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Decision Making

Papers

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Showing 9101–9150 of 12311 papers

TitleStatusHype
Explaining the Black-box Smoothly- A Counterfactual Approach—0
Automatic Face Understanding: Recognizing Families in Photos—0
Coupling a generative model with a discriminative learning framework for speaker verification—0
Deep Reinforcement Learning with Function Properties in Mean Reversion StrategiesCode0
Interpretable Multiple Treatment Revenue Uplift Modeling—0
Analysis of Evolutionary Program Synthesis for Card GamesCode0
A Tale of Fairness Revisited: Beyond Adversarial Learning for Deep Neural Network Fairness—0
Improving non-deterministic uncertainty modelling in Industry 4.0 scheduling—0
Towards a Robust and Trustworthy Machine Learning System Development: An Engineering Perspective—0
Automated Diagnosis of Intestinal Parasites: A new hybrid approach and its benefits—0
Associated Spatio-Temporal Capsule Network for Gait Recognition—0
BDNNSurv: Bayesian deep neural networks for survival analysis using pseudo values—0
Reinforced Imitative Graph Representation Learning for Mobile User Profiling: An Adversarial Training Perspective—0
Predicting Illness for a Sustainable Dairy Agriculture: Predicting and Explaining the Onset of Mastitis in Dairy Cows—0
GeCo: Quality Counterfactual Explanations in Real TimeCode0
Explainable AI for Robot Failures: Generating Explanations that Improve User Assistance in Fault Recovery—0
A redox-responsive hyaluronic acid-based hydrogel for chronic wound management—0
Reinforcement Learning based Collective Entity Alignment with Adaptive FeaturesCode0
Explainable AI and Adoption of Financial Algorithmic Advisors: an Experimental Study—0
Weight-of-evidence 2.0 with shrinkage and spline-binningCode0
To do or not to do: cost-sensitive causal decision-making—0
Robust Maximum Entropy Behavior Cloning—0
Stochastic Optimization for Vaccine and Testing Kit Allocation for the COVID-19 Pandemic—0
Robust Machine Learning Systems: Challenges, Current Trends, Perspectives, and the Road Ahead—0
"Brilliant AI Doctor" in Rural China: Tensions and Challenges in AI-Powered CDSS Deployment—0
Combining unsupervised and supervised learning for predicting the final stroke lesionCode0
Reinforcement Learning for Flexibility Design Problems—0
Neural Network Surgery: Combining Training with Topology Optimization—0
Learning to Control on the Fly—0
Constraint-Driven Explanations of Black-Box ML Models—0
Estimating Treatment Effects via Orthogonal Regularization—0
Learning to Recover from Failures using Memory—0
Early Prediction of Heart Disease Using PCA and Hybrid Genetic Algorithm with k-Means—0
Beyond COVID-19 Diagnosis: Prognosis with Hierarchical Graph Representation Learning—0
Computing Preimages of Deep Neural Networks with Applications to Safety—0
Model-based Navigation in Environments with Novel Layouts Using Abstract 2-D Maps—0
DynaTune: Dynamic Tensor Program Optimization in Deep Neural Network Compilation—0
Beyond Trivial Counterfactual Generations with Diverse Valuable Explanations—0
Learning to Learn with Smooth Regularization—0
Driving through the Lens: Improving Generalization of Learning-based Steering using Simulated Adversarial Examples—0
Learning to Make Decisions via Submodular Regularization—0
Counterfactual Fairness through Data Preprocessing—0
Divide-and-Conquer Monte Carlo Tree Search—0
Efficient Learning-based Scheduling for Information Freshness in Wireless Networks—0
Learning to Observe with Reinforcement Learning—0
Learning Flexible Visual Representations via Interactive Gameplay—0
Hard Masking for Explaining Graph Neural Networks—0
Understanding and Leveraging Causal Relations in Deep Reinforcement Learning—0
Success-Rate Targeted Reinforcement Learning by Disorientation Penalty—0
Towards a Reliable and Robust Dialogue System for Medical Automatic Diagnosis—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4—Unverified