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TitleStatusHype
Robust Counterfactual Explanations under Model Multiplicity Using Multi-Objective Optimization—0
Navigating Tomorrow: Reliably Assessing Large Language Models Performance on Future Event Prediction—0
Model Alignment Search—0
Explaining k-Nearest Neighbors: Abductive and Counterfactual Explanations—0
Off-Policy Evaluation and Counterfactual Methods in Dynamic Auction Environments—0
Explainable Time Series Prediction of Tyre Energy in Formula One Race Strategy—0
Estimating Discrete Choice Demand Models with Sparse Market-Product Shocks—0
Counterfactual Explanation for Auto-Encoder Based Time-Series Anomaly Detection—0
Model Diagnosis and Correction via Linguistic and Implicit Attribute Editing—0
Text-Driven Fashion Image Editing with Compositional Concept Learning and Counterfactual Abduction—0
Towards Fine-Grained Interpretability: Counterfactual Explanations for Misclassification with Saliency Partition—0
FitCF: A Framework for Automatic Feature Importance-guided Counterfactual Example GenerationCode0
Post Launch Evaluation of Policies in a High-Dimensional Setting—0
Econometric Analysis of Pandemic Disruption and Recovery Trajectory in the U.S. Rail Freight Industry—0
Unsupervised dense retrieval with conterfactual contrastive learning—0
Latent Drifting in Diffusion Models for Counterfactual Medical Image Synthesis—0
Counterfactual Samples Constructing and Training for Commonsense Statements Estimation—0
Consumption Periods in Advance Selling Auctions: Evidence from US Timber Market—0
A Robust Adversarial Ensemble with Causal (Feature Interaction) Interpretations for Image Classification—0
Scalable Hierarchical Reinforcement Learning for Hyper Scale Multi-Robot Task Planning—0
FedCFA: Alleviating Simpson's Paradox in Model Aggregation with Counterfactual Federated LearningCode1
Adopting Trustworthy AI for Sleep Disorder Prediction: Deep Time Series Analysis with Temporal Attention Mechanism and Counterfactual Explanations—0
SurvAttack: Black-Box Attack On Survival Models through Ontology-Informed EHR Perturbation—0
Constructing Fair Latent Space for Intersection of Fairness and Explainability—0
Joint Knowledge Editing for Information Enrichment and Probability PromotionCode0
Image Quality Assessment: Investigating Causal Perceptual Effects with Abductive Counterfactual Inference—0
Understanding Individual Agent Importance in Multi-Agent System via Counterfactual Reasoning—0
AgroXAI: Explainable AI-Driven Crop Recommendation System for Agriculture 4.0—0
One for Dozens: Adaptive REcommendation for All Domains with Counterfactual AugmentationCode0
Using Instruction-Tuned Large Language Models to Identify Indicators of Vulnerability in Police Incident NarrativesCode0
Dynamic Graph Attention Networks for Travel Time Distribution Prediction in Urban Arterial Roads—0
Multi-SpaCE: Multi-Objective Subsequence-based Sparse Counterfactual Explanations for Multivariate Time Series ClassificationCode0
Evidence Contextualization and Counterfactual Attribution for Conversational QA over Heterogeneous Data with RAG Systems—0
A Neyman-Orthogonalization Approach to the Incidental Parameter Problem—0
Towards Fair Graph Neural Networks via Graph Counterfactual without Sensitive Attributes—0
Learning Structural Causal Models from Ordering: Identifiable Flow Models—0
A comprehensive interpretable machine learning framework for Mild Cognitive Impairment and Alzheimer's disease diagnosis—0
Pinpoint Counterfactuals: Reducing social bias in foundation models via localized counterfactual generation—0
CANDOR: Counterfactual ANnotated DOubly Robust Off-Policy Evaluation—0
Multimodal Sentiment Analysis Based on Causal Reasoning—0
Political-LLM: Large Language Models in Political Science—0
Charting the Shapes of Stories with Game Theory—0
DART-Eval: A Comprehensive DNA Language Model Evaluation Benchmark on Regulatory DNACode1
Constructing optimal treatment length strategies to maximize quality-adjusted lifetimes—0
Estimating the treatment effect over time under general interference through deep learner integrated TMLE—0
Towards counterfactual fairness through auxiliary variablesCode0
Graph Disentangle Causal Model: Enhancing Causal Inference in Networked Observational Data—0
Extractive Structures Learned in Pretraining Enable Generalization on Finetuned FactsCode0
MTMT: Consolidating Multiple Thinking Modes to Form a Thought Tree for Strengthening LLM—0
MACAW: A Causal Generative Model for Medical ImagingCode0
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