| Computationally Efficient Optimization of Plackett-Luce Ranking Models for Relevance and Fairness | May 3, 2021 | Fairness | CodeCode Available | 1 | 5 |
| Consumer Fairness in Recommender Systems: Contextualizing Definitions and Mitigations | Jan 21, 2022 | FairnessRecommendation Systems | CodeCode Available | 1 | 5 |
| Bias in Machine Learning Software: Why? How? What to do? | May 25, 2021 | AttributeBIG-bench Machine Learning | CodeCode Available | 1 | 5 |
| Bias Propagation in Federated Learning | Sep 5, 2023 | FairnessFederated Learning | CodeCode Available | 1 | 5 |
| BiasPruner: Debiased Continual Learning for Medical Image Classification | Jul 11, 2024 | ClassificationContinual Learning | CodeCode Available | 1 | 5 |
| Bias Runs Deep: Implicit Reasoning Biases in Persona-Assigned LLMs | Nov 8, 2023 | FairnessMath | CodeCode Available | 1 | 5 |
| 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 | 5 |
| Collaborative Fairness in Federated Learning | Aug 27, 2020 | Collaborative FairnessFairness | CodeCode Available | 1 | 5 |
| Global Concept Explanations for Graphs by Contrastive Learning | Apr 25, 2024 | Contrastive LearningFairness | CodeCode Available | 1 | 5 |
| Comparing SNNs and RNNs on Neuromorphic Vision Datasets: Similarities and Differences | May 2, 2020 | FairnessGesture Recognition | CodeCode Available | 1 | 5 |
