SOTAVerified

Decision Making

Papers

Showing 576600 of 12311 papers

TitleStatusHype
End-to-End Conformal Calibration for Optimization Under UncertaintyCode1
Distributional GFlowNets with Quantile FlowsCode1
Dissecting and Mitigating Diffusion Bias via Mechanistic InterpretabilityCode1
A Probabilistic U-Net for Segmentation of Ambiguous ImagesCode1
Do Embodied Agents Dream of Pixelated Sheep: Embodied Decision Making using Language Guided World ModellingCode1
A Probabilistic Graphical Model Foundation for Enabling Predictive Digital Twins at ScaleCode1
Discriminative Particle Filter Reinforcement Learning for Complex Partial ObservationsCode1
Adaptive Two-Stage Cloud Resource Scaling via Hierarchical Multi-Indicator Forecasting and Bayesian Decision-MakingCode1
Distributional Counterfactual Explanations With Optimal TransportCode1
Distributive Justice as the Foundational Premise of Fair ML: Unification, Extension, and Interpretation of Group Fairness MetricsCode1
DRIVE: Deep Reinforced Accident Anticipation with Visual ExplanationCode1
DIME: Fine-grained Interpretations of Multimodal Models via Disentangled Local ExplanationsCode1
Are Human-generated Demonstrations Necessary for In-context Learning?Code1
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
DisastIR: A Comprehensive Information Retrieval Benchmark for Disaster ManagementCode1
Argumentative Large Language Models for Explainable and Contestable Claim VerificationCode1
Dynaformer: A Deep Learning Model for Ageing-aware Battery Discharge PredictionCode1
Digital Transformation in the Water Distribution System based on the Digital Twins ConceptCode1
ARM-Net: Adaptive Relation Modeling Network for Structured DataCode1
An Objective Metric for Explainable AI: How and Why to Estimate the Degree of ExplainabilityCode1
Scalable Multi-agent Reinforcement Learning Algorithm for Wireless NetworksCode1
Dynamic Sparse Training for Deep Reinforcement LearningCode1
Early Lane Change Prediction for Automated Driving Systems Using Multi-Task Attention-based Convolutional Neural NetworksCode1
Discern: Discourse-Aware Entailment Reasoning Network for Conversational Machine ReadingCode1
Diverse and Admissible Trajectory Forecasting through Multimodal Context UnderstandingCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4Unverified