SOTAVerified

Decision Making

Papers

Showing 301350 of 12311 papers

TitleStatusHype
Decision Mamba: Reinforcement Learning via Sequence Modeling with Selective State SpacesCode1
Decision Stacks: Flexible Reinforcement Learning via Modular Generative ModelsCode1
Decomposed Mutual Information Optimization for Generalized Context in Meta-Reinforcement LearningCode1
DDANet: Dual Decoder Attention Network for Automatic Polyp SegmentationCode1
Data-Driven Sample Average Approximation with Covariate InformationCode1
Decision-Focused Learning: Foundations, State of the Art, Benchmark and Future OpportunitiesCode1
Large-scale Building Damage Assessment using a Novel Hierarchical Transformer Architecture on Satellite ImagesCode1
CUTS+: High-dimensional Causal Discovery from Irregular Time-seriesCode1
Data-Driven Methods to Monitor, Model, Forecast and Control Covid-19 Pandemic: Leveraging Data Science, Epidemiology and Control TheoryCode1
Decision-Making with Auto-Encoding Variational BayesCode1
Deep Attentive Learning for Stock Movement Prediction From Social Media Text and Company CorrelationsCode1
CryptoPulse: Short-Term Cryptocurrency Forecasting with Dual-Prediction and Cross-Correlated Market IndicatorsCode1
Cryptocurrency Portfolio Management with Deep Reinforcement LearningCode1
COVIDNet-CT: A Tailored Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest CT ImagesCode1
Curating a COVID-19 data repository and forecasting county-level death counts in the United StatesCode1
A coevolutionary approach to deep multi-agent reinforcement learningCode1
COVID-CXNet: Detecting COVID-19 in Frontal Chest X-ray Images using Deep LearningCode1
Counterfactual Explainable RecommendationCode1
Labeling Neural Representations with Inverse RecognitionCode1
Counterfactual Explanations in Sequential Decision Making Under UncertaintyCode1
COVID-Net CT-2: Enhanced Deep Neural Networks for Detection of COVID-19 from Chest CT Images Through Bigger, More Diverse LearningCode1
Curriculum-based Reinforcement Learning for Distribution System Critical Load RestorationCode1
Deep Bayesian InversionCode1
Diagnosing Infeasible Optimization Problems Using Large Language ModelsCode1
EHRXQA: A Multi-Modal Question Answering Dataset for Electronic Health Records with Chest X-ray ImagesCode1
A Closer Look at Advantage-Filtered Behavioral Cloning in High-Noise DatasetsCode1
Continuation Path Learning for Homotopy OptimizationCode1
ContainerGym: A Real-World Reinforcement Learning Benchmark for Resource AllocationCode1
Constraint-Adaptive Policy Switching for Offline Safe Reinforcement LearningCode1
Contrastive Variational Reinforcement Learning for Complex ObservationsCode1
Conformal Predictive Systems Under Covariate ShiftCode1
Conformal Convolution and Monte Carlo Meta-learners for Predictive Inference of Individual Treatment EffectsCode1
Conformal Time-series ForecastingCode1
Conformal Alignment: Knowing When to Trust Foundation Models with GuaranteesCode1
Long-term drought prediction using deep neural networks based on geospatial weather dataCode1
Conformal Inference of Counterfactuals and Individual Treatment EffectsCode1
Controlling Neural Networks with Rule RepresentationsCode1
ComTraQ-MPC: Meta-Trained DQN-MPC Integration for Trajectory Tracking with Limited Active Localization UpdatesCode1
Concept-level Debugging of Part-Prototype NetworksCode1
Comprehensive Training and Evaluation on Deep Reinforcement Learning for Automated Driving in Various Simulated Driving ManeuversCode1
Achieving Robustness to Aleatoric Uncertainty with Heteroscedastic Bayesian OptimisationCode1
Computationally Assisted Quality Control for Public Health Data StreamsCode1
Conditional-Flow NeRF: Accurate 3D Modelling with Reliable Uncertainty QuantificationCode1
Consciousness-Inspired Spatio-Temporal Abstractions for Better Generalization in Reinforcement LearningCode1
ComBiNet: Compact Convolutional Bayesian Neural Network for Image SegmentationCode1
Modelling uncertainty in coupled electricity and gas systems -- is it worth the effort?Code1
Addressing cognitive bias in medical language modelsCode1
Comparing Exploration-Exploitation Strategies of LLMs and Humans: Insights from Standard Multi-armed Bandit TasksCode1
Conditioning Sparse Variational Gaussian Processes for Online Decision-makingCode1
ContrXT: Generating Contrastive Explanations from any Text ClassifierCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4Unverified