conftrace_

feature attribution

280 papers

Explore in graph

Also known as

FA

Co-occurring keywords

model interpretability (519) explainable ai (480) shapley value (206) model explanation (155) neural network (6616) text classification (6793) explainable artificial intelligence (130) neural network interpretability (114) integrated gradient (71) attribution method (79)

Papers

Partial Order in Chaos: Consensus on Feature Attributions in the Rashomon Set JMLR 2023
Two-stage holistic and contrastive explanation of image classification UAI 2023
Locally Invariant Explanations: Towards Stable and Unidirectional Explanations through Local Invariant Learning NIPS 2023
Don’t be fooled: label leakage in explanation methods and the importance of their quantitative evaluation AISTATS 2023
Towards Better Visualizing the Decision Basis of Networks via Unfold and Conquer Attribution Guidance AAAI 2023
Interventional SHAP Values and Interaction Values for Piecewise Linear Regression Trees AAAI 2023
Manifold Restricted Interventional Shapley Values AISTATS 2023
Efficient Shapley Values Estimation by Amortization for Text Classification ACL 2023
Saliency Map Verbalization: Comparing Feature Importance Representations from Model-free and Instruction-based Methods ACL 2023
Rethinking Interpretation: Input-Agnostic Saliency Mapping of Deep Visual Classifiers AAAI 2023
Feature Interactions Reveal Linguistic Structure in Language Models ACL 2023
Neighboring Words Affect Human Interpretation of Saliency Explanations ACL 2023
Towards Faithful Explanations for Text Classification with Robustness Improvement and Explanation Guided Training ACL 2023
SketchXAI: A First Look at Explainability for Human Sketches CVPR 2023
$\mathcal{M}^4$: A Unified XAI Benchmark for Faithfulness Evaluation of Feature Attribution Methods across Metrics, Modalities and Models NIPS 2023
SAME: Uncovering GNN Black Box with Structure-aware Shapley-based Multipiece Explanations NIPS 2023
Explaining Predictive Uncertainty with Information Theoretic Shapley Values NIPS 2023
Local Path Integration for Attribution AAAI 2023
ExSum: From Local Explanations to Model Understanding NAACL 2022
Can Explanations Be Useful for Calibrating Black Box Models? ACL 2022
“Will You Find These Shortcuts?” A Protocol for Evaluating the Faithfulness of Input Salience Methods for Text Classification EMNLP 2022
On the Impact of Temporal Concept Drift on Model Explanations EMNLP 2022
Towards Better Understanding Attribution Methods CVPR 2022
Do Explanations Explain? Model Knows Best CVPR 2022
Actionable Model-Centric Explanations (Student Abstract) AAAI 2022