A Survey on Bias and Fairness in Machine Learning

23 August 2019

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

50 / 1,615 papers shown

Title
Deep Reinforcement Learning for Efficient and Fair Allocation of Health Care Resources Yikuan Li Chengsheng Mao Kaixuan Huang Hanyin Wang Zheng Yu Mengdi Wang Yuan Luo OOD OffRL 32 1 0 15 Sep 2023
Mitigating Group Bias in Federated Learning for Heterogeneous Devices Khotso Selialia Yasra Chandio Fatima M. Anwar FedML 45 2 0 13 Sep 2023
Bayesian uncertainty-weighted loss for improved generalisability on polyp segmentation task Rebecca S Stone P. E. Chavarrias-Solano A. Bulpitt David C. Hogg Sharib Ali UQCV 54 0 0 13 Sep 2023
Learning Unbiased News Article Representations: A Knowledge-Infused Approach Sadia Kamal Jimmy Hartford Jeremy Willis A. Bagavathi 21 1 0 12 Sep 2023
Language Models as Black-Box Optimizers for Vision-Language Models Shihong Liu Zhiqiu Lin Samuel Yu Ryan Lee Tiffany Ling Deepak Pathak Deva Ramanan VLM 40 28 0 12 Sep 2023
Challenges in Annotating Datasets to Quantify Bias in Under-represented Society Vithya Yogarajan Gillian Dobbie Timothy Pistotti Joshua Bensemann Kobe Knowles 52 2 0 11 Sep 2023
Adapting Static Fairness to Sequential Decision-Making: Bias Mitigation Strategies towards Equal Long-term Benefit Rate Yuancheng Xu Chenghao Deng Yanchao Sun Ruijie Zheng Xiyao Wang Jieyu Zhao Furong Huang 40 4 0 07 Sep 2023
Framework-Based Qualitative Analysis of Free Responses of Large Language Models: Algorithmic Fidelity A. Amirova T. Fteropoulli Nafiso Ahmed Martin R. Cowie Joel Z Leibo 28 6 0 06 Sep 2023
Contrastive Learning as Kernel Approximation Konstantinos Christopher Tsiolis SSL 49 0 0 06 Sep 2023
In-processing User Constrained Dominant Sets for User-Oriented Fairness in Recommender Systems Zhongxuan Han Chaochao Chen Xiaolin Zheng Weiming Liu Jun Wang Wenjie Cheng Yuyuan Li FaML 42 4 0 04 Sep 2023
Bias Testing and Mitigation in LLM-based Code Generation Dong Huang Qingwen Bu Jie M. Zhang Xiaofei Xie Junjie Chen Heming Cui 51 21 0 03 Sep 2023
Fairness Implications of Heterogeneous Treatment Effect Estimation with Machine Learning Methods in Policy-making Patrick Rehill Nicholas Biddle SyDa CML 36 2 0 02 Sep 2023
Bias and Fairness in Large Language Models: A Survey Isabel O. Gallegos Ryan Rossi Joe Barrow Md Mehrab Tanjim Sungchul Kim Franck Dernoncourt Tong Yu Ruiyi Zhang Nesreen Ahmed AILaw 59 511 0 02 Sep 2023
Advancing Personalized Federated Learning: Group Privacy, Fairness, and Beyond Filippo Galli Kangsoo Jung Sayan Biswas C. Palamidessi Tommaso Cucinotta FedML 36 10 0 01 Sep 2023
Adaptation Speed Analysis for Fairness-aware Causal Models Yujie Lin Chen Zhao Minglai Shao Xujiang Zhao Haifeng Chen 33 4 0 31 Aug 2023
The Gender-GAP Pipeline: A Gender-Aware Polyglot Pipeline for Gender Characterisation in 55 Languages Benjamin Muller Belen Alastruey Prangthip Hansanti Elahe Kalbassi C. Ropers Eric Michael Smith Adina Williams Luke Zettlemoyer Pierre Yves Andrews Marta R. Costa-jussá 30 4 0 31 Aug 2023
One Model Many Scores: Using Multiverse Analysis to Prevent Fairness Hacking and Evaluate the Influence of Model Design Decisions Jan Simson Florian Pfisterer Christoph Kern 38 12 0 31 Aug 2023
iBARLE: imBalance-Aware Room Layout Estimation Taotao Jing Lichen Wang Naji Khosravan Zhiqiang Wan Zachary Bessinger Zhengming Ding S. B. Kang 49 1 0 29 Aug 2023
The Promise and Peril of Artificial Intelligence -- Violet Teaming Offers a Balanced Path Forward A. Titus Adam Russell 66 1 0 28 Aug 2023
An investigation into the impact of deep learning model choice on sex and race bias in cardiac MR segmentation Tiarna Lee Esther Puyol-Antón B. Ruijsink Keana Aitcheson Miaojing Shi A. King 43 9 0 25 Aug 2023
Augmenting medical image classifiers with synthetic data from latent diffusion models Luke Sagers James A. Diao Luke Melas-Kyriazi Matthew Groh Pranav Rajpurkar A. Adamson V. Rotemberg Roxana Daneshjou Arjun K. Manrai DiffM MedIm 33 14 0 23 Aug 2023
Trustworthy Representation Learning Across Domains Ronghang Zhu Dongliang Guo Daiqing Qi Zhixuan Chu Xiang Yu Sheng Li FaML AI4TS 62 2 0 23 Aug 2023
Collect, Measure, Repeat: Reliability Factors for Responsible AI Data Collection Oana Inel Tim Draws Lora Aroyo 57 6 0 22 Aug 2023
Targeted Data Augmentation for bias mitigation Agnieszka Mikołajczyk-Bareła M. Ferlin M. Grochowski 35 0 0 22 Aug 2023
A survey on bias in machine learning research Agnieszka Mikołajczyk-Bareła M. Grochowski AI4CE FaML 70 5 0 22 Aug 2023
ROSGPT_Vision: Commanding Robots Using Only Language Models' Prompts Bilel Benjdira Anis Koubaa Anas M. Ali LM&Ro 32 3 0 22 Aug 2023
Fairness Explainability using Optimal Transport with Applications in Image Classification Philipp Ratz Franccois Hu Arthur Charpentier 41 0 0 22 Aug 2023
GBM-based Bregman Proximal Algorithms for Constrained Learning Zhenwei Lin Qi Deng 33 1 0 21 Aug 2023
A Survey on Fairness in Large Language Models Yingji Li Mengnan Du Rui Song Xin Wang Ying Wang ALM 57 62 0 20 Aug 2023
Causal Adversarial Perturbations for Individual Fairness and Robustness in Heterogeneous Data Spaces A. Ehyaei Kiarash Mohammadi Amir-Hossein Karimi Samira Samadi G. Farnadi AAML 18 3 0 17 Aug 2023
Differential Privacy, Linguistic Fairness, and Training Data Influence: Impossibility and Possibility Theorems for Multilingual Language Models Phillip Rust Anders Søgaard 43 3 0 17 Aug 2023
A Framework for Designing Fair Ubiquitous Computing Systems Han Zhang Leijie Wang Yilun Sheng Xuhai Xu Jennifer Mankoff A. Dey 60 9 0 17 Aug 2023
Explainable AI for clinical risk prediction: a survey of concepts, methods, and modalities Munib Mesinovic Peter Watkinson Ting Zhu FaML 24 3 0 16 Aug 2023
Challenges and Opportunities of Using Transformer-Based Multi-Task Learning in NLP Through ML Lifecycle: A Survey Lovre Torbarina Tin Ferkovic Lukasz Roguski Velimir Mihelčić Bruno Šarlija Z. Kraljevic 31 5 0 16 Aug 2023
Software Doping Analysis for Human Oversight Sebastian Biewer Kevin Baum Sarah Sterz Holger Hermanns Sven Hetmank Markus Langer Anne Lauber-Rönsberg Franz Lehr 38 4 0 11 Aug 2023
Addressing Racial Bias in Facial Emotion Recognition Alex Fan Xuesu Xiao Peter Washington 40 1 0 09 Aug 2023
Elucidate Gender Fairness in Singing Voice Transcription Xiangming Gu Weizhen Zeng Ye Wang 40 3 0 05 Aug 2023
Target specification bias, counterfactual prediction, and algorithmic fairness in healthcare Eran Tal CML OOD 24 10 0 03 Aug 2023
The Unequal Opportunities of Large Language Models: Revealing Demographic Bias through Job Recommendations A. Salinas Parth Vipul Shah Yuzhong Huang Robert McCormack Fred Morstatter 49 35 0 03 Aug 2023
A Multidimensional Analysis of Social Biases in Vision Transformers Jannik Brinkmann Paul Swoboda Christian Bartelt 30 6 0 03 Aug 2023
Fair Models in Credit: Intersectional Discrimination and the Amplification of Inequity S. Kim Stefan Lessmann G. Andreeva Michael Rovatsos FaML 37 4 0 01 Aug 2023
Monitoring Algorithmic Fairness under Partial Observations T. Henzinger Konstantin Kueffner Kaushik Mallik MLAU 50 2 0 01 Aug 2023
Robotic Vision for Human-Robot Interaction and Collaboration: A Survey and Systematic Review Nicole L. Robinson Brendan Tidd Dylan Campbell Dana Kulić Peter Corke 51 56 0 28 Jul 2023
AI and ethics in insurance: a new solution to mitigate proxy discrimination in risk modeling Marguerite Sauce Antoine Chancel Antoine Ly 40 0 0 25 Jul 2023
Fairness Improvement with Multiple Protected Attributes: How Far Are We? Zhenpeng Chen Jie M. Zhang Federica Sarro Mark Harman FaML 45 4 0 25 Jul 2023
Unlocking the Emotional World of Visual Media: An Overview of the Science, Research, and Impact of Understanding Emotion James Z. Wang Sicheng Zhao Chenyan Wu Reginald B. Adams M. Newman T. Shafir Rachelle Tsachor 55 30 0 25 Jul 2023
The Double-Edged Sword of Big Data and Information Technology for the Disadvantaged: A Cautionary Tale from Open Banking S. Kim G. Andreeva Michael Rovatsos 14 1 0 25 Jul 2023
Spectral Normalized-Cut Graph Partitioning with Fairness Constraints Jia Li Yanhao Wang Arpit Merchant 48 1 0 22 Jul 2023
Towards Better Fairness-Utility Trade-off: A Comprehensive Measurement-Based Reinforcement Learning Framework Simiao Zhang Jitao Bai Menghong Guan Yihao Huang Yueling Zhang Jun Sun G. Pu FaML 37 1 0 21 Jul 2023
Demystifying Local and Global Fairness Trade-offs in Federated Learning Using Partial Information Decomposition Faisal Hamman Sanghamitra Dutta FedML 30 11 0 21 Jul 2023