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| Debiasing Deep Chest X-Ray Classifiers using Intra- and Post-processing Methods | Jul 26, 2022 | AttributeDecision Making | CodeCode Available | 0 | 5 |
| Decision-Focused Forecasting: A Differentiable Multistage Optimisation Architecture | May 23, 2024 | Decision MakingDecision Making Under Uncertainty | CodeCode Available | 0 | 5 |
| Decision-Focused Uncertainty Quantification | Oct 2, 2024 | Conformal PredictionDecision Making | CodeCode Available | 0 | 5 |
| Dealing with Expert Bias in Collective Decision-Making | Jun 25, 2021 | Decision Making | CodeCode Available | 0 | 5 |
| DDDM: a Brain-Inspired Framework for Robust Classification | May 1, 2022 | ClassificationDecision Making | CodeCode Available | 0 | 5 |
| Iterative Forward Tuning Boosts In-Context Learning in Language Models | May 22, 2023 | Decision MakingIn-Context Learning | CodeCode Available | 0 | 5 |
| DeBayes: a Bayesian Method for Debiasing Network Embeddings | Feb 26, 2020 | BIG-bench Machine LearningDecision Making | CodeCode Available | 0 | 5 |
| Correlation inference attacks against machine learning models | Dec 16, 2021 | AttributeBIG-bench Machine Learning | CodeCode Available | 0 | 5 |
| A Framework for Evaluating PM2.5 Forecasts from the Perspective of Individual Decision Making | Sep 9, 2024 | BenchmarkingDecision Making | CodeCode Available | 0 | 5 |
