| Alleviating the Sample Selection Bias in Few-shot Learning by Removing Projection to the Centroid | Oct 30, 2022 | Few-Shot LearningSelection bias | CodeCode Available | 1 | 5 |
| An adaptive denoising recommendation algorithm for causal separation bias | Nov 15, 2023 | Causal InferenceDenoising | CodeCode Available | 0 | 5 |
| Automated Dependence Plots | Dec 2, 2019 | Bias DetectionModel Selection | CodeCode Available | 0 | 5 |
| Deep Counterfactual Networks with Propensity-Dropout | Jun 19, 2017 | Causal Inferencecounterfactual | CodeCode Available | 0 | 5 |
| Addressing Selection Bias in Computerized Adaptive Testing: A User-Wise Aggregate Influence Function Approach | Aug 23, 2023 | Diagnosticparameter estimation | CodeCode Available | 0 | 5 |
| Pre-training of Graph Augmented Transformers for Medication Recommendation | Jun 2, 2019 | Language ModelingLanguage Modelling | CodeCode Available | 0 | 5 |
| Demographics Should Not Be the Reason of Toxicity: Mitigating Discrimination in Text Classifications with Instance Weighting | Apr 29, 2020 | Abusive LanguageGeneral Classification | CodeCode Available | 0 | 5 |
| Addressing Correlated Latent Exogenous Variables in Debiased Recommender Systems | Jun 9, 2025 | FairnessImputation | CodeCode Available | 0 | 5 |
| Decolonising Data Systems: Using Jyutping or Pinyin as tonal representations of Chinese names for data linkage | Sep 6, 2024 | Selection bias | CodeCode Available | 0 | 5 |
| DCAST: Diverse Class-Aware Self-Training Mitigates Selection Bias for Fairer Learning | Sep 30, 2024 | DiversityDomain Adaptation | CodeCode Available | 0 | 5 |
| Batch-Mix Negative Sampling for Learning Recommendation Retrievers | Oct 21, 2023 | Collaborative FilteringSelection bias | CodeCode Available | 0 | 5 |
| Debiased Bayesian inference for average treatment effects | Sep 26, 2019 | Bayesian InferenceCausal Inference | CodeCode Available | 0 | 5 |
| Decorrelated Clustering with Data Selection Bias | Jun 29, 2020 | ClusteringSelection bias | CodeCode Available | 0 | 5 |
| Differentiable Pareto-Smoothed Weighting for High-Dimensional Heterogeneous Treatment Effect Estimation | Apr 26, 2024 | Heterogeneous Treatment Effect EstimationRepresentation Learning | CodeCode Available | 0 | 5 |
| Correcting Sociodemographic Selection Biases for Population Prediction from Social Media | Nov 10, 2019 | PredictionSelection bias | CodeCode Available | 0 | 5 |
| Augmented prediction of a true class for Positive Unlabeled data under selection bias | Jul 14, 2024 | PredictionSelection bias | CodeCode Available | 0 | 5 |
| Adaptive Unsupervised Self-training for Disfluency Detection | Oct 1, 2022 | Selection bias | CodeCode Available | 0 | 5 |
| Confidence on the Focal: Conformal Prediction with Selection-Conditional Coverage | Mar 6, 2024 | Conformal PredictionDrug Discovery | CodeCode Available | 0 | 5 |
| Correcting the Triplet Selection Bias for Triplet Loss | Sep 1, 2018 | Face RecognitionFine-Grained Image Classification | CodeCode Available | 0 | 5 |
| Learning Group Importance using the Differentiable Hypergeometric Distribution | Mar 3, 2022 | ClusteringSelection bias | CodeCode Available | 0 | 5 |
| Correcting for Selection Bias and Missing Response in Regression using Privileged Information | Mar 29, 2023 | Imputationregression | CodeCode Available | 0 | 5 |
| Causal Machine Learning for Cost-Effective Allocation of Development Aid | Jan 30, 2024 | counterfactualRepresentation Learning | CodeCode Available | 0 | 5 |
| Bayesian Inference of Individualized Treatment Effects using Multi-task Gaussian Processes | Apr 10, 2017 | Bayesian Inferencecounterfactual | 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 |
| A First Look at Selection Bias in Preference Elicitation for Recommendation | May 1, 2024 | Recommendation SystemsSelection bias | CodeCode Available | 0 | 5 |
