| Human-in-the-loop Fairness: Integrating Stakeholder Feedback to Incorporate Fairness Perspectives in Responsible AI | Dec 13, 2023 | Decision MakingFairness | CodeCode Available | 0 | 5 |
| Extracting Diagnosis Pathways from Electronic Health Records Using Deep Reinforcement Learning | May 10, 2023 | Decision MakingDeep Reinforcement Learning | CodeCode Available | 0 | 5 |
| PEAK: Explainable Privacy Assistant through Automated Knowledge Extraction | Jan 5, 2023 | Decision Making | CodeCode Available | 0 | 5 |
| "Explain it in the Same Way!" -- Model-Agnostic Group Fairness of Counterfactual Explanations | Nov 27, 2022 | counterfactualDecision Making | CodeCode Available | 0 | 5 |
| Explaining RL Decisions with Trajectories | May 6, 2023 | Attributecontinuous-control | CodeCode Available | 0 | 5 |
| Explaining Reinforcement Learning Policies through Counterfactual Trajectories | Jan 29, 2022 | counterfactualDecision Making | CodeCode Available | 0 | 5 |
| FreqRISE: Explaining time series using frequency masking | Jun 19, 2024 | Decision MakingExplainable artificial intelligence | CodeCode Available | 0 | 5 |
| Explanatory Paradigms in Neural Networks | Feb 24, 2022 | Decision Making | CodeCode Available | 0 | 5 |
| Explaining Interactions Between Text Spans | Oct 20, 2023 | Community DetectionDecision Making | CodeCode Available | 0 | 5 |
| Amortized Bayesian Experimental Design for Decision-Making | Nov 4, 2024 | Decision MakingExperimental Design | CodeCode Available | 0 | 5 |
| Amortized Bayesian Decision Making for simulation-based models | Dec 5, 2023 | Decision Making | CodeCode Available | 0 | 5 |
| Explaining Graph Neural Networks with Large Language Models: A Counterfactual Perspective for Molecular Property Prediction | Oct 19, 2024 | counterfactualCounterfactual Explanation | CodeCode Available | 0 | 5 |
| Explaining Reinforcement Learning Agents Through Counterfactual Action Outcomes | Dec 18, 2023 | counterfactualDecision Making | CodeCode Available | 0 | 5 |
| Explaining AI in Finance: Past, Present, Prospects | Jun 5, 2023 | Decision MakingExplainable Artificial Intelligence (XAI) | CodeCode Available | 0 | 5 |
| A Deep Reinforcement Learning Framework For Column Generation | Jun 3, 2022 | Decision MakingDeep Reinforcement Learning | CodeCode Available | 0 | 5 |
| Explainable Reinforcement Learning via Model Transforms | Sep 24, 2022 | Decision Makingmodel | CodeCode Available | 0 | 5 |
| Explaining by Imitating: Understanding Decisions by Interpretable Policy Learning | Oct 28, 2023 | Decision Making | CodeCode Available | 0 | 5 |
| Explainable Knowledge Graph Embedding: Inference Reconciliation for Knowledge Inferences Supporting Robot Actions | May 4, 2022 | Decision MakingGraph Embedding | CodeCode Available | 0 | 5 |
| A Comprehensive and Reliable Feature Attribution Method: Double-sided Remove and Reconstruct (DoRaR) | Oct 27, 2023 | Decision Making | CodeCode Available | 0 | 5 |
| Explainable Multi-View Deep Networks Methodology for Experimental Physics | Aug 16, 2023 | Decision MakingMULTI-VIEW LEARNING | CodeCode Available | 0 | 5 |
| Explaining Deep Classification of Time-Series Data with Learned Prototypes | Apr 18, 2019 | ClassificationDecision Making | CodeCode Available | 0 | 5 |
| A Deep Recurrent Q Network towards Self-adapting Distributed Microservices architecture | Jan 13, 2019 | Decision MakingQ-Learning | CodeCode Available | 0 | 5 |
| Explainable COVID-19 Infections Identification and Delineation Using Calibrated Pseudo Labels | Feb 11, 2022 | Computed Tomography (CT)Decision Making | CodeCode Available | 0 | 5 |
| Explainable Authorship Verification in Social Media via Attention-based Similarity Learning | Oct 17, 2019 | Authorship VerificationDecision Making | CodeCode Available | 0 | 5 |
| Explainable Debugger for Black-box Machine Learning Models | Jul 18, 2021 | Anomaly DetectionBIG-bench Machine Learning | CodeCode Available | 0 | 5 |
