A Survey on Bias and Fairness in Machine Learning

23 August 2019

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

50 / 1,614 papers shown

Title
RELIANT: Fair Knowledge Distillation for Graph Neural Networks Yushun Dong Binchi Zhang Yiling Yuan Na Zou Qi Wang Jundong Li 85 13 0 03 Jan 2023
Digital Engineering Transformation with Trustworthy AI towards Industry 4.0: Emerging Paradigm Shifts Jingwei Huang AI4CE 52 3 0 03 Jan 2023
Explainable AI for Bioinformatics: Methods, Tools, and Applications Md. Rezaul Karim Tanhim Islam Oya Beyan Christoph Lange Michael Cochez Dietrich-Rebholz Schuhmann Stefan Decker 34 68 0 25 Dec 2022
A Seven-Layer Model for Standardising AI Fairness Assessment A. K. Agarwal Harshna Agarwal 28 0 0 21 Dec 2022
Consistent Range Approximation for Fair Predictive Modeling Jiongli Zhu Sainyam Galhotra Nazanin Sabri Babak Salimi 35 10 0 21 Dec 2022
Towards Assessing Data Bias in Clinical Trials C. Criscuolo Tommaso Dolci Mattia Salnitri 17 2 0 19 Dec 2022
A Review of Speech-centric Trustworthy Machine Learning: Privacy, Safety, and Fairness Tiantian Feng Rajat Hebbar Nicholas Mehlman Xuan Shi Aditya Kommineni and Shrikanth Narayanan 48 31 0 18 Dec 2022
Efficient Conditionally Invariant Representation Learning Roman Pogodin Namrata Deka Yazhe Li Danica J. Sutherland Victor Veitch Arthur Gretton BDL OOD CML 46 16 0 16 Dec 2022
POTATO: The Portable Text Annotation Tool Jiaxin Pei Aparna Ananthasubramaniam Xingyao Wang Naitian Zhou Jackson Sargent Apostolos Dedeloudis David Jurgens VLM 27 58 0 16 Dec 2022
Provable Fairness for Neural Network Models using Formal Verification Giorgian Borca-Tasciuc Xingzhi Guo Stanley Bak Steven Skiena 35 4 0 16 Dec 2022
Measuring Annotator Agreement Generally across Complex Structured, Multi-object, and Free-text Annotation Tasks Alexander Braylan Omar Alonso Matthew Lease 11 17 0 15 Dec 2022
Manifestations of Xenophobia in AI Systems Nenad Tomašev J. L. Maynard Iason Gabriel 26 9 0 15 Dec 2022
The effects of gender bias in word embeddings on depression prediction Gizem Sogancioglu Heysem Kaya 32 3 0 15 Dec 2022
Dissecting Distribution Inference Anshuman Suri Yifu Lu Yanjin Chen David Evans 30 14 0 15 Dec 2022
On Text-based Personality Computing: Challenges and Future Directions Qixiang Fang Anastasia Giachanou A. Bagheri L. Boeschoten E. V. Kesteren Mahdi Shafiee Kamalabad Daniel L. Oberski 31 7 0 13 Dec 2022
Artificial intelligence technologies to support research assessment: A review K. Kousha M. Thelwall 30 5 0 11 Dec 2022
Training Data Influence Analysis and Estimation: A Survey Zayd Hammoudeh Daniel Lowd TDI 34 84 0 09 Dec 2022
Harnessing the Power of Multi-Task Pretraining for Ground-Truth Level Natural Language Explanations Björn Plüster Jakob Ambsdorf Lukas Braach Jae Hee Lee S. Wermter 33 6 0 08 Dec 2022
Going Beyond XAI: A Systematic Survey for Explanation-Guided Learning Yuyang Gao Siyi Gu Junji Jiang S. Hong Dazhou Yu Liang Zhao 34 39 0 07 Dec 2022
Fairness and Explainability: Bridging the Gap Towards Fair Model Explanations Yuying Zhao Yu-Chiang Frank Wang Tyler Derr FaML 43 13 0 07 Dec 2022
Leveraging Structure for Improved Classification of Grouped Biased Data Daniel Zeiberg Shantanu Jain P. Radivojac 33 2 0 07 Dec 2022
Towards a Taxonomy for the Use of Synthetic Data in Advanced Analytics Peter Kowalczyk Giacomo Welsch Frédéric Thiesse 41 2 0 05 Dec 2022
Beyond Interpretable Benchmarks: Contextual Learning through Cognitive and Multimodal Perception Nick DiSanto ELM 25 0 0 04 Dec 2022
Fairness in Contextual Resource Allocation Systems: Metrics and Incompatibility Results Nathanael Jo Bill Tang Kathryn Dullerud S. Aghaei Eric Rice P. Vayanos 13 7 0 04 Dec 2022
Towards Robust NLG Bias Evaluation with Syntactically-diverse Prompts Arshiya Aggarwal Jiao Sun Nanyun Peng 17 6 0 03 Dec 2022
The Grind for Good Data: Understanding ML Practitioners' Struggles and Aspirations in Making Good Data Inha Cha Juhyun Oh Cheul Young Park Jiyoon Han Hwalsuk Lee 39 2 0 28 Nov 2022
"Explain it in the Same Way!" -- Model-Agnostic Group Fairness of Counterfactual Explanations André Artelt Barbara Hammer FaML 33 8 0 27 Nov 2022
Interpreting Unfairness in Graph Neural Networks via Training Node Attribution Yushun Dong Song Wang Jing Ma Ninghao Liu Jundong Li 44 21 0 25 Nov 2022
Wild-Time: A Benchmark of in-the-Wild Distribution Shift over Time Huaxiu Yao Caroline Choi Bochuan Cao Yoonho Lee Pang Wei Koh Chelsea Finn OOD 27 75 0 25 Nov 2022
Invariance-Aware Randomized Smoothing Certificates Jan Schuchardt Stephan Günnemann AAML 30 5 0 25 Nov 2022
Melting Pot 2.0 J. Agapiou A. Vezhnevets Edgar A. Duénez-Guzmán Jayd Matyas Yiran Mao ... Sukhdeep Singh Julia Haas Igor Mordatch D. Mobbs Joel Z Leibo 45 32 0 24 Nov 2022
Beyond Mahalanobis-Based Scores for Textual OOD Detection Pierre Colombo Eduardo Dadalto Camara Gomes Guillaume Staerman Nathan Noiry Pablo Piantanida OODD 59 5 0 24 Nov 2022
Multi-Job Intelligent Scheduling with Cross-Device Federated Learning Ji Liu Juncheng Jia Beichen Ma Chen Zhou Jingbo Zhou Yang Zhou H. Dai Dejing Dou FedML 43 24 0 24 Nov 2022
A Brief Overview of AI Governance for Responsible Machine Learning Systems Navdeep Gill Abhishek Mathur Marcos V. Conde 29 5 0 21 Nov 2022
Equality of Effort via Algorithmic Recourse Francesca Raimondi A. Lawrence Hana Chockler 32 1 0 21 Nov 2022
Fairness Increases Adversarial Vulnerability Cuong Tran Keyu Zhu Ferdinando Fioretto Pascal Van Hentenryck 36 6 0 21 Nov 2022
FAF: A novel multimodal emotion recognition approach integrating face, body and text Zhongyu Fang Aoyun He Qihui Yu Baopeng Gao Weiping Ding Tong Zhang Lei Ma CVBM 19 3 0 20 Nov 2022
ArtELingo: A Million Emotion Annotations of WikiArt with Emphasis on Diversity over Language and Culture Youssef Mohamed Mohamed AbdelFattah Shyma Alhuwaider Feifan Li Xiangliang Zhang Kenneth Church Mohamed Elhoseiny VLM 24 14 0 19 Nov 2022
On the Alignment of Group Fairness with Attribute Privacy Jan Aalmoes Vasisht Duddu A. Boutet 43 2 0 18 Nov 2022
FairMILE: Towards an Efficient Framework for Fair Graph Representation Learning Yuntian He Saket Gurukar Srinivas Parthasarathy FaML 29 3 0 17 Nov 2022
Scalar Invariant Networks with Zero Bias Chuqin Geng Xiaojie Xu Haolin Ye X. Si 26 1 0 15 Nov 2022
MMD-B-Fair: Learning Fair Representations with Statistical Testing Namrata Deka Danica J. Sutherland 25 7 0 15 Nov 2022
ET-AL: Entropy-Targeted Active Learning for Bias Mitigation in Materials Data Hengrui Zhang Wei Chen J. Rondinelli Wei Chen AI4CE 24 17 0 15 Nov 2022
QueryForm: A Simple Zero-shot Form Entity Query Framework Zifeng Wang Zizhao Zhang Jacob Devlin Chen-Yu Lee Guolong Su Hao Zhang Jennifer Dy Vincent Perot Tomas Pfister 27 8 0 14 Nov 2022
Imagination is All You Need! Curved Contrastive Learning for Abstract Sequence Modeling Utilized on Long Short-Term Dialogue Planning Justus-Jonas Erker Stefan Schaffer Gerasimos Spanakis 13 1 0 14 Nov 2022
Explainer Divergence Scores (EDS): Some Post-Hoc Explanations May be Effective for Detecting Unknown Spurious Correlations Shea Cardozo Gabriel Islas Montero Dmitry Kazhdan B. Dimanov Maleakhi A. Wijaya M. Jamnik Pietro Lio AAML 30 0 0 14 Nov 2022
Modular Clinical Decision Support Networks (MoDN) -- Updatable, Interpretable, and Portable Predictions for Evolving Clinical Environments contributors Maxime Trottet Thijs Vogels Martin Jaggi Mary-Anne Hartley 10 2 0 12 Nov 2022
RISE: Robust Individualized Decision Learning with Sensitive Variables Xiaoqing Ellen Tan Zhengling Qi C. Seymour Lu Tang OffRL 26 8 0 12 Nov 2022
Casual Conversations v2: Designing a large consent-driven dataset to measure algorithmic bias and robustness C. Hazirbas Yejin Bang Tiezheng Yu Parisa Assar Bilal Porgali ... Jacqueline Pan Emily McReynolds Miranda Bogen Pascale Fung Cristian Canton Ferrer 42 8 0 10 Nov 2022
Debiasing Methods for Fairer Neural Models in Vision and Language Research: A Survey Otávio Parraga Martin D. Móre C. M. Oliveira Nathan Gavenski L. S. Kupssinskü Adilson Medronha L. V. Moura Gabriel S. Simões Rodrigo C. Barros 50 11 0 10 Nov 2022