SOTAVerified

Decision Making

Papers

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Showing 8551–8600 of 12311 papers

TitleStatusHype
Decadal Forecasts with ResDMD: a Residual DMD Neural Network—0
Trust It or Not: Confidence-Guided Automatic Radiology Report Generation—0
More Causes Less Effect: Destructive Interference in Decision Making—0
Two-Faced Humans on Twitter and Facebook: Harvesting Social Multimedia for Human Personality Profiling—0
VLN BERT: A Recurrent Vision-and-Language BERT for Navigation—0
Tree-Like Decision Distillation—0
High-level Features for Resource Economy and Fast Learning in Skill Transfer—0
Goal-Directed Planning by Reinforcement Learning and Active Inference—0
Importance measures derived from random forests: characterisation and extension—0
Evaluating the Robustness of Bayesian Neural Networks Against Different Types of Attacks—0
Probabilistic DAG Search—0
Predictive Modeling of Hospital Readmission: Challenges and Solutions—0
A Fair and Ethical Healthcare Artificial Intelligence System for Monitoring Driver Behavior and Preventing Road Accidents—0
Lorenz System State Stability Identification using Neural Networks—0
X-MAN: Explaining multiple sources of anomalies in video—0
Toward Affective XAI: Facial Affect Analysis for Understanding Explainable Human-AI Interactions—0
Robust Reinforcement Learning Under Minimax Regret for Green SecurityCode0
Interpretable Self-supervised Multi-task Learning for COVID-19 Information Retrieval and Extraction—0
Online Learning with Uncertain Feedback Graphs—0
On the Sample Complexity and Metastability of Heavy-tailed Policy Search in Continuous Control—0
Learning Incident Prediction Models Over Large Geographical Areas for Emergency Response SystemsCode0
Bandit Modeling of Map Selection in Counter-Strike: Global Offensive—0
Decision making under uncertainty for deploying battery storage as a non-wire alternative in distribution networks—0
Post-hoc loss-calibration for Bayesian neural networks—0
Security Analysis of Camera-LiDAR Fusion Against Black-Box Attacks on Autonomous Vehicles—0
Explaining the Deep Natural Language Processing by Mining Textual Interpretable Features—0
Quantifying the Conceptual Error in Dimensionality Reduction—0
DeepMMSA: A Novel Multimodal Deep Learning Method for Non-small Cell Lung Cancer Survival Analysis—0
A3C-S: Automated Agent Accelerator Co-Search towards Efficient Deep Reinforcement Learning—0
A modular framework for object-based saccadic decisions in dynamic scenes—0
Learning to Play General-Sum Games Against Multiple Boundedly Rational AgentsCode0
Thompson Sampling with a Mixture Prior—0
Cooperative Online Learning with Feedback GraphsCode0
A Lyapunov-Based Methodology for Constrained Optimization with Bandit Feedback—0
Geospatial Reasoning with Shapefiles for Supporting Policy Decisions—0
Fast and More Powerful Selective Inference for Sparse High-order Interaction Model—0
Information Avoidance and Overvaluation in Sequential Decision Making under Epistemic Constraints—0
Interpretable and Low-Resource Entity Matching via Decoupling Feature Learning from Decision MakingCode0
Curriculum Design for Teaching via Demonstrations: Theory and ApplicationsCode0
Don't Get Yourself into Trouble! Risk-aware Decision-Making for Autonomous Vehicles—0
Efficient Sampling in POMDPs with Lipschitz Bandits for Motion Planning in Continuous Spaces—0
Recommending Multiple Criteria Decision Analysis Methods with A New Taxonomy-based Decision Support System—0
There Is No Turning Back: A Self-Supervised Approach for Reversibility-Aware Reinforcement Learning—0
Targeted Active Learning for Bayesian Decision-Making—0
Time-series Imputation of Temporally-occluded Multiagent Trajectories—0
Stateful Strategic Regression—0
Stein ICP for Uncertainty Estimation in Point Cloud MatchingCode0
Meta-Learning Reliable Priors in the Function Space—0
Heuristic-Guided Reinforcement Learning—0
Empirically Evaluating Creative Arc Negotiation for Improvisational Decision-making—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4—Unverified