| Fair AutoML Through Multi-objective Optimization | Sep 29, 2021 | AutoMLFairness | —Unverified | 0 |
| Fine-Tuning from Limited Feedbacks | Sep 29, 2021 | Fairness | —Unverified | 0 |
| Reinforcement Learning with Ex-Post Max-Min Fairness | Sep 29, 2021 | Fairnessreinforcement-learning | —Unverified | 0 |
| On Learning with Fairness Trade-Offs | Sep 29, 2021 | Fairness | —Unverified | 0 |
| Non-convex Optimization for Learning a Fair Predictor under Equalized Loss Fairness Constraint | Sep 29, 2021 | Face RecognitionFairness | —Unverified | 0 |
| A new look at fairness in stochastic multi-armed bandit problems | Sep 29, 2021 | Fairness | —Unverified | 0 |
| Exploring unfairness in Integrated Gradients based attribution methods | Sep 29, 2021 | Fairness | —Unverified | 0 |
| Debiasing Pretrained Text Encoders by Paying Attention to Paying Attention | Sep 29, 2021 | FairnessRepresentation Learning | —Unverified | 0 |
| Generalized Demographic Parity for Group Fairness | Sep 29, 2021 | AttributeFairness | CodeCode Available | 0 |
| Understanding Overfitting in Reweighting Algorithms for Worst-group Performance | Sep 29, 2021 | Data AugmentationFairness | —Unverified | 0 |
| Diverse Client Selection for Federated Learning via Submodular Maximization | Sep 29, 2021 | FairnessFederated Learning | —Unverified | 0 |
| Fairness in Representation for Multilingual NLP: Insights from Controlled Experiments on Conditional Language Modeling | Sep 29, 2021 | FairnessLanguage Modeling | —Unverified | 0 |
| Fairness Guarantees under Demographic Shift | Sep 29, 2021 | Fairness | —Unverified | 0 |
| Scaling Fair Learning to Hundreds of Intersectional Groups | Sep 29, 2021 | AttributeFairness | —Unverified | 0 |
| Fairness-aware Federated Learning | Sep 29, 2021 | FairnessFederated Learning | —Unverified | 0 |
| Adversarial Fairness Network | Sep 29, 2021 | BIG-bench Machine LearningFairness | —Unverified | 0 |
| Equalized Robustness: Towards Sustainable Fairness Under Distributional Shifts | Sep 29, 2021 | Fairness | —Unverified | 0 |
| An Empirical Study of Accuracy, Fairness, Explainability, Distributional Robustness, and Adversarial Robustness | Sep 29, 2021 | Adversarial RobustnessFairness | —Unverified | 0 |
| Fairness-Driven Private Collaborative Machine Learning | Sep 29, 2021 | BIG-bench Machine LearningFairness | —Unverified | 0 |
| A Sociotechnical View of Algorithmic Fairness | Sep 27, 2021 | ArticlesDecision Making | —Unverified | 0 |
| Mitigating Racial Biases in Toxic Language Detection with an Equity-Based Ensemble Framework | Sep 27, 2021 | DescriptiveFairness | CodeCode Available | 0 |
| Equality of opportunity in travel behavior prediction with deep neural networks and discrete choice models | Sep 25, 2021 | Discrete Choice ModelsFairness | CodeCode Available | 0 |
| On the Fairness of Swarm Learning in Skin Lesion Classification | Sep 24, 2021 | ClassificationEdge-computing | —Unverified | 0 |
| SD-QA: Spoken Dialectal Question Answering for the Real World | Sep 24, 2021 | FairnessQuestion Answering | CodeCode Available | 1 |
| SGDE: Secure Generative Data Exchange for Cross-Silo Federated Learning | Sep 24, 2021 | BIG-bench Machine LearningFairness | —Unverified | 0 |