SOTAVerified

Decision Making

Papers

Showing 301325 of 12311 papers

TitleStatusHype
Decomposed Mutual Information Optimization for Generalized Context in Meta-Reinforcement LearningCode1
Deep Bayesian InversionCode1
Decision Trees for Decision-Making under the Predict-then-Optimize FrameworkCode1
Decision Stacks: Flexible Reinforcement Learning via Modular Generative ModelsCode1
Decoding the Enigma: Benchmarking Humans and AIs on the Many Facets of Working MemoryCode1
Deep Neural Networks Tend To Extrapolate PredictablyCode1
Decision-Focused Learning: Foundations, State of the Art, Benchmark and Future OpportunitiesCode1
DDANet: Dual Decoder Attention Network for Automatic Polyp SegmentationCode1
Decision-Making with Auto-Encoding Variational BayesCode1
Data-Driven Methods to Monitor, Model, Forecast and Control Covid-19 Pandemic: Leveraging Data Science, Epidemiology and Control TheoryCode1
Data-Driven Sample Average Approximation with Covariate InformationCode1
Decision Mamba: Reinforcement Learning via Sequence Modeling with Selective State SpacesCode1
A coevolutionary approach to deep multi-agent reinforcement learningCode1
Algorithmic Stability and Generalization of an Unsupervised Feature Selection AlgorithmCode1
CUTS+: High-dimensional Causal Discovery from Irregular Time-seriesCode1
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
Labeling Neural Representations with Inverse RecognitionCode1
A Probabilistic Graphical Model Foundation for Enabling Predictive Digital Twins at ScaleCode1
Large-scale Building Damage Assessment using a Novel Hierarchical Transformer Architecture on Satellite ImagesCode1
Deep Policies for Online Bipartite Matching: A Reinforcement Learning ApproachCode1
DG-Trans: Dual-level Graph Transformer for Spatiotemporal Incident Impact Prediction on Traffic NetworksCode1
Do the Rewards Justify the Means? Measuring Trade-Offs Between Rewards and Ethical Behavior in the MACHIAVELLI BenchmarkCode1
A Closer Look at Advantage-Filtered Behavioral Cloning in High-Noise DatasetsCode1
COVIDNet-CT: A Tailored Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest CT ImagesCode1
COVID-CXNet: Detecting COVID-19 in Frontal Chest X-ray Images using Deep LearningCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4Unverified