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Decision Making

Papers

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Showing 10951–11000 of 12311 papers

TitleStatusHype
Towards Human-AI Deliberation: Design and Evaluation of LLM-Empowered Deliberative AI for AI-Assisted Decision-Making—0
Towards Identity Preserving Normal to Dysarthric Voice Conversion—0
Towards Improving Calibration in Object Detection Under Domain Shift—0
Towards influence centrality: where to not add an edge in the network?—0
Towards Interpretability in Audio and Visual Affective Machine Learning: A Review—0
Towards Interpretable and Transferable Speech Emotion Recognition: Latent Representation Based Analysis of Features, Methods and Corpora—0
Towards Interpretable Classification of Leukocytes based on Deep Learning—0
Towards Interpretable Counterfactual Generation via Multimodal Autoregression—0
Towards Interpretable Deep Reinforcement Learning Models via Inverse Reinforcement Learning—0
Towards Large Reasoning Models for Agriculture—0
Towards LLM-based Autograding for Short Textual Answers—0
Towards Model-informed Precision Dosing with Expert-in-the-loop Machine Learning—0
Towards More Efficient, Robust, Instance-adaptive, and Generalizable Sequential Decision making—0
Towards Next-Generation Medical Agent: How o1 is Reshaping Decision-Making in Medical Scenarios—0
Towards Next-Generation Urban Decision Support Systems through AI-Powered Construction of Scientific Ontology using Large Language Models -- A Case in Optimizing Intermodal Freight Transportation—0
Towards Non-Parametric Models for Confidence Aware Video Prediction on Smooth Dynamics—0
Investigating Low Data, Confidence Aware Image Prediction on Smooth Repetitive Videos using Gaussian Processes—0
Towards Off-Policy Reinforcement Learning for Ranking Policies with Human Feedback—0
Towards Open-World Mobile Manipulation in Homes: Lessons from the Neurips 2023 HomeRobot Open Vocabulary Mobile Manipulation Challenge—0
Towards Opinion Summarization of Customer Reviews—0
Towards Optimizing Human-Centric Objectives in AI-Assisted Decision-Making With Offline Reinforcement Learning—0
Towards Personality-Aware Recommendation—0
Towards Personalized Conversational Sales Agents : Contextual User Profiling for Strategic Action—0
Towards Personalized Management of Type B Aortic Dissection Using STENT: a STandard cta database with annotation of the ENtire aorta and True-false lumen—0
Towards Predictable Feature Attribution: Revisiting and Improving Guided BackPropagation—0
Towards Quantum Language Models—0
Towards Reconciling Usability and Usefulness of Explainable AI Methodologies—0
Towards Reliable Medical Question Answering: Techniques and Challenges in Mitigating Hallucinations in Language Models—0
Towards Reliable Neural Optimizers: A Permutation Equivariant Neural Approximation for Information Processing Applications—0
Towards Reliable WMH Segmentation under Domain Shift: An Application Study using Maximum Entropy Regularization to Improve Uncertainty Estimation—0
Towards Repairing Neural Networks Correctly—0
Towards Resource-Efficient Compound AI Systems—0
Towards Responsible AI: A Design Space Exploration of Human-Centered Artificial Intelligence User Interfaces to Investigate Fairness—0
Towards Responsible AI: Advances in Safety, Fairness, and Accountability of Autonomous Systems—0
Towards Responsible AI in Banking: Addressing Bias for Fair Decision-Making—0
Towards Responsible and Trustworthy Educational Data Mining: Comparing Symbolic, Sub-Symbolic, and Neural-Symbolic AI Methods—0
Towards Revealing the Mystery behind Chain of Thought: A Theoretical Perspective—0
Towards risk-informed PBSHM: Populations as hierarchical systems—0
Towards Robust and Reliable Algorithmic Recourse—0
Towards Robust and Secure Embodied AI: A Survey on Vulnerabilities and Attacks—0
Towards Robust Knowledge Representations in Multilingual LLMs for Equivalence and Inheritance based Consistent Reasoning—0
Towards Robust Model Evolution with Algorithmic Recourse—0
Towards robust sensing for Autonomous Vehicles: An adversarial perspective—0
Towards Robust Uncertainty-Aware Incomplete Multi-View Classification—0
Towards Running Time Analysis of Interactive Multi-objective Evolutionary Algorithms—0
Towards Safe Load Balancing based on Control Barrier Functions and Deep Reinforcement Learning—0
Towards Safe Machine Learning for CPS: Infer Uncertainty from Training Data—0
Towards Scalable & Efficient Interaction-Aware Planning in Autonomous Vehicles using Knowledge Distillation—0
Towards Seamless Hierarchical Federated Learning under Intermittent Client Participation: A Stagewise Decision-Making Methodology—0
Towards secure judgments aggregation in AHP—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4—Unverified