conftrace_

feature attribution

280 papers

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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

Inducing Generalizable and Interpretable Lexica EMNLP 2022
Explain, Edit, and Understand: Rethinking User Study Design for Evaluating Model Explanations AAAI 2022
SHAP-Based Explanation Methods: A Review for NLP Interpretability COLING 2022
A Rigorous Study of Integrated Gradients Method and Extensions to Internal Neuron Attributions ICML 2022
Sanity Simulations for Saliency Methods ICML 2022
What Does My GNN Really Capture? On Exploring Internal GNN Representations IJCAI 2022
Logic Rule Guided Attribution with Dynamic Ablation AAAI 2022
New Definitions and Evaluations for Saliency Methods: Staying Intrinsic, Complete and Sound NIPS 2022
Accelerating Shapley Explanation via Contributive Cooperator Selection ICML 2022
Do Feature Attribution Methods Correctly Attribute Features? AAAI 2022
Keep CALM and Improve Visual Feature Attribution ICCV 2021
Alibi Explain: Algorithms for Explaining Machine Learning Models JMLR 2021
Explaining by Removing: A Unified Framework for Model Explanation JMLR 2021
Explaining Deep Learning Models for Speech Enhancement INTERSPEECH 2021
Leveraging Sparse Linear Layers for Debuggable Deep Networks ICML 2021
Towards Better Explanations of Class Activation Mapping ICCV 2021
Interpreting Text Classifiers by Learning Context-sensitive Influence of Words NAACL 2021
Interpreting Multivariate Shapley Interactions in DNNs AAAI 2021
Flow-based Attribution in Graphical Models: A Recursive Shapley Approach ICML 2021
Enjoy the Salience: Towards Better Transformer-based Faithful Explanations with Word Salience EMNLP 2021
Efficient Explanations from Empirical Explainers EMNLP 2021
Rationales for Sequential Predictions EMNLP 2021
Building Reliable Explanations of Unreliable Neural Networks: Locally Smoothing Perspective of Model Interpretation CVPR 2021
Guided Integrated Gradients: An Adaptive Path Method for Removing Noise CVPR 2021
Neural Response Interpretation Through the Lens of Critical Pathways CVPR 2021