Guardado en:
| Autores principales: | Ma, Shih-Chi, Ermakova, Tatiana, Fabian, Benjamin |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | https://arxiv.org/abs/2401.02183 |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods
por: Han, Xiaotian, et al.
Publicado: (2023)
por: Han, Xiaotian, et al.
Publicado: (2023)
FairPOT: Balancing AUC Performance and Fairness with Proportional Optimal Transport
por: Liu, Pengxi, et al.
Publicado: (2025)
por: Liu, Pengxi, et al.
Publicado: (2025)
Fairness in Federated Learning: Fairness for Whom?
por: Taik, Afaf, et al.
Publicado: (2025)
por: Taik, Afaf, et al.
Publicado: (2025)
OxonFair: A Flexible Toolkit for Algorithmic Fairness
por: Delaney, Eoin, et al.
Publicado: (2024)
por: Delaney, Eoin, et al.
Publicado: (2024)
SimFair: Physics-Guided Fairness-Aware Learning with Simulation Models
por: Wang, Zhihao, et al.
Publicado: (2024)
por: Wang, Zhihao, et al.
Publicado: (2024)
Is it Still Fair? A Comparative Evaluation of Fairness Algorithms through the Lens of Covariate Drift
por: Deho, Oscar Blessed, et al.
Publicado: (2024)
por: Deho, Oscar Blessed, et al.
Publicado: (2024)
Fair Risk Control: A Generalized Framework for Calibrating Multi-group Fairness Risks
por: Zhang, Lujing, et al.
Publicado: (2024)
por: Zhang, Lujing, et al.
Publicado: (2024)
Data Augmentation via Diffusion Model to Enhance AI Fairness
por: Blow, Christina Hastings, et al.
Publicado: (2024)
por: Blow, Christina Hastings, et al.
Publicado: (2024)
A Unifying Human-Centered AI Fairness Framework
por: Rahman, Munshi Mahbubur, et al.
Publicado: (2025)
por: Rahman, Munshi Mahbubur, et al.
Publicado: (2025)
FairPFN: Transformers Can do Counterfactual Fairness
por: Robertson, Jake, et al.
Publicado: (2024)
por: Robertson, Jake, et al.
Publicado: (2024)
FairMT: Fairness for Heterogeneous Multi-Task Learning
por: Hu, Guanyu, et al.
Publicado: (2025)
por: Hu, Guanyu, et al.
Publicado: (2025)
Fair CCA for Fair Representation Learning: An ADNI Study
por: Hou, Bojian, et al.
Publicado: (2025)
por: Hou, Bojian, et al.
Publicado: (2025)
FairJob: A Real-World Dataset for Fairness in Online Systems
por: Vladimirova, Mariia, et al.
Publicado: (2024)
por: Vladimirova, Mariia, et al.
Publicado: (2024)
Integrating Fairness and Model Pruning Through Bi-level Optimization
por: Dai, Yucong, et al.
Publicado: (2023)
por: Dai, Yucong, et al.
Publicado: (2023)
Remembering to Be Fair: Non-Markovian Fairness in Sequential Decision Making
por: Alamdari, Parand A., et al.
Publicado: (2023)
por: Alamdari, Parand A., et al.
Publicado: (2023)
A Post-Processing-Based Fair Federated Learning Framework
por: Zhou, Yi, et al.
Publicado: (2025)
por: Zhou, Yi, et al.
Publicado: (2025)
FairSHAP: Preprocessing for Fairness Through Attribution-Based Data Augmentation
por: Zhu, Lin, et al.
Publicado: (2025)
por: Zhu, Lin, et al.
Publicado: (2025)
A Comparative Simulation Study of the Fairness and Accuracy of Predictive Policing Systems in Baltimore City
por: Semsar, Samin, et al.
Publicado: (2026)
por: Semsar, Samin, et al.
Publicado: (2026)
The Pursuit of Fairness in Artificial Intelligence Models: A Survey
por: Kheya, Tahsin Alamgir, et al.
Publicado: (2024)
por: Kheya, Tahsin Alamgir, et al.
Publicado: (2024)
FairSample: Training Fair and Accurate Graph Convolutional Neural Networks Efficiently
por: Cong, Zicun, et al.
Publicado: (2024)
por: Cong, Zicun, et al.
Publicado: (2024)
BaBE: Enhancing Fairness via Estimation of Latent Explaining Variables
por: Binkyte, Ruta, et al.
Publicado: (2023)
por: Binkyte, Ruta, et al.
Publicado: (2023)
On Fairness of Low-Rank Adaptation of Large Models
por: Ding, Zhoujie, et al.
Publicado: (2024)
por: Ding, Zhoujie, et al.
Publicado: (2024)
LangFair: A Python Package for Assessing Bias and Fairness in Large Language Model Use Cases
por: Bouchard, Dylan, et al.
Publicado: (2025)
por: Bouchard, Dylan, et al.
Publicado: (2025)
Do Fair Models Reason Fairly? Counterfactual Explanation Consistency for Procedural Fairness in Credit Decisions
por: Popoola, Gideon, et al.
Publicado: (2026)
por: Popoola, Gideon, et al.
Publicado: (2026)
Counterfactual Fairness with Graph Uncertainty
por: Valério, Davi, et al.
Publicado: (2026)
por: Valério, Davi, et al.
Publicado: (2026)
Perturbation Effects on Accuracy and Fairness among Similar Individuals
por: Li, Xuran, et al.
Publicado: (2024)
por: Li, Xuran, et al.
Publicado: (2024)
FairTargetSim: An Interactive Simulator for Understanding and Explaining the Fairness Effects of Target Variable Definition
por: Gala, Dalia, et al.
Publicado: (2024)
por: Gala, Dalia, et al.
Publicado: (2024)
Fairness Evaluation for Uplift Modeling in the Absence of Ground Truth
por: Kadioglu, Serdar, et al.
Publicado: (2024)
por: Kadioglu, Serdar, et al.
Publicado: (2024)
On the Need and Applicability of Causality for Fairness: A Unified Framework for AI Auditing and Legal Analysis
por: Binkyte, Ruta, et al.
Publicado: (2022)
por: Binkyte, Ruta, et al.
Publicado: (2022)
FairDD: Fair Dataset Distillation
por: Zhou, Qihang, et al.
Publicado: (2024)
por: Zhou, Qihang, et al.
Publicado: (2024)
Causal Fairness under Unobserved Confounding: A Neural Sensitivity Framework
por: Schröder, Maresa, et al.
Publicado: (2023)
por: Schröder, Maresa, et al.
Publicado: (2023)
Fair Machine Learning in Healthcare: A Review
por: Feng, Qizhang, et al.
Publicado: (2022)
por: Feng, Qizhang, et al.
Publicado: (2022)
Fairness of ChatGPT
por: Li, Yunqi, et al.
Publicado: (2023)
por: Li, Yunqi, et al.
Publicado: (2023)
Bias and Fairness in Large Language Models: A Survey
por: Gallegos, Isabel O., et al.
Publicado: (2023)
por: Gallegos, Isabel O., et al.
Publicado: (2023)
Learning Fair Models without Sensitive Attributes: A Generative Approach
por: Zhu, Huaisheng, et al.
Publicado: (2022)
por: Zhu, Huaisheng, et al.
Publicado: (2022)
Learning Fairer Representations with FairVIC
por: Barker, Charmaine, et al.
Publicado: (2024)
por: Barker, Charmaine, et al.
Publicado: (2024)
Size-adaptive Hypothesis Testing for Fairness
por: Ferrara, Antonio, et al.
Publicado: (2025)
por: Ferrara, Antonio, et al.
Publicado: (2025)
GESD: Beyond Outcome-Oriented Fairness
por: Popoola, Gideon, et al.
Publicado: (2026)
por: Popoola, Gideon, et al.
Publicado: (2026)
Inducing Group Fairness in Prompt-Based Language Model Decisions
por: Atwood, James, et al.
Publicado: (2024)
por: Atwood, James, et al.
Publicado: (2024)
Evaluating Large Language Models for Fair and Reliable Organ Allocation
por: Kim, Brian Hyeongseok, et al.
Publicado: (2025)
por: Kim, Brian Hyeongseok, et al.
Publicado: (2025)
Ejemplares similares
-
FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods
por: Han, Xiaotian, et al.
Publicado: (2023) -
FairPOT: Balancing AUC Performance and Fairness with Proportional Optimal Transport
por: Liu, Pengxi, et al.
Publicado: (2025) -
Fairness in Federated Learning: Fairness for Whom?
por: Taik, Afaf, et al.
Publicado: (2025) -
OxonFair: A Flexible Toolkit for Algorithmic Fairness
por: Delaney, Eoin, et al.
Publicado: (2024) -
SimFair: Physics-Guided Fairness-Aware Learning with Simulation Models
por: Wang, Zhihao, et al.
Publicado: (2024)