| On Responsible Machine Learning Datasets with Fairness, Privacy, and Regulatory Norms | Oct 24, 2023 | Fairness | —Unverified | 0 |
| Learning Fair Representations with High-Confidence Guarantees | Oct 23, 2023 | AllFairness | CodeCode Available | 0 |
| "One-Size-Fits-All"? Examining Expectations around What Constitute "Fair" or "Good" NLG System Behaviors | Oct 23, 2023 | AllFairness | —Unverified | 0 |
| A Canonical Data Transformation for Achieving Inter- and Within-group Fairness | Oct 23, 2023 | Fairness | —Unverified | 0 |
| Marginal Nodes Matter: Towards Structure Fairness in Graphs | Oct 23, 2023 | Fairness | —Unverified | 0 |
| Confronting LLMs with Traditional ML: Rethinking the Fairness of Large Language Models in Tabular Classifications | Oct 23, 2023 | FairnessIn-Context Learning | —Unverified | 0 |
| Towards Conceptualization of "Fair Explanation": Disparate Impacts of anti-Asian Hate Speech Explanations on Content Moderators | Oct 23, 2023 | counterfactualCounterfactual Explanation | CodeCode Available | 0 |
| Fairness-aware Optimal Graph Filter Design | Oct 22, 2023 | Decision MakingFairness | —Unverified | 0 |
| Robust NOMA-assisted OTFS-ISAC Network Design with 3D Motion Prediction Topology | Oct 21, 2023 | FairnessIntegrated sensing and communication | —Unverified | 0 |
| Distributionally Robust Optimization with Bias and Variance Reduction | Oct 21, 2023 | Fairness | —Unverified | 0 |
