SOTAVerified

Decision Making

Papers

Showing 68516900 of 12311 papers

TitleStatusHype
A Survey on Model-based Reinforcement Learning0
GaLeNet: Multimodal Learning for Disaster Prediction, Management and Relief0
Analysis & Computational Complexity Reduction of Monocular and Stereo Depth Estimation TechniquesCode0
Machine Learning in Sports: A Case Study on Using Explainable Models for Predicting Outcomes of Volleyball Matches0
Proposing Dynamic Model of Functional Interactions of IoT Technological Innovation System by Using System Dynamics and Fuzzy DEMATEL0
CookDial: A dataset for task-oriented dialogs grounded in procedural documentsCode0
Holistic Transformer: A Joint Neural Network for Trajectory Prediction and Decision-Making of Autonomous Vehicles0
Explainability's Gain is Optimality's Loss? -- How Explanations Bias Decision-making0
Strategic Representation0
Thompson Sampling Achieves O(T) Regret in Linear Quadratic Control0
Quantifying Feature Contributions to Overall Disparity Using Information Theory0
Belief-Desire-Intention (BDI) Multi-agent System for Cloud Marketplace Negotiation0
Definition drives design: Disability models and mechanisms of bias in AI technologies0
Evaluating Short-Term Forecasting of Multiple Time Series in IoT EnvironmentsCode0
Automating the resolution of flight conflicts: Deep reinforcement learning in service of air traffic controllers0
Knowledge Management System with NLP-Assisted Annotations: A Brief Survey and Outlook0
Theory of Machine Learning with Limited Data0
Learning Large-scale Subsurface Simulations with a Hybrid Graph Network Simulator0
Coevolutionary Dynamics of Actions and Opinions in Social Networks0
Mean-Semivariance Policy Optimization via Risk-Averse Reinforcement Learning0
Online Contextual Decision-Making with a Smart Predict-then-Optimize Method0
Physics-Infused Fuzzy Generative Adversarial Network for Robust Failure Prognosis0
Federated Learning with Uncertainty via Distilled Predictive Distributions0
A Search-Based Testing Approach for Deep Reinforcement Learning AgentsCode1
Self-Assessment for Single-Object Tracking in Clutter Using Subjective Logic0
Applications of Generative Adversarial Networks in Neuroimaging and Clinical Neuroscience0
Astock: A New Dataset and Automated Stock Trading based on Stock-specific News Analyzing ModelCode2
Combining Counterfactuals With Shapley Values To Explain Image Models0
CNN-based Classification Framework for Lung Tissues with Auxiliary Information0
Temporal Multimodal Multivariate Learning0
What Should I Know? Using Meta-gradient Descent for Predictive Feature Discovery in a Single Stream of Experience0
Revisiting the Shape-Bias of Deep Learning for Dermoscopic Skin Lesion ClassificationCode0
Specifying and Testing k-Safety Properties for Machine-Learning ModelsCode0
Deep ensemble learning for segmenting tuberculosis-consistent manifestations in chest radiographs0
A Methodology and Software Architecture to Support Explainability-by-DesignCode0
A Survey on Uncertainty Reasoning and Quantification for Decision Making: Belief Theory Meets Deep Learning0
Bootstrapping Multi-view Representations for Fake News DetectionCode1
Grid-SiPhyR: An end-to-end learning to optimize framework for combinatorial problems in power systems0
Machine learning approaches for COVID-19 detection from chest X-ray imaging: A Systematic Review0
Monitoring and Proactive Management of QoS Levels in Pervasive Applications0
Surround-View Cameras based Holistic Visual Perception for Automated DrivingCode0
VAC2: Visual Analysis of Combined Causality in Event Sequences0
Large-Scale Retrieval for Reinforcement Learning0
Explaining Image Classifiers Using Contrastive Counterfactuals in Generative Latent Spaces0
Classes of Aggregation Rules for Ethical Decision Making in Automated Systems0
Interactively Learning Preference Constraints in Linear BanditsCode0
Weakly-supervised segmentation using inherently-explainable classification models and their application to brain tumour classificationCode0
Concept Identification for Complex Engineering Datasets0
Joint Entropy Search for Maximally-Informed Bayesian OptimizationCode0
Predictive Exit: Prediction of Fine-Grained Early Exits for Computation- and Energy-Efficient Inference0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4Unverified