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Decision Making

Papers

Showing 901950 of 12311 papers

TitleStatusHype
ComBiNet: Compact Convolutional Bayesian Neural Network for Image SegmentationCode1
A coevolutionary approach to deep multi-agent reinforcement learningCode1
GATSBI: Generative Agent-centric Spatio-temporal Object InteractionCode1
CLIMAT: Clinically-Inspired Multi-Agent Transformers for Knee Osteoarthritis Trajectory ForecastingCode1
VERB: Visualizing and Interpreting Bias Mitigation Techniques for Word RepresentationsCode1
TB-Net: A Tailored, Self-Attention Deep Convolutional Neural Network Design for Detection of Tuberculosis Cases from Chest X-ray ImagesCode1
A Semantic Segmentation Network for Urban-Scale Building Footprint Extraction Using RGB Satellite ImageryCode1
Skillful Precipitation Nowcasting using Deep Generative Models of RadarCode1
NewsMTSC: A Dataset for (Multi-)Target-dependent Sentiment Classification in Political News ArticlesCode1
Benchmarks for Deep Off-Policy EvaluationCode1
Beyond Trivial Counterfactual Explanations with Diverse Valuable ExplanationsCode1
Balancing Biases and Preserving Privacy on Balanced Faces in the WildCode1
Extended Tree Search for Robot Task and Motion PlanningCode1
Fibrosis-Net: A Tailored Deep Convolutional Neural Network Design for Prediction of Pulmonary Fibrosis Progression from Chest CT ImagesCode1
Structured Scene Memory for Vision-Language NavigationCode1
Hybrid and Automated Machine Learning Approaches for Oil Fields Development: the Case Study of Volve Field, North SeaCode1
GLAMOUR: Graph Learning over Macromolecule RepresentationsCode1
Fairness in Credit Scoring: Assessment, Implementation and Profit ImplicationsCode1
Significance tests of feature relevance for a black-box learnerCode1
Sketching Curvature for Efficient Out-of-Distribution Detection for Deep Neural NetworksCode1
ROAD: The ROad event Awareness Dataset for Autonomous DrivingCode1
Mixed Policy Gradient: off-policy reinforcement learning driven jointly by data and modelCode1
You Only Compress Once: Optimal Data Compression for Estimating Linear ModelsCode1
On the Effects of Quantisation on Model Uncertainty in Bayesian Neural NetworksCode1
A2-FPN for Semantic Segmentation of Fine-Resolution Remotely Sensed ImagesCode1
Private Prediction SetsCode1
OmiEmbed: a unified multi-task deep learning framework for multi-omics dataCode1
Proactive and AoI-aware Failure Recovery for Stateful NFV-enabled Zero-Touch 6G Networks: Model-Free DRL ApproachCode1
Uncertainty aware and explainable diagnosis of retinal diseaseCode1
Analyzing Epistemic and Aleatoric Uncertainty for Drusen Segmentation in Optical Coherence Tomography ImagesCode1
An empirical evaluation of active inference in multi-armed banditsCode1
GLocalX -- From Local to Global Explanations of Black Box AI ModelsCode1
COVID-Net CT-2: Enhanced Deep Neural Networks for Detection of COVID-19 from Chest CT Images Through Bigger, More Diverse LearningCode1
Weakly-Supervised Hierarchical Models for Predicting Persuasive Strategies in Good-faith Textual RequestsCode1
U-Noise: Learnable Noise Masks for Interpretable Image SegmentationCode1
Active Fire Detection in Landsat-8 Imagery: a Large-Scale Dataset and a Deep-Learning StudyCode1
Machine learning dismantling and early-warning signals of disintegration in complex systemsCode1
PFL-MoE: Personalized Federated Learning Based on Mixture of ExpertsCode1
DDANet: Dual Decoder Attention Network for Automatic Polyp SegmentationCode1
Learning non-stationary Langevin dynamics from stochastic observations of latent trajectoriesCode1
How to Train Your Differentiable FilterCode1
MEME: Generating RNN Model Explanations via Model ExtractionCode1
A Probabilistic Graphical Model Foundation for Enabling Predictive Digital Twins at ScaleCode1
Neural Prototype Trees for Interpretable Fine-grained Image RecognitionCode1
General Characterization of Agents by States they VisitCode1
Learning Multi-Agent Communication through Structured Attentive ReasoningCode1
TimeSHAP: Explaining Recurrent Models through Sequence PerturbationsCode1
A Recurrent Vision-and-Language BERT for NavigationCode1
An End-to-end Deep Reinforcement Learning Approach for the Long-term Short-term Planning on the Frenet SpaceCode1
Active Inference and Behavior Trees for Reactive Action Planning and Execution in RoboticsCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4Unverified