| Calibration tests beyond classification | Oct 21, 2022 | ClassificationDecision Making | CodeCode Available | 0 | 5 |
| Active Learning for Decision-Making from Imbalanced Observational Data | Apr 10, 2019 | Active LearningDecision Making | CodeCode Available | 0 | 5 |
| Designing Closed Human-in-the-loop Deferral Pipelines | Feb 9, 2022 | Decision MakingFairness | CodeCode Available | 0 | 5 |
| Designing Optimal Behavioral Experiments Using Machine Learning | May 12, 2023 | Decision MakingExperimental Design | CodeCode Available | 0 | 5 |
| Demonstrating the Continual Learning Capabilities and Practical Application of Discrete-Time Active Inference | Sep 30, 2024 | Bayesian InferenceContinual Learning | CodeCode Available | 0 | 5 |
| Dense Retrieval as Indirect Supervision for Large-space Decision Making | Oct 28, 2023 | Decision MakingEntity Typing | CodeCode Available | 0 | 5 |
| Detecting Adversarial Attacks on Neural Network Policies with Visual Foresight | Oct 2, 2017 | Autonomous VehiclesDecision Making | CodeCode Available | 0 | 5 |
| Detecting and Mitigating System-Level Anomalies of Vision-Based Controllers | Sep 23, 2023 | Decision MakingSelf-Driving Cars | CodeCode Available | 0 | 5 |
| A General Approach for Computing a Consensus in Group Decision Making That Integrates Multiple Ethical Principles | Jan 15, 2024 | Decision MakingFairness | CodeCode Available | 0 | 5 |
| Calibration by Distribution Matching: Trainable Kernel Calibration Metrics | Oct 31, 2023 | Decision Makingregression | CodeCode Available | 0 | 5 |
