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Decision Making

Papers

Showing 551575 of 12311 papers

TitleStatusHype
A Probabilistic Graphical Model Foundation for Enabling Predictive Digital Twins at ScaleCode1
Examining Inter-Consistency of Large Language Models Collaboration: An In-depth Analysis via DebateCode1
DORA: Exploring Outlier Representations in Deep Neural NetworksCode1
Distributive Justice as the Foundational Premise of Fair ML: Unification, Extension, and Interpretation of Group Fairness MetricsCode1
Diverse and Admissible Trajectory Forecasting through Multimodal Context UnderstandingCode1
Dissecting and Mitigating Diffusion Bias via Mechanistic InterpretabilityCode1
Adaptive Two-Stage Cloud Resource Scaling via Hierarchical Multi-Indicator Forecasting and Bayesian Decision-MakingCode1
Distributional GFlowNets with Quantile FlowsCode1
Diverse and Admissible Trajectory Prediction through Multimodal Context UnderstandingCode1
Distributional Counterfactual Explanations With Optimal TransportCode1
Discern: Discourse-Aware Entailment Reasoning Network for Conversational Machine ReadingCode1
Discriminative Particle Filter Reinforcement Learning for Complex Partial ObservationsCode1
Approximate Inference in Discrete Distributions with Monte Carlo Tree Search and Value FunctionsCode1
Re4MPC: Reactive Nonlinear MPC for Multi-model Motion Planning via Deep Reinforcement LearningCode1
Are Human-generated Demonstrations Necessary for In-context Learning?Code1
Divide and Conquer: Answering Questions with Object Factorization and Compositional ReasoningCode1
Do the Rewards Justify the Means? Measuring Trade-Offs Between Rewards and Ethical Behavior in the MACHIAVELLI BenchmarkCode1
EDITS: Modeling and Mitigating Data Bias for Graph Neural NetworksCode1
Diffusion-Based Electrocardiography Noise Quantification via Anomaly DetectionCode1
An Objective Metric for Explainable AI: How and Why to Estimate the Degree of ExplainabilityCode1
An Introduction to Deep Reinforcement LearningCode1
A novel interpretable machine learning system to generate clinical risk scores: An application for predicting early mortality or unplanned readmission in a retrospective cohort studyCode1
DiffLoad: Uncertainty Quantification in Electrical Load Forecasting with the Diffusion ModelCode1
DiffLight: A Partial Rewards Conditioned Diffusion Model for Traffic Signal Control with Missing DataCode1
DiffPO: A causal diffusion model for learning distributions of potential outcomesCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4Unverified