SOTAVerified

Decision Making

Papers

Showing 251300 of 12311 papers

TitleStatusHype
Deep Bayesian InversionCode1
Deep Learning-based Frozen Section to FFPE TranslationCode1
DiffLoad: Uncertainty Quantification in Electrical Load Forecasting with the Diffusion ModelCode1
DiffPO: A causal diffusion model for learning distributions of potential outcomesCode1
Decision Stacks: Flexible Reinforcement Learning via Modular Generative ModelsCode1
Decision Trees for Decision-Making under the Predict-then-Optimize FrameworkCode1
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
Decoding the Enigma: Benchmarking Humans and AIs on the Many Facets of Working MemoryCode1
Deep learning with self-supervision and uncertainty regularization to count fish in underwater imagesCode1
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
Curating a COVID-19 data repository and forecasting county-level death counts in the United StatesCode1
Curriculum-based Reinforcement Learning for Distribution System Critical Load RestorationCode1
Data-Driven Sample Average Approximation with Covariate InformationCode1
COVIDNet-CT: A Tailored Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest CT ImagesCode1
Cryptocurrency Portfolio Management with Deep Reinforcement LearningCode1
COVID-CXNet: Detecting COVID-19 in Frontal Chest X-ray Images using Deep LearningCode1
COVID-Net CT-2: Enhanced Deep Neural Networks for Detection of COVID-19 from Chest CT Images Through Bigger, More Diverse LearningCode1
CryptoPulse: Short-Term Cryptocurrency Forecasting with Dual-Prediction and Cross-Correlated Market IndicatorsCode1
DDANet: Dual Decoder Attention Network for Automatic Polyp SegmentationCode1
Sequential Density Ratio Estimation for Simultaneous Optimization of Speed and AccuracyCode1
Controlling Neural Networks with Rule RepresentationsCode1
Contrastive Variational Reinforcement Learning for Complex ObservationsCode1
ContrXT: Generating Contrastive Explanations from any Text ClassifierCode1
Continuation Path Learning for Homotopy OptimizationCode1
Conformal Time-series ForecastingCode1
Constraint-Adaptive Policy Switching for Offline Safe Reinforcement LearningCode1
Conformal Convolution and Monte Carlo Meta-learners for Predictive Inference of Individual Treatment EffectsCode1
Conformal Inference of Counterfactuals and Individual Treatment EffectsCode1
Conformal Predictive Systems Under Covariate ShiftCode1
ContainerGym: A Real-World Reinforcement Learning Benchmark for Resource AllocationCode1
CoSense3D: an Agent-based Efficient Learning Framework for Collective PerceptionCode1
Concept-level Debugging of Part-Prototype NetworksCode1
Conditional-Flow NeRF: Accurate 3D Modelling with Reliable Uncertainty QuantificationCode1
ComTraQ-MPC: Meta-Trained DQN-MPC Integration for Trajectory Tracking with Limited Active Localization UpdatesCode1
A Comprehensive Evaluation of GPT-4V on Knowledge-Intensive Visual Question AnsweringCode1
Conditioning Sparse Variational Gaussian Processes for Online Decision-makingCode1
A Comprehensive Evaluation of Cognitive Biases in LLMsCode1
A Benchmark on Uncertainty Quantification for Deep Learning PrognosticsCode1
Comprehensive Training and Evaluation on Deep Reinforcement Learning for Automated Driving in Various Simulated Driving ManeuversCode1
Analyzing Fairness in Deepfake Detection With Massively Annotated DatabasesCode1
Adaptive Conformal Predictions for Time SeriesCode1
Computationally Assisted Quality Control for Public Health Data StreamsCode1
Conformal Alignment: Knowing When to Trust Foundation Models with GuaranteesCode1
Counterfactual Explainable RecommendationCode1
A Comparative Visual Analytics Framework for Evaluating Evolutionary Processes in Multi-objective OptimizationCode1
ComBiNet: Compact Convolutional Bayesian Neural Network for Image SegmentationCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4Unverified