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
Explainable AI (XAI): A Systematic Meta-Survey of Current Challenges and Future Opportunities Waddah Saeed C. Omlin XAI 36 414 0 11 Nov 2021
Unified Group Fairness on Federated Learning Fengda Zhang Kun Kuang Yuxuan Liu Long Chen Chao-Xiang Wu Fei Wu Jiaxun Lu Yunfeng Shao Jun Xiao FedML 63 20 0 09 Nov 2021
Increasing Fairness in Predictions Using Bias Parity Score Based Loss Function Regularization Bhanu Jain M. Huber R. Elmasri 25 1 0 05 Nov 2021
Modeling Techniques for Machine Learning Fairness: A Survey Mingyang Wan Daochen Zha Ninghao Liu Na Zou SyDa FaML 30 36 0 04 Nov 2021
Towards Fairness-Aware Federated Learning Yuxin Shi Han Yu Cyril Leung FedML 21 79 0 02 Nov 2021
On the Current and Emerging Challenges of Developing Fair and Ethical AI Solutions in Financial Services Eren Kurshan Jiahao Chen Victor Storchan Hongda Shen FaML AIFin 32 9 0 02 Nov 2021
Deep AUC Maximization for Medical Image Classification: Challenges and Opportunities Tianbao Yang 30 3 0 01 Nov 2021
Statistical quantification of confounding bias in predictive modelling T. Spisák 11 5 0 01 Nov 2021
Calibrating Explore-Exploit Trade-off for Fair Online Learning to Rank Yiling Jia Hongning Wang FaML OnRL 31 2 0 01 Nov 2021
Selective Regression Under Fairness Criteria Abhin Shah Yuheng Bu Joshua K. Lee Subhro Das Yikang Shen P. Sattigeri G. Wornell 22 27 0 28 Oct 2021
Fair Incentives for Repeated Engagement Daniel Freund Chamsi Hssaine 11 1 0 28 Oct 2021
Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods Derek Lim Felix Hohne Xiuyu Li Sijia Huang Vaishnavi Gupta Omkar Bhalerao Ser-Nam Lim 61 338 0 27 Oct 2021
Adaptive Data Debiasing through Bounded Exploration Yifan Yang Yang Liu Parinaz Naghizadeh FaML 30 7 0 25 Oct 2021
Group-disentangled Representation Learning with Weakly-Supervised Regularization Linh-Tam Tran Amir Hosein Khasahmadi Aditya Sanghi Saeid Asgari Taghanaki DRL 34 1 0 23 Oct 2021
Statistical discrimination in learning agents Edgar A. Duénez-Guzmán Kevin R. McKee Yiran Mao Ben Coppin Silvia Chiappa ... Yoram Bachrach Suzanne Sadedin William S. Isaac K. Tuyls Joel Z Leibo 42 7 0 21 Oct 2021
A Fine-Grained Analysis on Distribution Shift Olivia Wiles Sven Gowal Florian Stimberg Sylvestre-Alvise Rebuffi Ira Ktena Krishnamurthy Dvijotham A. Cemgil OOD 233 203 0 21 Oct 2021
Learning Rich Nearest Neighbor Representations from Self-supervised Ensembles Bram Wallace Devansh Arpit Huan Wang Caiming Xiong SSL OOD 30 0 0 19 Oct 2021
Developing a novel fair-loan-predictor through a multi-sensitive debiasing pipeline: DualFair Ashutosh Kumar Singh Jashandeep Singh Ariba Khan Amar Gupta FaML 21 3 0 17 Oct 2021
Poisoning Attacks on Fair Machine Learning Minh-Hao Van Wei Du Xintao Wu Aidong Lu AAML 6 23 0 17 Oct 2021
Detecting Gender Bias in Transformer-based Models: A Case Study on BERT Bingbing Li Hongwu Peng Rajat Sainju Junhuan Yang Lei Yang Yueying Liang Weiwen Jiang Binghui Wang Hang Liu Caiwen Ding 27 12 0 15 Oct 2021
Rule Induction in Knowledge Graphs Using Linear Programming S. Dash Joao Goncalves 26 5 0 15 Oct 2021
IB-GAN: A Unified Approach for Multivariate Time Series Classification under Class Imbalance Grace Deng Cuize Han T. Dreossi Clarence Lee David S. Matteson AI4TS 31 8 0 14 Oct 2021
Pre-trained Language Models in Biomedical Domain: A Systematic Survey Benyou Wang Qianqian Xie Jiahuan Pei Zhihong Chen Prayag Tiwari Zhao Li Jie Fu LM&MA AI4CE 37 163 0 11 Oct 2021
Measure Twice, Cut Once: Quantifying Bias and Fairness in Deep Neural Networks Cody Blakeney G. Atkinson Nathaniel Huish Yan Yan V. Metsis Ziliang Zong 16 3 0 08 Oct 2021
Which Shortcut Cues Will DNNs Choose? A Study from the Parameter-Space Perspective Luca Scimeca Seong Joon Oh Sanghyuk Chun Michael Poli Sangdoo Yun OOD 394 49 0 06 Oct 2021
Machine Learning Practices Outside Big Tech: How Resource Constraints Challenge Responsible Development Aspen K. Hopkins Serena Booth 29 45 0 06 Oct 2021
KNOT: Knowledge Distillation using Optimal Transport for Solving NLP Tasks Rishabh Bhardwaj Tushar Vaidya Soujanya Poria OT FedML 65 7 0 06 Oct 2021
Foundations of Symbolic Languages for Model Interpretability Marcelo Arenas Daniel Baez Pablo Barceló Jorge A. Pérez Bernardo Subercaseaux ReLM LRM 21 24 0 05 Oct 2021
Deep Neural Networks and Tabular Data: A Survey V. Borisov Tobias Leemann Kathrin Seßler Johannes Haug Martin Pawelczyk Gjergji Kasneci LMTD 45 648 0 05 Oct 2021
Trustworthy AI: From Principles to Practices Bo-wen Li Peng Qi Bo Liu Shuai Di Jingen Liu Jiquan Pei Jinfeng Yi Bowen Zhou 119 356 0 04 Oct 2021
FairMask: Better Fairness via Model-based Rebalancing of Protected Attributes Kewen Peng Joymallya Chakraborty Tim Menzies FaML 43 29 0 03 Oct 2021
Enhancing Model Robustness and Fairness with Causality: A Regularization Approach Zhao Wang Kai Shu A. Culotta OOD 21 14 0 03 Oct 2021
A survey on datasets for fairness-aware machine learning Tai Le Quy Arjun Roy Vasileios Iosifidis Wenbin Zhang Eirini Ntoutsi FaML 11 239 0 01 Oct 2021
Assessing Algorithmic Biases for Musical Version Identification Furkan Yesiler M. Miron Joan Serrà Emilia Gómez MLAU 17 1 0 30 Sep 2021
Explainability Pitfalls: Beyond Dark Patterns in Explainable AI Upol Ehsan Mark O. Riedl XAI SILM 59 58 0 26 Sep 2021
Equality of opportunity in travel behavior prediction with deep neural networks and discrete choice models Yunhan Zheng Shenhao Wang Jinhuan Zhao HAI 24 27 0 25 Sep 2021
Fast and Efficient MMD-based Fair PCA via Optimization over Stiefel Manifold Junghyun Lee Gwangsun Kim Matt Olfat M. Hasegawa-Johnson Chang D. Yoo 20 16 0 23 Sep 2021
Toward a Fairness-Aware Scoring System for Algorithmic Decision-Making Yi Yang Ying Nian Wu Mei Li Xiangyu Chang Yong Tan FaML 18 0 0 21 Sep 2021
Actionable Approaches to Promote Ethical AI in Libraries Helen Bubinger J. Dinneen 8 11 0 20 Sep 2021
Algorithmic Fairness Verification with Graphical Models Bishwamittra Ghosh D. Basu Kuldeep S. Meel FaML 24 18 0 20 Sep 2021
Model-Based Approach for Measuring the Fairness in ASR Zhe Liu Irina-Elena Veliche Fuchun Peng 47 22 0 19 Sep 2021
Adversarial Scrubbing of Demographic Information for Text Classification Somnath Basu Roy Chowdhury Sayan Ghosh Yiyuan Li Junier B. Oliva Shashank Srivastava Snigdha Chaturvedi 42 14 0 17 Sep 2021
Subtle Data Crimes: Naively training machine learning algorithms could lead to overly-optimistic results Efrat Shimron Jonathan I. Tamir Ke Wang Michael Lustig AI4CE 21 11 0 16 Sep 2021
Mitigating Sampling Bias and Improving Robustness in Active Learning R. Krishnan Alok Sinha Nilesh A. Ahuja Mahesh Subedar Omesh Tickoo R. Iyer 13 9 0 13 Sep 2021
FaiREO: User Group Fairness for Equality of Opportunity in Course Recommendation Agoritsa Polyzou Maria Kalantzi George Karypis FaML 20 5 0 13 Sep 2021
FedFair: Training Fair Models In Cross-Silo Federated Learning Lingyang Chu Lanjun Wang Yanjie Dong J. Pei Zirui Zhou Yong Zhang FedML 58 40 0 13 Sep 2021
Feature-based Individual Fairness in k-Clustering Debajyoti Kar Mert Kosan Debmalya Mandal Sourav Medya A. Silva P. Dey Swagato Sanyal FaML 39 10 0 09 Sep 2021
Attributing Fair Decisions with Attention Interventions Ninareh Mehrabi Umang Gupta Fred Morstatter Greg Ver Steeg Aram Galstyan 32 21 0 08 Sep 2021
Collecting a Large-Scale Gender Bias Dataset for Coreference Resolution and Machine Translation Shahar Levy Koren Lazar Gabriel Stanovsky 31 64 0 08 Sep 2021
Amazon SageMaker Clarify: Machine Learning Bias Detection and Explainability in the Cloud Michaela Hardt Xiaoguang Chen Xiaoyi Cheng Michele Donini J. Gelman ... Muhammad Bilal Zafar Sanjiv Ranjan Das Kevin Haas Tyler Hill K. Kenthapadi ELM FaML 36 42 0 07 Sep 2021