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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/zykls/folktables

공식 코드

Retiring Adult: New Datasets for Fair Machine Learning

https://github.com/zzhustc2016/raremed

공식 코드

Leave No Patient Behind: Enhancing Medication Recommendation for Rare Disease Patients

https://github.com/zzoomd/fairgkd

공식 코드

The Devil is in the Data: Learning Fair Graph Neural Networks via Partial Knowledge Distillation

https://github.com/zzoomd/fairinv

공식 코드

One Fits All: Learning Fair Graph Neural Networks for Various Sensitive Attributes

https://github.com/zzoomd/fairsad

공식 코드

Fair Graph Representation Learning via Sensitive Attribute Disentanglement

https://github.com/zzzace2000/nodegam

공식 코드

NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning

https://gitlab.com/AAAL/DFRL

공식 코드

Learning Fair Policies in Decentralized Cooperative Multi-Agent Reinforcement Learning

https://gitlab.com/AAAL/Fair-RL

공식 코드

Learning Fair Policies in Multiobjective (Deep) Reinforcement Learning with Average and Discounted Rewards

https://gitlab.com/HUMAINT/humaint-fatml

공식 코드

Addressing multiple metrics of group fairness in data-driven decision making

https://gitlab.com/viper-purdue/fairssd

공식 코드

FairSSD: Understanding Bias in Synthetic Speech Detectors

https://worksheets.codalab.org/worksheets/0x17a501d37bbe49279b0c70ae10813f4c

공식 코드

Fairness Without Demographics in Repeated Loss Minimization

https://worksheets.codalab.org/worksheets/0x578f01269d644524b0d4ab2a7a2a6984

공식 코드

Maximum Weighted Loss Discrepancy

https://zenodo.org/record/13915653

공식 코드

It's Not You, It's Me: The Impact of Choice Models and Ranking Strategies on Gender Imbalance in Music Recommendation

https://github.com/15534081591/FairMOT

FairMOT: On the Fairness of Detection and Re-Identification in Multiple Object Tracking

https://github.com/AGronowski/SongPaperCode

Learning Controllable Fair Representations

https://github.com/AI4LIFE-GROUP/LLM_Explainer

OpenXAI: Towards a Transparent Evaluation of Model Explanations

https://github.com/Aedelon/fair-efficient_network

Learning Fairness in Multi-Agent Systems

https://github.com/Bangbangbanana/fairmot_mindspore

FairMOT: On the Fairness of Detection and Re-Identification in Multiple Object Tracking

https://github.com/BehroozRazeghi/Variational-Leakage

A Variational Approach to Privacy and Fairness

https://github.com/Ben-USC/COVID-19

A Critic Evaluation of Methods for COVID-19 Automatic Detection from X-Ray Images

https://github.com/Brook1711/RIS_components

Joint Trajectory and Passive Beamforming Design for Intelligent Reflecting Surface-Aided UAV Communications: A Deep Reinforcement Learning Approach

https://github.com/BunsenFeng/modular_pluralism

From Pretraining Data to Language Models to Downstream Tasks: Tracking the Trails of Political Biases Leading to Unfair NLP Models

https://github.com/CS839/robustness_vs_fairness

Training individually fair ML models with Sensitive Subspace Robustness

https://github.com/CausalML/FairnessWithUnobservedProtectedClass

Assessing Algorithmic Fairness with Unobserved Protected Class Using Data Combination

https://github.com/CausalML/interventions-disparate-impact-responders

Assessing Disparate Impacts of Personalized Interventions: Identifiability and Bounds

https://github.com/Cherrydomini/Effects-of-feature-dropping-on-COMPAS-with-the-influence-of-LIME-

dalex: Responsible Machine Learning with Interactive Explainability and Fairness in Python

https://github.com/DamianStraszak/FairDiverseDPPSampling

Fair and Diverse DPP-based Data Summarization

https://github.com/DataResponsibly/MirrorDataGenerator

Causal intersectionality for fair ranking

https://github.com/DaveFClarke/ml_bias_checking

Classification with Fairness Constraints: A Meta-Algorithm with Provable Guarantees

https://github.com/DylanPerdigao/Bayesian-Optimization-1D-CSNN

https://github.com/DylanPerdigao/Neural-Joint-Activity-in-SNNs

https://github.com/ElementAI/baal

Can Active Learning Preemptively Mitigate Fairness Issues?

https://github.com/FaceOnLive/Face-Recognition-SDK-Android

Rethinking Bias Mitigation: Fairer Architectures Make for Fairer Face Recognition

https://github.com/FairUnlearn/detoxai

Mitigating Unwanted Biases with Adversarial Learning

https://github.com/FlorentijnD/FairMOT

FairMOT: On the Fairness of Detection and Re-Identification in Multiple Object Tracking

https://github.com/Gorilla-Lab-SCUT/GeoA3

Geometry-Aware Generation of Adversarial Point Clouds

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