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
Rethinking Common Assumptions to Mitigate Racial Bias in Face Recognition Datasets M. Gwilliam Srinidhi Hegde Lade Tinubu Alex Hanson 26 28 1 07 Sep 2021
Fishr: Invariant Gradient Variances for Out-of-Distribution Generalization Alexandre Ramé Corentin Dancette Matthieu Cord OOD 40 204 0 07 Sep 2021
Recommendation Fairness: From Static to Dynamic De-Fu Zhang Jun Wang OffRL 24 15 0 05 Sep 2021
Efficient Algorithms For Fair Clustering with a New Fairness Notion Shivam Gupta Ganesh Ghalme N. C. Krishnan Shweta Jain FaML 65 8 0 02 Sep 2021
Targeting Underrepresented Populations in Precision Medicine: A Federated Transfer Learning Approach Sai Li Tianxi Cai R. Duan 26 45 0 27 Aug 2021
Enabling SQL-based Training Data Debugging for Federated Learning Yejia Liu Weiyuan Wu Lampros Flokas Jiannan Wang Eugene Wu FedML 23 15 0 26 Aug 2021
Exploring Biases and Prejudice of Facial Synthesis via Semantic Latent Space Xuyang Shen J. Plested Sabrina Caldwell Tom Gedeon CVBM 128 1 0 23 Aug 2021
Towards A Fairer Landmark Recognition Dataset Z. Kim A. Araújo Bingyi Cao Cameron S Askew Jack Sim Mike Green N. Yilla Tobias Weyand 6 10 0 19 Aug 2021
Understanding and Mitigating Annotation Bias in Facial Expression Recognition Yunliang Chen Jungseock Joo CVBM 32 81 0 19 Aug 2021
Equity-Directed Bootstrapping: Examples and Analysis Harish S. Bhat Majerle Reeves S. Goldman-Mellor 17 0 0 14 Aug 2021
TRAPDOOR: Repurposing backdoors to detect dataset bias in machine learning-based genomic analysis Esha Sarkar Michail Maniatakos 32 3 0 14 Aug 2021
Appropriate Fairness Perceptions? On the Effectiveness of Explanations in Enabling People to Assess the Fairness of Automated Decision Systems Jakob Schoeffer Niklas Kuehl 22 26 0 14 Aug 2021
The Sharpe predictor for fairness in machine learning Suyun Liu Luis Nunes Vicente 43 3 0 13 Aug 2021
Diachronic Analysis of German Parliamentary Proceedings: Ideological Shifts through the Lens of Political Biases Tobias Walter Celina Kirschner Steffen Eger Goran Glavavs Anne Lauscher Simone Paolo Ponzetto 16 20 0 13 Aug 2021
Beyond Fairness Metrics: Roadblocks and Challenges for Ethical AI in Practice Jiahao Chen Victor Storchan Eren Kurshan 19 10 0 11 Aug 2021
EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks Yushun Dong Ninghao Liu B. Jalaeian Jundong Li 31 117 0 11 Aug 2021
Post-hoc Interpretability for Neural NLP: A Survey Andreas Madsen Siva Reddy A. Chandar XAI 27 224 0 10 Aug 2021
Under the Radar -- Auditing Fairness in ML for Humanitarian Mapping L. Kondmann Xiao Xiang Zhu 33 7 0 04 Aug 2021
Fairness in Algorithmic Profiling: A German Case Study Christoph Kern Ruben L. Bach H. Mautner Frauke Kreuter 45 13 0 04 Aug 2021
Improving Counterfactual Generation for Fair Hate Speech Detection Aida Mostafazadeh Davani Ali Omrani Brendan Kennedy M. Atari Xiang Ren Morteza Dehghani 30 9 0 03 Aug 2021
Model Preserving Compression for Neural Networks Jerry Chee Megan Flynn Anil Damle Chris De Sa 16 7 0 30 Jul 2021
Multimodal Co-learning: Challenges, Applications with Datasets, Recent Advances and Future Directions Anil Rahate Rahee Walambe S. Ramanna K. Kotecha 27 135 0 29 Jul 2021
Adversarial Stacked Auto-Encoders for Fair Representation Learning Patrik Kenfack Adil Khan Rasheed Hussain S. M. Ahsan Kazmi FaML 6 4 0 27 Jul 2021
SVEva Fair: A Framework for Evaluating Fairness in Speaker Verification Wiebke Toussaint Aaron Yi Ding 21 10 0 26 Jul 2021
Measuring Ethics in AI with AI: A Methodology and Dataset Construction Pedro H. C. Avelar R. B. Audibert Anderson R. Tavares Luís C. Lamb 19 1 0 26 Jul 2021
Extending Challenge Sets to Uncover Gender Bias in Machine Translation: Impact of Stereotypical Verbs and Adjectives Jonas-Dario Troles Ute Schmid 6 15 0 24 Jul 2021
A Review of Some Techniques for Inclusion of Domain-Knowledge into Deep Neural Networks T. Dash Sharad Chitlangia Aditya Ahuja A. Srinivasan 30 128 0 21 Jul 2021
Responsible and Regulatory Conform Machine Learning for Medicine: A Survey of Challenges and Solutions Eike Petersen Yannik Potdevin Esfandiar Mohammadi Stephan Zidowitz Sabrina Breyer ... Sandra Henn Ludwig Pechmann M. Leucker P. Rostalski Christian Herzog FaML AILaw OOD 38 21 0 20 Jul 2021
Shared Interest: Measuring Human-AI Alignment to Identify Recurring Patterns in Model Behavior Angie Boggust Benjamin Hoover Arvindmani Satyanarayan Hendrik Strobelt 29 50 0 20 Jul 2021
FairBalance: How to Achieve Equalized Odds With Data Pre-processing Zhe Yu Joymallya Chakraborty Tim Menzies FaML 49 3 0 17 Jul 2021
MultiBench: Multiscale Benchmarks for Multimodal Representation Learning Paul Pu Liang Yiwei Lyu Xiang Fan Zetian Wu Yun Cheng ... Peter Wu Michelle A. Lee Yuke Zhu Ruslan Salakhutdinov Louis-Philippe Morency VLM 32 159 0 15 Jul 2021
Fairness in Ranking under Uncertainty Ashudeep Singh David Kempe Thorsten Joachims 31 49 0 14 Jul 2021
Fairness-aware Summarization for Justified Decision-Making Moniba Keymanesh T. Berger-Wolf Micha Elsner Srinivasan Parthasarathy 22 5 0 13 Jul 2021
Trustworthy AI: A Computational Perspective Haochen Liu Yiqi Wang Wenqi Fan Xiaorui Liu Yaxin Li Shaili Jain Yunhao Liu Anil K. Jain Jiliang Tang FaML 104 196 0 12 Jul 2021
"Garbage In, Garbage Out" Revisited: What Do Machine Learning Application Papers Report About Human-Labeled Training Data? R. Geiger Dominique Cope Jamie Ip Marsha Lotosh Aayush Shah Jenny Weng Rebekah Tang 20 59 0 05 Jul 2021
Machine Learning for Fraud Detection in E-Commerce: A Research Agenda Niek Tax Kees Jan de Vries Mathijs de Jong Nikoleta Dosoula Bram van den Akker Jon Smith Olivier Thuong Lucas Bernardi 6 19 0 05 Jul 2021
Fair Decision Rules for Binary Classification Connor Lawless Oktay Gunluk FaML 26 6 0 03 Jul 2021
Productivity, Portability, Performance: Data-Centric Python Yiheng Wang Yao Zhang Yanzhang Wang Yan Wan Jiao Wang Zhongyuan Wu Yuhao Yang Bowen She 54 95 0 01 Jul 2021
What do End-to-End Speech Models Learn about Speaker, Language and Channel Information? A Layer-wise and Neuron-level Analysis Shammur A. Chowdhury Nadir Durrani Ahmed M. Ali 41 12 0 01 Jul 2021
Quantifying Social Biases in NLP: A Generalization and Empirical Comparison of Extrinsic Fairness Metrics Paula Czarnowska Yogarshi Vyas Kashif Shah 21 104 0 28 Jun 2021
Fairness via Representation Neutralization Mengnan Du Subhabrata Mukherjee Guanchu Wang Ruixiang Tang Ahmed Hassan Awadallah Xia Hu 25 78 0 23 Jun 2021
DP-SGD vs PATE: Which Has Less Disparate Impact on Model Accuracy? Archit Uniyal Rakshit Naidu Sasikanth Kotti Sahib Singh Patrik Kenfack Fatemehsadat Mireshghallah Andrew Trask 11 33 0 22 Jun 2021
FLEA: Provably Robust Fair Multisource Learning from Unreliable Training Data Eugenia Iofinova Nikola Konstantinov Christoph H. Lampert FaML 36 0 0 22 Jun 2021
Data Optimisation for a Deep Learning Recommender System Gustav Hertz Sandhya Sachidanandan Balázs Tóth Emil S. Jørgensen Martin Tegnér 17 0 0 21 Jun 2021
Does Robustness Improve Fairness? Approaching Fairness with Word Substitution Robustness Methods for Text Classification Yada Pruksachatkun Satyapriya Krishna Jwala Dhamala Rahul Gupta Kai-Wei Chang 19 32 0 21 Jun 2021
An Information Retrieval Approach to Building Datasets for Hate Speech Detection Md. Mustafizur Rahman Dinesh Balakrishnan Dhiraj Murthy Mucahid Kutlu Matthew Lease 10 24 0 17 Jun 2021
Simon Says: Evaluating and Mitigating Bias in Pruned Neural Networks with Knowledge Distillation Cody Blakeney Nathaniel Huish Yan Yan Ziliang Zong 15 18 0 15 Jun 2021
User Acceptance of Gender Stereotypes in Automated Career Recommendations Clarice Wang Kathryn Wang Andrew Bian Rashidul Islam Kamrun Naher Keya James Foulde Shimei Pan FaML 20 7 0 13 Jun 2021
FairCanary: Rapid Continuous Explainable Fairness Avijit Ghosh Aalok Shanbhag Christo Wilson 11 20 0 13 Jun 2021
Fair Disaster Containment via Graph-Cut Problems M. Dinitz A. Srinivasan Leonidas Tsepenekas A. Vullikanti FaML 24 10 0 09 Jun 2021