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Fairness

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평가표

9

보존된 평가 기록

10

코드

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

https://github.com/qingquan63/FaMOEL

공식 코드

Fairness-aware Multiobjective Evolutionary Learning

https://github.com/qingquan63/fairemol

공식 코드

Mitigating Unfairness via Evolutionary Multi-objective Ensemble Learning

https://github.com/qiongwu86/enhanced-sps-velocity-adaptivescheme-access-fariness-in-5g-nr-v2i-networks

공식 코드

Enhanced SPS Velocity-adaptive Scheme: Access Fairness in 5G NR V2I Networks

https://github.com/qiongwu86/semantic-aware-resource-management-for-c-v2x-platooning-via-multi-agent-reinforcement-learning

공식 코드

Semantic-Aware Resource Management for C-V2X Platooning via Multi-Agent Reinforcement Learning

https://github.com/qtli/coeval

공식 코드

Exploring the Reliability of Large Language Models as Customized Evaluators for Diverse NLP Tasks

https://github.com/quan-zhou/fairness-in-two-sided-markets

공식 코드

Subgroup Fairness in Two-Sided Markets

https://github.com/quan-zhou/ot_debiasing

공식 코드

Group-blind optimal transport to group parity and its constrained variants

https://github.com/quan-zhou/proper-learning-of-lds

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Optimisation Strategies for Ensuring Fairness in Machine Learning: With and Without Demographics

https://github.com/quantori/tutorial-on-ml-for-microbiomics

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Supervised machine learning for microbiomics: bridging the gap between current and best practices

https://github.com/racharyy/TED_HEM

공식 코드

Fairness in Rating Prediction by Awareness of Verbal and Gesture Quality of Public Speeches

https://github.com/rafaelmmamede/fairness_ocfr

공식 코드

Fairness Under Cover: Evaluating the Impact of Occlusions on Demographic Bias in Facial Recognition

https://github.com/rahmanidashti/BeyondAccProvider

공식 코드

Provider Fairness and Beyond-Accuracy Trade-offs in Recommender Systems

https://github.com/rahmanidashti/CPFairRecSys

공식 코드

CPFair: Personalized Consumer and Producer Fairness Re-ranking for Recommender Systems

https://github.com/rahmanidashti/contextsfair

공식 코드

Exploring the Impact of Temporal Bias in Point-of-Interest Recommendation

https://github.com/rahmanidashti/cpfairrank

공식 코드

A Personalized Framework for Consumer and Producer Group Fairness Optimization in Recommender Systems

https://github.com/rahmanidashti/fairbook

공식 코드

The Unfairness of Popularity Bias in Book Recommendation

https://github.com/rahmanidashti/fairrecsys

공식 코드

Experiments on Generalizability of User-Oriented Fairness in Recommender Systems

https://github.com/rakshit-agrawal/LEAP

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Learning Edge Properties in Graphs from Path Aggregations

https://github.com/rao-epfl/metrizing-fairness

공식 코드

Metrizing Fairness

https://github.com/rchiso/mf-rmab

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Fairness of Exposure in Online Restless Multi-armed Bandits

https://github.com/rcpsl/deepbern-nets

공식 코드

DeepBern-Nets: Taming the Complexity of Certifying Neural Networks using Bernstein Polynomial Activations and Precise Bound Propagation

https://github.com/rcrupiisp/isparity

공식 코드

Investigating Bias with a Synthetic Data Generator: Empirical Evidence and Philosophical Interpretation

https://github.com/reaile/bias-explainer

공식 코드

How Biased are Your Features?: Computing Fairness Influence Functions with Global Sensitivity Analysis

https://github.com/realityengines/post_hoc_debiasing

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Intra-Processing Methods for Debiasing Neural Networks

https://github.com/reclist/e-pluribus-unum-evalrs-2022

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E Pluribus Unum: Guidelines on Multi-Objective Evaluation of Recommender Systems

https://github.com/reclist/evalrs-kdd-2023

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EvalRS 2023. Well-Rounded Recommender Systems For Real-World Deployments

https://github.com/regionch/sprec

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SPRec: Leveraging Self-Play to Debias Preference Alignment for Large Language Model-based Recommendations

https://github.com/reliable-ai/fairml-multiverse

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One Model Many Scores: Using Multiverse Analysis to Prevent Fairness Hacking and Evaluate the Influence of Model Design Decisions

https://github.com/reliable-ai/lazy-data-practices

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Lazy Data Practices Harm Fairness Research

https://github.com/reluzita/fair-lnc-evaluation

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Systematic analysis of the impact of label noise correction on ML Fairness

https://github.com/ren-research/socially-equitable-public-models

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Building Socially-Equitable Public Models

https://github.com/renahon/mining_bias_target_alignment_from_voronoi_cells

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Mining bias-target Alignment from Voronoi Cells

https://github.com/renqii/dvr

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Beyond Models! Explainable Data Valuation and Metric Adaption for Recommendation

https://github.com/repoanonymous/fairness_metrics

공식 코드

Fair Enough: Searching for Sufficient Measures of Fairness

https://github.com/respiratory-support/respiratory-interventions

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Unmasking Societal Biases in Respiratory Support for ICU Patients through Social Determinants of Health

https://github.com/rezacsedu/xai-for-bioinformatics

공식 코드

Explainable AI for Bioinformatics: Methods, Tools, and Applications

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