Title
Fair and accurate age prediction using distribution aware data curation and augmentation Yushi Cao David Berend Palina Tolmach Guy Amit Mosh Levy Yang Liu A. Shabtai Yuval Elovici CVBM 17 8 0 11 Sep 2020
Learning Unbiased Representations via Rényi Minimization Vincent Grari Oualid El Hajouji Sylvain Lamprier Marcin Detyniecki FaML 23 20 0 07 Sep 2020
Adversarial Learning for Counterfactual Fairness Vincent Grari Sylvain Lamprier Marcin Detyniecki FaML 19 22 0 30 Aug 2020
LiFT: A Scalable Framework for Measuring Fairness in ML Applications Sriram Vasudevan K. Kenthapadi FaML 19 56 0 14 Aug 2020
An Empirical Characterization of Fair Machine Learning For Clinical Risk Prediction Stephen R. Pfohl Agata Foryciarz N. Shah FaML 28 108 0 20 Jul 2020
Investigating Bias and Fairness in Facial Expression Recognition Tian Xu J. White Sinan Kalkan Hatice Gunes CVBM 20 158 0 20 Jul 2020
Ensuring Fairness Beyond the Training Data Debmalya Mandal Samuel Deng Suman Jana Jeannette M. Wing Daniel J. Hsu FaML OOD 19 58 0 12 Jul 2020
Algorithmic Fairness in Education René F. Kizilcec Hansol Lee FaML 38 120 0 10 Jul 2020
Towards Data-Driven Affirmative Action Policies under Uncertainty Corinna Hertweck Carlos Castillo M. Mathioudakis 6 0 0 02 Jul 2020
Quality Management of Machine Learning Systems P. Santhanam 6 18 0 16 Jun 2020
Causal intersectionality for fair ranking Ke Yang Joshua R. Loftus Julia Stoyanovich 35 40 0 15 Jun 2020
Intra-Processing Methods for Debiasing Neural Networks Yash Savani Colin White G. NaveenSundar 16 43 0 15 Jun 2020
Towards Integrating Fairness Transparently in Industrial Applications Emily Dodwell Cheryl J. Flynn B. Krishnamurthy S. Majumdar Ritwik Mitra 30 0 0 10 Jun 2020
Fair Classification with Noisy Protected Attributes: A Framework with Provable Guarantees L. E. Celis Lingxiao Huang Vijay Keswani Nisheeth K. Vishnoi FaML 19 9 0 08 Jun 2020
Principles to Practices for Responsible AI: Closing the Gap Daniel S. Schiff B. Rakova A. Ayesh Anat Fanti M. Lennon 19 87 0 08 Jun 2020
Personalized Chatbot Trustworthiness Ratings Biplav Srivastava F. Rossi Sheema Usmani Mariana Bernagozzi 6 20 0 13 May 2020
Ensuring Fairness under Prior Probability Shifts Arpita Biswas Suvam Mukherjee OOD 16 32 0 06 May 2020
The Impact of Presentation Style on Human-In-The-Loop Detection of Algorithmic Bias Po-Ming Law Sana Malik F. Du Moumita Sinha 26 6 0 26 Apr 2020
Exploring Racial Bias within Face Recognition via per-subject Adversarially-Enabled Data Augmentation Seyma Yucer S. Akçay Noura Al-Moubayed T. Breckon 14 61 0 19 Apr 2020
REVISE: A Tool for Measuring and Mitigating Bias in Visual Datasets Angelina Wang Alexander Liu Ryan Zhang Anat Kleiman Leslie Kim Dora Zhao Iroha Shirai Arvind Narayanan Olga Russakovsky 25 186 0 16 Apr 2020
FACT: A Diagnostic for Group Fairness Trade-offs Joon Sik Kim Jiahao Chen Ameet Talwalkar FaML 40 15 0 07 Apr 2020
Foundations of Explainable Knowledge-Enabled Systems Shruthi Chari Daniel Gruen Oshani Seneviratne D. McGuinness 31 28 0 17 Mar 2020
Designing Tools for Semi-Automated Detection of Machine Learning Biases: An Interview Study Po-Ming Law Sana Malik F. Du Moumita Sinha 23 12 0 13 Mar 2020
Auditing ML Models for Individual Bias and Unfairness Songkai Xue Mikhail Yurochkin Yuekai Sun MLAU 40 23 0 11 Mar 2020
Link Prediction using Graph Neural Networks for Master Data Management Balaji Ganesan Srinivas Parkala Neeraj R Singh Sumit Bhatia Gayatri Mishra Matheen Ahmed Pasha Hima Patel Somashekar Naganna AI4CE 35 11 0 07 Mar 2020
Demographic Bias in Biometrics: A Survey on an Emerging Challenge P. Drozdowski Christian Rathgeb A. Dantcheva N. Damer C. Busch FaML 135 200 0 05 Mar 2020
Evidence-based explanation to promote fairness in AI systems J. Ferreira Mateus de Souza Monteiro FaML 14 5 0 03 Mar 2020
Detection and Mitigation of Bias in Ted Talk Ratings Rupam Acharyya Shouman Das Ankani Chattoraj Oishani Sengupta Md Iftekar Tanveer CML 14 3 0 02 Mar 2020
FR-Train: A Mutual Information-Based Approach to Fair and Robust Training Yuji Roh Kangwook Lee Steven Euijong Whang Changho Suh 21 78 0 24 Feb 2020
Data Augmentation for Personal Knowledge Base Population Lingraj S. Vannur Balaji Ganesan Lokesh Nagalapatti Hima Patel MN Thippeswamy 9 5 0 23 Feb 2020
Joint Optimization of AI Fairness and Utility: A Human-Centered Approach Yunfeng Zhang Rachel K. E. Bellamy Kush R. Varshney 14 38 0 05 Feb 2020
A Framework for Democratizing AI Shakkeel Ahmed Ravi Mula S. Dhavala 32 9 0 01 Jan 2020
Fairness Assessment for Artificial Intelligence in Financial Industry Yukun Zhang Longsheng Zhou 11 15 0 16 Dec 2019
Detection and Mitigation of Rare Subclasses in Deep Neural Network Classifiers Colin Paterson R. Calinescu Chiara Picardi 25 4 0 28 Nov 2019
FairPrep: Promoting Data to a First-Class Citizen in Studies on Fairness-Enhancing Interventions Sebastian Schelter Yuxuan He Jatin Khilnani Julia Stoyanovich 4 60 0 28 Nov 2019
FairyTED: A Fair Rating Predictor for TED Talk Data Rupam Acharyya Shouman Das Ankani Chattoraj Md. Iftekhar Tanveer 19 12 0 25 Nov 2019
Rule Extraction in Unsupervised Anomaly Detection for Model Explainability: Application to OneClass SVM A. Barbado Óscar Corcho Richard Benjamins 21 53 0 21 Nov 2019
Fair Data Adaptation with Quantile Preservation Drago Plečko N. Meinshausen 14 28 0 15 Nov 2019
Fair Adversarial Gradient Tree Boosting Vincent Grari Boris Ruf Sylvain Lamprier Marcin Detyniecki FaML 19 33 0 13 Nov 2019
Fairness-Aware Neural Réyni Minimization for Continuous Features Vincent Grari Boris Ruf Sylvain Lamprier Marcin Detyniecki 16 26 0 12 Nov 2019
Analyzing Bias in Sensitive Personal Information Used to Train Financial Models R. Bryant C. Cintas Isaac Wambugu Andrew Kinai Komminist Weldemariam 9 5 0 09 Nov 2019
Designing Evaluations of Machine Learning Models for Subjective Inference: The Case of Sentence Toxicity Agathe Balayn A. Bozzon ELM 17 4 0 06 Nov 2019
Unfairness towards subjective opinions in Machine Learning Agathe Balayn A. Bozzon Zoltán Szlávik FaML 22 1 0 06 Nov 2019
Understanding racial bias in health using the Medical Expenditure Panel Survey data Moninder Singh K. Ramamurthy 13 7 0 04 Nov 2019
Does Gender Matter? Towards Fairness in Dialogue Systems Haochen Liu Jamell Dacon Wenqi Fan Hui Liu Zitao Liu Jiliang Tang 27 141 0 16 Oct 2019
FAT Forensics: A Python Toolbox for Algorithmic Fairness, Accountability and Transparency Kacper Sokol Raúl Santos-Rodríguez Peter A. Flach 14 37 0 11 Sep 2019
Pretrained AI Models: Performativity, Mobility, and Change L. Varshney N. Keskar R. Socher 18 20 0 07 Sep 2019
Approaching Machine Learning Fairness through Adversarial Network Xiaoqian Wang Heng-Chiao Huang FaML 19 8 0 06 Sep 2019
Quantifying Infra-Marginality and Its Trade-off with Group Fairness Arpita Biswas Siddharth Barman Amit Deshpande Amit Sharma 17 3 0 03 Sep 2019
Fairness in Deep Learning: A Computational Perspective Mengnan Du Fan Yang Na Zou Xia Hu FaML FedML 15 228 0 23 Aug 2019