| Individual Fairness for k-Clustering | Feb 17, 2020 | ClusteringFairness | CodeCode Available | 0 |
| Quadratic Metric Elicitation for Fairness and Beyond | Nov 3, 2020 | Fairness | CodeCode Available | 0 |
| Auditing Fairness by Betting | May 27, 2023 | Fairnessvalid | CodeCode Available | 0 |
| F3: Fair and Federated Face Attribute Classification with Heterogeneous Data | Sep 6, 2021 | AttributeClassification | CodeCode Available | 0 |
| DeepMed: Semiparametric Causal Mediation Analysis with Debiased Deep Learning | Oct 10, 2022 | Causal InferenceDeep Learning | CodeCode Available | 0 |
| Deep Learning on a Healthy Data Diet: Finding Important Examples for Fairness | Nov 20, 2022 | counterfactualData Augmentation | CodeCode Available | 0 |
| Individual Fairness Guarantees for Neural Networks | May 11, 2022 | BenchmarkingFairness | CodeCode Available | 0 |
| Individual Fairness in Bayesian Neural Networks | Apr 21, 2023 | Adversarial RobustnessBayesian Inference | CodeCode Available | 0 |
| Discovering Fair Representations in the Data Domain | Oct 15, 2018 | AttributeFairness | CodeCode Available | 0 |
| Approximating Discrimination Within Models When Faced With Several Non-Binary Sensitive Attributes | Aug 12, 2024 | AttributeFairness | CodeCode Available | 0 |
| FairFML: Fair Federated Machine Learning with a Case Study on Reducing Gender Disparities in Cardiac Arrest Outcome Prediction | Oct 7, 2024 | FairnessFederated Learning | CodeCode Available | 0 |
| NeuronFair: Interpretable White-Box Fairness Testing through Biased Neuron Identification | Dec 25, 2021 | Fairness | CodeCode Available | 0 |
| A data-science pipeline to enable the Interpretability of Many-Objective Feature Selection | Nov 30, 2023 | Fairnessfeature selection | CodeCode Available | 0 |
| Neuro-Symbolic Verification of Deep Neural Networks | Mar 2, 2022 | Adversarial RobustnessFairness | CodeCode Available | 0 |
| ABCinML: Anticipatory Bias Correction in Machine Learning Applications | Jun 14, 2022 | BIG-bench Machine LearningFairness | CodeCode Available | 0 |
| New fairness criteria for truncated ballots in multi-winner ranked-choice elections | Aug 7, 2024 | Fairness | CodeCode Available | 0 |
| Deep Fair Discriminative Clustering | May 28, 2021 | ClusteringDeep Clustering | CodeCode Available | 0 |
| Towards causal benchmarking of bias in face analysis algorithms | Jul 13, 2020 | AttributeBenchmarking | CodeCode Available | 0 |
| The FairCeptron: A Framework for Measuring Human Perceptions of Algorithmic Fairness | Feb 8, 2021 | Decision MakingFairness | CodeCode Available | 0 |
| Deep Fair Clustering via Maximizing and Minimizing Mutual Information: Theory, Algorithm and Metric | Sep 26, 2022 | ClusteringFairness | CodeCode Available | 0 |
| Fair Generalized Linear Mixed Models | May 15, 2024 | Fairness | CodeCode Available | 0 |
| Fair Generalized Linear Models with a Convex Penalty | Jun 18, 2022 | Binary ClassificationFairness | CodeCode Available | 0 |
| Fair Generative Models via Transfer Learning | Dec 2, 2022 | FairnessTransfer Learning | CodeCode Available | 0 |
| Individual Preference Stability for Clustering | Jul 7, 2022 | ClusteringFairness | CodeCode Available | 0 |
| What is Fair? Defining Fairness in Machine Learning for Health | Jun 13, 2024 | Decision MakingFairness | CodeCode Available | 0 |
