Title
CAT: Controllable Attribute Translation for Fair Facial Attribute Classification Jiazhi Li Wael AbdAlmageed CVBM 24 8 0 14 Sep 2022
RMExplorer: A Visual Analytics Approach to Explore the Performance and the Fairness of Disease Risk Models on Population Subgroups Bum Chul Kwon U. Kartoun S. Khurshid Mikhail Yurochkin Subha Maity Deanna G. Brockman A. Khera P. Ellinor S. Lubitz Kenney Ng 30 11 0 14 Sep 2022
Fairness in Forecasting of Observations of Linear Dynamical Systems Quan Zhou Jakub Mareˇcek Robert Shorten AI4TS 34 5 0 12 Sep 2022
FAT Forensics: A Python Toolbox for Implementing and Deploying Fairness, Accountability and Transparency Algorithms in Predictive Systems Kacper Sokol Alexander Hepburn Rafael Poyiadzi M. Clifford Raúl Santos-Rodríguez Peter A. Flach 32 29 0 08 Sep 2022
Closed-Loop View of the Regulation of AI: Equal Impact across Repeated Interactions Quan-Gen Zhou Ramen Ghosh Robert Shorten Jakub Mareˇcek 27 1 0 03 Sep 2022
Exploiting Fairness to Enhance Sensitive Attributes Reconstruction Julien Ferry Ulrich Aïvodji Sébastien Gambs Marie-José Huguet Mohamed Siala AAML 34 14 0 02 Sep 2022
Fair mapping Sébastien Gambs Rosin Claude Ngueveu 39 0 0 01 Sep 2022
Pushing the limits of fairness impossibility: Who's the fairest of them all? Brian Hsu Rahul Mazumder Preetam Nandy Kinjal Basu 27 10 0 24 Aug 2022
Modelling the long-term fairness dynamics of data-driven targeted help on job seekers S. Scher Simone Kopeinik A. Trugler Dominik Kowald 35 9 0 17 Aug 2022
Ex-Ante Assessment of Discrimination in Dataset Jonathan Vasquez Verdugo Xavier Gitiaux Huzefa Rangwala 40 0 0 16 Aug 2022
D-BIAS: A Causality-Based Human-in-the-Loop System for Tackling Algorithmic Bias Bhavya Ghai Klaus Mueller 26 40 0 10 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
Representational Ethical Model Calibration R. Carruthers Isabel Straw James K. Ruffle Dan Herron Amy Nelson D. Bzdok D. Fernández-Reyes Geraint Rees P. Nachev 28 7 0 25 Jul 2022
More Data Can Lead Us Astray: Active Data Acquisition in the Presence of Label Bias Yunyi Li Maria De-Arteaga M. Saar-Tsechansky FaML 33 3 0 15 Jul 2022
Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey Max Hort Zhenpeng Chen Jie M. Zhang Mark Harman Federica Sarro FaML AI4CE 33 160 0 14 Jul 2022
Towards A Holistic View of Bias in Machine Learning: Bridging Algorithmic Fairness and Imbalanced Learning Damien Dablain Bartosz Krawczyk Nitesh V. Chawla FaML 26 19 0 13 Jul 2022
How Robust is your Fair Model? Exploring the Robustness of Diverse Fairness Strategies E. Small Wei Shao Zeliang Zhang Peihan Liu Jeffrey Chan Kacper Sokol Flora D. Salim 60 2 0 11 Jul 2022
A Validity Perspective on Evaluating the Justified Use of Data-driven Decision-making Algorithms Amanda Coston Anna Kawakami Haiyi Zhu Kenneth Holstein Hoda Heidari 52 34 0 30 Jun 2022
Visual Auditor: Interactive Visualization for Detection and Summarization of Model Biases David Munechika Zijie J. Wang Jack Reidy Josh Rubin Krishna Gade K. Kenthapadi Duen Horng Chau MLAU 26 18 0 25 Jun 2022
Input-agnostic Certified Group Fairness via Gaussian Parameter Smoothing Jiayin Jin Zeru Zhang Yang Zhou Lingfei Wu 17 13 0 22 Jun 2022
The Right Tool for the Job: Open-Source Auditing Tools in Machine Learning Cherie Poland SyDa 27 5 0 20 Jun 2022
Beyond Adult and COMPAS: Fairness in Multi-Class Prediction Wael Alghamdi Hsiang Hsu Haewon Jeong Hao Wang P. Michalák S. Asoodeh Flavio du Pin Calmon FaML 32 16 0 15 Jun 2022
Towards Responsible AI: A Design Space Exploration of Human-Centered Artificial Intelligence User Interfaces to Investigate Fairness Yuri Nakao Lorenzo Strappelli Simone Stumpf A. Naseer D. Regoli Giulia Del Gamba 12 29 0 01 Jun 2022
How Biased are Your Features?: Computing Fairness Influence Functions with Global Sensitivity Analysis Bishwamittra Ghosh D. Basu Kuldeep S. Meel FaML 12 9 0 01 Jun 2022
To the Fairness Frontier and Beyond: Identifying, Quantifying, and Optimizing the Fairness-Accuracy Pareto Frontier Camille Olivia Little Michael Weylandt Genevera I. Allen 27 13 0 31 May 2022
Fool SHAP with Stealthily Biased Sampling Gabriel Laberge Ulrich Aïvodji Satoshi Hara M. Marchand Foutse Khomh MLAU AAML FAtt 10 2 0 30 May 2022
Debiasing Neural Retrieval via In-batch Balancing Regularization Yuantong Li Xiaokai Wei Zijian Wang Shen Wang Parminder Bhatia Xiaofei Ma Andrew O. Arnold 36 5 0 18 May 2022
Accurate Fairness: Improving Individual Fairness without Trading Accuracy Xuran Li Peng Wu Jing Su FaML 33 17 0 18 May 2022
De-biasing "bias" measurement K. Lum Yunfeng Zhang Amanda Bower 15 27 0 11 May 2022
Bias and Fairness on Multimodal Emotion Detection Algorithms Matheus Schmitz Rehan Ahmed Jim Cao FaML 52 12 0 11 May 2022
Don't Throw it Away! The Utility of Unlabeled Data in Fair Decision Making Miriam Rateike Ayan Majumdar Olga Mineeva Krishna P. Gummadi Isabel Valera OffRL 32 11 0 10 May 2022
Towards Intersectionality in Machine Learning: Including More Identities, Handling Underrepresentation, and Performing Evaluation Angelina Wang V. V. Ramaswamy Olga Russakovsky FaML 26 92 0 10 May 2022
A Survey on AI Sustainability: Emerging Trends on Learning Algorithms and Research Challenges Zhenghua Chen Min-man Wu Alvin Chan Xiaoli Li Yew-Soon Ong 19 6 0 08 May 2022
fairlib: A Unified Framework for Assessing and Improving Classification Fairness Xudong Han Aili Shen Yitong Li Lea Frermann Timothy Baldwin Trevor Cohn VLM FaML 23 12 0 04 May 2022
A Survey on Uncertainty Toolkits for Deep Learning Maximilian Pintz Joachim Sicking Maximilian Poretschkin Maram Akila ELM 33 6 0 02 May 2022
Fair Feature Subset Selection using Multiobjective Genetic Algorithm A. Rehman Anas Nadeem Muhammad Zubair Malik FaML 26 8 0 30 Apr 2022
Recommendations on test datasets for evaluating AI solutions in pathology A. Homeyer Christian Geißler L. O. Schwen Falk Zakrzewski Theodore Evans ... Tobias Lang P. Boor Heimo Muller P. Hufnagl N. Zerbe 47 42 0 21 Apr 2022
Epistemic Uncertainty-Weighted Loss for Visual Bias Mitigation Rebecca S Stone Nishant Ravikumar A. Bulpitt David C. Hogg 37 14 0 20 Apr 2022
Marrying Fairness and Explainability in Supervised Learning Przemyslaw A. Grabowicz Nicholas Perello Aarshee Mishra FaML 46 43 0 06 Apr 2022
AUC Maximization in the Era of Big Data and AI: A Survey Tianbao Yang Yiming Ying 38 179 0 28 Mar 2022
Downstream Fairness Caveats with Synthetic Healthcare Data Karan Bhanot Ioana Baldini Dennis L. Wei J. Zeng Kristin P. Bennett SyDa 18 2 0 09 Mar 2022
A Fair Pricing Model via Adversarial Learning Vincent Grari Arthur Charpentier Marcin Detyniecki 24 13 0 24 Feb 2022
Speciesist bias in AI -- How AI applications perpetuate discrimination and unfair outcomes against animals Thilo Hagendorff L. Bossert Yip Fai Tse P. Singer FaML 20 40 0 22 Feb 2022
Critical Checkpoints for Evaluating Defence Models Against Adversarial Attack and Robustness Kanak Tekwani Manojkumar Somabhai Parmar AAML ELM 11 0 0 18 Feb 2022
IF-City: Intelligible Fair City Planning to Measure, Explain and Mitigate Inequality Yan Lyu Hangxin Lu Min Kyung Lee G. Schmitt Brian Y. Lim 31 9 0 15 Feb 2022
Counterfactual Multi-Token Fairness in Text Classification P. Lohia 19 3 0 08 Feb 2022
Cascaded Debiasing: Studying the Cumulative Effect of Multiple Fairness-Enhancing Interventions Bhavya Ghai Mihir A. Mishra Klaus Mueller 25 7 0 08 Feb 2022
An Empirical Study of Modular Bias Mitigators and Ensembles Michael Feffer Martin Hirzel Samuel C. Hoffman Kiran Kate Parikshit Ram Avraham Shinnar 38 8 0 01 Feb 2022
Fair Wrapping for Black-box Predictions Alexander Soen Ibrahim M. Alabdulmohsin Sanmi Koyejo Yishay Mansour Nyalleng Moorosi Richard Nock Ke Sun Lexing Xie FaML 51 6 0 31 Jan 2022
FairIF: Boosting Fairness in Deep Learning via Influence Functions with Validation Set Sensitive Attributes Haonan Wang Ziwei Wu Jingrui He 24 12 0 15 Jan 2022