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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/jarrenbr/objective-fairness-index

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Facets of Disparate Impact: Evaluating Legally Consistent Bias in Machine Learning

https://github.com/jazmiahenry/prompting_fairness

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Prompting Fairness: Artificial Intelligence as Game Players

https://github.com/jdonnelly36/Deformable-ProtoPNet

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Deformable ProtoPNet: An Interpretable Image Classifier Using Deformable Prototypes

https://github.com/jeanselme/clinicalpresencefairness

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Imputation Strategies Under Clinical Presence: Impact on Algorithmic Fairness

https://github.com/jfchi/cscl4ftc

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Conditional Supervised Contrastive Learning for Fair Text Classification

https://github.com/jfchi/return-parity-mdp

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Towards Return Parity in Markov Decision Processes

https://github.com/jfisher52/approximation_political_neutrality

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Political Neutrality in AI Is Impossible- But Here Is How to Approximate It

https://github.com/jhliu0807/fair-sampling

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Unbiased Collaborative Filtering with Fair Sampling

https://github.com/jiali2000/fnm

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Spectral Normalized-Cut Graph Partitioning with Fairness Constraints

https://github.com/jiamings/lag-fairness

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Learning Controllable Fair Representations

https://github.com/jiangm-c/ifairlrs

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Item-side Fairness of Large Language Model-based Recommendation System

https://github.com/jiangnanx129/FairTP

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FairTP: A Prolonged Fairness Framework for Traffic Prediction

https://github.com/jiank2/fate

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Deceptive Fairness Attacks on Graphs via Meta Learning

https://github.com/jiannan-xu/emnlp23_fair_explanation

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Towards Conceptualization of "Fair Explanation": Disparate Impacts of anti-Asian Hate Speech Explanations on Content Moderators

https://github.com/jiawei-ren/BalancedMSE

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Balanced MSE for Imbalanced Visual Regression

https://github.com/jiaweilian/benchmarking_physical_attack

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PADetBench: Towards Benchmarking Physical Attacks against Object Detection

https://github.com/jiaweilian/padetbench

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PADetBench: Towards Benchmarking Physical Attacks against Object Detection

https://github.com/jiiwang/scalable_fair_spectral_clustering

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Scalable Spectral Clustering with Group Fairness Constraints

https://github.com/jinli-i/modicf

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Generating with Fairness: A Modality-Diffused Counterfactual Framework for Incomplete Multimodal Recommendations

https://github.com/jinlin2021/fap_cd

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FAP-CD: Fairness-Driven Age-Friendly Community Planning via Conditional Diffusion Generation

https://github.com/jizhi-zhang/fairllm

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Is ChatGPT Fair for Recommendation? Evaluating Fairness in Large Language Model Recommendation

https://github.com/jjcherian/fairaudit

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Statistical Inference for Fairness Auditing

https://github.com/jjfeng/testing_strong_calibration

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Is this model reliable for everyone? Testing for strong calibration

https://github.com/jjgold012/lab-project-fairness

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Penalizing Unfairness in Binary Classification

https://github.com/jk-kaijiang/FDDG

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Algorithmic Fairness Generalization under Covariate and Dependence Shifts Simultaneously

https://github.com/jkang98/2024-sigir-xgboost-pl-rank

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Estimating the Hessian Matrix of Ranking Objectives for Stochastic Learning to Rank with Gradient Boosted Trees

https://github.com/jmaasch/ld3

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Local Causal Discovery for Structural Evidence of Direct Discrimination

https://github.com/jmikko/fair_ERM

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Empirical Risk Minimization under Fairness Constraints

https://github.com/joanagoncalveslab/DCAST

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DCAST: Diverse Class-Aware Self-Training Mitigates Selection Bias for Fairer Learning

https://github.com/joanagoncalveslab/metric-dst

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Metric-DST: Mitigating Selection Bias Through Diversity-Guided Semi-Supervised Metric Learning

https://github.com/joebaumann/fair-prediction-based-decision-making

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Enforcing Group Fairness in Algorithmic Decision Making: Utility Maximization Under Sufficiency

https://github.com/joebaumann/fairnesslab

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A Justice-Based Framework for the Analysis of Algorithmic Fairness-Utility Trade-Offs

https://github.com/joel-mire/rm-dialect-biases

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Rejected Dialects: Biases Against African American Language in Reward Models

https://github.com/joelescudefont/genbiasmt

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Equalizing Gender Biases in Neural Machine Translation with Word Embeddings Techniques

https://github.com/joeybose/Flexible-Fairness-Constraints

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Compositional Fairness Constraints for Graph Embeddings

https://github.com/johnny-fans/medodyssey

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MedOdyssey: A Medical Domain Benchmark for Long Context Evaluation Up to 200K Tokens

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