A Survey on Bias and Fairness in Machine Learning

23 August 2019

Papers citing "A Survey on Bias and Fairness in Machine Learning"

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Title
Bayesian Bellman Operators M. Fellows Kristian Hartikainen Shimon Whiteson OffRL 42 15 0 09 Jun 2021
Learning from Multiple Noisy Partial Labelers Peilin Yu Tiffany Ding Stephen H. Bach NoLa 20 22 0 08 Jun 2021
An Information-theoretic Approach to Distribution Shifts Marco Federici Ryota Tomioka Patrick Forré OOD 44 17 0 07 Jun 2021
A Near-Optimal Algorithm for Debiasing Trained Machine Learning Models Ibrahim M. Alabdulmohsin Mario Lucic 21 22 0 06 Jun 2021
Towards Fairness Certification in Artificial Intelligence Tatiana Tommasi S. Bucci Barbara Caputo P. Asinari FaML 11 3 0 04 Jun 2021
Fairness-Aware Unsupervised Feature Selection Xiaoying Xing Hongfu Liu Chen Chen Jundong Li FaML 23 12 0 04 Jun 2021
A Closer Look at the Worst-case Behavior of Multi-armed Bandit Algorithms Anand Kalvit A. Zeevi 17 32 0 03 Jun 2021
SMURF: SeMantic and linguistic UndeRstanding Fusion for Caption Evaluation via Typicality Analysis Joshua Forster Feinglass Yezhou Yang 21 21 0 02 Jun 2021
Testing Group Fairness via Optimal Transport Projections Nian Si Karthyek Murthy Jose H. Blanchet Viet Anh Nguyen 18 29 0 02 Jun 2021
Improving Compositionality of Neural Networks by Decoding Representations to Inputs Mike Wu Noah D. Goodman Stefano Ermon AI4CE 30 3 0 01 Jun 2021
Fair Clustering Using Antidote Data Anshuman Chhabra Adish Singla P. Mohapatra FaML 14 16 0 01 Jun 2021
A Clarification of the Nuances in the Fairness Metrics Landscape Alessandro Castelnovo Riccardo Crupi Greta Greco D. Regoli Ilaria Giuseppina Penco A. Cosentini FaML 13 182 0 01 Jun 2021
Model Mis-specification and Algorithmic Bias Runshan Fu Yang Liang Peter Zhang 9 0 0 31 May 2021
Counterfactual Invariance to Spurious Correlations: Why and How to Pass Stress Tests Victor Veitch Alexander DÁmour Steve Yadlowsky Jacob Eisenstein OOD 24 91 0 31 May 2021
Demographic Fairness in Biometric Systems: What do the Experts say? Christian Rathgeb P. Drozdowski Naser Damer Dinusha Frings Christoph Busch FaML 26 23 0 31 May 2021
Tournesol: A quest for a large, secure and trustworthy database of reliable human judgments L. Hoang Louis Faucon A. Jungo S. Volodin D. Papuc ... Felix Grimberg Vlad Nitu Christine Vossen Sébastien Rouault El-Mahdi El-Mhamdi 38 13 0 29 May 2021
Efficient Online-Bandit Strategies for Minimax Learning Problems Christophe Roux Elias Wirth Sebastian Pokutta Thomas Kerdreux 20 1 0 28 May 2021
Obstructing Classification via Projection P. Haghighatkhah Wouter Meulemans Bettina Speckmann Jérôme Urhausen Kevin Verbeek 38 6 0 19 May 2021
AI and Ethics -- Operationalising Responsible AI Liming Zhu Xiwei Xu Qinghua Lu Guido Governatori Jon Whittle 36 37 0 19 May 2021
Achieving Fairness with a Simple Ridge Penalty M. Scutari F. Panero M. Proissl FaML 19 13 0 18 May 2021
Decision Making with Differential Privacy under a Fairness Lens Ferdinando Fioretto Cuong Tran Pascal Van Hentenryck 24 45 0 16 May 2021
An Interpretable Graph-based Mapping of Trustworthy Machine Learning Research N. Derzsy S. Majumdar Rajat Malik 13 1 0 13 May 2021
An Empirical Comparison of Bias Reduction Methods on Real-World Problems in High-Stakes Policy Settings Hemank Lamba Kit T. Rodolfa Rayid Ghani OffRL 41 17 0 13 May 2021
Addressing Fairness, Bias and Class Imbalance in Machine Learning: the FBI-loss E. Ferrari D. Bacciu FaML AI4CE 23 6 0 13 May 2021
Machine Assistance for Credit Card Approval? Random Wheel can Recommend and Explain Anupam Khan S. Ghosh 22 1 0 11 May 2021
Transitioning from Real to Synthetic data: Quantifying the bias in model Aman Gupta Deepak L. Bhatt Anubha Pandey 17 17 0 10 May 2021
The Authors Matter: Understanding and Mitigating Implicit Bias in Deep Text Classification Haochen Liu Wei Jin Hamid Karimi Zitao Liu Jiliang Tang 8 30 0 06 May 2021
Digital Voodoo Dolls Marija Slavkovik Clemens Stachl Caroline Pitman Jon Askonas 11 4 0 06 May 2021
CrossWalk: Fairness-enhanced Node Representation Learning Ahmad Khajehnejad M. Khajehnejad Mahmoudreza Babaei Krishna P. Gummadi Adrian Weller Baharan Mirzasoleiman 14 44 0 06 May 2021
When Fair Ranking Meets Uncertain Inference Avijit Ghosh Ritam Dutt Christo Wilson 39 44 0 05 May 2021
Hard Choices and Hard Limits for Artificial Intelligence B. Goodman 14 4 0 04 May 2021
Distributive Justice and Fairness Metrics in Automated Decision-making: How Much Overlap Is There? M. Kuppler Christoph Kern Ruben L. Bach Frauke Kreuter FaML 33 19 0 04 May 2021
Quality Assurance Challenges for Machine Learning Software Applications During Software Development Life Cycle Phases Md. Abdullah Al Alamin Gias Uddin 32 11 0 03 May 2021
Explaining how your AI system is fair Boris Ruf Marcin Detyniecki FaML 50 1 0 03 May 2021
Towards Fair Classifiers Without Sensitive Attributes: Exploring Biases in Related Features Tianxiang Zhao Enyan Dai Kai Shu Suhang Wang FaML 16 54 0 29 Apr 2021
FairDrop: Biased Edge Dropout for Enhancing Fairness in Graph Representation Learning Indro Spinelli Simone Scardapane Amir Hussain A. Uncini FaML 33 80 0 29 Apr 2021
Improving Fairness in Speaker Recognition Gianni Fenu Giacomo Medda Mirko Marras Giacomo Meloni 21 19 0 29 Apr 2021
Societal Biases in Retrieved Contents: Measurement Framework and Adversarial Mitigation for BERT Rankers Navid Rekabsaz Simone Kopeinik Markus Schedl 24 61 0 28 Apr 2021
A Survey on Accuracy-oriented Neural Recommendation: From Collaborative Filtering to Information-rich Recommendation Le Wu Xiangnan He Xiang Wang Kun Zhang Meng Wang HAI 32 283 0 27 Apr 2021
Leaving My Fingerprints: Motivations and Challenges of Contributing to OSS for Social Good Yu Huang Denae Ford Thomas Zimmermann 45 31 0 26 Apr 2021
Carbon Emissions and Large Neural Network Training David A. Patterson Joseph E. Gonzalez Quoc V. Le Chen Liang Lluís-Miquel Munguía D. Rothchild David R. So Maud Texier J. Dean AI4CE 253 645 0 21 Apr 2021
Rule Generation for Classification: Scalability, Interpretability, and Fairness Tabea E. Rober Adia C. Lumadjeng M. Akyuz cS. .Ilker Birbil 27 2 0 21 Apr 2021
Manipulating SGD with Data Ordering Attacks Ilia Shumailov Zakhar Shumaylov Dmitry Kazhdan Yiren Zhao Nicolas Papernot Murat A. Erdogdu Ross J. Anderson AAML 112 90 0 19 Apr 2021
AMMU : A Survey of Transformer-based Biomedical Pretrained Language Models Katikapalli Subramanyam Kalyan A. Rajasekharan S. Sangeetha LM&MA MedIm 26 164 0 16 Apr 2021
Can Active Learning Preemptively Mitigate Fairness Issues? Frederic Branchaud-Charron Parmida Atighehchian Pau Rodríguez Grace Abuhamad Alexandre Lacoste FaML 22 20 0 14 Apr 2021
On the Impact of Random Seeds on the Fairness of Clinical Classifiers Silvio Amir Jan-Willem van de Meent Byron C. Wallace 19 14 0 13 Apr 2021
Gender Bias in Machine Translation Beatrice Savoldi Marco Gaido L. Bentivogli Matteo Negri Marco Turchi 64 192 0 13 Apr 2021
End-To-End Bias Mitigation: Removing Gender Bias in Deep Learning Tal Feldman Ashley Peake FaML 19 13 0 06 Apr 2021
Contrastive Explanations for Explaining Model Adaptations André Artelt Fabian Hinder Valerie Vaquet Robert Feldhans Barbara Hammer 44 4 0 06 Apr 2021
fairmodels: A Flexible Tool For Bias Detection, Visualization, And Mitigation Jakub Wi'sniewski P. Biecek 24 18 0 01 Apr 2021