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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/sruthigorantla/sampling_random_group_fair_rankings

공식 코드

Sampling Ex-Post Group-Fair Rankings

https://github.com/ssbin4/closer-intervention-cbm

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A Closer Look at the Intervention Procedure of Concept Bottleneck Models

https://github.com/ssg-research/sok-unintended-interactions

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SoK: Unintended Interactions among Machine Learning Defenses and Risks

https://github.com/staciiaz/cog2023-darefightingice-evaluation

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Achieving Fairness in DareFightingICE Agents Evaluation Through a Delay Mechanism

https://github.com/stanford-aimi/chexpert-plus

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CheXpert Plus: Augmenting a Large Chest X-ray Dataset with Text Radiology Reports, Patient Demographics and Additional Image Formats

https://github.com/stanford-crfm/helm

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Holistic Evaluation of Language Models

https://github.com/stanford-policylab/learning-to-be-fair

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Learning to be Fair: A Consequentialist Approach to Equitable Decision-Making

https://github.com/sterlie/fairness-criteria-llm

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Generalizing Fairness to Generative Language Models via Reformulation of Non-discrimination Criteria

https://github.com/studentcej/auc_ns

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Reducing Popularity Bias in Recommender Systems through AUC-Optimal Negative Sampling

https://github.com/sukrutrao/attribution-evaluation

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Better Understanding Differences in Attribution Methods via Systematic Evaluations

https://github.com/sul217/MOO_Fairness

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Accuracy and Fairness Trade-offs in Machine Learning: A Stochastic Multi-Objective Approach

https://github.com/sulam-group/shaplit

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SHAP-XRT: The Shapley Value Meets Conditional Independence Testing

https://github.com/suman-cha/cond2st

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General Frameworks for Conditional Two-Sample Testing

https://github.com/summukhe/balanced_f1score

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Towards Unbiased Evaluation of Time-series Anomaly Detector

https://github.com/sumonbis/FairPreprocessing

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Fair Preprocessing: Towards Understanding Compositional Fairness of Data Transformers in Machine Learning Pipeline

https://github.com/sumonbis/ML-Fairness

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Do the Machine Learning Models on a Crowd Sourced Platform Exhibit Bias? An Empirical Study on Model Fairness

https://github.com/sumonbis/farify

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Fairify: Fairness Verification of Neural Networks

https://github.com/sun-hailong/lamda-pilot

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Continual Learning with Pre-Trained Models: A Survey

https://github.com/sunblaze-ucb/llm-api-audit

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Are You Getting What You Pay For? Auditing Model Substitution in LLM APIs

https://github.com/sungho-coolg/fscl

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Fair Contrastive Learning for Facial Attribute Classification

https://github.com/sungwon-han/dualfair

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DualFair: Fair Representation Learning at Both Group and Individual Levels via Contrastive Self-supervision

https://github.com/swagatikadash010/gender_age

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Fairness in Image Search: A Study of Occupational Stereotyping in Image Retrieval and its Debiasing

https://github.com/sweeneys/consumption-characteriser

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Embracing Fairness in Consumer Electricity Markets using an Automatic Market Maker

https://github.com/sweeneys/fair-flexible-energy-market

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Embracing Fairness in Consumer Electricity Markets using an Automatic Market Maker

https://github.com/systemt2021/slicetuner

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Slice Tuner: A Selective Data Acquisition Framework for Accurate and Fair Machine Learning Models

https://github.com/szahedian/binary-gamma

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Impossibility theorems involving weakenings of expansion consistency and resoluteness in voting

https://github.com/szk123456789/Nash_RS

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Statistical Impossibility and Possibility of Aligning LLMs with Human Preferences: From Condorcet Paradox to Nash Equilibrium

https://github.com/szucchini/racewalk-aijudge

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Automatic detection of faults in race walking from a smartphone camera: a comparison of an Olympic medalist and university athletes

https://github.com/taco-group/autotrust

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AutoTrust: Benchmarking Trustworthiness in Large Vision Language Models for Autonomous Driving

https://github.com/tailequy/fairness_dataset

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A survey on datasets for fairness-aware machine learning

https://github.com/talwagner/fair_clustering

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Scalable Fair Clustering

https://github.com/tanyelai/lingda

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Developing Linguistic Patterns to Mitigate Inherent Human Bias in Offensive Language Detection

https://github.com/tanyichern/social-biases-contextualized

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Assessing Social and Intersectional Biases in Contextualized Word Representations

https://github.com/taoqi98/fairvfl

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FairVFL: A Fair Vertical Federated Learning Framework with Contrastive Adversarial Learning

https://github.com/taoqi98/profairrec

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ProFairRec: Provider Fairness-aware News Recommendation

https://github.com/taosheng-ty/wsdm22-mcfair

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Marginal-Certainty-aware Fair Ranking Algorithm

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