| User-oriented Fairness in Recommendation | Apr 21, 2021 | FairnessRecommendation Systems | CodeCode Available | 1 |
| The probabilistic rank random assignment rule and its axiomatic characterization | Apr 19, 2021 | Fairness | —Unverified | 0 |
| TFROM: A Two-sided Fairness-Aware Recommendation Model for Both Customers and Providers | Apr 19, 2021 | FairnessRecommendation Systems | —Unverified | 0 |
| Fair Representation Learning for Heterogeneous Information Networks | Apr 18, 2021 | FairnessRepresentation Learning | CodeCode Available | 0 |
| Are Word Embedding Methods Stable and Should We Care About It? | Apr 17, 2021 | ClusteringFairness | —Unverified | 0 |
| Welfare Measure for Resource Allocation with Algorithmic Implementation: Beyond Average and Max-Min | Apr 16, 2021 | Fairness | —Unverified | 0 |
| Can Active Learning Preemptively Mitigate Fairness Issues? | Apr 14, 2021 | Active LearningFairness | CodeCode Available | 1 |
| On the Impact of Random Seeds on the Fairness of Clinical Classifiers | Apr 13, 2021 | Fairness | —Unverified | 0 |
| Towards Algorithmic Transparency: A Diversity Perspective | Apr 12, 2021 | DiversityFairness | —Unverified | 0 |
| Understanding Prediction Discrepancies in Machine Learning Classifiers | Apr 12, 2021 | BIG-bench Machine LearningFairness | —Unverified | 0 |
