| Controlling Directions Orthogonal to a Classifier | Jan 27, 2022 | Domain AdaptationFairness | CodeCode Available | 1 |
| Learning Optimal Fair Classification Trees: Trade-offs Between Interpretability, Fairness, and Accuracy | Jan 24, 2022 | ClassificationFairness | CodeCode Available | 1 |
| Consumer Fairness in Recommender Systems: Contextualizing Definitions and Mitigations | Jan 21, 2022 | FairnessRecommendation Systems | CodeCode Available | 1 |
| Learning Fair Node Representations with Graph Counterfactual Fairness | Jan 10, 2022 | Attributecounterfactual | CodeCode Available | 1 |
| AugmentedPCA: A Python Package of Supervised and Adversarial Linear Factor Models | Jan 7, 2022 | Fairness | CodeCode Available | 1 |
| AutoBalance: Optimized Loss Functions for Imbalanced Data | Jan 4, 2022 | Data AugmentationFairness | CodeCode Available | 1 |
| Towards Fair Recommendation in Two-Sided Platforms | Dec 26, 2021 | FairnessVocal Bursts Valence Prediction | CodeCode Available | 1 |
| Learning Fair Classifiers with Partially Annotated Group Labels | Nov 29, 2021 | Fairness | CodeCode Available | 1 |
| Deformable ProtoPNet: An Interpretable Image Classifier Using Deformable Prototypes | Nov 29, 2021 | FairnessImage Classification | CodeCode Available | 1 |
| Latent Space Smoothing for Individually Fair Representations | Nov 26, 2021 | FairnessRepresentation Learning | CodeCode Available | 1 |
| Personalized Federated Learning through Local Memorization | Nov 17, 2021 | Binary ClassificationFairness | CodeCode Available | 1 |
| Resource-Efficient Federated Learning | Nov 1, 2021 | FairnessFederated Learning | CodeCode Available | 1 |
| Improving Fairness via Federated Learning | Oct 29, 2021 | FairnessFederated Learning | CodeCode Available | 1 |
| VACA: Design of Variational Graph Autoencoders for Interventional and Counterfactual Queries | Oct 27, 2021 | Causal Inferencecounterfactual | CodeCode Available | 1 |
| DECAF: Generating Fair Synthetic Data Using Causally-Aware Generative Networks | Oct 25, 2021 | Fairness | CodeCode Available | 1 |
| MaGNET: Uniform Sampling from Deep Generative Network Manifolds Without Retraining | Oct 15, 2021 | Data AugmentationDomain Adaptation | CodeCode Available | 1 |
| Collective eXplainable AI: Explaining Cooperative Strategies and Agent Contribution in Multiagent Reinforcement Learning with Shapley Values | Oct 4, 2021 | Decision MakingDeep Reinforcement Learning | CodeCode Available | 1 |
| A survey on datasets for fairness-aware machine learning | Oct 1, 2021 | AttributeBIG-bench Machine Learning | CodeCode Available | 1 |
| SD-QA: Spoken Dialectal Question Answering for the Real World | Sep 24, 2021 | FairnessQuestion Answering | CodeCode Available | 1 |
| Fast and Efficient MMD-based Fair PCA via Optimization over Stiefel Manifold | Sep 23, 2021 | Fairness | CodeCode Available | 1 |
| DS-Net++: Dynamic Weight Slicing for Efficient Inference in CNNs and Transformers | Sep 21, 2021 | FairnessModel Compression | CodeCode Available | 1 |
| Pareto Optimality for Fairness-constrained Collaborative Filtering | Sep 17, 2021 | Collaborative FilteringFairness | CodeCode Available | 1 |
| On Tilted Losses in Machine Learning: Theory and Applications | Sep 13, 2021 | BIG-bench Machine LearningFairness | CodeCode Available | 1 |
| Learning-Based Downlink Power Allocation in Cell-Free Massive MIMO Systems | Sep 7, 2021 | Fairness | CodeCode Available | 1 |
| Amazon SageMaker Clarify: Machine Learning Bias Detection and Explainability in the Cloud | Sep 7, 2021 | Bias DetectionBIG-bench Machine Learning | CodeCode Available | 1 |
