| Corpus-level and Concept-based Explanations for Interpretable Document Classification | Apr 24, 2020 | ClassificationDecision Making | CodeCode Available | 0 |
| POMDP inference and robust solution via deep reinforcement learning: An application to railway optimal maintenance | Jul 16, 2023 | Decision MakingDeep Reinforcement Learning | CodeCode Available | 0 |
| Making Logic Learnable With Neural Networks | Feb 10, 2020 | Decision Making | CodeCode Available | 0 |
| Controllable Edge-Type-Specific Interpretation in Multi-Relational Graph Neural Networks for Drug Response Prediction | Aug 30, 2024 | Decision MakingDrug Response Prediction | CodeCode Available | 0 |
| Goal-based Course Recommendation | Dec 25, 2018 | Decision Making | CodeCode Available | 0 |
| Making Reliable and Flexible Decisions in Long-tailed Classification | Jan 23, 2025 | Decision Makingimage-classification | CodeCode Available | 0 |
| A Practical Guide to Multi-Objective Reinforcement Learning and Planning | Mar 17, 2021 | Decision MakingMulti-Objective Reinforcement Learning | CodeCode Available | 0 |
| Efficient Learning of Optimal Individualized Treatment Rules for Heteroscedastic or Misspecified Treatment-Free Effect Models | Sep 6, 2021 | Decision Making | CodeCode Available | 0 |
| Addressing multiple metrics of group fairness in data-driven decision making | Mar 10, 2020 | BIG-bench Machine LearningDecision Making | CodeCode Available | 0 |
| PopArt: Efficient Sparse Regression and Experimental Design for Optimal Sparse Linear Bandits | Oct 25, 2022 | Decision MakingExperimental Design | CodeCode Available | 0 |
| Approximate Control for Continuous-Time POMDPs | Feb 2, 2024 | Decision Making | CodeCode Available | 0 |
| Efficient Monte Carlo Tree Search via On-the-Fly State-Conditioned Action Abstraction | Jun 2, 2024 | Decision Making | CodeCode Available | 0 |
| Contrastive Sparse Autoencoders for Interpreting Planning of Chess-Playing Agents | Jun 6, 2024 | Decision Making | CodeCode Available | 0 |
| Causal Interaction Trees: Tree-Based Subgroup Identification for Observational Data | Mar 6, 2020 | Decision Makingregression | CodeCode Available | 0 |
| Detecting critical treatment effect bias in small subgroups | Apr 29, 2024 | BenchmarkingDecision Making | CodeCode Available | 0 |
| GoalNet: Inferring Conjunctive Goal Predicates from Human Plan Demonstrations for Robot Instruction Following | May 14, 2022 | Decision MakingInstruction Following | CodeCode Available | 0 |
| IWISDM: Assessing instruction following in multimodal models at scale | Jun 20, 2024 | Decision MakingInstruction Following | CodeCode Available | 0 |
| Causal Fair Machine Learning via Rank-Preserving Interventional Distributions | Jul 24, 2023 | AttributeDecision Making | CodeCode Available | 0 |
| Detecting Conversational Mental Manipulation with Intent-Aware Prompting | Dec 11, 2024 | Decision Making | CodeCode Available | 0 |
| MALOnt: An Ontology for Malware Threat Intelligence | Jun 20, 2020 | Decision MakingGraph Generation | CodeCode Available | 0 |
| A Dual-Perspective Metaphor Detection Framework Using Large Language Models | Dec 23, 2024 | Decision MakingKnowledge Graphs | CodeCode Available | 0 |
| GOAt: Explaining Graph Neural Networks via Graph Output Attribution | Jan 26, 2024 | AttributeDecision Making | CodeCode Available | 0 |
| AALF: Almost Always Linear Forecasting | Sep 16, 2024 | Decision MakingDeep Learning | CodeCode Available | 0 |
| Detecting and Mitigating System-Level Anomalies of Vision-Based Controllers | Sep 23, 2023 | Decision MakingSelf-Driving Cars | CodeCode Available | 0 |
| Causal Discovery with Attention-Based Convolutional Neural Networks | Jan 7, 2019 | Causal DiscoveryDecision Making | CodeCode Available | 0 |