| Collaboration Challenges in Building ML-Enabled Systems: Communication, Documentation, Engineering, and Process | Oct 19, 2021 | Fairness | —Unverified | 0 |
| Don't Judge Me by My Face : An Indirect Adversarial Approach to Remove Sensitive Information From Multimodal Neural Representation in Asynchronous Job Video Interviews | Oct 18, 2021 | Decision MakingFairness | —Unverified | 0 |
| Fair Tree Classifier using Strong Demographic Parity | Oct 18, 2021 | AttributeClassification | CodeCode Available | 0 |
| Poisoning Attacks on Fair Machine Learning | Oct 17, 2021 | BIG-bench Machine LearningFairness | —Unverified | 0 |
| Developing a novel fair-loan-predictor through a multi-sensitive debiasing pipeline: DualFair | Oct 17, 2021 | Fairness | CodeCode Available | 0 |
| Dynamic Slimmable Denoising Network | Oct 17, 2021 | DenoisingFairness | —Unverified | 0 |
| Nothing Wasted: Full Contribution Enforcement in Federated Edge Learning | Oct 15, 2021 | AllEdge-computing | —Unverified | 0 |
| GrowSpace: Learning How to Shape Plants | Oct 15, 2021 | FairnessReinforcement Learning (RL) | —Unverified | 0 |
| Making Corgis Important for Honeycomb Classification: Adversarial Attacks on Concept-based Explainability Tools | Oct 14, 2021 | Adversarial AttackFairness | —Unverified | 0 |
| Recommending POIs for Tourists by User Behavior Modeling and Pseudo-Rating | Oct 13, 2021 | FairnessRecommendation Systems | CodeCode Available | 0 |