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
Shedding light on underrepresentation and Sampling Bias in machine learning Sami Zhioua Ruta Binkyt.e 30 0 0 08 Jun 2023
Beyond Probability Partitions: Calibrating Neural Networks with Semantic Aware Grouping Jia-Qi Yang De-Chuan Zhan Le Gan UQCV 36 5 0 08 Jun 2023
Soft-prompt Tuning for Large Language Models to Evaluate Bias Jacob-Junqi Tian David B. Emerson Sevil Zanjani Miyandoab D. Pandya Laleh Seyyed-Kalantari Faiza Khan Khattak VLM 31 10 0 07 Jun 2023
Hardness of Deceptive Certificate Selection Stephan Wäldchen AAML 27 1 0 07 Jun 2023
Migrate Demographic Group For Fair GNNs Yanming Hu Tianchi Liao Jialong Chen Jing Bian Zibin Zheng Chuan Chen 26 0 0 07 Jun 2023
Fairness-Sensitive Policy-Gradient Reinforcement Learning for Reducing Bias in Robotic Assistance Jie Zhu Mengsha Hu Xueyao Liang Amy Zhang Ruoming Jin Rui Liu 29 1 0 07 Jun 2023
BeMap: Balanced Message Passing for Fair Graph Neural Network Xiao Lin Jian Kang Weilin Cong Yangqiu Song MoE 47 7 0 07 Jun 2023
PyTrial: Machine Learning Software and Benchmark for Clinical Trial Applications Zifeng Wang B. Theodorou Tianfan Fu Cao Xiao Jimeng Sun LM&MA 40 2 0 06 Jun 2023
Adversarial attacks and defenses in explainable artificial intelligence: A survey Hubert Baniecki P. Biecek AAML 47 63 0 06 Jun 2023
On Pitfalls of Test-Time Adaptation Hao Zhao Yuejiang Liu Alexandre Alahi Tao R. Lin TTA 42 42 0 06 Jun 2023
Towards Fairness in Personalized Ads Using Impression Variance Aware Reinforcement Learning A. Timmaraju M. Mashayekhi Mingliang Chen Qinya Zeng Quintin Fettes ... M. Kannadasan Pushkar Tripathi Sean M. Gahagan Miranda Boge Rob Roudani 22 8 0 05 Jun 2023
Fair Patient Model: Mitigating Bias in the Patient Representation Learned from the Electronic Health Records Sonish Sivarajkumar Yufei Huang Yanshan Wang 31 5 0 05 Jun 2023
Using Sequences of Life-events to Predict Human Lives Germans Savcisens Tina Eliassi-Rad L. K. Hansen L. Mortensen Lau Lilleholt Anna Rogers Ingo Zettler Sune Lehmann AI4TS 57 37 0 05 Jun 2023
Input-gradient space particle inference for neural network ensembles Trung Trinh Markus Heinonen Luigi Acerbi Samuel Kaski UQCV 39 3 0 05 Jun 2023
Resilient Constrained Learning Ignacio Hounie Alejandro Ribeiro Luiz F. O. Chamon 37 10 0 04 Jun 2023
Stubborn Lexical Bias in Data and Models Sofia Serrano Jesse Dodge Noah A. Smith 42 2 0 03 Jun 2023
Training Data Attribution for Diffusion Models Zheng Dai David K Gifford TDI 25 17 0 03 Jun 2023
Revisiting the Role of Language Priors in Vision-Language Models Zhiqiu Lin Xinyue Chen Deepak Pathak Pengchuan Zhang Deva Ramanan VLM 38 22 0 02 Jun 2023
Affinity Clustering Framework for Data Debiasing Using Pairwise Distribution Discrepancy Siamak Ghodsi Eirini Ntoutsi 25 1 0 02 Jun 2023
The Flawed Foundations of Fair Machine Learning R. Poe Soumia Zohra El Mestari FaML 33 1 0 02 Jun 2023
Efficient Failure Pattern Identification of Predictive Algorithms Bao Nguyen Viet Anh Nguyen 38 0 0 01 Jun 2023
A Survey on Fairness-aware Recommender Systems Di Jin Luzhi Wang He Zhang Yizhen Zheng Weiping Ding Feng Xia Shirui Pan FaML 30 42 0 01 Jun 2023
Survey of Trustworthy AI: A Meta Decision of AI Caesar Wu Yuan-Fang Li Pascal Bouvry 31 3 0 01 Jun 2023
Thought Cloning: Learning to Think while Acting by Imitating Human Thinking Shengran Hu Jeff Clune LM&Ro OffRL LRM AI4CE 45 27 0 01 Jun 2023
Bias Mitigation Methods for Binary Classification Decision-Making Systems: Survey and Recommendations Madeleine Waller Odinaldo Rodrigues O. Cocarascu FaML AI4CE 38 2 0 31 May 2023
How to Construct Perfect and Worse-than-Coin-Flip Spoofing Countermeasures: A Word of Warning on Shortcut Learning Hye-jin Shim Rosa González Hautamäki Md. Sahidullah Tomi Kinnunen AAML 27 5 0 31 May 2023
Designing Closed-Loop Models for Task Allocation Vijay Keswani L. E. Celis K. Kenthapadi Matthew Lease 31 0 0 31 May 2023
Efficient Training of Energy-Based Models Using Jarzynski Equality D. Carbone Mengjian Hua Simon Coste Eric Vanden-Eijnden 26 4 0 30 May 2023
FRAMM: Fair Ranking with Missing Modalities for Clinical Trial Site Selection B. Theodorou Lucas Glass Cao Xiao Jimeng Sun 48 7 0 30 May 2023
Counterpart Fairness -- Addressing Systematic between-group Differences in Fairness Evaluation Yifei Wang Zhengyang Zhou Liqin Wang John Laurentiev Peter Hou Li Zhou Pengyu Hong 35 0 0 29 May 2023
Generalized Disparate Impact for Configurable Fairness Solutions in ML Luca Giuliani Eleonora Misino M. Lombardi 30 3 0 29 May 2023
Bias, Consistency, and Partisanship in U.S. Asylum Cases: A Machine Learning Analysis of Extraneous Factors in Immigration Court Decisions Vyoma Raman Catherine Vera CJ Manna 13 3 0 25 May 2023
Monitoring Algorithmic Fairness T. Henzinger Mahyar Karimi Konstantin Kueffner Kaushik Mallik FaML 32 6 0 25 May 2023
GFairHint: Improving Individual Fairness for Graph Neural Networks via Fairness Hint Paiheng Xu Yuhang Zhou Bang An Wei Ai Furong Huang 37 6 0 25 May 2023
FairDP: Certified Fairness with Differential Privacy K. Tran Ferdinando Fioretto Issa M. Khalil My T. Thai Nhathai Phan 37 0 0 25 May 2023
Balancing the Picture: Debiasing Vision-Language Datasets with Synthetic Contrast Sets Brandon Smith Miguel Farinha S. Hall Hannah Rose Kirk Aleksandar Shtedritski Max Bain 49 19 0 24 May 2023
Comparing Humans and Models on a Similar Scale: Towards Cognitive Gender Bias Evaluation in Coreference Resolution Gili Lior Gabriel Stanovsky 38 4 0 24 May 2023
Uncovering and Quantifying Social Biases in Code Generation Yang Liu Xiaokang Chen Yan Gao Zhe Su Fengji Zhang Daoguang Zan Jian-Guang Lou Pin-Yu Chen Tsung-Yi Ho 54 19 0 24 May 2023
Is Your Model "MADD"? A Novel Metric to Evaluate Algorithmic Fairness for Predictive Student Models M. Verger Sébastien Lallé F. Bouchet Vanda Luengo 22 11 0 24 May 2023
Deep Learning and Ethics Travis LaCroix Simon J. D. Prince FaML 28 0 0 24 May 2023
Centering the Margins: Outlier-Based Identification of Harmed Populations in Toxicity Detection Vyoma Raman Eve Fleisig Dan Klein 27 0 0 24 May 2023
Run Like a Girl! Sports-Related Gender Bias in Language and Vision S. Harrison Eleonora Gualdoni Gemma Boleda 35 6 0 23 May 2023
Fair Differentially Private Federated Learning Framework Ayush K. Varshney Sonakshi Garg Arka P. Ghosh Sargam Gupta FedML 28 0 0 23 May 2023
Fair Oversampling Technique using Heterogeneous Clusters Ryosuke Sonoda 24 12 0 23 May 2023
FITNESS: A Causal De-correlation Approach for Mitigating Bias in Machine Learning Software Ying Xiao Shangwen Wang Sicen Liu Dingyuan Xue Xian Zhan Yepang Liu CML 29 0 0 23 May 2023
DeepBern-Nets: Taming the Complexity of Certifying Neural Networks using Bernstein Polynomial Activations and Precise Bound Propagation Haitham Khedr Yasser Shoukry 52 5 0 22 May 2023
Fairness of ChatGPT Yunqi Li Lanjing Zhang Yongfeng Zhang 37 21 0 22 May 2023
Fair Without Leveling Down: A New Intersectional Fairness Definition Gaurav Maheshwari A. Bellet Pascal Denis Mikaela Keller FaML 44 2 0 21 May 2023
Comparing Software Developers with ChatGPT: An Empirical Investigation Nathalia Nascimento Paulo S. C. Alencar Donald D. Cowan 21 29 0 19 May 2023
Improving Fairness in AI Models on Electronic Health Records: The Case for Federated Learning Methods Raphael Poulain Mirza Farhan Bin Tarek Rahmatollah Beheshti FedML 33 21 0 19 May 2023