SOTAVerified

Decision Making

Papers

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Showing 7276–7300 of 12311 papers

TitleStatusHype
A Methodology and Software Architecture to Support Explainability-by-DesignCode0
What Should I Know? Using Meta-gradient Descent for Predictive Feature Discovery in a Single Stream of Experience—0
Revisiting the Shape-Bias of Deep Learning for Dermoscopic Skin Lesion ClassificationCode0
Specifying and Testing k-Safety Properties for Machine-Learning ModelsCode0
A Survey on Uncertainty Reasoning and Quantification for Decision Making: Belief Theory Meets Deep Learning—0
Machine learning approaches for COVID-19 detection from chest X-ray imaging: A Systematic Review—0
Monitoring and Proactive Management of QoS Levels in Pervasive Applications—0
Grid-SiPhyR: An end-to-end learning to optimize framework for combinatorial problems in power systems—0
VAC2: Visual Analysis of Combined Causality in Event Sequences—0
Surround-View Cameras based Holistic Visual Perception for Automated DrivingCode0
Weakly-supervised segmentation using inherently-explainable classification models and their application to brain tumour classificationCode0
Classes of Aggregation Rules for Ethical Decision Making in Automated Systems—0
Large-Scale Retrieval for Reinforcement Learning—0
Interactively Learning Preference Constraints in Linear BanditsCode0
Explaining Image Classifiers Using Contrastive Counterfactuals in Generative Latent Spaces—0
A taxonomy of explanations to support Explainability-by-Design—0
Concept Identification for Complex Engineering Datasets—0
Joint Entropy Search for Maximally-Informed Bayesian OptimizationCode0
Predictive Exit: Prediction of Fine-Grained Early Exits for Computation- and Energy-Efficient Inference—0
Balanced background and explanation data are needed in explaining deep learning models with SHAP: An empirical study on clinical decision makingCode0
Efficient Resource Allocation with Fairness Constraints in Restless Multi-Armed Bandits—0
Combining Monte-Carlo Tree Search with Proof-Number Search—0
Integrating Symmetry into Differentiable Planning with Steerable Convolutions—0
How unfair is private learning ?—0
Fair Classification via Domain Adaptation: A Dual Adversarial Learning ApproachCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4—Unverified