| Causality in Neural Networks -- An Extended Abstract | Jun 3, 2021 | BIG-bench Machine LearningDisentanglement | —Unverified | 0 |
| Fair Machine Learning under Limited Demographically Labeled Data | Jun 3, 2021 | BIG-bench Machine LearningBilevel Optimization | CodeCode Available | 0 |
| Optimizing Rankings for Recommendation in Matching Markets | Jun 3, 2021 | FairnessRecommendation Systems | —Unverified | 0 |
| NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning | Jun 3, 2021 | Additive modelsDeep Learning | CodeCode Available | 1 |
| Fair Preprocessing: Towards Understanding Compositional Fairness of Data Transformers in Machine Learning Pipeline | Jun 2, 2021 | BIG-bench Machine LearningFairness | CodeCode Available | 1 |
| Testing Group Fairness via Optimal Transport Projections | Jun 2, 2021 | Fairness | —Unverified | 0 |
| Uncertainty Quantification 360: A Holistic Toolkit for Quantifying and Communicating the Uncertainty of AI | Jun 2, 2021 | FairnessUncertainty Quantification | CodeCode Available | 1 |
| Zipf Matrix Factorization : Matrix Factorization with Matthew Effect Reduction | Jun 1, 2021 | FairnessLearning-To-Rank | CodeCode Available | 0 |
| FiSH: Fair Spatial Hotspots | Jun 1, 2021 | Fairness | —Unverified | 0 |
| Improving Compositionality of Neural Networks by Decoding Representations to Inputs | Jun 1, 2021 | FairnessOut-of-Distribution Detection | —Unverified | 0 |
