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TitleStatusHype
Counterfactual Explanations for Clustering Models—0
Explaining ELH Concept Descriptions through Counterfactual Reasoning—0
Counterfactual Explanations for Deep Learning-Based Traffic Forecasting—0
Counterfactual Explanations for k-means and Gaussian Clustering—0
Towards Explainable Land Cover Mapping: a Counterfactual-based Strategy—0
Counterfactual Explanations and Algorithmic Recourses for Machine Learning: A Review—0
Counterfactual Explanations for Machine Learning: Challenges Revisited—0
Counterfactual Explanations for Model Ensembles Using Entropic Risk Measures—0
Counterfactual Explanations for Multivariate Time-Series without Training Datasets—0
Counterfactual Explanations for Oblique Decision Trees: Exact, Efficient Algorithms—0
Counterfactual Explanations for Predictive Business Process Monitoring—0
Redefining Counterfactual Explanations for Reinforcement Learning: Overview, Challenges and Opportunities—0
Counterfactual Explanations for Support Vector Machine Models—0
Counterfactual Explanations of Black-box Machine Learning Models using Causal Discovery with Applications to Credit Rating—0
Counterfactual Explanations of Concept Drift—0
Counterfactual Explanations via Latent Space Projection and Interpolation—0
Counterfactual Explanations via Locally-guided Sequential Algorithmic Recourse—0
Counterfactual Explanations via Riemannian Latent Space Traversal—0
Counterfactual Explanation via Search in Gaussian Mixture Distributed Latent Space—0
Algorithmic Recourse with Missing Values—0
Counterfactual Fairness Evaluation of Machine Learning Models on Educational Datasets—0
Counterfactual Fairness for Predictions using Generative Adversarial Networks—0
Counterfactual Fairness in Text Classification through Robustness—0
Counterfactual Fairness Is Basically Demographic Parity—0
Counterfactual Fairness Is Not Demographic Parity, and Other Observations—0
Counterfactual fairness: removing direct effects through regularization—0
Counterfactual Fairness through Data Preprocessing—0
Counterfactual Fairness through Transforming Data Orthogonal to Bias—0
Counterfactual Fairness with Disentangled Causal Effect Variational Autoencoder—0
Counterfactual Fairness with Partially Known Causal Graph—0
Counterfactual Fair Opportunity: Measuring Decision Model Fairness with Counterfactual Reasoning—0
Counterfactual Formulation of Patient-Specific Root Causes of Disease—0
Evaluating and Mitigating Bias in Image Classifiers: A Causal Perspective Using Counterfactuals—0
Counterfactual Generation Under Confounding—0
Counterfactual Generation with Answer Set Programming—0
Counterfactual Generation with Knockoffs—0
Counterfactual Graph Transformer for Traffic Flow Prediction—0
Counterfactual Image Generation for adversarially robust and interpretable Classifiers—0
Counterfactual Image Networks—0
Counterfactual Image Synthesis for Discovery of Personalized Predictive Image Markers—0
Counterfactual Inference for Eliminating Sentiment Bias in Recommender Systems—0
Counterfactual inference for sequential experiments—0
Counterfactual Inference in Duration Models with Random Censoring—0
Counterfactual Inference under Thompson Sampling—0
Counterfactual Influence as a Distributional Quantity—0
Counterfactual Instances Explain Little—0
Counterfactual Intervention Feature Transfer for Visible-Infrared Person Re-identification—0
Counterfactual Interventions Reveal the Causal Effect of Relative Clause Representations on Agreement Prediction—0
Counterfactual Invariance to Spurious Correlations: Why and How to Pass Stress Tests—0
Counterfactual Invariance to Spurious Correlations in Text Classification—0
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