| FairPut: A Light Framework for Machine Learning Fairness with LightGBM | Oct 22, 2020 | BIG-bench Machine LearningFairness | CodeCode Available | 1 |
| Incorporating Interpretable Output Constraints in Bayesian Neural Networks | Oct 21, 2020 | FairnessUncertainty Quantification | CodeCode Available | 1 |
| RobustBench: a standardized adversarial robustness benchmark | Oct 19, 2020 | Adversarial RobustnessBenchmarking | CodeCode Available | 1 |
| Environment Inference for Invariant Learning | Oct 14, 2020 | Domain GeneralizationFairness | CodeCode Available | 1 |
| On the Fairness of Causal Algorithmic Recourse | Oct 13, 2020 | counterfactualFairness | CodeCode Available | 1 |
| To be Robust or to be Fair: Towards Fairness in Adversarial Training | Oct 13, 2020 | Fairness | CodeCode Available | 1 |
| Learning the Pareto Front with Hypernetworks | Oct 8, 2020 | FairnessMultiobjective Optimization | CodeCode Available | 1 |
| SPPL: Probabilistic Programming with Fast Exact Symbolic Inference | Oct 7, 2020 | FairnessProbabilistic Programming | CodeCode Available | 1 |
| Astraea: Grammar-based Fairness Testing | Oct 6, 2020 | FairnessFault Diagnosis | CodeCode Available | 1 |
| MARS-Gym: A Gym framework to model, train, and evaluate Recommender Systems for Marketplaces | Sep 30, 2020 | FairnessRecommendation Systems | CodeCode Available | 1 |
