improving Data-Efficient Fossil Segmentation via Model Editing Indu Panigrahi Ryan Manzuk A. Maloof Ruth C. Fong 35 1 0 08 Oct 2022
Fairness Reprogramming Guanhua Zhang Yihua Zhang Yang Zhang Wenqi Fan Qing Li Sijia Liu Shiyu Chang AAML 83 38 0 21 Sep 2022
Survey on Fairness Notions and Related Tensions Guilherme Alves Fabien Bernier Miguel Couceiro K. Makhlouf C. Palamidessi Sami Zhioua FaML 38 25 0 16 Sep 2022
Algorithmic decision making methods for fair credit scoring Darie Moldovan FaML 35 7 0 16 Sep 2022
Adaptive Fairness Improvement Based on Causality Analysis Mengdi Zhang Jun Sun 24 31 0 15 Sep 2022
Identifying Auxiliary or Adversarial Tasks Using Necessary Condition Analysis for Adversarial Multi-task Video Understanding Stephen Su Sam Kwong Qingyu Zhao De-An Huang Juan Carlos Niebles Ehsan Adeli 27 0 0 22 Aug 2022
Debiasing Deep Chest X-Ray Classifiers using Intra- and Post-processing Methods Ricards Marcinkevics Ece Ozkan Julia E. Vogt 25 18 0 26 Jul 2022
Algorithmic Fairness in Business Analytics: Directions for Research and Practice Maria De-Arteaga Stefan Feuerriegel M. Saar-Tsechansky FaML 22 42 0 22 Jul 2022
The Birth of Bias: A case study on the evolution of gender bias in an English language model Oskar van der Wal Jaap Jumelet K. Schulz Willem H. Zuidema 32 16 0 21 Jul 2022
Chairs Can be Stood on: Overcoming Object Bias in Human-Object Interaction Detection Guangzhi Wang Yangyang Guo Yongkang Wong Mohan S. Kankanhalli 31 10 0 06 Jul 2022
How Robust is Your Fairness? Evaluating and Sustaining Fairness under Unseen Distribution Shifts Haotao Wang Junyuan Hong Jiayu Zhou Zhangyang Wang OOD 60 11 0 04 Jul 2022