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Fairness

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

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하위 태스크

1

평가표

9

보존된 평가 기록

10

코드

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

https://github.com/lyingCS/UOEP

공식 코드

UOEP: User-Oriented Exploration Policy for Enhancing Long-Term User Experiences in Recommender Systems

https://github.com/lynecho/repbias_nbr

공식 코드

Repeat-bias-aware Optimization of Beyond-accuracy Metrics for Next Basket Recommendation

https://github.com/m0hammadmahdi/neurips2021_fair-sequential-selection-using-supervised-learning-models

공식 코드

Fair Sequential Selection Using Supervised Learning Models

https://github.com/madakkmi/llpowershap

공식 코드

LLpowershap: Logistic Loss-based Automated Shapley Values Feature Selection Method

https://github.com/madisoncoots/equitable-algorithms

공식 코드

Designing Equitable Algorithms

https://github.com/magnetar-iiith/F3

공식 코드

F3: Fair and Federated Face Attribute Classification with Heterogeneous Data

https://github.com/magnetar-iiith/FPFL

공식 코드

Federated Learning Meets Fairness and Differential Privacy

https://github.com/mail-ecnu/otdyadicfair

공식 코드

Obtaining Dyadic Fairness by Optimal Transport

https://github.com/maliha93/Fairness-Analysis-Code

공식 코드

Through the Data Management Lens: Experimental Analysis and Evaluation of Fair Classification

https://github.com/malteal/ot-decorrelation

공식 코드

Decorrelation using Optimal Transport

https://github.com/mandycoston/counterfactual

공식 코드

Counterfactual Risk Assessments, Evaluation, and Fairness

https://github.com/manjaryp/ImageForgeryFairness

공식 코드

Towards Exploring Fairness in Visual Transformer based Natural and GAN Image Detection Systems

https://github.com/manvic14/survey_fairness_graphs

공식 코드

A Survey on Fairness for Machine Learning on Graphs

https://github.com/mariaheuss/2022-sigir-foe-incomplete-exposure

공식 코드

Fairness of Exposure in Light of Incomplete Exposure Estimation

https://github.com/mariaheuss/2023-cikm-uncertainty-based-bias-mitigation

공식 코드

Predictive Uncertainty-based Bias Mitigation in Ranking

https://github.com/mariotheone/gretel

공식 코드

A Survey on Graph Counterfactual Explanations: Definitions, Methods, Evaluation, and Research Challenges

https://github.com/markellekelly/variable-wise-calibration

공식 코드

Variable-Based Calibration for Machine Learning Classifiers

https://github.com/masoudmansoury/ealinucb

공식 코드

Mitigating Exposure Bias in Online Learning to Rank Recommendation: A Novel Reward Model for Cascading Bandits

https://github.com/masoudmansoury/yelp_core40

공식 코드

Bias Disparity in Collaborative Recommendation: Algorithmic Evaluation and Comparison

https://github.com/matanhalevy/DebiasingHateDetectionAAE

공식 코드

Mitigating Racial Biases in Toxic Language Detection with an Equity-Based Ensemble Framework

https://github.com/mathieu-molina/boundapproxintermargfairness

공식 코드

Bounding and Approximating Intersectional Fairness through Marginal Fairness

https://github.com/mattgorb/iterative_parameter_alignment

공식 코드

Cross-Silo Federated Learning Across Divergent Domains with Iterative Parameter Alignment

https://github.com/matthieu637/DFRL

공식 코드

Learning Fair Policies in Decentralized Cooperative Multi-Agent Reinforcement Learning

https://github.com/matthklein/equalized_odds_under_perturbation

공식 코드

Equalized odds postprocessing under imperfect group information

https://github.com/matthklein/fair_k_center_clustering

공식 코드

Fair k-Center Clustering for Data Summarization

https://github.com/matthklein/fair_spectral_clustering

공식 코드

Guarantees for Spectral Clustering with Fairness Constraints

https://github.com/mattolson93/cross_gan_auditing

공식 코드

Cross-GAN Auditing: Unsupervised Identification of Attribute Level Similarities and Differences between Pretrained Generative Models

https://github.com/mayanbiao1234/geometric-metrics-for-perceptual-manifolds

공식 코드

Predicting and Enhancing the Fairness of DNNs with the Curvature of Perceptual Manifolds

https://github.com/mayanbiao1234/geometric-metrics-for-perceptual-manifolds-in-deep-neural-networks

공식 코드

Predicting and Enhancing the Fairness of DNNs with the Curvature of Perceptual Manifolds

https://github.com/mbilalzafar/fair-classification

공식 코드

Multi-objective Asynchronous Successive Halving

https://github.com/mcederle99/fairmss

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A Fairness-Oriented Reinforcement Learning Approach for the Operation and Control of Shared Micromobility Services

https://github.com/meelgroup/justicia

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Justicia: A Stochastic SAT Approach to Formally Verify Fairness

https://github.com/meilfang/fairnessfacepad

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Fairness in Face Presentation Attack Detection

https://github.com/melinaverger/madd

공식 코드

Is Your Model "MADD"? A Novel Metric to Evaluate Algorithmic Fairness for Predictive Student Models

https://github.com/mengcao327/attack-gnn-fairness

공식 코드

Adversarial Inter-Group Link Injection Degrades the Fairness of Graph Neural Networks

https://github.com/mesquiteisd/rai-hybrid-recommendation-k12

공식 코드

Towards Responsible AI in Education: Hybrid Recommendation System for K-12 Students Case Study

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