| Measuring Fairness with Biased Rulers: A Survey on Quantifying Biases in Pretrained Language Models | Dec 14, 2021 | AttributeFairness | CodeCode Available | 0 |
| AI Ethics Principles in Practice: Perspectives of Designers and Developers | Dec 14, 2021 | EthicsFairness | —Unverified | 0 |
| Self-Paced Deep Regression Forests with Consideration of Ranking Fairness | Dec 13, 2021 | Age EstimationFairness | CodeCode Available | 0 |
| Data Collection and Quality Challenges in Deep Learning: A Data-Centric AI Perspective | Dec 13, 2021 | BIG-bench Machine LearningFairness | —Unverified | 0 |
| Fairness for Robust Learning to Rank | Dec 12, 2021 | FairnessLearning-To-Rank | —Unverified | 0 |
| Efficient Device Scheduling with Multi-Job Federated Learning | Dec 11, 2021 | Bayesian OptimizationFairness | —Unverified | 0 |
| On Causally Disentangled Representations | Dec 10, 2021 | DisentanglementFairness | CodeCode Available | 0 |
| A Framework for Fairness: A Systematic Review of Existing Fair AI Solutions | Dec 10, 2021 | BIG-bench Machine LearningEthics | —Unverified | 0 |
| Assessing the Fairness of AI Systems: AI Practitioners' Processes, Challenges, and Needs for Support | Dec 10, 2021 | Fairness | —Unverified | 0 |
| On Fair Selection in the Presence of Implicit and Differential Variance | Dec 10, 2021 | Fairness | —Unverified | 0 |
| Fair Community Detection and Structure Learning in Heterogeneous Graphical Models | Dec 9, 2021 | Community DetectionFairness | —Unverified | 0 |
| Assessing Fairness in the Presence of Missing Data | Dec 7, 2021 | FairnessMissing Values | —Unverified | 0 |
| ZeroMat: Solving Cold-start Problem of Recommender System with No Input Data | Dec 6, 2021 | FairnessRecommendation Systems | —Unverified | 0 |
| A Marketplace for Trading AI Models based on Blockchain and Incentives for IoT Data | Dec 6, 2021 | Fairness | —Unverified | 0 |
| Modification-Fair Cluster Editing | Dec 6, 2021 | Fairness | —Unverified | 0 |
| MatMat: Matrix Factorization by Matrix Fitting | Dec 6, 2021 | FairnessMulti-Task Learning | —Unverified | 0 |
| Unfairness Despite Awareness: Group-Fair Classification with Strategic Agents | Dec 6, 2021 | ClassificationDecision Making | —Unverified | 0 |
| Encouraging Disentangled and Convex Representation with Controllable Interpolation Regularization | Dec 6, 2021 | Data AugmentationDisentanglement | —Unverified | 0 |
| Thinking Beyond Distributions in Testing Machine Learned Models | Dec 6, 2021 | BIG-bench Machine LearningFairness | —Unverified | 0 |
| SHAPr: An Efficient and Versatile Membership Privacy Risk Metric for Machine Learning | Dec 4, 2021 | BIG-bench Machine LearningData Valuation | —Unverified | 0 |
| Counterfactual Fairness in Mortgage Lending via Matching and Randomization | Dec 3, 2021 | BIG-bench Machine Learningcounterfactual | CodeCode Available | 0 |
| Learning Emergent Random Access Protocol for LEO Satellite Networks | Dec 3, 2021 | Deep Reinforcement LearningFairness | —Unverified | 0 |
| Learning Optimal Predictive Checklists | Dec 2, 2021 | Fairness | CodeCode Available | 0 |
| Models of fairness in federated learning | Dec 1, 2021 | FairnessFederated Learning | —Unverified | 0 |
| Training BatchNorm Only in Neural Architecture Search and Beyond | Dec 1, 2021 | FairnessNeural Architecture Search | —Unverified | 0 |