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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/athenawen/faire-fairness-assessment-in-resume-evaluation
공식 코드FAIRE: Assessing Racial and Gender Bias in AI-Driven Resume Evaluations
https://github.com/atzoriandrea/Exploratory-Analysis-in-Face-Authentication
공식 코드Explaining Bias in Deep Face Recognition via Image Characteristics
https://github.com/audeering/w2v2-how-to
공식 코드Dawn of the transformer era in speech emotion recognition: closing the valence gap
https://github.com/avysogorets/fair-data-pruning
공식 코드https://github.com/avyukta-manjunatha-vummintala/froc_code
공식 코드https://github.com/aws/amazon-sagemaker-clarify
공식 코드Amazon SageMaker Clarify: Machine Learning Bias Detection and Explainability in the Cloud
https://github.com/axa-rev-research/comparing-fairml-strategies
공식 코드When mitigating bias is unfair: multiplicity and arbitrariness in algorithmic group fairness
https://github.com/ayanmaj92/fair-nonbin-treatment
공식 코드A Causal Framework to Measure and Mitigate Non-binary Treatment Discrimination
https://github.com/ayanmaj92/fairall
공식 코드Don't Throw it Away! The Utility of Unlabeled Data in Fair Decision Making
https://github.com/az1326/shortest_paths
공식 코드Efficient Estimation of Shortest-Path Distance Distributions to Samples in Graphs
https://github.com/azalk/Oblivious
공식 코드https://github.com/b08202033/SAKURA
공식 코드https://github.com/b08202033/lalm-evaluation-survey
공식 코드Towards Holistic Evaluation of Large Audio-Language Models: A Comprehensive Survey
https://github.com/badripatro/efficient360
공식 코드https://github.com/banerjeepragyan/CAFIE
공식 코드All Should Be Equal in the Eyes of Language Models: Counterfactually Aware Fair Text Generation
https://github.com/barryhpr/syntheticdebiasing
공식 코드ChatGPT Based Data Augmentation for Improved Parameter-Efficient Debiasing of LLMs
https://github.com/bchugg/auditing-fairness
공식 코드https://github.com/behavioral-informatics-lab/abcinml
공식 코드ABCinML: Anticipatory Bias Correction in Machine Learning Applications
https://github.com/benevolentai/comp
공식 코드Contrastive Mixture of Posteriors for Counterfactual Inference, Data Integration and Fairness
https://github.com/bernard-yang/herb
공식 코드HERB: Measuring Hierarchical Regional Bias in Pre-trained Language Models
https://github.com/bernardo1998/fairgrape
공식 코드FairGRAPE: Fairness-aware GRAdient Pruning mEthod for Face Attribute Classification
https://github.com/beyzabozdag/PersuasionSurvey
공식 코드https://github.com/bhavyaghai/WordBias
공식 코드Towards Fair and Explainable AI using a Human-Centered AI Approach
https://github.com/bhavyaghai/cascaded-debiasing
공식 코드Cascaded Debiasing: Studying the Cumulative Effect of Multiple Fairness-Enhancing Interventions
https://github.com/bigdasgit/dab-gnn
공식 코드https://github.com/bilepeng/risnet_noma
공식 코드https://github.com/biomedical-data-analysis-laboratory/multicentric-ml-parkinson-detection
공식 코드https://github.com/bionlplab/cxrfairness
공식 코드Improving Fairness of Automated Chest X-ray Diagnosis by Contrastive Learning
https://github.com/bjornarvass/fair-vae-rec
공식 코드Providing Previously Unseen Users Fair Recommendations Using Variational Autoencoders
https://github.com/brandeis-machine-learning/FairOutlierDetection
공식 코드https://github.com/brandeis-machine-learning/influence-fairness
공식 코드Achieving Fairness at No Utility Cost via Data Reweighing with Influence
https://github.com/brcsomnath/PEF
공식 코드https://github.com/brcsomnath/aranyani
공식 코드Enhancing Group Fairness in Online Settings Using Oblique Decision Forests
https://github.com/brcsomnath/fairl
공식 코드https://github.com/brcsomnath/farm
공식 코드Learning Fair Representations via Rate-Distortion Maximization
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.