Title
Detection and Mitigation of Bias in Ted Talk Ratings Rupam Acharyya Shouman Das Ankani Chattoraj Oishani Sengupta Md Iftekar Tanveer CML 117 3 0 02 Mar 2020
FR-Train: A Mutual Information-Based Approach to Fair and Robust TrainingInternational Conference on Machine Learning (ICML), 2020 Yuji Roh Kangwook Lee Steven Euijong Whang Changho Suh 259 84 0 24 Feb 2020
Data Augmentation for Personal Knowledge Base Population Lingraj S. Vannur Balaji Ganesan Lokesh Nagalapatti Hima Patel MN Thippeswamy 179 5 0 23 Feb 2020
Joint Optimization of AI Fairness and Utility: A Human-Centered ApproachAAAI/ACM Conference on AI, Ethics, and Society (AIES), 2020 Yunfeng Zhang Rachel K. E. Bellamy Kush R. Varshney 121 39 0 05 Feb 2020
A Framework for Democratizing AI Shakkeel Ahmed Ravi Mula S. Dhavala 97 10 0 01 Jan 2020
Fairness Assessment for Artificial Intelligence in Financial Industry Yukun Zhang Longsheng Zhou 55 16 0 16 Dec 2019
Detection and Mitigation of Rare Subclasses in Deep Neural Network ClassifiersInternational Conference on Artificial Intelligence Testing (ICAIT), 2019 Colin Paterson R. Calinescu Chiara Picardi 197 4 0 28 Nov 2019
FairPrep: Promoting Data to a First-Class Citizen in Studies on Fairness-Enhancing InterventionsInternational Conference on Extending Database Technology (EDBT), 2019 Sebastian Schelter Yuxuan He Jatin Khilnani Julia Stoyanovich 97 62 0 28 Nov 2019
FairyTED: A Fair Rating Predictor for TED Talk DataAAAI Conference on Artificial Intelligence (AAAI), 2019 Rupam Acharyya Shouman Das Ankani Chattoraj Md. Iftekhar Tanveer 111 12 0 25 Nov 2019
Rule Extraction in Unsupervised Anomaly Detection for Model Explainability: Application to OneClass SVMExpert systems with applications (ESWA), 2019 A. Barbado Óscar Corcho Richard Benjamins 163 64 0 21 Nov 2019
Fair Data Adaptation with Quantile Preservation Drago Plečko N. Meinshausen 142 35 0 15 Nov 2019
Fair Adversarial Gradient Tree BoostingIndustrial Conference on Data Mining (IDM), 2019 Vincent Grari Boris Ruf Sylvain Lamprier Marcin Detyniecki FaML 172 36 0 13 Nov 2019
Fairness-Aware Neural Réyni Minimization for Continuous Features Vincent Grari Boris Ruf Sylvain Lamprier Marcin Detyniecki 135 30 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 80 5 0 09 Nov 2019
Designing Evaluations of Machine Learning Models for Subjective Inference: The Case of Sentence Toxicity Agathe Balayn A. Bozzon ELM 84 4 0 06 Nov 2019
Unfairness towards subjective opinions in Machine Learning Agathe Balayn A. Bozzon Zoltán Szlávik FaML 98 1 0 06 Nov 2019
Understanding racial bias in health using the Medical Expenditure Panel Survey data Moninder Singh Karthikeyan N. Ramamurthy 85 7 0 04 Nov 2019
Does Gender Matter? Towards Fairness in Dialogue SystemsInternational Conference on Computational Linguistics (COLING), 2019 Haochen Liu Jamell Dacon Wenqi Fan Hui Liu Zitao Liu Shucheng Zhou 211 151 0 16 Oct 2019
FAT Forensics: A Python Toolbox for Algorithmic Fairness, Accountability and Transparency Kacper Sokol Raúl Santos-Rodríguez Peter A. Flach 141 41 0 11 Sep 2019
Pretrained AI Models: Performativity, Mobility, and Change Lav Varshney N. Keskar R. Socher 91 21 0 07 Sep 2019
Approaching Machine Learning Fairness through Adversarial Network Xiaoqian Wang Heng-Chiao Huang FaML 87 8 0 06 Sep 2019
Quantifying Infra-Marginality and Its Trade-off with Group Fairness Arpita Biswas Siddharth Barman Amit Deshpande Amit Sharma 81 3 0 03 Sep 2019
Fairness in Deep Learning: A Computational PerspectiveIEEE Intelligent Systems (IEEE Intell. Syst.), 2019 Mengnan Du Fan Yang Na Zou Helen Zhou FaML FedML 178 255 0 23 Aug 2019
A Survey on Bias and Fairness in Machine LearningACM Computing Surveys (ACM CSUR), 2019 Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 1.3K 5,212 0 23 Aug 2019
Paired-Consistency: An Example-Based Model-Agnostic Approach to Fairness Regularization in Machine Learning Yair Horesh N. Haas Elhanan Mishraky Yehezkel S. Resheff Shir Meir Lador FaML 157 9 0 07 Aug 2019
The What-If Tool: Interactive Probing of Machine Learning ModelsIEEE Transactions on Visualization and Computer Graphics (IEEE TVCG), 2019 James Wexler Mahima Pushkarna Tolga Bolukbasi Martin Wattenberg F. Viégas Jimbo Wilson VLM 200 547 0 09 Jul 2019
Training individually fair ML models with Sensitive Subspace RobustnessInternational Conference on Learning Representations (ICLR), 2019 Mikhail Yurochkin Amanda Bower Yuekai Sun FaML OOD 204 122 0 28 Jun 2019
FlipTest: Fairness Testing via Optimal Transport Emily Black Samuel Yeom Matt Fredrikson 307 100 0 21 Jun 2019
Adversarial training approach for local data debiasing Ulrich Aïvodji F. Bidet Sébastien Gambs Rosin Claude Ngueveu Alain Tapp 173 10 0 19 Jun 2019
Balanced Ranking with Diversity ConstraintsInternational Joint Conference on Artificial Intelligence (IJCAI), 2019 Ke Yang Vasilis Gkatzelis Julia Stoyanovich 81 72 0 04 Jun 2019
Optimized Score Transformation for Consistent Fair ClassificationJournal of machine learning research (JMLR), 2019 Dennis L. Wei Karthikeyan N. Ramamurthy Flavio du Pin Calmon 188 18 0 31 May 2019
Fairness and Missing Values Fernando Martínez-Plumed Cesar Ferri David Nieves José Hernández-Orallo 143 31 0 29 May 2019
Software Engineering for Fairness: A Case Study with Hyperparameter Optimization Joymallya Chakraborty Tianpei Xia F. M. Fahid Tim Menzies FaML 196 41 0 14 May 2019
Assuring the Machine Learning Lifecycle: Desiderata, Methods, and ChallengesACM Computing Surveys (ACM CSUR), 2019 Rob Ashmore R. Calinescu Colin Paterson AI4TS 200 132 0 10 May 2019
Estimating Kullback-Leibler Divergence Using Kernel MachinesAsilomar Conference on Signals, Systems and Computers (ACSSC), 2019 Kartik Ahuja 135 13 0 02 May 2019
Data Cleaning for Accurate, Fair, and Robust Models: A Big Data - AI Integration Approach Ki Hyun Tae Yuji Roh Young H. Oh Hyunsub Kim Steven Euijong Whang 119 77 0 22 Apr 2019
Fairness for Robust Log Loss Classification Ashkan Rezaei Rizal Fathony Omid Memarrast Brian Ziebart FaML 164 8 0 10 Mar 2019
Stable and Fair Classification Lingxiao Huang Nisheeth K. Vishnoi FaML 353 71 0 21 Feb 2019
Fairwashing: the risk of rationalization Ulrich Aïvodji Hiromi Arai O. Fortineau Sébastien Gambs Satoshi Hara Alain Tapp FaML 183 169 0 28 Jan 2019
Faking Fairness via Stealthily Biased Sampling Kazuto Fukuchi Satoshi Hara Takanori Maehara MLAU 147 20 0 24 Jan 2019
Bias Mitigation Post-processing for Individual and Group Fairness P. Lohia Karthikeyan N. Ramamurthy M. Bhide Diptikalyan Saha Kush R. Varshney Ruchir Puri FaML 142 182 0 14 Dec 2018
AI Fairness for People with Disabilities: Point of View Shari Trewin 97 82 0 26 Nov 2018
Aequitas: A Bias and Fairness Audit Toolkit Pedro Saleiro Benedict Kuester Loren Hinkson J. London Abby Stevens Ari Anisfeld Kit T. Rodolfa Rayid Ghani 285 376 0 14 Nov 2018