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
Mining Multi-Label Samples from Single Positive Labels Youngin Cho Daejin Kim Mohammad Azam Khan Jaegul Choo GAN 27 7 0 12 Jun 2022
Don't "research fast and break things": On the ethics of Computational Social Science David Leslie 16 4 0 12 Jun 2022
Balanced Product of Calibrated Experts for Long-Tailed Recognition Emanuel Sanchez Aimar Arvi Jonnarth Michael Felsberg Marco Kuhlmann 28 22 0 10 Jun 2022
Privacy Leakage in Text Classification: A Data Extraction Approach Adel M. Elmahdy Huseyin A. Inan Robert Sim 27 13 0 09 Jun 2022
What-is and How-to for Fairness in Machine Learning: A Survey, Reflection, and Perspective Zeyu Tang Jiji Zhang Kun Zhang FaML 35 26 0 08 Jun 2022
Challenges in Applying Explainability Methods to Improve the Fairness of NLP Models Esma Balkir S. Kiritchenko I. Nejadgholi Kathleen C. Fraser 26 36 0 08 Jun 2022
Fair Classification via Domain Adaptation: A Dual Adversarial Learning Approach Yueqing Liang Canyu Chen Tian Tian Kai Shu FaML 11 9 0 08 Jun 2022
Improving Fairness in Graph Neural Networks via Mitigating Sensitive Attribute Leakage Yu-Chiang Frank Wang Yuying Zhao Yushun Dong Huiyuan Chen Jundong Li Tyler Derr 30 81 0 07 Jun 2022
Group Meritocratic Fairness in Linear Contextual Bandits Riccardo Grazzi A. Akhavan Johannes Falk Leonardo Cella Massimiliano Pontil FaML 32 8 0 07 Jun 2022
Recall Distortion in Neural Network Pruning and the Undecayed Pruning Algorithm Aidan Good Jia-Huei Lin Hannah Sieg Mikey Ferguson Xin Yu Shandian Zhe J. Wieczorek Thiago Serra 42 11 0 07 Jun 2022
FIFA: Making Fairness More Generalizable in Classifiers Trained on Imbalanced Data Zhun Deng Jiayao Zhang Linjun Zhang Ting Ye Yates Coley Weijie J. Su James Zou 43 16 0 06 Jun 2022
Enforcing Group Fairness in Algorithmic Decision Making: Utility Maximization Under Sufficiency Joachim Baumann Anikó Hannák Christoph Heitz FaML 19 23 0 05 Jun 2022
Improving Fairness in Large-Scale Object Recognition by CrowdSourced Demographic Information Zu Kim A. Araújo Bingyi Cao Cameron S Askew Jack Sim Mike Green N. Yilla Tobias Weyand 36 3 0 02 Jun 2022
Rashomon Capacity: A Metric for Predictive Multiplicity in Classification Hsiang Hsu Flavio du Pin Calmon 33 37 0 02 Jun 2022
Algorithmic Fairness and Structural Injustice: Insights from Feminist Political Philosophy Atoosa Kasirzadeh FaML 33 39 0 02 Jun 2022
Interpretability Guarantees with Merlin-Arthur Classifiers S. Wäldchen Kartikey Sharma Berkant Turan Max Zimmer Sebastian Pokutta FAtt 24 4 0 01 Jun 2022
Sex and Gender in the Computer Graphics Research Literature Ana Dodik Silvia Sellán Theodore Kim Amanda Phillips FaML 33 7 0 01 Jun 2022
Social Bias Meets Data Bias: The Impacts of Labeling and Measurement Errors on Fairness Criteria Yiqiao Liao Parinaz Naghizadeh Ardabili 24 8 0 31 May 2022
A Reduction to Binary Approach for Debiasing Multiclass Datasets Ibrahim M. Alabdulmohsin Jessica Schrouff Oluwasanmi Koyejo FaML MQ 39 9 0 31 May 2022
Metrizing Fairness Yves Rychener Bahar Taşkesen Daniel Kuhn FaML 44 4 0 30 May 2022
Optimal Decision Diagrams for Classification Alexandre M. Florio P. Martins Maximilian Schiffer Thiago Serra Thibaut Vidal 29 12 0 28 May 2022
Flexible Group Fairness Metrics for Survival Analysis R. Sonabend Florian Pfisterer Alan Mishler Moritz Schauer Lukas Burk Sumantrak Mukherjee Sandra Jeanne Vollmer FaML 27 3 0 26 May 2022
Fairness in Recommendation: Foundations, Methods and Applications Yunqi Li H. Chen Shuyuan Xu Yingqiang Ge Juntao Tan Shuchang Liu Yongfeng Zhang FaML OffRL 110 41 0 26 May 2022
Pruning has a disparate impact on model accuracy Cuong Tran Ferdinando Fioretto Jung-Eun Kim Rakshit Naidu 48 38 0 26 May 2022
Fair Representation Learning through Implicit Path Alignment Changjian Shui Qi Chen Jiaqi Li Boyu Wang Christian Gagné 45 28 0 26 May 2022
Toward Understanding Bias Correlations for Mitigation in NLP Lu Cheng Suyu Ge Huan Liu 39 8 0 24 May 2022
Fairness in Recommender Systems: Research Landscape and Future Directions Yashar Deldjoo Dietmar Jannach Alejandro Bellogín Alessandro Difonzo Dario Zanzonelli OffRL FaML 94 82 0 23 May 2022
Survey on Fair Reinforcement Learning: Theory and Practice Pratik Gajane A. Saxena M. Tavakol George Fletcher Mykola Pechenizkiy FaML OffRL 40 13 0 20 May 2022
CertiFair: A Framework for Certified Global Fairness of Neural Networks Haitham Khedr Yasser Shoukry FedML 28 20 0 20 May 2022
What Is Fairness? On the Role of Protected Attributes and Fictitious Worlds Ludwig Bothmann Kristina Peters Bernd Bischl 24 5 0 19 May 2022
On Demographic Bias in Fingerprint Recognition Akash Godbole Steven A. Grosz Karthik Nandakumar A.K. Jain 41 7 0 19 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 4 0 18 May 2022
Multi-disciplinary fairness considerations in machine learning for clinical trials Isabel Chien Nina Deliu Richard Turner Adrian Weller S. Villar Niki Kilbertus FaML 39 20 0 18 May 2022
Fair and Green Hyperparameter Optimization via Multi-objective and Multiple Information Source Bayesian Optimization Antonio Candelieri Andrea Ponti Francesco Archetti 33 16 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
A Survey on Semantics in Automated Data Science Udayan Khurana Kavitha Srinivas Horst Samulowitz 31 3 0 16 May 2022
Trustworthy Graph Neural Networks: Aspects, Methods and Trends He Zhang Bang Wu Xingliang Yuan Shirui Pan Hanghang Tong Jian Pei 47 104 0 16 May 2022
Fairness and Explainability in Automatic Decision-Making Systems. A challenge for computer science and law Thierry Kirat Olivia Tambou Virginie Do A. Tsoukiás FaML 26 12 0 14 May 2022
Efficient Learning of Interpretable Classification Rules Bishwamittra Ghosh Dmitry Malioutov Kuldeep S. Meel 26 7 0 14 May 2022
A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities Yisheng Song Ting-Yuan Wang S. Mondal J. P. Sahoo SLR 59 345 0 13 May 2022
The Different Faces of AI Ethics Across the World: A Principle-Implementation Gap Analysis L. Tidjon Foutse Khomh 22 7 0 12 May 2022
"There Is Not Enough Information": On the Effects of Explanations on Perceptions of Informational Fairness and Trustworthiness in Automated Decision-Making Jakob Schoeffer Niklas Kuehl Yvette Machowski FaML 39 52 0 11 May 2022
Bias and Fairness on Multimodal Emotion Detection Algorithms Matheus Schmitz Rehan Ahmed Jim Cao FaML 68 12 0 11 May 2022
How Platform-User Power Relations Shape Algorithmic Accountability: A Case Study of Instant Loan Platforms and Financially Stressed Users in India Divya Ramesh Vaishnav Kameswaran Ding-wen Wang Nithya Sambasivan 30 35 0 11 May 2022
A Survey on Fairness for Machine Learning on Graphs Charlotte Laclau C. Largeron Manvi Choudhary FaML 15 23 0 11 May 2022
User Guide for KOTE: Korean Online Comments Emotions Dataset Duyoung Jeon Junho Lee Cheongtag Kim 54 0 0 11 May 2022
Towards a multi-stakeholder value-based assessment framework for algorithmic systems Mireia Yurrita Dave Murray-Rust Agathe Balayn A. Bozzon MLAU 33 29 0 09 May 2022
Towards Racially Unbiased Skin Tone Estimation via Scene Disambiguation Haiwen Feng Timo Bolkart J. Tesch Michael J. Black Victoria Fernandez-Abrevaya 26 39 0 08 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 24 6 0 08 May 2022
The Road to Explainability is Paved with Bias: Measuring the Fairness of Explanations Aparna Balagopalan Haoran Zhang Kimia Hamidieh Thomas Hartvigsen Frank Rudzicz Marzyeh Ghassemi 45 78 0 06 May 2022