A Survey on Bias and Fairness in Machine Learning

23 August 2019

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

50 / 1,613 papers shown

Title
Synthetic Data -- what, why and how? James Jordon Lukasz Szpruch F. Houssiau M. Bottarelli Giovanni Cherubin Carsten Maple Samuel N. Cohen Adrian Weller 51 109 0 06 May 2022
Theories of "Gender" in NLP Bias Research Hannah Devinney Jenny Björklund H. Björklund AI4CE 20 66 0 05 May 2022
AI-Driven Contextual Advertising: A Technology Report and Implication Analysis E. Häglund J. Björklund SSeg 11 3 0 02 May 2022
Fair Feature Subset Selection using Multiobjective Genetic Algorithm A. Rehman Anas Nadeem Muhammad Zubair Malik FaML 33 8 0 30 Apr 2022
FairSR: Fairness-aware Sequential Recommendation through Multi-Task Learning with Preference Graph Embeddings Cheng-Te Li Cheng-Mao Hsu Yang Zhang FaML 27 35 0 30 Apr 2022
Joint Multisided Exposure Fairness for Recommendation Haolun Wu Bhaskar Mitra Chen Ma Fernando Diaz Xue Liu FaML 16 64 0 29 Apr 2022
A Human-Centric Perspective on Fairness and Transparency in Algorithmic Decision-Making Jakob Schoeffer FaML 34 3 0 29 Apr 2022
Self-Aware Feedback-Based Self-Learning in Large-Scale Conversational AI Pragaash Ponnusamy Clint Solomon Mathialagan Gustavo Aguilar Chengyuan Ma Chenlei Guo 22 6 0 29 Apr 2022
Counterfactual harm Jonathan G. Richens R. Beard Daniel H. Thompson 34 27 0 27 Apr 2022
Landing AI on Networks: An equipment vendor viewpoint on Autonomous Driving Networks Dario Rossi Liang Zhang 36 13 0 26 Apr 2022
Balancing Fairness and Accuracy in Sentiment Detection using Multiple Black Box Models Abdulaziz A. Almuzaini V. Singh MLAU FaML 36 6 0 22 Apr 2022
A Sandbox Tool to Bias(Stress)-Test Fairness Algorithms Nil-Jana Akpinar Manish Nagireddy Logan Stapleton H. Cheng Haiyi Zhu Steven Wu Hoda Heidari 36 14 0 21 Apr 2022
Fairness in Graph Mining: A Survey Yushun Dong Jing Ma Song Wang Chen Chen Jundong Li FaML 34 114 0 21 Apr 2022
Color Invariant Skin Segmentation Han Xu Abhijit Sarkar A. L. Abbott VLM 19 11 0 21 Apr 2022
The Risks of Machine Learning Systems Samson Tan Araz Taeihagh K. Baxter 17 5 0 21 Apr 2022
Generalizing to the Future: Mitigating Entity Bias in Fake News Detection Yongchun Zhu Qiang Sheng Juan Cao Shuokai Li Danding Wang Fuzhen Zhuang AI4CE 35 71 0 20 Apr 2022
Epistemic Uncertainty-Weighted Loss for Visual Bias Mitigation Rebecca S Stone Nishant Ravikumar A. Bulpitt David C. Hogg 37 14 0 20 Apr 2022
GAM(e) changer or not? An evaluation of interpretable machine learning models based on additive model constraints Patrick Zschech Sven Weinzierl Nico Hambauer Sandra Zilker Mathias Kraus 21 14 0 19 Apr 2022
A Comprehensive Survey on Trustworthy Graph Neural Networks: Privacy, Robustness, Fairness, and Explainability Enyan Dai Tianxiang Zhao Huaisheng Zhu Jun Xu Zhimeng Guo Hui Liu Jiliang Tang Suhang Wang 42 133 0 18 Apr 2022
The Equity Framework: Fairness Beyond Equalized Predictive Outcomes Keziah Naggita J. C. Aguma FaML 23 3 0 18 Apr 2022
CPFair: Personalized Consumer and Producer Fairness Re-ranking for Recommender Systems Mohammadmehdi Naghiaei Hossein A. Rahmani Yashar Deldjoo FaML 47 93 0 17 Apr 2022
Mitigating Bias in Facial Analysis Systems by Incorporating Label Diversity Camila Kolling Victor Araujo Adriano Veloso S. Musse 25 3 0 13 Apr 2022
Estimating Structural Disparities for Face Models Shervin Ardeshir Cristina Segalin Nathan Kallus CVBM 27 5 0 13 Apr 2022
VisCUIT: Visual Auditor for Bias in CNN Image Classifier Seongmin Lee Zijie J. Wang Judy Hoffman Duen Horng Chau 34 11 0 12 Apr 2022
Are Two Heads the Same as One? Identifying Disparate Treatment in Fair Neural Networks Michael Lohaus Matthäus Kleindessner K. Kenthapadi Francesco Locatello Chris Russell 14 12 0 09 Apr 2022
The Two Dimensions of Worst-case Training and the Integrated Effect for Out-of-domain Generalization Zeyi Huang Haohan Wang Dong Huang Yong Jae Lee Eric P. Xing 21 22 0 09 Apr 2022
Segmenting across places: The need for fair transfer learning with satellite imagery Miaohui Zhang Harvineet Singh Lazarus Chok R. Chunara 32 13 0 09 Apr 2022
Fair and Argumentative Language Modeling for Computational Argumentation Carolin Holtermann Anne Lauscher Simone Paolo Ponzetto 24 21 0 08 Apr 2022
ECCV Caption: Correcting False Negatives by Collecting Machine-and-Human-verified Image-Caption Associations for MS-COCO Sanghyuk Chun Wonjae Kim Song Park Minsuk Chang Seong Joon Oh VLM 378 43 0 07 Apr 2022
OccamNets: Mitigating Dataset Bias by Favoring Simpler Hypotheses Robik Shrestha Kushal Kafle Christopher Kanan CML 38 13 0 05 Apr 2022
Design Guidelines for Inclusive Speaker Verification Evaluation Datasets W. Hutiri Lauriane Gorce Aaron Yi Ding 24 7 0 05 Apr 2022
Automatic Image Content Extraction: Operationalizing Machine Learning in Humanistic Photographic Studies of Large Visual Archives Anssi Männistö Mert Seker Alexandros Iosifidis Jenni Raitoharju VLM 24 5 0 05 Apr 2022
Models and Mechanisms for Spatial Data Fairness Sina shaham Gabriel Ghinita Cyrus Shahabi 29 9 0 04 Apr 2022
Semi-FairVAE: Semi-supervised Fair Representation Learning with Adversarial Variational Autoencoder Chuhan Wu Fangzhao Wu Tao Qi Yongfeng Huang DRL 16 3 0 01 Apr 2022
Learning Fair Models without Sensitive Attributes: A Generative Approach Huaisheng Zhu Suhang Wang FaML 39 10 0 30 Mar 2022
Longitudinal Fairness with Censorship Wenbin Zhang Jeremy C. Weiss 25 40 0 30 Mar 2022
AUC Maximization in the Era of Big Data and AI: A Survey Tianbao Yang Yiming Ying 44 179 0 28 Mar 2022
Large-scale Bilingual Language-Image Contrastive Learning ByungSoo Ko Geonmo Gu VLM 32 14 0 28 Mar 2022
Repairing Group-Level Errors for DNNs Using Weighted Regularization Ziyuan Zhong Yuchi Tian Conor J. Sweeney Vicente Ordonez Baishakhi Ray 16 0 0 24 Mar 2022
Continual Learning and Private Unlearning B. Liu Qian Liu Peter Stone CLL MU 10 47 0 24 Mar 2022
Is Fairness Only Metric Deep? Evaluating and Addressing Subgroup Gaps in Deep Metric Learning Natalie Dullerud Karsten Roth Kimia Hamidieh Nicolas Papernot Marzyeh Ghassemi 37 15 0 23 Mar 2022
Improving the Fairness of Chest X-ray Classifiers Haoran Zhang Natalie Dullerud Karsten Roth Lauren Oakden-Rayner Stephen R. Pfohl Marzyeh Ghassemi 23 65 0 23 Mar 2022
A Prompt Array Keeps the Bias Away: Debiasing Vision-Language Models with Adversarial Learning Hugo Elias Berg S. Hall Yash Bhalgat Wonsuk Yang Hannah Rose Kirk Aleksandar Shtedritski Max Bain VLM 25 99 0 22 Mar 2022
Representation Bias in Data: A Survey on Identification and Resolution Techniques N. Shahbazi Yin Lin Abolfazl Asudeh H. V. Jagadish 48 69 0 22 Mar 2022
Towards Explainable Evaluation Metrics for Natural Language Generation Christoph Leiter Piyawat Lertvittayakumjorn M. Fomicheva Wei Zhao Yang Gao Steffen Eger AAML ELM 30 20 0 21 Mar 2022
Challenges and Strategies in Cross-Cultural NLP Daniel Hershcovich Stella Frank Heather Lent Miryam de Lhoneux Mostafa Abdou ... Ruixiang Cui Constanza Fierro Katerina Margatina Phillip Rust Anders Søgaard 48 163 0 18 Mar 2022
Why we need biased AI -- How including cognitive and ethical machine biases can enhance AI systems Sarah Fabi Thilo Hagendorff 30 12 0 18 Mar 2022
Promoting Ethical Awareness in Communication Analysis: Investigating Potentials and Limits of Visual Analytics for Intelligence Applications M. T. Fischer S. Hirsbrunner Wolfgang Jentner Matthias Miller Daniel A. Keim Paula Helm 21 5 0 18 Mar 2022
The price of unfairness in linear bandits with biased feedback Solenne Gaucher Alexandra Carpentier Christophe Giraud FaML 15 2 0 18 Mar 2022
Leveraging Adversarial Examples to Quantify Membership Information Leakage Ganesh Del Grosso Hamid Jalalzai Georg Pichler C. Palamidessi Pablo Piantanida MIACV 44 21 0 17 Mar 2022