| 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 |
| Fair Disaster Containment via Graph-Cut Problems | Jun 9, 2021 | Combinatorial OptimizationFairness | —Unverified | 0 |
| Deep Clustering based Fair Outlier Detection | Jun 9, 2021 | AttributeClustering | CodeCode Available | 1 |
| Benchmarking Bias Mitigation Algorithms in Representation Learning through Fairness Metrics | Jun 8, 2021 | Age And Gender ClassificationBenchmarking | CodeCode Available | 1 |
| Securing Secure Aggregation: Mitigating Multi-Round Privacy Leakage in Federated Learning | Jun 7, 2021 | FairnessFederated Learning | —Unverified | 0 |
| FairCal: Fairness Calibration for Face Verification | Jun 7, 2021 | AttributeFace Recognition | —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 |
| PreferenceNet: Encoding Human Preferences in Auction Design with Deep Learning | Jun 6, 2021 | Deep LearningDiversity | CodeCode Available | 1 |
