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Decision Making

Papers

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Showing 4051–4100 of 12311 papers

TitleStatusHype
Vestibular schwannoma growth prediction from longitudinal MRI by time conditioned neural fieldsCode0
Unsupervised Learning of Effective Actions in RoboticsCode0
On the Importance of Uncertainty in Decision-Making with Large Language Models—0
Composite Bayesian Optimization In Function Spaces Using NEON -- Neural Epistemic Operator Networks—0
AD4RL: Autonomous Driving Benchmarks for Offline Reinforcement Learning with Value-based Dataset—0
Towards detecting unanticipated bias in Large Language Models—0
CAPE: CAM as a Probabilistic Ensemble for Enhanced DNN InterpretationCode0
Towards Scalable & Efficient Interaction-Aware Planning in Autonomous Vehicles using Knowledge Distillation—0
Language Model Guided Interpretable Video Action ReasoningCode0
DELAN: Dual-Level Alignment for Vision-and-Language Navigation by Cross-Modal Contrastive LearningCode0
Attribution Regularization for Multimodal Paradigms—0
Voice EHR: Introducing Multimodal Audio Data for Health—0
JRDB-PanoTrack: An Open-world Panoptic Segmentation and Tracking Robotic Dataset in Crowded Human Environments—0
Multi-granular Adversarial Attacks against Black-box Neural Ranking Models—0
A Rationale-centric Counterfactual Data Augmentation Method for Cross-Document Event Coreference ResolutionCode0
Exploring Latent Pathways: Enhancing the Interpretability of Autonomous Driving with a Variational Autoencoder—0
LLM as a Mastermind: A Survey of Strategic Reasoning with Large Language Models—0
Explainable AI Integrated Feature Engineering for Wildfire Prediction—0
Vision-language models for decoding provider attention during neonatal resuscitation—0
Data-Driven Knowledge Transfer in Batch Q^* Learning—0
Predictive Performance Comparison of Decision Policies Under ConfoundingCode0
Will the Real Linda Please Stand up...to Large Language Models? Examining the Representativeness Heuristic in LLMsCode0
Metric Learning to Accelerate Convergence of Operator Splitting Methods for Differentiable Parametric Programming—0
Bibliometric analysis of artificial intelligence techniques for predicting soil liquefaction: insights and MCDM evaluation—0
Generative weather for improved crop model simulationsCode0
Learning Service Selection Decision Making Behaviors During Scientific Workflow Development—0
Detection of Temporality at Discourse Level on Financial News by Combining Natural Language Processing and Machine Learning—0
Conceptual and Unbiased Reasoning in Language Models—0
Detection of financial opportunities in micro-blogging data with a stacked classification system—0
Optimal Policy Learning with Observational Data in Multi-Action Scenarios: Estimation, Risk Preference, and Potential Failures—0
Conformal Prediction for Stochastic Decision-Making of PV Power in Electricity Markets—0
Can LLMs Correct Physicians, Yet? Investigating Effective Interaction Methods in the Medical DomainCode0
Biologically-Plausible Topology Improved Spiking Actor Network for Efficient Deep Reinforcement Learning—0
Segmentation Re-thinking Uncertainty Estimation Metrics for Semantic Segmentation—0
Leveraging Expert Input for Robust and Explainable AI-Assisted Lung Cancer Detection in Chest X-rays—0
Data-Adaptive Tradeoffs among Multiple Risks in Distribution-Free PredictionCode0
Swarm Characteristics Classification Using Neural NetworksCode0
Evaluating Fair Feature Selection in Machine Learning for Healthcare—0
Long and Short-Term Constraints Driven Safe Reinforcement Learning for Autonomous Driving—0
From Two-Dimensional to Three-Dimensional Environment with Q-Learning: Modeling Autonomous Navigation with Reinforcement Learning and no LibrariesCode0
Uncertainty-Aware SAR ATR: Defending Against Adversarial Attacks via Bayesian Neural Networks—0
Modeling uncertainty for Gaussian Splatting—0
Manipulating Neural Path Planners via Slight Perturbations—0
Modeling Sustainable City Trips: Integrating CO2e Emissions, Popularity, and Seasonality into Tourism Recommender Systems—0
Retentive Decision Transformer with Adaptive Masking for Reinforcement Learning based Recommendation Systems—0
Deep Support Vectors—0
Integrating Mamba Sequence Model and Hierarchical Upsampling Network for Accurate Semantic Segmentation of Multiple Sclerosis Legion—0
Empowering Data Mesh with Federated LearningCode0
Addressing Myopic Constrained POMDP Planning with Recursive Dual AscentCode0
Counterfactual Fairness through Transforming Data Orthogonal to Bias—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4—Unverified