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Fairness

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

https://github.com/MilkaLichtblau/FA-IR_Ranking

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FA*IR: A Fair Top-k Ranking Algorithm

https://github.com/MuhangTian/Fair-MORL-AAMAS

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Welfare and Fairness in Multi-objective Reinforcement Learning

https://github.com/NLPfreshman0/PSCRF

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Path-Specific Causal Reasoning for Fairness-aware Cognitive Diagnosis

https://github.com/Networks-Learning/FairHumanDecisions

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Enhancing the Accuracy and Fairness of Human Decision Making

https://github.com/Networks-Learning/within-group-monotonicity

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On the Within-Group Fairness of Screening Classifiers

https://github.com/Ninarehm/Fairness

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Statistical Equity: A Fairness Classification Objective

https://github.com/Ninarehm/attack

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Exacerbating Algorithmic Bias through Fairness Attacks

https://github.com/Nokia-Bell-Labs/SSLfairness

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Using Self-supervised Learning Can Improve Model Fairness

https://github.com/OxfordML/Fair_Regression

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Intersectionality: Multiple Group Fairness in Expectation Constraints

https://github.com/PKU-AI-Edge/FEN

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Learning Fairness in Multi-Agent Systems

https://github.com/PengxinZeng/2023-CVPR-FCMI

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Deep Fair Clustering via Maximizing and Minimizing Mutual Information: Theory, Algorithm and Metric

https://github.com/PieraRiccio/Emotions-fromEEG-toArt

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AI-based artistic representation of emotions from EEG signals: a discussion on fairness, inclusion, and aesthetics

https://github.com/Piyushi-0/Fair-MAMAB

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Multi-agent Multi-armed Bandits with Minimum Reward Guarantee Fairness

https://github.com/PortNLP/FairEXTSummarizer

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Fair Summarization: Bridging Quality and Diversity in Extractive Summaries

https://github.com/Quan-Zhou/Fairness-in-Learning-of-LDS

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Fairness in Forecasting of Observations of Linear Dynamical Systems

https://github.com/Raman1121/FairTune

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FairTune: Optimizing Parameter Efficient Fine Tuning for Fairness in Medical Image Analysis

https://github.com/Rasalrai/analysis-of-fairness-measures

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Properties of fairness measures in the context of varying class imbalance and protected group ratios

https://github.com/Rec4Fun/Fairness_Bundle_RecSys25

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A Reproducibility Study of Product-side Fairness in Bundle Recommendation

https://github.com/RecSys-lab/FairPOI

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The Unfairness of Active Users and Popularity Bias in Point-of-Interest Recommendation

https://github.com/RobustBench/robustbench

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RobustBench: a standardized adversarial robustness benchmark

https://github.com/SALT-NLP/pair

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Measuring and Addressing Indexical Bias in Information Retrieval

https://github.com/SCAlabUnical/CLEAR-Bias_LLM_benchmark

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Benchmarking Adversarial Robustness to Bias Elicitation in Large Language Models: Scalable Automated Assessment with LLM-as-a-Judge

https://github.com/SCAlabUnical/LLM-Bias-Jailbreak

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Are Large Language Models Really Bias-Free? Jailbreak Prompts for Assessing Adversarial Robustness to Bias Elicitation

https://github.com/SDPforAll/multiCriteriaDimReduction

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Multi-Criteria Dimensionality Reduction with Applications to Fairness

https://github.com/SaeedSharifiMa/AIF

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Average Individual Fairness: Algorithms, Generalization and Experiments

https://github.com/Sanchit-404/Reasoing-Towards-Fairness

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Reasoning Towards Fairness: Mitigating Bias in Language Models through Reasoning-Guided Fine-Tuning

https://github.com/Shaul1321/nullspace_projection

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Null It Out: Guarding Protected Attributes by Iterative Nullspace Projection

https://github.com/Shubhranshu-Shekhar/fairOD

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FairOD: Fairness-aware Outlier Detection

https://github.com/ShuoYangtum/RAZOR

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RAZOR: Sharpening Knowledge by Cutting Bias with Unsupervised Text Rewriting

https://github.com/Siki-cloud/Awesome-CF-Generation

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A Survey on Natural Language Counterfactual Generation

https://github.com/SimonDeVos/DCF

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Decision-centric fairness: Evaluation and optimization for resource allocation problems

https://github.com/SinghKaranbir/BiasAwareAgent

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Bias-Aware Agent: Enhancing Fairness in AI-Driven Knowledge Retrieval

https://github.com/Slimshilin/Position-Bias-Analyzer-Demo

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Judging the Judges: A Systematic Study of Position Bias in LLM-as-a-Judge

https://github.com/StanfordASL/fair-routing

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Balancing Fairness and Efficiency in Traffic Routing via Interpolated Traffic Assignment

https://github.com/StanfordASL/frank-wolfe-traffic

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Balancing Fairness and Efficiency in Traffic Routing via Interpolated Traffic Assignment

https://github.com/SymbioticLab/Salus

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Salus: Fine-Grained GPU Sharing Primitives for Deep Learning Applications

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