| Pre-training of Graph Augmented Transformers for Medication Recommendation | Jun 2, 2019 | Language ModelingLanguage Modelling | CodeCode Available | 0 | 5 |
| Correcting for Selection Bias and Missing Response in Regression using Privileged Information | Mar 29, 2023 | Imputationregression | CodeCode Available | 0 | 5 |
| Correcting the Triplet Selection Bias for Triplet Loss | Sep 1, 2018 | Face RecognitionFine-Grained Image Classification | CodeCode Available | 0 | 5 |
| Addressing Correlated Latent Exogenous Variables in Debiased Recommender Systems | Jun 9, 2025 | FairnessImputation | CodeCode Available | 0 | 5 |
| Comparative Evaluation of Label-Agnostic Selection Bias in Multilingual Hate Speech Datasets | Nov 1, 2020 | Hate Speech DetectionSelection bias | CodeCode Available | 0 | 5 |
| Algorithm as Experiment: Machine Learning, Market Design, and Policy Eligibility Rules | Apr 26, 2021 | BIG-bench Machine LearningDecision Making | CodeCode Available | 0 | 5 |
| Overcome Modal Bias in Multi-modal Federated Learning via Balanced Modality Selection | Dec 31, 2023 | DiversityFederated Learning | CodeCode Available | 0 | 5 |
| Confidence on the Focal: Conformal Prediction with Selection-Conditional Coverage | Mar 6, 2024 | Conformal PredictionDrug Discovery | CodeCode Available | 0 | 5 |
| Counterfactual Prediction Under Outcome Measurement Error | Feb 22, 2023 | counterfactualDecision Making | CodeCode Available | 0 | 5 |
| Adaptive Unsupervised Self-training for Disfluency Detection | Oct 1, 2022 | Selection bias | CodeCode Available | 0 | 5 |
