conftrace_

model explanation

155 papers

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Co-occurring keywords

feature attribution (280) model interpretability (519) shapley value (206) feature importance (139) explainable ai (480) black-box model (90) text classification (6793) graph neural network (3962) attention mechanism (4001) neural network (6616)

Papers

XRand: Differentially Private Defense against Explanation-Guided Attacks AAAI 2023
DecompX: Explaining Transformers Decisions by Propagating Token Decomposition ACL 2023
An Integrated Approach for Political Bias Prediction and Explanation Based on Discursive Structure ACL 2023
Quantus: An Explainable AI Toolkit for Responsible Evaluation of Neural Network Explanations and Beyond JMLR 2023
HarsanyiNet: Computing Accurate Shapley Values in a Single Forward Propagation ICML 2023
Globally-Consistent Rule-Based Summary-Explanations for Machine Learning Models: Application to Credit-Risk Evaluation JMLR 2023
Explaining Image Classifiers With Multiscale Directional Image Representation CVPR 2023
Sample based Explanations via Generalized Representers NIPS 2023
Margin-distancing for safe model explanation AISTATS 2022
Accelerating Shapley Explanation via Contributive Cooperator Selection ICML 2022
Probing GNN Explainers: A Rigorous Theoretical and Empirical Analysis of GNN Explanation Methods AISTATS 2022
What Does My GNN Really Capture? On Exploring Internal GNN Representations IJCAI 2022
Learning to Generate Inversion-Resistant Model Explanations NIPS 2022
Improved feature importance computation for tree models based on the Banzhaf value UAI 2022
Consistent Explanations by Contrastive Learning CVPR 2022
Use-Case-Grounded Simulations for Explanation Evaluation NIPS 2022
Learning to Scaffold: Optimizing Model Explanations for Teaching NIPS 2022
GStarX: Explaining Graph Neural Networks with Structure-Aware Cooperative Games NIPS 2022
Prototype-Based Explanations for Graph Neural Networks (Student Abstract) AAAI 2022
Washing The Unwashable : On The (Im)possibility of Fairwashing Detection NIPS 2022
Unsupervised Causal Binary Concepts Discovery with VAE for Black-Box Model Explanation AAAI 2022
On the Impact of Temporal Concept Drift on Model Explanations EMNLP 2022
Necessity and Sufficiency for Explaining Text Classifiers: A Case Study in Hate Speech Detection NAACL 2022
Constraint-Driven Explanations for Black-Box ML Models AAAI 2022
SHAP-Based Explanation Methods: A Review for NLP Interpretability COLING 2022