| Incentivizing Collaboration in Machine Learning via Synthetic Data Rewards | Dec 17, 2021 | BIG-bench Machine LearningData Valuation | CodeCode Available | 0 |
| SLIDE: a surrogate fairness constraint to ensure fairness consistency | Feb 7, 2022 | Fairnessvalid | CodeCode Available | 0 |
| Can Large Language Models (or Humans) Disentangle Text? | Mar 25, 2024 | Causal InferenceDisentanglement | CodeCode Available | 0 |
| Net benefit, calibration, threshold selection, and training objectives for algorithmic fairness in healthcare | Feb 3, 2022 | Decision MakingFairness | CodeCode Available | 0 |
| Bayesian Importance of Features (BIF) | Oct 26, 2020 | Bayesian InferenceBIG-bench Machine Learning | CodeCode Available | 0 |
| Networked Inequality: Preferential Attachment Bias in Graph Neural Network Link Prediction | Sep 29, 2023 | FairnessGraph Neural Network | CodeCode Available | 0 |
| Can Information Flows Suggest Targets for Interventions in Neural Circuits? | Nov 9, 2021 | AttributeFairness | CodeCode Available | 0 |
| FAIR-FATE: Fair Federated Learning with Momentum | Sep 27, 2022 | FairnessFederated Learning | CodeCode Available | 0 |
| NeuFair: Neural Network Fairness Repair with Dropout | Jul 5, 2024 | Fairness | CodeCode Available | 0 |
| Unveiling the Tapestry of Automated Essay Scoring: A Comprehensive Investigation of Accuracy, Fairness, and Generalizability | Jan 11, 2024 | Automated Essay ScoringFairness | CodeCode Available | 0 |
