SOTAVerified

Decision Making

Papers

Showing 301350 of 12311 papers

TitleStatusHype
A Semantic Segmentation Network for Urban-Scale Building Footprint Extraction Using RGB Satellite ImageryCode1
DG-Trans: Dual-level Graph Transformer for Spatiotemporal Incident Impact Prediction on Traffic NetworksCode1
DiffAIL: Diffusion Adversarial Imitation LearningCode1
DiffPO: A causal diffusion model for learning distributions of potential outcomesCode1
Detect and Locate: Exposing Face Manipulation by Semantic- and Noise-level TelltalesCode1
Are Human-generated Demonstrations Necessary for In-context Learning?Code1
Detecting Individual Decision-Making Style: Exploring Behavioral Stylometry in ChessCode1
DEFN: Dual-Encoder Fourier Group Harmonics Network for Three-Dimensional Indistinct-Boundary Object SegmentationCode1
Dense Uncertainty EstimationCode1
Developing Optimal Causal Cyber-Defence Agents via Cyber Security SimulationCode1
A coevolutionary approach to deep multi-agent reinforcement learningCode1
A Recurrent Vision-and-Language BERT for NavigationCode1
Deep Reinforcement Learning with Task-Adaptive Retrieval via HypernetworkCode1
Labeling Neural Representations with Inverse RecognitionCode1
auto-sktime: Automated Time Series ForecastingCode1
Defeasible Visual Entailment: Benchmark, Evaluator, and Reward-Driven OptimizationCode1
DeViL: Decoding Vision features into LanguageCode1
DiffSTG: Probabilistic Spatio-Temporal Graph Forecasting with Denoising Diffusion 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
CLIMAT: Clinically-Inspired Multi-Agent Transformers for Knee Osteoarthritis Trajectory ForecastingCode1
Deep Reinforcement Learning based Recommendation with Explicit User-Item Interactions ModelingCode1
Deep Neural Networks Tend To Extrapolate PredictablyCode1
Approximate Inference in Discrete Distributions with Monte Carlo Tree Search and Value FunctionsCode1
Deep Policies for Online Bipartite Matching: A Reinforcement Learning ApproachCode1
Comparing Deep Reinforcement Learning Algorithms in Two-Echelon Supply ChainsCode1
Deep Learning-based Frozen Section to FFPE TranslationCode1
Deep learning with self-supervision and uncertainty regularization to count fish in underwater imagesCode1
A Probabilistic Graphical Model Foundation for Enabling Predictive Digital Twins at ScaleCode1
Long-term drought prediction using deep neural networks based on geospatial weather dataCode1
Sequential Density Ratio Estimation for Simultaneous Optimization of Speed and AccuracyCode1
Deep Reinforcement Learning for Entity AlignmentCode1
Decomposed Mutual Information Optimization for Generalized Context in Meta-Reinforcement LearningCode1
Decoding the Enigma: Benchmarking Humans and AIs on the Many Facets of Working MemoryCode1
Deep Attentive Learning for Stock Movement Prediction From Social Media Text and Company CorrelationsCode1
Decision Stacks: Flexible Reinforcement Learning via Modular Generative ModelsCode1
Achieving Robustness to Aleatoric Uncertainty with Heteroscedastic Bayesian OptimisationCode1
Decision Trees for Decision-Making under the Predict-then-Optimize FrameworkCode1
Deep Bayesian InversionCode1
Decision-Making with Auto-Encoding Variational BayesCode1
Decision-Focused Learning: Foundations, State of the Art, Benchmark and Future OpportunitiesCode1
Decision Mamba: Reinforcement Learning via Sequence Modeling with Selective State SpacesCode1
Data-Driven Sample Average Approximation with Covariate InformationCode1
A Probabilistic U-Net for Segmentation of Ambiguous ImagesCode1
DDANet: Dual Decoder Attention Network for Automatic Polyp SegmentationCode1
RL-I2IT: Image-to-Image Translation with Deep Reinforcement LearningCode1
Curating a COVID-19 data repository and forecasting county-level death counts in the United StatesCode1
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
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4Unverified