| Taking Advantage of Multitask Learning for Fair Classification | Oct 19, 2018 | ClassificationDecision Making | —Unverified | 0 | 0 |
| Taking Training Seriously: Human Guidance and Management-Based Regulation of Artificial Intelligence | Feb 13, 2024 | FairnessManagement | —Unverified | 0 | 0 |
| Algorithmic Challenges in Ensuring Fairness at the Time of Decision | Mar 16, 2021 | Decision MakingFairness | —Unverified | 0 | 0 |
| Targeted Learning for Data Fairness | Feb 6, 2025 | Fairness | —Unverified | 0 | 0 |
| Targeting the Core: A Simple and Effective Method to Attack RAG-based Agents via Direct LLM Manipulation | Dec 5, 2024 | FairnessRAG | —Unverified | 0 | 0 |
| Target specification bias, counterfactual prediction, and algorithmic fairness in healthcare | Aug 3, 2023 | counterfactualFairness | —Unverified | 0 | 0 |
| Intelligent Offloading in Vehicular Edge Computing: A Comprehensive Review of Deep Reinforcement Learning Approaches and Architectures | Feb 10, 2025 | Decision MakingDeep Reinforcement Learning | —Unverified | 0 | 0 |
| Taxonomizing Representational Harms using Speech Act Theory | Apr 1, 2025 | Fairnessvalid | —Unverified | 0 | 0 |
| TDLS: A Top-Down Layer Searching Algorithm for Generating Counterfactual Visual Explanation | Aug 8, 2021 | counterfactualCounterfactual Explanation | —Unverified | 0 | 0 |
| Reproducibility as a Mechanism for Teaching Fairness, Accountability, Confidentiality, and Transparency in Artificial Intelligence | Nov 1, 2021 | Fairness | —Unverified | 0 | 0 |
