| Addressing Shortcomings in Fair Graph Learning Datasets: Towards a New Benchmark | Mar 9, 2024 | BenchmarkingFairness | CodeCode Available | 1 |
| Towards Tracing Trustworthiness Dynamics: Revisiting Pre-training Period of Large Language Models | Feb 29, 2024 | FairnessMutual Information Estimation | CodeCode Available | 1 |
| Towards Fair Graph Anomaly Detection: Problem, Benchmark Datasets, and Evaluation | Feb 25, 2024 | Anomaly DetectionFairness | CodeCode Available | 1 |
| Fair Resource Allocation in Multi-Task Learning | Feb 23, 2024 | FairnessMulti-Task Learning | CodeCode Available | 1 |
| Demographic Bias of Expert-Level Vision-Language Foundation Models in Medical Imaging | Feb 22, 2024 | Fairness | CodeCode Available | 1 |
| TuneTables: Context Optimization for Scalable Prior-Data Fitted Networks | Feb 17, 2024 | FairnessIn-Context Learning | CodeCode Available | 1 |
| FedAA: A Reinforcement Learning Perspective on Adaptive Aggregation for Fair and Robust Federated Learning | Feb 8, 2024 | continuous-controlContinuous Control | CodeCode Available | 1 |
| UOEP: User-Oriented Exploration Policy for Enhancing Long-Term User Experiences in Recommender Systems | Jan 17, 2024 | DiversityFairness | CodeCode Available | 1 |
| A Closer Look at AUROC and AUPRC under Class Imbalance | Jan 11, 2024 | Binary ClassificationFairness | CodeCode Available | 1 |
| New Job, New Gender? Measuring the Social Bias in Image Generation Models | Jan 1, 2024 | Bias DetectionFairness | CodeCode Available | 1 |
| Quality-Diversity Generative Sampling for Learning with Synthetic Data | Dec 22, 2023 | DiversityFairness | CodeCode Available | 1 |
| Towards Fair Graph Federated Learning via Incentive Mechanisms | Dec 20, 2023 | FairnessFederated Learning | CodeCode Available | 1 |
| The Limits of Fair Medical Imaging AI In The Wild | Dec 11, 2023 | Fairness | CodeCode Available | 1 |
| Removing Biases from Molecular Representations via Information Maximization | Dec 1, 2023 | FairnessMolecular Property Prediction | CodeCode Available | 1 |
| Improving fairness for spoken language understanding in atypical speech with Text-to-Speech | Nov 16, 2023 | Data AugmentationFairness | CodeCode Available | 1 |
| Fair Abstractive Summarization of Diverse Perspectives | Nov 14, 2023 | Abstractive Text SummarizationFairness | CodeCode Available | 1 |
| Federated Learning for Generalization, Robustness, Fairness: A Survey and Benchmark | Nov 12, 2023 | FairnessFederated Learning | CodeCode Available | 1 |
| Flames: Benchmarking Value Alignment of LLMs in Chinese | Nov 12, 2023 | BenchmarkingFairness | CodeCode Available | 1 |
| Finetuning Text-to-Image Diffusion Models for Fairness | Nov 11, 2023 | Fairness | CodeCode Available | 1 |
| Bias Runs Deep: Implicit Reasoning Biases in Persona-Assigned LLMs | Nov 8, 2023 | FairnessMath | CodeCode Available | 1 |
| FairSeg: A Large-Scale Medical Image Segmentation Dataset for Fairness Learning Using Segment Anything Model with Fair Error-Bound Scaling | Nov 3, 2023 | FairnessImage Segmentation | CodeCode Available | 1 |
| DELPHI: Data for Evaluating LLMs' Performance in Handling Controversial Issues | Oct 27, 2023 | Fairness | CodeCode Available | 1 |
| Causality-Inspired Fair Representation Learning for Multimodal Recommendation | Oct 26, 2023 | AttributeCausal Inference | CodeCode Available | 1 |
| fairret: a Framework for Differentiable Fairness Regularization Terms | Oct 26, 2023 | Fairness | CodeCode Available | 1 |
| Data Optimization in Deep Learning: A Survey | Oct 25, 2023 | Data AugmentationDeep Learning | CodeCode Available | 1 |
