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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/TUM-AIMED/2.5DAttention

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Private, fair and accurate: Training large-scale, privacy-preserving AI models in medical imaging

https://github.com/TURuibo/long-term-impact-of-fairness-constraints

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How Do Fair Decisions Fare in Long-term Qualification?

https://github.com/Taosheng-ty/Dynamic-Fairness

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Maximizing Marginal Fairness for Dynamic Learning to Rank

https://github.com/Teddyzander/FairR

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How Robust is your Fair Model? Exploring the Robustness of Diverse Fairness Strategies

https://github.com/Tencent/TFace

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Consistent Instance False Positive Improves Fairness in Face Recognition

https://github.com/TianhaoShi2001/DRFO

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Fair Recommendations with Limited Sensitive Attributes: A Distributionally Robust Optimization Approach

https://github.com/TinfoilHat0/BiFair

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Fair Machine Learning under Limited Demographically Labeled Data

https://github.com/TobyGE/FCPO

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Towards Long-term Fairness in Recommendation

https://github.com/TravisBarryDick/FairConsumerFinance

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Algorithms and Learning for Fair Portfolio Design

https://github.com/TrustAI/FAAL

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Towards Fairness-Aware Adversarial Learning

https://github.com/Trusted-AI/AIF360

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Data quality dimensions for fair AI

https://github.com/Trustworthy-ML-Lab/corrupting_neuron_explanations

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Corrupting Neuron Explanations of Deep Visual Features

https://github.com/TsingZ0/GPFL

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GPFL: Simultaneously Learning Global and Personalized Feature Information for Personalized Federated Learning

https://github.com/UB-Mannheim/FAIR-GPT

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FAIR GPT: A virtual consultant for research data management in ChatGPT

https://github.com/UCLA-StarAI/LearnFairNB

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Learning Fair Naive Bayes Classifiers by Discovering and Eliminating Discrimination Patterns

https://github.com/UCLA-StarAI/mc2

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On Tractable Computation of Expected Predictions

https://github.com/UVA-MLSys/DS7406

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Fairness and Privacy in Federated Learning and Their Implications in Healthcare

https://github.com/VectorInstitute/laftr

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Learning Adversarially Fair and Transferable Representations

https://github.com/WenjieWWJ/DecRS

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Deconfounded Recommendation for Alleviating Bias Amplification

https://github.com/WorldMedQA/V

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WorldMedQA-V: a multilingual, multimodal medical examination dataset for multimodal language models evaluation

https://github.com/WwZzz/easyFL

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Federated Learning with Fair Averaging

https://github.com/XinyiYS/CML-RewardDistribution

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Incentivizing Collaboration in Machine Learning via Synthetic Data Rewards

https://github.com/XinyiYS/CollaborativeFairFederatedLearning

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Collaborative Fairness in Federated Learning

https://github.com/XinyiYS/Robust-and-Fair-Federated-Learning

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A Reputation Mechanism Is All You Need: Collaborative Fairness and Adversarial Robustness in Federated Learning

https://github.com/XuhuiZhou/Toxic_Debias

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Challenges in Automated Debiasing for Toxic Language Detection

https://github.com/Xujxyang/Fairness-NC-main

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Collapsed Language Models Promote Fairness

https://github.com/Xuran-LI/AccurateFairnessCriterion

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Accurate Fairness: Improving Individual Fairness without Trading Accuracy

https://github.com/Yuxin-Wen/GeoA3

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Geometry-Aware Generation of Adversarial Point Clouds

https://github.com/ZhenanFanUBC/FairVFL.jl

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Achieving Model Fairness in Vertical Federated Learning

https://github.com/Zhou-Junhao/PIA_GAN

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Property Inference Attacks Against GANs

https://github.com/ZilongTan/fgp

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Learning Fair Representations for Kernel Models

https://github.com/Zziwei/Item-Underrecommendation-Bias

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Fairness-aware Personalized Ranking Recommendation via Adversarial Learning

https://github.com/aakash4305/gbdf

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GBDF: Gender Balanced DeepFake Dataset Towards Fair DeepFake Detection

https://github.com/aayushmanace/patchalign24

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PatchAlign:Fair and Accurate Skin Disease Image Classification by Alignment with Clinical Labels

https://github.com/abacusai/intraprocessing_debiasing

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Intra-Processing Methods for Debiasing Neural Networks

https://github.com/abdd68/Fair-Vision-Transformer

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FairViT: Fair Vision Transformer via Adaptive Masking

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