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Fairness

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코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/anaymehrotra/fairrankingwithnoisyattributes

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Fair Ranking with Noisy Protected Attributes

https://github.com/anaymehrotra/selection-with-multiple-rankings-with-bias

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Subset Selection Based On Multiple Rankings in the Presence of Bias: Effectiveness of Fairness Constraints for Multiwinner Voting Score Functions

https://github.com/anaymehrotra/submodular-maximization-in-the-presence-of-biases

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Maximizing Submodular Functions for Recommendation in the Presence of Biases

https://github.com/andreArtelt/FairnessRobustnessContrastingExplanations

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Evaluating Robustness of Counterfactual Explanations

https://github.com/andrewklayk/fairness_with_mallows_distribution

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Fairness in Ranking: Robustness through Randomization without the Protected Attribute

https://github.com/angelina-wang/difference_awareness

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Fairness through Difference Awareness: Measuring Desired Group Discrimination in LLMs

https://github.com/aniquetahir/gaia

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Fairness through Aleatoric Uncertainty

https://github.com/anissa218/medfair_ukbb

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On Biases in a UK Biobank-based Retinal Image Classification Model

https://github.com/anissa218/subgroups_bias_mit

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Subgroups Matter for Robust Bias Mitigation

https://github.com/anonymous-785/synthetic_survival_data

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Conditioning on Time is All You Need for Synthetic Survival Data Generation

https://github.com/anonymous12138/groupcart

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Software Engineering Principles for Fairer Systems: Experiments with GroupCART

https://github.com/anshuman23/cfc

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Robust Fair Clustering: A Novel Fairness Attack and Defense Framework

https://github.com/anthonysicilia/equitable-dialogue-acl2023

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Learning to Generate Equitable Text in Dialogue from Biased Training Data

https://github.com/anuwu/jMetalPy

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Fairly Constricted Multi-Objective Particle Swarm Optimization

https://github.com/aparna-b/fairrankingrelevance

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The Role of Relevance in Fair Ranking

https://github.com/appeler/ethnicolr

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Predicting Race and Ethnicity From the Sequence of Characters in a Name

https://github.com/apple/ml-synthbias

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Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs

https://github.com/appledogdog/fairnessdetection

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FairAdapter: Detecting AI-generated Images with Improved Fairness

https://github.com/aquillanatus/scorecampp

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Reliable or Deceptive? Investigating Gated Features for Smooth Visual Explanations in CNNs

https://github.com/araison12/eixgnn

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EiX-GNN : Concept-level eigencentrality explainer for graph neural networks

https://github.com/arezae4/fair_covariate_shift

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Robust Fairness under Covariate Shift

https://github.com/arezou-pakzad/circle

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CIRCLe: Color Invariant Representation Learning for Unbiased Classification of Skin Lesions

https://github.com/ariba-k/fair-loan-predictor

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Developing a novel fair-loan-predictor through a multi-sensitive debiasing pipeline: DualFair

https://github.com/arin-upna/biased-heritage

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Biased Heritage: How Datasets Shape Models in Facial Expression Recognition

https://github.com/arjunsubramonian/link_bias_amplification

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Networked Inequality: Preferential Attachment Bias in Graph Neural Network Link Prediction

https://github.com/arkadiyd/mo-pbt

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Multi-Objective Population Based Training

https://github.com/arpitdm/gnn_accuracy_fairness_tradeoff

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Disparity, Inequality, and Accuracy Tradeoffs in Graph Neural Networks for Node Classification

https://github.com/arshiyaaggarwal/robust-nlg-bias-eval

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Towards Robust NLG Bias Evaluation with Syntactically-diverse Prompts

https://github.com/artefactory/fairness_metrics

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Fairness-Aware Grouping for Continuous Sensitive Variables: Application for Debiasing Face Analysis with respect to Skin Tone

https://github.com/arturo-perez-peralta/FairMLIntegration

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The more the merrier: logical and multistage processors in credit scoring

https://github.com/arvindh75/cafin

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CAFIN: Centrality Aware Fairness inducing IN-processing for Unsupervised Representation Learning on Graphs

https://github.com/asatheesh6561/mappo-lce

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A Constrained Multi-Agent Reinforcement Learning Approach to Autonomous Traffic Signal Control

https://github.com/ashudeep/Fair-PGRank

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Policy Learning for Fairness in Ranking

https://github.com/ashudeep/ranking-fairness-uncertainty

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Fairness in Ranking under Uncertainty

https://github.com/asmadotgh/dissect

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DISSECT: Disentangled Simultaneous Explanations via Concept Traversals

https://github.com/atasipanda/fair_bipartite_matching

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Individual Fairness under Varied Notions of Group Fairness in Bipartite Matching - One Framework to Approximate Them All

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