| Fairness Constraints: Mechanisms for Fair Classification | Jul 19, 2015 | ClassificationDecision Making | CodeCode Available | 1 | 5 |
| Fairness in Credit Scoring: Assessment, Implementation and Profit Implications | Mar 2, 2021 | Decision MakingFairness | CodeCode Available | 1 | 5 |
| FairGBM: Gradient Boosting with Fairness Constraints | Sep 16, 2022 | Decision MakingFairness | CodeCode Available | 1 | 5 |
| Fair and Optimal Classification via Post-Processing | Nov 3, 2022 | AttributeClassification | CodeCode Available | 1 | 5 |
| Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment | Oct 26, 2016 | Decision MakingFairness | CodeCode Available | 1 | 5 |
| Fairness in Ranking under Uncertainty | Jul 14, 2021 | Decision MakingFairness | CodeCode Available | 1 | 5 |
| Fault-Tolerant Federated Reinforcement Learning with Theoretical Guarantee | Oct 26, 2021 | Decision MakingFederated Learning | CodeCode Available | 1 | 5 |
| Extended Tree Search for Robot Task and Motion Planning | Mar 9, 2021 | Decision MakingMotion Planning | CodeCode Available | 1 | 5 |
| Explicit Memory Tracker with Coarse-to-Fine Reasoning for Conversational Machine Reading | Jul 1, 2020 | Decision MakingReading Comprehension | CodeCode Available | 1 | 5 |
| 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 |
| Extending CAM-based XAI methods for Remote Sensing Imagery Segmentation | Oct 3, 2023 | Decision MakingExplainable artificial intelligence | CodeCode Available | 1 | 5 |
| A2-FPN for Semantic Segmentation of Fine-Resolution Remotely Sensed Images | Feb 16, 2021 | Decision MakingScene Understanding | CodeCode Available | 1 | 5 |
| A Probabilistic U-Net for Segmentation of Ambiguous Images | Jun 13, 2018 | Decision MakingSegmentation | CodeCode Available | 1 | 5 |
| A RAG-Based Multi-Agent LLM System for Natural Hazard Resilience and Adaptation | Apr 24, 2025 | Decision MakingRAG | CodeCode Available | 1 | 5 |
| 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 |
| Explaining Autonomous Driving Actions with Visual Question Answering | Jul 19, 2023 | Autonomous DrivingAutonomous Vehicles | CodeCode Available | 1 | 5 |
| Argumentative Large Language Models for Explainable and Contestable Claim Verification | May 3, 2024 | Claim VerificationDecision Making | CodeCode Available | 1 | 5 |
| A survey on datasets for fairness-aware machine learning | Oct 1, 2021 | AttributeBIG-bench Machine Learning | CodeCode Available | 1 | 5 |
