| Contrastive Mixture of Posteriors for Counterfactual Inference, Data Integration and Fairness | Jun 15, 2021 | counterfactualCounterfactual Inference | CodeCode Available | 1 |
| Fair Normalizing Flows | Jun 10, 2021 | FairnessRepresentation Learning | CodeCode Available | 1 |
| 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 |
| PreferenceNet: Encoding Human Preferences in Auction Design with Deep Learning | Jun 6, 2021 | Deep LearningDiversity | CodeCode Available | 1 |
| NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning | Jun 3, 2021 | Additive modelsDeep Learning | CodeCode Available | 1 |
| Uncertainty Quantification 360: A Holistic Toolkit for Quantifying and Communicating the Uncertainty of AI | Jun 2, 2021 | FairnessUncertainty Quantification | 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 |
| DISSECT: Disentangled Simultaneous Explanations via Concept Traversals | May 31, 2021 | counterfactualFairness | CodeCode Available | 1 |
| SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-Learning | May 31, 2021 | FairnessMulti-agent Reinforcement Learning | CodeCode Available | 1 |
