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counterfactual

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Showing 1551–1600 of 2765 papers

TitleStatusHype
The Self-Normalized Estimator for Counterfactual Learning—0
The Stablecoin Discount: Evidence of Tether's U.S. Treasury Bill Market Share in Lowering Yields—0
The unequal effects of the health-economy tradeoff during the COVID-19 pandemic—0
The Utility of Text: The Case of Amicus Briefs and the Supreme Court—0
They're All Doctors: Synthesizing Diverse Counterfactuals to Mitigate Associative Bias—0
Through a Compressed Lens: Investigating the Impact of Quantization on LLM Explainability and Interpretability—0
TIGTEC : Token Importance Guided TExt Counterfactuals—0
Time Series Counterfactual Inference with Hidden Confounders—0
Tinkering with black boxes: counterfactuals uncover modularity in generative models—0
To do or not to do: finding causal relations in smart homes—0
Topic-aware Causal Intervention for Counterfactual Detection—0
Top-N Recommendation with Counterfactual User Preference Simulation—0
Toward a Flexible Framework for Linear Representation Hypothesis Using Maximum Likelihood Estimation—0
Toward A Logical Theory Of Fairness and Bias—0
Towards a Causal Probabilistic Framework for Prediction, Action-Selection & Explanations for Robot Block-Stacking Tasks—0
Towards a Holistic Evaluation of LLMs on Factual Knowledge Recall—0
Towards AI-Based Precision Oncology: A Machine Learning Framework for Personalized Counterfactual Treatment Suggestions based on Multi-Omics Data—0
Towards Causal Model-Based Policy Optimization—0
Causal Temporal Reasoning for Markov Decision Processes—0
Towards Content Provider Aware Recommender Systems: A Simulation Study on the Interplay between User and Provider Utilities—0
Towards Counterfactual and Contrastive Explainability and Transparency of DCNN Image Classifiers—0
Towards Desiderata-Driven Design of Visual Counterfactual Explainers—0
Towards Fair Graph Neural Networks via Graph Counterfactual without Sensitive Attributes—0
Towards Fair Machine Learning Software: Understanding and Addressing Model Bias Through Counterfactual Thinking—0
Towards Fairness Assessment of Dutch Hate Speech Detection—0
Towards Faithful Model Explanation in NLP: A Survey—0
Towards Fine-Grained Interpretability: Counterfactual Explanations for Misclassification with Saliency Partition—0
Towards Fixing Clever-Hans Predictors with Counterfactual Knowledge Distillation—0
Towards Human Cognition Level-based Experiment Design for Counterfactual Explanations (XAI)—0
Towards information based spatiotemporal patterns as a foundation for agent representation in dynamical systems—0
Towards Interpretable Counterfactual Generation via Multimodal Autoregression—0
Towards Logical Specification of Statistical Machine Learning—0
Towards Meaningful Anomaly Detection: The Effect of Counterfactual Explanations on the Investigation of Anomalies in Multivariate Time Series—0
Towards Multimodal Sentiment Analysis Debiasing via Bias Purification—0
Towards Non-Adversarial Algorithmic Recourse—0
Towards Probabilistic Causal Discovery, Inference & Explanations for Autonomous Drones in Mine Surveying Tasks—0
Towards Relatable Explainable AI with the Perceptual Process—0
Towards Robust Aspect-based Sentiment Analysis through Non-counterfactual Augmentations—0
Towards Two-Stage Counterfactual Learning to Rank—0
Towards Understanding Cooperative Multi-Agent Q-Learning with Value Factorization—0
Towards Understanding Linear Value Decomposition in Cooperative Multi-Agent Q-Learning—0
TRACE: A Self-Improving Framework for Robot Behavior Forecasting with Vision-Language Models—0
Training and Validating a Treatment Recommender with Partial Verification Evidence—0
Training Characteristic Functions with Reinforcement Learning: XAI-methods play Connect Four—0
Training Data Attribution via Approximate Unrolled Differentiation—0
Training on Plausible Counterfactuals Removes Spurious Correlations—0
Transcending XAI Algorithm Boundaries through End-User-Inspired Design—0
Transdisciplinary AI Observatory -- Retrospective Analyses and Future-Oriented Contradistinctions—0
Transferable Fairness for Cold-Start Recommendation—0
Transfer learning with causal counterfactual reasoning in Decision Transformers—0
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