Papers with Code 아카이브
Fairness
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 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/felix-st/fairglvq
공식 코드https://github.com/fer-agathe/parisian_real_estate
공식 코드Geospatial Disparities: A Case Study on Real Estate Prices in Paris
https://github.com/fer-agathe/sequential_transport
공식 코드Sequential Conditional Transport on Probabilistic Graphs for Interpretable Counterfactual Fairness
https://github.com/fer-agathe/transport-simplex
공식 코드https://github.com/ffaisal93/sd-qa
공식 코드SD-QA: Spoken Dialectal Question Answering for the Real World
https://github.com/ffattr/ffa
공식 코드https://github.com/fidelity/jurity
공식 코드Fairness Evaluation for Uplift Modeling in the Absence of Ground Truth
https://github.com/filippobistaffa/social-choice-pnorm
공식 코드https://github.com/fionaz3696/adaptively-fair-conformal-prediction
공식 코드Conformal Classification with Equalized Coverage for Adaptively Selected Groups
https://github.com/forblindrev/aibias
공식 코드Fair and accurate age prediction using distribution aware data curation and augmentation
https://github.com/frederikhj/unfair-utilities
공식 코드https://github.com/ftraeuble/disentanglement_lib
공식 코드On Disentangled Representations Learned From Correlated Data
https://github.com/fuenwang/mixfairface
공식 코드MixFairFace: Towards Ultimate Fairness via MixFair Adapter in Face Recognition
https://github.com/furkangursoy/equalconfusion
공식 코드Equal Confusion Fairness: Measuring Group-Based Disparities in Automated Decision Systems
https://github.com/g8a9/ear
공식 코드Entropy-based Attention Regularization Frees Unintended Bias Mitigation from Lists
https://github.com/gablabc/fool_shap
공식 코드https://github.com/gabriele-dominici/causalcgm
공식 코드Causal Concept Graph Models: Beyond Causal Opacity in Deep Learning
https://github.com/galdeia/iirsbenchmark
공식 코드https://github.com/garynlfd/kfc
공식 코드KFC: Kinship Verification with Fair Contrastive Loss and Multi-Task Learning
https://github.com/gatorwatt/Paper_Demonstrations/blob/main/Stochastic_Perturbations--Appendix_Demonstrations_022122.ipynb
공식 코드Stochastic Perturbations of Tabular Features for Non-Deterministic Inference with Automunge
https://github.com/gayanku/FDGATII
공식 코드FDGATII : Fast Dynamic Graph Attention with Initial Residual and Identity Mapping
https://github.com/gcosma/themisaipapers-code
공식 코드Identifying Early Help Referrals For Local Authorities With Machine Learning And Bias Analysis
https://github.com/georgehc/survival-intro
공식 코드An Introduction to Deep Survival Analysis Models for Predicting Time-to-Event Outcomes
https://github.com/georgehc/survival-kernets
공식 코드An Introduction to Deep Survival Analysis Models for Predicting Time-to-Event Outcomes
https://github.com/giacoballoccu/rep-path-reasoning-recsys
공식 코드https://github.com/giandos200/ECAI23
공식 코드Counterfactual Reasoning for Bias Evaluation and Detection in a Fairness under Unawareness setting
https://github.com/giangnm58/fair-automl
공식 코드Fix Fairness, Don't Ruin Accuracy: Performance Aware Fairness Repair using AutoML
https://github.com/gianlucarloni/crocodile
공식 코드CROCODILE: Causality aids RObustness via COntrastive DIsentangled LEarning
https://github.com/giseung-park/maxmin-morl
공식 코드https://github.com/giuluck/generalizeddisparateimpact
공식 코드Generalized Disparate Impact for Configurable Fairness Solutions in ML
https://github.com/gnobitab/CertifiedMonotonicNetwork
공식 코드https://github.com/google-deepmind/counterfactual_fairness_evaluation_dataset
공식 코드Debiasing Text Safety Classifiers through a Fairness-Aware Ensemble
https://github.com/google-research-datasets/nlp-fairness-for-india
공식 코드https://github.com/google-research-datasets/seegull-multilingual
공식 코드SeeGULL Multilingual: a Dataset of Geo-Culturally Situated Stereotypes
https://github.com/google-research/big_vision
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.