Title
Fair Column Subset Selection Antonis Matakos Bruno Ordozgoiti Suhas Thejaswi 29 2 0 07 Jun 2023
Fairness-Sensitive Policy-Gradient Reinforcement Learning for Reducing Bias in Robotic Assistance Jie Zhu Mengsha Hu Xueyao Liang Amy Zhang Ruoming Jin Rui Liu 16 1 0 07 Jun 2023
Fair multilingual vandalism detection system for Wikipedia Mykola Trokhymovych Muniza Aslam Ai-Jou Chou R. Baeza-Yates Diego Sáez-Trumper KELM 14 3 0 02 Jun 2023
Navigating Fairness in Radiology AI: Concepts, Consequences,and Crucial Considerations V. Venugopal Abhishek Gupta R. Takhar Charlene Jin Yee Liew Catherine Jones G. Szarf 14 1 0 02 Jun 2023
Bias Mitigation Methods for Binary Classification Decision-Making Systems: Survey and Recommendations Madeleine Waller Odinaldo Rodrigues O. Cocarascu FaML AI4CE 38 2 0 31 May 2023
Adapting Fairness Interventions to Missing Values R. Feng Flavio du Pin Calmon Hao Wang FaML 26 9 0 30 May 2023
Causality-Aided Trade-off Analysis for Machine Learning Fairness Zhenlan Ji Pingchuan Ma Shuai Wang Yanhui Li FaML 34 7 0 22 May 2023
Towards ethical multimodal systems Alexis Roger Esma Aïmeur Irina Rish 34 3 0 26 Apr 2023
Optimizing fairness tradeoffs in machine learning with multiobjective meta-models William La Cava FaML 14 4 0 21 Apr 2023
Auditing and Generating Synthetic Data with Controllable Trust Trade-offs Brian M. Belgodere Pierre L. Dognin Adam Ivankay Igor Melnyk Youssef Mroueh ... Mattia Rigotti Jerret Ross Yair Schiff Radhika Vedpathak Richard A. Young 32 12 0 21 Apr 2023
Assessing Perceived Fairness from Machine Learning Developer's Perspective Anoop Mishra Deepak Khazanchi FaML 27 0 0 07 Apr 2023
Fairness through Aleatoric Uncertainty Anique Tahir Lu Cheng Huan Liu 45 11 0 07 Apr 2023
Non-Invasive Fairness in Learning through the Lens of Data Drift Ke Yang A. Meliou 31 0 0 30 Mar 2023
Uncovering Bias in Personal Informatics Sofia Yfantidou Pavlos Sermpezis Athena Vakali R. Baeza-Yates 24 6 0 27 Mar 2023
Achieving Counterfactual Fairness with Imperfect Structural Causal Model Tri Dung Duong Qian Li Guandong Xu 24 2 0 26 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
Backdoor for Debias: Mitigating Model Bias with Backdoor Attack-based Artificial Bias Shangxi Wu Qiuyang He Jitao Sang Jitao Sang 25 1 0 01 Mar 2023
Re-weighting Based Group Fairness Regularization via Classwise Robust Optimization Sangwon Jung Taeeon Park Sanghyuk Chun Taesup Moon 6 18 0 01 Mar 2023
Function Composition in Trustworthy Machine Learning: Implementation Choices, Insights, and Questions Manish Nagireddy Moninder Singh Samuel C. Hoffman Evaline Ju K. Ramamurthy Kush R. Varshney 30 1 0 17 Feb 2023
A Novel Noise Injection-based Training Scheme for Better Model Robustness Zeliang Zhang Jinyang Jiang Minjie Chen Zhiyuan Wang Yijie Peng Zhaofei Yu 30 3 0 17 Feb 2023
A Review of the Role of Causality in Developing Trustworthy AI Systems Niloy Ganguly Dren Fazlija Maryam Badar M. Fisichella Sandipan Sikdar ... Koustav Rudra Manolis Koubarakis Gourab K. Patro W. Z. E. Amri Wolfgang Nejdl CML 39 23 0 14 Feb 2023
The Possibility of Fairness: Revisiting the Impossibility Theorem in Practice Andrew Bell Lucius E.J. Bynum Nazarii Drushchak Tetiana Herasymova Lucas Rosenblatt Julia Stoyanovich 41 18 0 13 Feb 2023
On Fairness and Stability: Is Estimator Variance a Friend or a Foe? Falaah Arif Khan Denys Herasymuk Julia Stoyanovich 41 2 0 09 Feb 2023
A conceptual model for leaving the data-centric approach in machine learning S. Scher Bernhard C. Geiger Simone Kopeinik A. Trugler Dominik Kowald 26 0 0 07 Feb 2023
Less, but Stronger: On the Value of Strong Heuristics in Semi-supervised Learning for Software Analytics Huy Tu Tim Menzies 23 0 0 03 Feb 2023
Charting the Sociotechnical Gap in Explainable AI: A Framework to Address the Gap in XAI Upol Ehsan Koustuv Saha M. D. Choudhury Mark O. Riedl 23 57 0 01 Feb 2023
Preserving Fairness in AI under Domain Shift Serban Stan Mohammad Rostami 18 2 0 29 Jan 2023
Aleatoric and Epistemic Discrimination: Fundamental Limits of Fairness Interventions Hao Wang Luxi He Rui Gao Flavio du Pin Calmon 19 9 0 27 Jan 2023
Against Algorithmic Exploitation of Human Vulnerabilities Inga Strümke Marija Slavkovik Clemens Stachl 18 0 0 12 Jan 2023
Introduction to Machine Learning for Physicians: A Survival Guide for Data Deluge Ricards Marcinkevics Ece Ozkan Julia E. Vogt OOD LM&MA FedML 29 2 0 23 Dec 2022
Consistent Range Approximation for Fair Predictive Modeling Jiongli Zhu Sainyam Galhotra Nazanin Sabri Babak Salimi 33 10 0 21 Dec 2022
Provable Fairness for Neural Network Models using Formal Verification Giorgian Borca-Tasciuc Xingzhi Guo Stanley Bak Steven Skiena 14 4 0 16 Dec 2022
Towards Understanding Fairness and its Composition in Ensemble Machine Learning Usman Gohar Sumon Biswas Hridesh Rajan FaML FedML 8 24 0 08 Dec 2022
Can Ensembling Pre-processing Algorithms Lead to Better Machine Learning Fairness? Khaled Badran Pierre-Olivier Coté Amanda Kolopanis Rached Bouchoucha Antonio Collante D. Costa Emad Shihab Foutse Khomh FaML FedML 9 0 0 05 Dec 2022
Certifying Fairness of Probabilistic Circuits Nikil Selvam Mathias Niepert YooJung Choi FaML TPM 15 6 0 05 Dec 2022
Subgroup Robustness Grows On Trees: An Empirical Baseline Investigation Josh Gardner Zoran Popovic Ludwig Schmidt OOD 29 22 0 23 Nov 2022
Fairness and bias correction in machine learning for depression prediction: results from four study populations Vien Ngoc Dang Anna Cascarano Rosa H. Mulder Charlotte A M Cecil Maria A. Zuluaga Jerónimo Hernández-González Karim Lekadir 11 1 0 10 Nov 2022
Improving Fairness in Image Classification via Sketching Ruichen Yao Ziteng Cui Xiaoxiao Li Lin Gu 30 15 0 31 Oct 2022
Simultaneous Improvement of ML Model Fairness and Performance by Identifying Bias in Data B. Chaudhari Akash Agarwal Tanmoy Bhowmik 17 2 0 24 Oct 2022
FairGen: Fair Synthetic Data Generation B. Chaudhari Himanshu Choudhary Aakash Agarwal Kamna Meena Tanmoy Bhowmik 21 3 0 24 Oct 2022
VerifyML: Obliviously Checking Model Fairness Resilient to Malicious Model Holder Guowen Xu Xingshuo Han Gelei Deng Tianwei Zhang Shengmin Xu Jianting Ning Anjia Yang Hongwei Li 20 4 0 16 Oct 2022
Navigating Ensemble Configurations for Algorithmic Fairness Michael Feffer Martin Hirzel Samuel C. Hoffman Kiran Kate Parikshit Ram Avraham Shinnar FedML FaML 18 0 0 11 Oct 2022
fAux: Testing Individual Fairness via Gradient Alignment Giuseppe Castiglione Ga Wu C. Srinivasa Simon J. D. Prince 13 3 0 10 Oct 2022
FEAMOE: Fair, Explainable and Adaptive Mixture of Experts Shubham Sharma Jette Henderson Joydeep Ghosh FedML MoE 28 5 0 10 Oct 2022
Equitable Marketplace Mechanism Design Kshama Dwarakanath Svitlana Vyetrenko T. Balch 18 1 0 22 Sep 2022
Fairness Reprogramming Guanhua Zhang Yihua Zhang Yang Zhang Wenqi Fan Qing Li Sijia Liu Shiyu Chang AAML 83 38 0 21 Sep 2022
Mitigating Representation Bias in Action Recognition: Algorithms and Benchmarks Haodong Duan Yue Zhao Kai-xiang Chen Yu Xiong Dahua Lin 11 7 0 20 Sep 2022
Enhanced Fairness Testing via Generating Effective Initial Individual Discriminatory Instances Minghua Ma Zhao Tian Max Hort Federica Sarro Hongyu Zhang Qingwei Lin Dongmei Zhang 15 5 0 17 Sep 2022
FairGBM: Gradient Boosting with Fairness Constraints André F. Cruz Catarina Belém Sérgio Jesus Joao Bravo Pedro Saleiro P. Bizarro 21 23 0 16 Sep 2022
iFlipper: Label Flipping for Individual Fairness Hantian Zhang Ki Hyun Tae Jaeyoung Park Xu Chu Steven Euijong Whang 33 6 0 15 Sep 2022