| Explaining machine-learned particle-flow reconstruction | Nov 24, 2021 | Decision MakingGraph Neural Network | CodeCode Available | 1 | 5 |
| Explaining Autonomous Driving Actions with Visual Question Answering | Jul 19, 2023 | Autonomous DrivingAutonomous Vehicles | CodeCode Available | 1 | 5 |
| Extended Tree Search for Robot Task and Motion Planning | Mar 9, 2021 | Decision MakingMotion Planning | 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 |
| 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 |
| Fair and Optimal Classification via Post-Processing | Nov 3, 2022 | AttributeClassification | CodeCode Available | 1 | 5 |
| Controlling Neural Networks with Rule Representations | Jun 14, 2021 | Decision Making | CodeCode Available | 1 | 5 |
| Fairness Constraints: Mechanisms for Fair Classification | Jul 19, 2015 | ClassificationDecision Making | CodeCode Available | 1 | 5 |
| A Probabilistic U-Net for Segmentation of Ambiguous Images | Jun 13, 2018 | Decision MakingSegmentation | CodeCode Available | 1 | 5 |
| An Introduction to Deep Reinforcement Learning | Nov 30, 2018 | BIG-bench Machine LearningDecision Making | CodeCode Available | 1 | 5 |
