| Deontological Ethics By Monotonicity Shape Constraints | Jan 31, 2020 | EthicsFairness | CodeCode Available | 1 | 5 |
| CoCoFL: Communication- and Computation-Aware Federated Learning via Partial NN Freezing and Quantization | Mar 10, 2022 | FairnessFederated Learning | CodeCode Available | 1 | 5 |
| Mitigating Unwanted Biases with Adversarial Learning | Jan 22, 2018 | FairnessGeneral Classification | CodeCode Available | 1 | 5 |
| Collaborative Fairness in Federated Learning | Aug 27, 2020 | Collaborative FairnessFairness | CodeCode Available | 1 | 5 |
| Disparate Impact in Differential Privacy from Gradient Misalignment | Jun 15, 2022 | Fairness | CodeCode Available | 1 | 5 |
| MoCA: Memory-Centric, Adaptive Execution for Multi-Tenant Deep Neural Networks | May 10, 2023 | Fairness | CodeCode Available | 1 | 5 |
| Comparing SNNs and RNNs on Neuromorphic Vision Datasets: Similarities and Differences | May 2, 2020 | FairnessGesture Recognition | CodeCode Available | 1 | 5 |
| An Empirical Characterization of Fair Machine Learning For Clinical Risk Prediction | Jul 20, 2020 | BIG-bench Machine LearningDecision Making | CodeCode Available | 1 | 5 |
| Computationally Efficient Optimization of Plackett-Luce Ranking Models for Relevance and Fairness | May 3, 2021 | Fairness | CodeCode Available | 1 | 5 |
| Deformable ProtoPNet: An Interpretable Image Classifier Using Deformable Prototypes | Nov 29, 2021 | FairnessImage Classification | CodeCode Available | 1 | 5 |
