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Showing 1951–1975 of 2765 papers

TitleStatusHype
Causal Information Prioritization for Efficient Reinforcement Learning—0
Causal Information Splitting: Engineering Proxy Features for Robustness to Distribution Shifts—0
Causality and Explainability for Trustworthy Integrated Pest Management—0
Causality and "In-the-Wild" Video-Based Person Re-ID: A Survey—0
Causality-aware counterfactual confounding adjustment as an alternative to linear residualization in anticausal prediction tasks based on linear learners—0
Causality-inspired Discriminative Feature Learning in Triple Domains for Gait Recognition—0
Causality in the Can: Diet Coke's Impact on Fatness—0
CausalKG: Causal Knowledge Graph Explainability using interventional and counterfactual reasoning—0
Causal K-Means Clustering—0
Transfer Learning for Individual Treatment Effect Estimation—0
Causal Links Between Anthropogenic Emissions and Air Pollution Dynamics in Delhi—0
Causal modelling without introducing counterfactuals or abstract distributions—0
CausalMTA: Eliminating the User Confounding Bias for Causal Multi-touch Attribution—0
Causal Operator Discovery in Partial Differential Equations via Counterfactual Physics-Informed Neural Networks—0
Causal policy ranking—0
Causal Prototype-inspired Contrast Adaptation for Unsupervised Domain Adaptive Semantic Segmentation of High-resolution Remote Sensing Imagery—0
Causal Repair of Learning-enabled Cyber-physical Systems—0
Data Augmentations for Improved (Large) Language Model Generalization—0
Causal Transfer Random Forest: Combining Logged Data and Randomized Experiments for Robust Prediction—0
Causal Unit Selection using Tractable Arithmetic Circuits—0
Causal World Models by Unsupervised Deconfounding of Physical Dynamics—0
CausalX: Causal Explanations and Block Multilinear Factor Analysis—0
Cause and Effect: Can Large Language Models Truly Understand Causality?—0
CAUSE: Counterfactual Assessment of User Satisfaction Estimation in Task-Oriented Dialogue Systems—0
CauseRec: Counterfactual User Sequence Synthesis for Sequential Recommendation—0
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