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counterfactual

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TitleStatusHype
Towards Understanding the Influence of Training Samples on Explanations—0
Probing the Category of Verbal Aspect in Transformer Language Models—0
Do Cure Violence Programs Reduce Gun Violence? Evidence from New York City—0
CoLa-DCE -- Concept-guided Latent Diffusion Counterfactual Explanations—0
Unsupervised Distractor Generation via Large Language Model Distilling and Counterfactual Contrastive Decoding—0
Expected Grad-CAM: Towards gradient faithfulnessCode0
Take its Essence, Discard its Dross! Debiasing for Toxic Language Detection via Counterfactual Causal EffectCode0
Causal Contrastive Learning for Counterfactual Regression Over Time—0
Enhancing Counterfactual Image Generation Using Mahalanobis Distance with Distribution Preferences in Feature Space—0
Weak Robust Compatibility Between Learning Algorithms and Counterfactual Explanation Generation Algorithms—0
Reward Machines for Deep RL in Noisy and Uncertain EnvironmentsCode0
Uncovering Bias in Large Vision-Language Models at Scale with Counterfactuals—0
XPrompt:Explaining Large Language Model's Generation via Joint Prompt Attribution—0
Can't make an Omelette without Breaking some Eggs: Plausible Action Anticipation using Large Video-Language Models—0
Probabilities of Causation for Continuous and Vector Variables—0
Watermarking Counterfactual ExplanationsCode0
GLANCE: Global Actions in a Nutshell for Counterfactual Explainability—0
Counterfactual Metarules for Local and Global Recourse—0
Synthetic Potential Outcomes and Causal Mixture Identifiability—0
Beyond Agreement: Diagnosing the Rationale Alignment of Automated Essay Scoring Methods based on Linguistically-informed CounterfactualsCode0
CF-OPT: Counterfactual Explanations for Structured PredictionCode0
Counterfactual Explanations for Multivariate Time-Series without Training Datasets—0
Unifying Perspectives: Plausible Counterfactual Explanations on Global, Group-wise, and Local Levels—0
Probabilistically Plausible Counterfactual Explanations with Normalizing Flows—0
Causal Concept Graph Models: Beyond Causal Opacity in Deep LearningCode0
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