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| Explainability of Deep Learning models for Urban Space perception | Aug 29, 2022 | Decision MakingDeep Learning | CodeCode Available | 1 | 5 |
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| FairGBM: Gradient Boosting with Fairness Constraints | Sep 16, 2022 | Decision MakingFairness | CodeCode Available | 1 | 5 |
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| Fairness Through Robustness: Investigating Robustness Disparity in Deep Learning | Jun 17, 2020 | Decision MakingDeep Learning | CodeCode Available | 1 | 5 |
| Fairwashing Explanations with Off-Manifold Detergent | Jul 20, 2020 | Decision Making | CodeCode Available | 1 | 5 |
| Approximate Inference in Discrete Distributions with Monte Carlo Tree Search and Value Functions | Oct 15, 2019 | Decision MakingDecision Making Under Uncertainty | CodeCode Available | 1 | 5 |
| Fast Interpretable Greedy-Tree Sums | Jan 28, 2022 | Additive modelsDecision Making | CodeCode Available | 1 | 5 |
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| Explaining machine-learned particle-flow reconstruction | Nov 24, 2021 | Decision MakingGraph Neural Network | CodeCode Available | 1 | 5 |
| A novel interpretable machine learning system to generate clinical risk scores: An application for predicting early mortality or unplanned readmission in a retrospective cohort study | Jan 10, 2022 | BIG-bench Machine LearningDecision Making | CodeCode Available | 1 | 5 |
| Extracting Reward Functions from Diffusion Models | Jun 1, 2023 | Decision MakingImage Generation | CodeCode Available | 1 | 5 |
| An Introduction to Deep Reinforcement Learning | Nov 30, 2018 | BIG-bench Machine LearningDecision Making | CodeCode Available | 1 | 5 |
| Explainable Neural Computation via Stack Neural Module Networks | Jul 23, 2018 | Decision MakingQuestion Answering | CodeCode Available | 1 | 5 |
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| A survey on datasets for fairness-aware machine learning | Oct 1, 2021 | AttributeBIG-bench Machine Learning | CodeCode Available | 1 | 5 |