| Fair Disaster Containment via Graph-Cut Problems | Jun 9, 2021 | Combinatorial OptimizationFairness | —Unverified | 0 |
| A New Notion of Individually Fair Clustering: α-Equitable k-Center | Jun 9, 2021 | ClusteringFairness | CodeCode Available | 0 |
| Fairness-Aware Node Representation Learning | Jun 9, 2021 | Contrastive LearningFairness | —Unverified | 0 |
| FairCal: Fairness Calibration for Face Verification | Jun 7, 2021 | AttributeFace Recognition | —Unverified | 0 |
| Securing Secure Aggregation: Mitigating Multi-Round Privacy Leakage in Federated Learning | Jun 7, 2021 | FairnessFederated Learning | —Unverified | 0 |
| Highlighting the Importance of Reducing Research Bias and Carbon Emissions in CNNs | Jun 6, 2021 | Fairness | —Unverified | 0 |
| Path-specific Effects Based on Information Accounts of Causality | Jun 6, 2021 | Fairness | —Unverified | 0 |
| Tetrad: Actively Secure 4PC for Secure Training and Inference | Jun 5, 2021 | BenchmarkingFairness | —Unverified | 0 |
| Conditional Contrastive Learning for Improving Fairness in Self-Supervised Learning | Jun 5, 2021 | AttributeContrastive Learning | —Unverified | 0 |
| Fairness-Aware Unsupervised Feature Selection | Jun 4, 2021 | Fairnessfeature selection | —Unverified | 0 |
| Fair Exploration via Axiomatic Bargaining | Jun 4, 2021 | FairnessMulti-Armed Bandits | —Unverified | 0 |
| Differentially Empirical Risk Minimization under the Fairness Lens | Jun 4, 2021 | Fairness | —Unverified | 0 |
| Towards Fairness Certification in Artificial Intelligence | Jun 4, 2021 | BIG-bench Machine LearningDecision Making | —Unverified | 0 |
| Strategyproof Learning: Building Trustworthy User-Generated Datasets | Jun 4, 2021 | Fairness | CodeCode Available | 0 |
| Towards Equal Gender Representation in the Annotations of Toxic Language Detection | Jun 4, 2021 | Fairness | —Unverified | 0 |
| Subgroup Fairness in Two-Sided Markets | Jun 4, 2021 | FairnessVocal Bursts Valence Prediction | CodeCode Available | 0 |
| Understanding and Improving Fairness-Accuracy Trade-offs in Multi-Task Learning | Jun 4, 2021 | FairnessMulti-Task Learning | —Unverified | 0 |
| Causality in Neural Networks -- An Extended Abstract | Jun 3, 2021 | BIG-bench Machine LearningDisentanglement | —Unverified | 0 |
| Optimizing Rankings for Recommendation in Matching Markets | Jun 3, 2021 | FairnessRecommendation Systems | —Unverified | 0 |
| Fair Machine Learning under Limited Demographically Labeled Data | Jun 3, 2021 | BIG-bench Machine LearningBilevel Optimization | CodeCode Available | 0 |
| Testing Group Fairness via Optimal Transport Projections | Jun 2, 2021 | Fairness | —Unverified | 0 |
| Fair Clustering Using Antidote Data | Jun 1, 2021 | ClusteringFairness | —Unverified | 0 |
| Zipf Matrix Factorization : Matrix Factorization with Matthew Effect Reduction | Jun 1, 2021 | FairnessLearning-To-Rank | CodeCode Available | 0 |
| A Clarification of the Nuances in the Fairness Metrics Landscape | Jun 1, 2021 | BIG-bench Machine LearningDecision Making | CodeCode Available | 0 |
| Information Theoretic Measures for Fairness-aware Feature Selection | Jun 1, 2021 | Decision MakingFairness | —Unverified | 0 |