| Practical Approaches for Fair Learning with Multitype and Multivariate Sensitive Attributes | Nov 11, 2022 | Fairness | —Unverified | 0 |
| Nano: Nested Human-in-the-Loop Reward Learning for Few-shot Language Model Control | Nov 10, 2022 | AttributeFairness | CodeCode Available | 0 |
| Casual Conversations v2: Designing a large consent-driven dataset to measure algorithmic bias and robustness | Nov 10, 2022 | Fairness | —Unverified | 0 |
| Fairness and bias correction in machine learning for depression prediction: results from four study populations | Nov 10, 2022 | FairnessModel Selection | CodeCode Available | 0 |
| Debiasing Methods for Fairer Neural Models in Vision and Language Research: A Survey | Nov 10, 2022 | Decision MakingFairness | —Unverified | 0 |
| Discrimination and Class Imbalance Aware Online Naive Bayes | Nov 9, 2022 | Decision MakingFairness | —Unverified | 0 |
| Reinforcement Learning with Stepwise Fairness Constraints | Nov 8, 2022 | Decision MakingFairness | —Unverified | 0 |
| Bridging Fairness and Environmental Sustainability in Natural Language Processing | Nov 8, 2022 | Dimensionality ReductionFairness | —Unverified | 0 |
| Towards Algorithmic Fairness in Space-Time: Filling in Black Holes | Nov 8, 2022 | Active LearningFairness | —Unverified | 0 |
| Investigating Fairness Disparities in Peer Review: A Language Model Enhanced Approach | Nov 7, 2022 | FairnessLanguage Modeling | CodeCode Available | 1 |
| Predicting Treatment Adherence of Tuberculosis Patients at Scale | Nov 5, 2022 | Fairness | —Unverified | 0 |
| HERB: Measuring Hierarchical Regional Bias in Pre-trained Language Models | Nov 5, 2022 | Fairness | CodeCode Available | 1 |
| Fairness-aware Regression Robust to Adversarial Attacks | Nov 4, 2022 | Fairnessregression | —Unverified | 0 |
| Uncertainty-aware predictive modeling for fair data-driven decisions | Nov 4, 2022 | Fairnessregression | —Unverified | 0 |
| Fair and Efficient Distributed Edge Learning with Hybrid Multipath TCP | Nov 3, 2022 | AvgDeep Reinforcement Learning | —Unverified | 0 |
| Fairness in Federated Learning via Core-Stability | Nov 3, 2022 | Decision MakingFairness | —Unverified | 0 |
| Making Machine Learning Datasets and Models FAIR for HPC: A Methodology and Case Study | Nov 3, 2022 | Fairness | —Unverified | 0 |
| Fair and Optimal Classification via Post-Processing | Nov 3, 2022 | AttributeClassification | CodeCode Available | 1 |
| Can Querying for Bias Leak Protected Attributes? Achieving Privacy With Smooth Sensitivity | Nov 3, 2022 | Attributecompressed sensing | —Unverified | 0 |
| Client Selection in Federated Learning: Principles, Challenges, and Opportunities | Nov 3, 2022 | FairnessFederated Learning | —Unverified | 0 |
| Stability of clinical prediction models developed using statistical or machine learning methods | Nov 2, 2022 | Fairness | —Unverified | 0 |
| Balancing Utility and Fairness in Submodular Maximization (Technical Report) | Nov 2, 2022 | Combinatorial OptimizationData Summarization | CodeCode Available | 0 |
| Fair Visual Recognition via Intervention with Proxy Features | Nov 2, 2022 | Fairness | —Unverified | 0 |
| Rethinking and Improving Robustness of Convolutional Neural Networks: a Shapley Value-based Approach in Frequency Domain | Nov 1, 2022 | Adversarial AttackAdversarial Robustness | CodeCode Available | 1 |
| Fairness without Demographics through Knowledge Distillation | Nov 1, 2022 | FairnessKnowledge Distillation | CodeCode Available | 0 |
