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

Distilled Gradient Aggregation: Purify Features for Input Attribution in the Deep Neural Network NIPS 2022
FOCUS: Flexible Optimizable Counterfactual Explanations for Tree Ensembles AAAI 2022
Translation Error Detection as Rationale Extraction ACL 2022
Evaluating Explainable AI on a Multi-Modal Medical Imaging Task: Can Existing Algorithms Fulfill Clinical Requirements? AAAI 2022
Improve Interpretability of Neural Networks via Sparse Contrastive Coding EMNLP 2022
A Consistent and Efficient Evaluation Strategy for Attribution Methods ICML 2022
An Empirical Study on Explanations in Out-of-Domain Settings ACL 2022
Double Trouble: How to not Explain a Text Classifier’s Decisions Using Counterfactuals Synthesized by Masked Language Models? IJCNLP 2022
Improving Attribution Methods by Learning Submodular Functions AISTATS 2022
Necessity and Sufficiency for Explaining Text Classifiers: A Case Study in Hate Speech Detection NAACL 2022
Using Shapley Values and Variational Autoencoders to Explain Predictive Models with Dependent Mixed Features JMLR 2022
Domain Classification-based Source-specific Term Penalization for Domain Adaptation in Hate-speech Detection COLING 2022
GrammarSHAP: An Efficient Model-Agnostic and Structure-Aware NLP Explainer ACL 2022
XAI for Transformers: Better Explanations through Conservative Propagation ICML 2022
WeightedSHAP: analyzing and improving Shapley based feature attributions NIPS 2022
Doctor XAvIer: Explainable Diagnosis on Physician-Patient Dialogues and XAI Evaluation ACL 2022
Attributing Fair Decisions with Attention Interventions NAACL 2022
RKHS-SHAP: Shapley Values for Kernel Methods NIPS 2022
Locally Aggregated Feature Attribution on Natural Language Model Understanding NAACL 2022
OpenXAI: Towards a Transparent Evaluation of Model Explanations NIPS 2022
A Functional Information Perspective on Model Interpretation ICML 2022
“Why Not Other Classes?”: Towards Class-Contrastive Back-Propagation Explanations NIPS 2022
Calibration Meets Explanation: A Simple and Effective Approach for Model Confidence Estimates EMNLP 2022
Locally Distributed Activation Vectors for Guided Feature Attribution COLING 2022
Axiomatic Foundations of Explainability IJCAI 2022