| 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 |
| Deformable ProtoPNet: An Interpretable Image Classifier Using Deformable Prototypes | Nov 29, 2021 | FairnessImage Classification | CodeCode Available | 1 |
| Learning Fair Classifiers with Partially Annotated Group Labels | Nov 29, 2021 | Fairness | 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 |
| TabFairGAN: Fair Tabular Data Generation with Generative Adversarial Networks | Sep 2, 2021 | Decision MakingFairness | CodeCode Available | 1 |
| Learning Optimal Prescriptive Trees from Observational Data | Aug 31, 2021 | Fairness | CodeCode Available | 1 |
| Federated Multi-Task Learning under a Mixture of Distributions | Aug 23, 2021 | FairnessFederated Learning | CodeCode Available | 1 |
| Addressing Algorithmic Disparity and Performance Inconsistency in Federated Learning | Aug 19, 2021 | AllFairness | CodeCode Available | 1 |
| Retiring Adult: New Datasets for Fair Machine Learning | Aug 10, 2021 | BIG-bench Machine LearningFairness | CodeCode Available | 1 |
| ZPY: Open Source Synthetic Data for Computer Vision | Aug 6, 2021 | FairnessSynthetic Data Generation | CodeCode Available | 1 |
| The Devil is in the GAN: Backdoor Attacks and Defenses in Deep Generative Models | Aug 3, 2021 | BIG-bench Machine LearningData Augmentation | CodeCode Available | 1 |
| Counterfactual Inference for Text Classification Debiasing | Aug 1, 2021 | Classificationcounterfactual | CodeCode Available | 1 |
| Debiased Explainable Pairwise Ranking from Implicit Feedback | Jul 30, 2021 | FairnessRecommendation Systems | CodeCode Available | 1 |
| SVEva Fair: A Framework for Evaluating Fairness in Speaker Verification | Jul 26, 2021 | FairnessSpeaker Verification | CodeCode Available | 1 |
| Fairness in Ranking under Uncertainty | Jul 14, 2021 | Decision MakingFairness | CodeCode Available | 1 |
| Privacy Budget Scheduling | Jun 29, 2021 | CPUFairness | CodeCode Available | 1 |
| Towards Understanding and Mitigating Social Biases in Language Models | Jun 24, 2021 | Decision MakingFairness | CodeCode Available | 1 |
| Fairness for Image Generation with Uncertain Sensitive Attributes | Jun 23, 2021 | FairnessImage Generation | CodeCode Available | 1 |
| pysentimiento: A Python Toolkit for Opinion Mining and Social NLP tasks | Jun 17, 2021 | FairnessOpinion Mining | CodeCode Available | 1 |
| Contrastive Mixture of Posteriors for Counterfactual Inference, Data Integration and Fairness | Jun 15, 2021 | counterfactualCounterfactual Inference | CodeCode Available | 1 |
| Fair Normalizing Flows | Jun 10, 2021 | FairnessRepresentation Learning | CodeCode Available | 1 |
| Deep Clustering based Fair Outlier Detection | Jun 9, 2021 | AttributeClustering | CodeCode Available | 1 |
| Benchmarking Bias Mitigation Algorithms in Representation Learning through Fairness Metrics | Jun 8, 2021 | Age And Gender ClassificationBenchmarking | CodeCode Available | 1 |
| PreferenceNet: Encoding Human Preferences in Auction Design with Deep Learning | Jun 6, 2021 | Deep LearningDiversity | CodeCode Available | 1 |
| NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning | Jun 3, 2021 | Additive modelsDeep Learning | CodeCode Available | 1 |
| Uncertainty Quantification 360: A Holistic Toolkit for Quantifying and Communicating the Uncertainty of AI | Jun 2, 2021 | FairnessUncertainty Quantification | CodeCode Available | 1 |
| Fair Preprocessing: Towards Understanding Compositional Fairness of Data Transformers in Machine Learning Pipeline | Jun 2, 2021 | BIG-bench Machine LearningFairness | CodeCode Available | 1 |
| DISSECT: Disentangled Simultaneous Explanations via Concept Traversals | May 31, 2021 | counterfactualFairness | CodeCode Available | 1 |
| SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-Learning | May 31, 2021 | FairnessMulti-agent Reinforcement Learning | CodeCode Available | 1 |
