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Counterfactual Explanation
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Returns a contrastive argument that permits to achieve the desired class, e.g., “to obtain this loan, you need XXX of annual revenue instead of the current YYY”
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
COMRECGC: Global Graph Counterfactual Explainer through Common Recourse
Latent Diffusion Autoencoders: Toward Efficient and Meaningful Unsupervised Representation Learning in Medical Imaging
Generalized Semantic Contrastive Learning via Embedding Side Information for Few-Shot Object Detection
Ranking Counterfactual Explanations
Counterfactual Explanations for Model Ensembles Using Entropic Risk Measures
Advancing climate model interpretability: Feature attribution for Arctic melt anomalies
A Novel Multi-Objective Evolutionary Algorithm for Counterfactual Generation
Leveraging counterfactual concepts for debugging and improving CNN model performance
Faithful Counterfactual Visual Explanations (FCVE)
Robust Counterfactual Explanations under Model Multiplicity Using Multi-Objective Optimization
Counterfactual Explanation for Auto-Encoder Based Time-Series Anomaly Detection
Adopting Trustworthy AI for Sleep Disorder Prediction: Deep Time Series Analysis with Temporal Attention Mechanism and Counterfactual Explanations
Multi-SpaCE: Multi-Objective Subsequence-based Sparse Counterfactual Explanations for Multivariate Time Series Classification
Derivative-Free Diffusion Manifold-Constrained Gradient for Unified XAI
Counterfactual Explanations via Riemannian Latent Space Traversal
A Comparative Analysis of Counterfactual Explanation Methods for Text Classifiers
M-CELS: Counterfactual Explanation for Multivariate Time Series Data Guided by Learned Saliency Maps
Towards Unifying Evaluation of Counterfactual Explanations: Leveraging Large Language Models for Human-Centric Assessments
Info-CELS: Informative Saliency Map Guided Counterfactual Explanation
Global Graph Counterfactual Explanation: A Subgraph Mapping Approach
Explaining Graph Neural Networks with Large Language Models: A Counterfactual Perspective for Molecular Property Prediction
DMGNN: Detecting and Mitigating Backdoor Attacks in Graph Neural Networks
Private Counterfactual Retrieval
Self-eXplainable AI for Medical Image Analysis: A Survey and New Outlooks
The Gaussian Discriminant Variational Autoencoder (GdVAE): A Self-Explainable Model with Counterfactual Explanations
A Counterfactual Explanation Framework for Retrieval Models
X-Fake: Juggling Utility Evaluation and Explanation of Simulated SAR Images
Generally-Occurring Model Change for Robust Counterfactual Explanations
Explainable bank failure prediction models: Counterfactual explanations to reduce the failure risk
Global Human-guided Counterfactual Explanations for Molecular Properties via Reinforcement Learning
Towards Understanding the Influence of Training Samples on Explanations
Weak Robust Compatibility Between Learning Algorithms and Counterfactual Explanation Generation Algorithms
Enhancing Counterfactual Image Generation Using Mahalanobis Distance with Distribution Preferences in Feature Space
XPrompt:Explaining Large Language Model's Generation via Joint Prompt Attribution
Counterfactual Metarules for Local and Global Recourse
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