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counterfactual

Papers

Showing 2650 of 2765 papers

TitleStatusHype
Fairness Evaluation for Uplift Modeling in the Absence of Ground TruthCode2
Benchmarking Large Language Models in Retrieval-Augmented GenerationCode2
Causal Reasoning and Large Language Models: Opening a New Frontier for CausalityCode2
Counterfactual Learning on Graphs: A SurveyCode2
OmniXAI: A Library for Explainable AICode2
MACE: An Efficient Model-Agnostic Framework for Counterfactual ExplanationCode2
auton-survival: an Open-Source Package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Event DataCode2
Counterfactual Phenotyping with Censored Time-to-EventsCode2
Model-agnostic and Scalable Counterfactual Explanations via Reinforcement LearningCode2
Towards Unifying Feature Attribution and Counterfactual Explanations: Different Means to the Same EndCode2
The Language Interpretability Tool: Extensible, Interactive Visualizations and Analysis for NLP ModelsCode2
CausalVAE: Structured Causal Disentanglement in Variational AutoencoderCode2
Unbiased Scene Graph Generation from Biased TrainingCode2
Preserving Causal Constraints in Counterfactual Explanations for Machine Learning ClassifiersCode2
Interpretable Counterfactual Explanations Guided by PrototypesCode2
Explaining Machine Learning Classifiers through Diverse Counterfactual ExplanationsCode2
Counterfactual Explanations without Opening the Black Box: Automated Decisions and the GDPRCode2
Diffusion-based Counterfactual Augmentation: Towards Robust and Interpretable Knee Osteoarthritis GradingCode1
Towards Robust Multimodal Emotion Recognition under Missing Modalities and Distribution ShiftsCode1
Curriculum Learning With Counterfactual Group Relative Policy Advantage For Multi-Agent Reinforcement LearningCode1
Llama See, Llama Do: A Mechanistic Perspective on Contextual Entrainment and Distraction in LLMsCode1
Antidote: A Unified Framework for Mitigating LVLM Hallucinations in Counterfactual Presupposition and Object PerceptionCode1
Demand Estimation with Text and Image DataCode1
Parameters vs. Context: Fine-Grained Control of Knowledge Reliance in Language ModelsCode1
DeCaFlow: A Deconfounding Causal Generative ModelCode1
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