| ChaLearn LAP Large Scale Signer Independent Isolated Sign Language Recognition Challenge: Design, Results and Future Research | May 11, 2021 | DiversityFairness | —Unverified | 0 |
| Loss-Aversively Fair Classification | May 10, 2021 | ClassificationDecision Making | CodeCode Available | 0 |
| Accounting for Model Uncertainty in Algorithmic Discrimination | May 10, 2021 | Decision MakingFairness | —Unverified | 0 |
| Dynamic Multichannel Access via Multi-agent Reinforcement Learning: Throughput and Fairness Guarantees | May 10, 2021 | FairnessMulti-agent Reinforcement Learning | —Unverified | 0 |
| Improving Fairness of AI Systems with Lossless De-biasing | May 10, 2021 | Fairness | —Unverified | 0 |
| Societal Biases in Language Generation: Progress and Challenges | May 10, 2021 | FairnessText Generation | CodeCode Available | 1 |
| Transitioning from Real to Synthetic data: Quantifying the bias in model | May 10, 2021 | FairnessSynthetic Data Generation | —Unverified | 0 |
| Consistency of Constrained Spectral Clustering under Graph Induced Fair Planted Partitions | May 8, 2021 | AttributeClustering | —Unverified | 0 |
| Loss Tolerant Federated Learning | May 8, 2021 | FairnessFederated Learning | CodeCode Available | 0 |
| Pairwise Fairness for Ordinal Regression | May 7, 2021 | Binary ClassificationFairness | CodeCode Available | 0 |
