conftrace_

counterfactual explanation

139 papers

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Also known as

CE

Co-occurring keywords

explainable ai (480) model interpretability (519) algorithmic recourse (22) graph neural network (3962) generative model (2892) large language model (13587) text classification (6793) image classification (1944) causal inference (1630) explainable artificial intelligence (130)

Papers

CMACE: CMAES-based Counterfactual Explanations for Black-box Models IJCAI 2024
Faithful Model Explanations through Energy-Constrained Conformal Counterfactuals AAAI 2024
Robust Counterfactual Explanations in Machine Learning: A Survey IJCAI 2024
AR-Pro: Counterfactual Explanations for Anomaly Repair with Formal Properties NIPS 2024
Manifold-Aligned Counterfactual Explanations for Neural Networks AISTATS 2024
Optimal and efficient text counterfactuals using Graph Neural Networks EMNLP 2024
Explaining Graph Neural Networks with Large Language Models: A Counterfactual Perspective on Molecule Graphs EMNLP 2024
Explaining Reinforcement Learning Agents through Counterfactual Action Outcomes AAAI 2024
Counterfactual Explanations for Misclassified Images: How Human and Machine Explanations Differ (Abstract Reprint) AAAI 2024
Robust Stochastic Graph Generator for Counterfactual Explanations AAAI 2024
Reassessing Evaluation Functions in Algorithmic Recourse: An Empirical Study from a Human-Centered Perspective IJCAI 2024
Image Safeguarding: Reasoning with Conditional Vision Language Model and Obfuscating Unsafe Content Counterfactually AAAI 2024
Semi-factual Explanations in AI AAAI 2024
Promoting Counterfactual Robustness through Diversity AAAI 2024
A General Search-Based Framework for Generating Textual Counterfactual Explanations AAAI 2024
CARE: Counterfactual-Based Algorithmic Recourse for Explainable Pose Correction WACV 2024
Model Reconstruction Using Counterfactual Explanations: A Perspective From Polytope Theory NIPS 2024
Relevant Irrelevance: Generating Alterfactual Explanations for Image Classifiers IJCAI 2024
DiG-IN: Diffusion Guidance for Investigating Networks - Uncovering Classifier Differences Neuron Visualisations and Visual Counterfactual Explanations CVPR 2024
Are self-explanations from Large Language Models faithful? ACL 2024
OCTET: Object-Aware Counterfactual Explanations CVPR 2023
Interpretable Neural-Symbolic Concept Reasoning ICML 2023
Towards Conceptualization of “Fair Explanation”: Disparate Impacts of anti-Asian Hate Speech Explanations on Content Moderators EMNLP 2023
Robust Counterfactual Explanations for Neural Networks With Probabilistic Guarantees ICML 2023
GLOBE-CE: A Translation Based Approach for Global Counterfactual Explanations ICML 2023