| Fair and Robust Estimation of Heterogeneous Treatment Effects for Policy Learning | Jun 6, 2023 | Fairness | CodeCode Available | 0 |
| Impact Of Missing Data Imputation On The Fairness And Accuracy Of Graph Node Classifiers | Nov 1, 2022 | FairnessImputation | CodeCode Available | 0 |
| SimAug: Enhancing Recommendation with Pretrained Language Models for Dense and Balanced Data Augmentation | May 3, 2025 | Collaborative FilteringData Augmentation | CodeCode Available | 0 |
| Fair admission risk prediction with proportional multicalibration | Sep 29, 2022 | FairnessPrediction | CodeCode Available | 0 |
| Fair and Welfare-Efficient Constrained Multi-matchings under Uncertainty | Nov 4, 2024 | FairnessStochastic Optimization | CodeCode Available | 0 |
| A Differentiable Distance Approximation for Fairer Image Classification | Oct 9, 2022 | ClassificationFairness | CodeCode Available | 0 |
| The Disparate Benefits of Deep Ensembles | Oct 17, 2024 | DiversityFairness | CodeCode Available | 0 |
| Case Study: Predictive Fairness to Reduce Misdemeanor Recidivism Through Social Service Interventions | Jan 24, 2020 | Decision MakingFairness | CodeCode Available | 0 |
| Disentangling, Amplifying, and Debiasing: Learning Disentangled Representations for Fair Graph Neural Networks | Aug 23, 2024 | AttributeDisentanglement | CodeCode Available | 0 |
| Fair Attribute Completion on Graph with Missing Attributes | Feb 25, 2023 | AttributeFairness | CodeCode Available | 0 |
| Fair Augmentation for Graph Collaborative Filtering | Aug 22, 2024 | Collaborative FilteringFairness | CodeCode Available | 0 |
| Simon Says: Evaluating and Mitigating Bias in Pruned Neural Networks with Knowledge Distillation | Jun 15, 2021 | FairnessKnowledge Distillation | CodeCode Available | 0 |
| Implementing Trust in Non-Small Cell Lung Cancer Diagnosis with a Conformalized Uncertainty-Aware AI Framework in Whole-Slide Images | Dec 28, 2024 | Conformal PredictionFairness | CodeCode Available | 0 |
| FairBalance: How to Achieve Equalized Odds With Data Pre-processing | Jul 17, 2021 | BIG-bench Machine LearningFairness | CodeCode Available | 0 |
| Auto-Arena: Automating LLM Evaluations with Agent Peer Battles and Committee Discussions | May 30, 2024 | ChatbotFairness | CodeCode Available | 0 |
| Modeling Disclosive Transparency in NLP Application Descriptions | Jan 2, 2021 | FairnessLanguage Modeling | CodeCode Available | 0 |
| Multi-Objective Recommendation via Multivariate Policy Learning | May 3, 2024 | Decision MakingDiversity | CodeCode Available | 0 |
| A Unifying Post-Processing Framework for Multi-Objective Learn-to-Defer Problems | Jul 17, 2024 | FairnessLEMMA | CodeCode Available | 0 |
| ProPublica's COMPAS Data Revisited | Jun 11, 2019 | Fairness | CodeCode Available | 0 |
| Arbitrariness Lies Beyond the Fairness-Accuracy Frontier | Jun 15, 2023 | Decision MakingFairness | CodeCode Available | 0 |
| Fair Best Arm Identification with Fixed Confidence | Aug 30, 2024 | FairnessScheduling | CodeCode Available | 0 |
| Differentially Private Representation for NLP: Formal Guarantee and An Empirical Study on Privacy and Fairness | Oct 3, 2020 | Fairness | CodeCode Available | 0 |
| Towards Unbiased Evaluation of Time-series Anomaly Detector | Sep 19, 2024 | Anomaly DetectionFairness | CodeCode Available | 0 |
| Welfare and Fairness in Multi-objective Reinforcement Learning | Nov 30, 2022 | FairnessMulti-Objective Reinforcement Learning | CodeCode Available | 0 |
| Achieving Model Fairness in Vertical Federated Learning | Sep 17, 2021 | BIG-bench Machine LearningFairness | CodeCode Available | 0 |
