SOTAVerified

Decision Making

Papers

Showing 251300 of 12311 papers

TitleStatusHype
Deep Reinforcement Learning with Task-Adaptive Retrieval via HypernetworkCode1
A survey on datasets for fairness-aware machine learningCode1
A Survey of World Models for Autonomous DrivingCode1
Argumentative Large Language Models for Explainable and Contestable Claim VerificationCode1
Comparing Deep Reinforcement Learning Algorithms in Two-Echelon Supply ChainsCode1
CLIMAT: Clinically-Inspired Multi-Agent Transformers for Knee Osteoarthritis Trajectory ForecastingCode1
Deep Reinforcement Learning based Recommendation with Explicit User-Item Interactions ModelingCode1
Deep Reinforcement Learning for Entity AlignmentCode1
Defeasible Visual Entailment: Benchmark, Evaluator, and Reward-Driven OptimizationCode1
Are Human-generated Demonstrations Necessary for In-context Learning?Code1
Deep learning with self-supervision and uncertainty regularization to count fish in underwater imagesCode1
Sequential Density Ratio Estimation for Simultaneous Optimization of Speed and AccuracyCode1
A Recurrent Vision-and-Language BERT for NavigationCode1
Deep Learning-based Frozen Section to FFPE TranslationCode1
Deep Neural Networks Tend To Extrapolate PredictablyCode1
A RAG-Based Multi-Agent LLM System for Natural Hazard Resilience and AdaptationCode1
A Probabilistic U-Net for Segmentation of Ambiguous ImagesCode1
A Probabilistic Graphical Model Foundation for Enabling Predictive Digital Twins at ScaleCode1
Deep Bayesian InversionCode1
Deep Policies for Online Bipartite Matching: A Reinforcement Learning ApproachCode1
DEFN: Dual-Encoder Fourier Group Harmonics Network for Three-Dimensional Indistinct-Boundary Object SegmentationCode1
Decision Mamba: Reinforcement Learning via Sequence Modeling with Selective State SpacesCode1
Decision Stacks: Flexible Reinforcement Learning via Modular Generative ModelsCode1
Decision-Focused Learning: Foundations, State of the Art, Benchmark and Future OpportunitiesCode1
Approximate Inference in Discrete Distributions with Monte Carlo Tree Search and Value FunctionsCode1
Decision-Making with Auto-Encoding Variational BayesCode1
Decision Trees for Decision-Making under the Predict-then-Optimize FrameworkCode1
Data-Driven Methods to Monitor, Model, Forecast and Control Covid-19 Pandemic: Leveraging Data Science, Epidemiology and Control TheoryCode1
Large-scale Building Damage Assessment using a Novel Hierarchical Transformer Architecture on Satellite ImagesCode1
Data-Driven Sample Average Approximation with Covariate InformationCode1
Curriculum-based Reinforcement Learning for Distribution System Critical Load RestorationCode1
Curating a COVID-19 data repository and forecasting county-level death counts in the United StatesCode1
CUTS+: High-dimensional Causal Discovery from Irregular Time-seriesCode1
DDANet: Dual Decoder Attention Network for Automatic Polyp SegmentationCode1
Decoding the Enigma: Benchmarking Humans and AIs on the Many Facets of Working MemoryCode1
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
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
A Comprehensive Evaluation of GPT-4V on Knowledge-Intensive Visual Question AnsweringCode1
CryptoPulse: Short-Term Cryptocurrency Forecasting with Dual-Prediction and Cross-Correlated Market IndicatorsCode1
A Comprehensive Evaluation of Cognitive Biases in LLMsCode1
A Benchmark on Uncertainty Quantification for Deep Learning PrognosticsCode1
COVID-CXNet: Detecting COVID-19 in Frontal Chest X-ray Images using Deep LearningCode1
Analyzing Fairness in Deepfake Detection With Massively Annotated DatabasesCode1
An Objective Metric for Explainable AI: How and Why to Estimate the Degree of ExplainabilityCode1
COVID-Net CT-2: Enhanced Deep Neural Networks for Detection of COVID-19 from Chest CT Images Through Bigger, More Diverse LearningCode1
Decomposed Mutual Information Optimization for Generalized Context in Meta-Reinforcement LearningCode1
A Comparative Visual Analytics Framework for Evaluating Evolutionary Processes in Multi-objective OptimizationCode1
CoSense3D: an Agent-based Efficient Learning Framework for Collective PerceptionCode1
Controlling Neural Networks with Rule RepresentationsCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4Unverified