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Showing 1051–1100 of 2765 papers

TitleStatusHype
Fast Model Debias with Machine Unlearning—0
Data Augmentations for Improved (Large) Language Model Generalization—0
Generating collective counterfactual explanations in score-based classification via mathematical optimizationCode0
Peer Effects in Consideration and Preferences—0
Agent-Specific Effects: A Causal Effect Propagation Analysis in Multi-Agent MDPsCode0
From Identifiable Causal Representations to Controllable Counterfactual Generation: A Survey on Causal Generative Modeling—0
Will the Prince Get True Love's Kiss? On the Model Sensitivity to Gender Perturbation over Fairytale Texts—0
BiomedJourney: Counterfactual Biomedical Image Generation by Instruction-Learning from Multimodal Patient Journeys—0
Causal Dynamic Variational Autoencoder for Counterfactual Regression in Longitudinal Data—0
Unified Merger List in the Container Shipping Industry from 1966 to 2022: A Structural Estimation of M&A Matching—0
Estimating Individual Responses when Tomorrow Matters—0
Evading Community Detection via Counterfactual Neighborhood Search—0
Improving Large Language Models in Event Relation Logical PredictionCode1
Counterfactual Explanations for Time Series ForecastingCode1
Deep Backtracking Counterfactuals for Causally Compliant ExplanationsCode0
NeuroInspect: Interpretable Neuron-based Debugging Framework through Class-conditional VisualizationsCode0
Explainable Image Similarity: Integrating Siamese Networks and Grad-CAMCode1
Accurate Use of Label Dependency in Multi-Label Text Classification Through the Lens of Causality—0
Latent Diffusion Counterfactual ExplanationsCode1
What If the TV Was Off? Examining Counterfactual Reasoning Abilities of Multi-modal Language ModelsCode1
Poverty during Covid-19 in North Macedonia: Analysis of the distributional impact of the crisis and government response—0
MenatQA: A New Dataset for Testing the Temporal Comprehension and Reasoning Abilities of Large Language ModelsCode1
Offline Imitation Learning with Variational Counterfactual ReasoningCode0
MMTF: Multi-Modal Temporal Fusion for Commonsense Video Question Answering—0
Assessing Electricity Service Unfairness with Transfer Counterfactual Learning—0
A Quantitatively Interpretable Model for Alzheimer's Disease Prediction Using Deep CounterfactualsCode0
Tractable Bounding of Counterfactual Queries by Knowledge CompilationCode1
Fairness-enhancing mixed effects deep learning improves fairness on in- and out-of-distribution clustered (non-iid) data—0
Probing Intersectional Biases in Vision-Language Models with Counterfactual Examples—0
Exploring Counterfactual Alignment Loss towards Human-centered AI—0
GNNX-BENCH: Unravelling the Utility of Perturbation-based GNN Explainers through In-depth BenchmarkingCode1
Towards Feasible Counterfactual Explanations: A Taxonomy Guided Template-based NLG MethodCode0
Designing User-Centric Behavioral Interventions to Prevent Dysglycemia with Novel Counterfactual Explanations—0
Towards Fixing Clever-Hans Predictors with Counterfactual Knowledge Distillation—0
Counterfactual Image Generation for adversarially robust and interpretable Classifiers—0
Faithful Explanations of Black-box NLP Models Using LLM-generated Counterfactuals—0
A PSO Based Method to Generate Actionable Counterfactuals for High Dimensional Data—0
Tell Me a Story! Narrative-Driven XAI with Large Language ModelsCode0
T-COL: Generating Counterfactual Explanations for General User Preferences on Variable Machine Learning SystemsCode0
Nonparametric estimation of a covariate-adjusted counterfactual treatment regimen response curve—0
TraCE: Trajectory Counterfactual Explanation ScoresCode0
Robust Stance Detection: Understanding Public Perceptions in Social Media—0
Leveraging Uncertainties to Infer Preferences: Robust Analysis of School Choice—0
Recursive Counterfactual Deconfounding for Object Recognition—0
COCO-Counterfactuals: Automatically Constructed Counterfactual Examples for Image-Text Pairs—0
Towards LLM-guided Causal Explainability for Black-box Text Classifiers—0
Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement LearningCode1
Searching for Smurfs: Testing if Money Launderers Know Alert ThresholdsCode0
Provably Robust and Plausible Counterfactual Explanations for Neural Networks via Robust OptimisationCode0
Towards Counterfactual Fairness-aware Domain Generalization in Changing Environments—0
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