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
Tackling Racial Bias in Automated Online Hate Detection: Towards Fair and Accurate Classification of Hateful Online Users Using Geometric Deep Learning Zo Ahmed Bertie Vidgen Scott A. Hale 8 3 0 22 Mar 2021
Blockchain-based Digital Twins: Research Trends, Issues, and Future Challenges S. Suhail Rasheed Hussain Raja Jurdak A. Oracevic K. Salah Raimundas Matulevičius Choong Seon Hong AI4CE 27 83 0 22 Mar 2021
Responsible AI: Gender bias assessment in emotion recognition Artem Domnich G. Anbarjafari 16 48 0 21 Mar 2021
Lawyers are Dishonest? Quantifying Representational Harms in Commonsense Knowledge Resources Ninareh Mehrabi Pei Zhou Fred Morstatter Jay Pujara Xiang Ren Aram Galstyan AILaw 11 44 0 21 Mar 2021
Hidden Technical Debts for Fair Machine Learning in Financial Services Chong Huang Arash Nourian Kevin Griest FaML 11 2 0 18 Mar 2021
Predicting Early Dropout: Calibration and Algorithmic Fairness Considerations Marzieh Karimi-Haghighi Carlos Castillo Davinia Hernández Leo Verónica Moreno Oliver FaML 19 6 0 16 Mar 2021
RAWLSNET: Altering Bayesian Networks to Encode Rawlsian Fair Equality of Opportunity David Liu Zohair Shafi W. Fleisher Tina Eliassi-Rad Scott Alfeld 16 9 0 16 Mar 2021
AI Fairness via Domain Adaptation Neil J. Joshi Philippe Burlina 21 15 0 15 Mar 2021
Robust Model Compression Using Deep Hypotheses Omri Armstrong Ran Gilad-Bachrach OOD 11 2 0 13 Mar 2021
Wasserstein Robust Classification with Fairness Constraints Yijie Wang Viet Anh Nguyen G. A. Hanasusanto OOD 17 10 0 11 Mar 2021
Interpretable bias mitigation for textual data: Reducing gender bias in patient notes while maintaining classification performance J. Minot N. Cheney Marc E. Maier Danne C. Elbers C. Danforth P. Dodds FaML 20 3 0 10 Mar 2021
WordBias: An Interactive Visual Tool for Discovering Intersectional Biases Encoded in Word Embeddings Bhavya Ghai Md. Naimul Hoque Klaus Mueller 29 26 0 05 Mar 2021
Evaluating Robustness of Counterfactual Explanations André Artelt Valerie Vaquet Riza Velioglu Fabian Hinder Johannes Brinkrolf M. Schilling Barbara Hammer 11 46 0 03 Mar 2021
The KL-Divergence between a Graph Model and its Fair I-Projection as a Fairness Regularizer Maarten Buyl T. D. Bie 14 24 0 02 Mar 2021
Median Optimal Treatment Regimes Liu Leqi Edward H. Kennedy 38 8 0 02 Mar 2021
Snowflake: Scaling GNNs to High-Dimensional Continuous Control via Parameter Freezing Charlie Blake Vitaly Kurin Maximilian Igl Shimon Whiteson AI4CE 18 13 0 01 Mar 2021
On the Fairness of Generative Adversarial Networks (GANs) Patrik Kenfack Daniil Dmitrievich Arapovy Rasheed Hussain S. M. Ahsan Kazmi A. Khan GAN 20 21 0 01 Mar 2021
Towards Personalized Federated Learning A. Tan Han Yu Li-zhen Cui Qiang Yang FedML AI4CE 209 840 0 01 Mar 2021
Towards Unbiased and Accurate Deferral to Multiple Experts Vijay Keswani Matthew Lease K. Kenthapadi FaML 8 67 0 25 Feb 2021
Directional Bias Amplification Angelina Wang Olga Russakovsky 19 65 0 24 Feb 2021
A Stochastic Optimization Framework for Fair Risk Minimization Andrew Lowy Sina Baharlouei Rakesh Pavan Meisam Razaviyayn Ahmad Beirami FaML 27 21 0 24 Feb 2021
Towards the Right Kind of Fairness in AI Boris Ruf Marcin Detyniecki 55 26 0 16 Feb 2021
MIMIC-IF: Interpretability and Fairness Evaluation of Deep Learning Models on MIMIC-IV Dataset Chuizheng Meng Loc Trinh Nan Xu Yan Liu 24 30 0 12 Feb 2021
Fair Robust Assignment using Redundancy Matthew Malencia Vijay Kumar George Pappas Amanda Prorok 15 11 0 11 Feb 2021
SelfHAR: Improving Human Activity Recognition through Self-training with Unlabeled Data Chi Ian Tang I. Perez-Pozuelo Dimitris Spathis S. Brage N. Wareham Cecilia Mascolo SSL HAI VLM 24 90 0 11 Feb 2021
Fairness-Aware PAC Learning from Corrupted Data Nikola Konstantinov Christoph H. Lampert 11 17 0 11 Feb 2021
Fairness Through Regularization for Learning to Rank Nikola Konstantinov Christoph H. Lampert FaML 19 10 0 11 Feb 2021
A Ranking Approach to Fair Classification Jakob Schoeffer Niklas Kuehl Isabel Valera FaML 16 7 0 08 Feb 2021
Learning to Generate Fair Clusters from Demonstrations Sainyam Galhotra Sandhya Saisubramanian S. Zilberstein FaML 29 9 0 08 Feb 2021
Removing biased data to improve fairness and accuracy Sahil Verma Michael Ernst René Just FaML 16 24 0 05 Feb 2021
HYDRA: Hypergradient Data Relevance Analysis for Interpreting Deep Neural Networks Yuanyuan Chen Boyang Albert Li Han Yu Pengcheng Wu Chunyan Miao TDI 19 39 0 04 Feb 2021
EUCA: the End-User-Centered Explainable AI Framework Weina Jin Jianyu Fan D. Gromala Philippe Pasquier Ghassan Hamarneh 40 24 0 04 Feb 2021
BeFair: Addressing Fairness in the Banking Sector Alessandro Castelnovo Riccardo Crupi Giulia Del Gamba Greta Greco A. Naseer D. Regoli Beatriz San Miguel González FaML 23 16 0 03 Feb 2021
Fairness through Social Welfare Optimization V. Chen J. N. Hooker 24 1 0 30 Jan 2021
Disparate Impact Diminishes Consumer Trust Even for Advantaged Users Tim Draws Zoltán Szlávik Benjamin Timmermans N. Tintarev Kush R. Varshney Michael Hind FaML 13 5 0 29 Jan 2021
Exploring Deep Neural Networks via Layer-Peeled Model: Minority Collapse in Imbalanced Training Cong Fang Hangfeng He Qi Long Weijie J. Su FAtt 130 165 0 29 Jan 2021
Choice modelling in the age of machine learning -- discussion paper S. Cranenburgh S. Wang A. Vij Francisco Câmara Pereira J. Walker 28 88 0 28 Jan 2021
BOLD: Dataset and Metrics for Measuring Biases in Open-Ended Language Generation Jwala Dhamala Tony Sun Varun Kumar Satyapriya Krishna Yada Pruksachatkun Kai-Wei Chang Rahul Gupta 11 371 0 27 Jan 2021
Re-imagining Algorithmic Fairness in India and Beyond Nithya Sambasivan Erin Arnesen Ben Hutchinson Tulsee Doshi Vinodkumar Prabhakaran FaML 17 174 0 25 Jan 2021
Through the Data Management Lens: Experimental Analysis and Evaluation of Fair Classification Maliha Tashfia Islam Anna Fariha A. Meliou Babak Salimi FaML 30 24 0 18 Jan 2021
Explainability of deep vision-based autonomous driving systems: Review and challenges Éloi Zablocki H. Ben-younes P. Pérez Matthieu Cord XAI 39 169 0 13 Jan 2021
Controllable Guarantees for Fair Outcomes via Contrastive Information Estimation Umang Gupta Aaron Ferber B. Dilkina Greg Ver Steeg 34 53 0 11 Jan 2021
Characterizing Intersectional Group Fairness with Worst-Case Comparisons A. Ghosh Lea Genuit Mary Reagan FaML 94 51 0 05 Jan 2021
Socially Responsible AI Algorithms: Issues, Purposes, and Challenges Lu Cheng Kush R. Varshney Huan Liu FaML 25 145 0 01 Jan 2021
BENN: Bias Estimation Using Deep Neural Network Amit Giloni Edita Grolman Tanja Hagemann Ronald Fromm Sebastian Fischer Yuval Elovici A. Shabtai 11 2 0 23 Dec 2020
Genetic Adversarial Training of Decision Trees Francesco Ranzato Marco Zanella 19 14 0 21 Dec 2020
Exacerbating Algorithmic Bias through Fairness Attacks Ninareh Mehrabi Muhammad Naveed Fred Morstatter Aram Galstyan AAML 28 67 0 16 Dec 2020
WILDS: A Benchmark of in-the-Wild Distribution Shifts Pang Wei Koh Shiori Sagawa Henrik Marklund Sang Michael Xie Marvin Zhang ... A. Kundaje Emma Pierson Sergey Levine Chelsea Finn Percy Liang OOD 50 1,373 0 14 Dec 2020
TARA: Training and Representation Alteration for AI Fairness and Domain Generalization William Paul Armin Hadzic Neil J. Joshi F. Alajaji Philippe Burlina 23 19 0 11 Dec 2020
Fairness in Rating Prediction by Awareness of Verbal and Gesture Quality of Public Speeches Ankani Chattoraj Rupam Acharyya Shouman Das Md. Iftekhar Tanveer E. Hoque 28 0 0 11 Dec 2020