Co-occurring keywords · papers mentioning both
Papers
Considering Likelihood in NLP Classification Explanations with Occlusion and Language Modeling
ACL 2020
Evaluating Explanation Methods for Neural Machine Translation
ACL 2020
Fairwashing explanations with off-manifold detergent
ICML 2020
Learning Deep Attribution Priors Based On Prior Knowledge
NeurIPS 2020
Relation-Based Counterfactual Explanations for Bayesian Network Classifiers
IJCAI 2020
Explanations can be manipulated and geometry is to blame
NeurIPS 2019
Human-grounded Evaluations of Explanation Methods for Text Classification
EMNLP 2019
Interpretable Question Answering on Knowledge Bases and Text
ACL 2019
On the (In)fidelity and Sensitivity of Explanations
NeurIPS 2019
Evaluating neural network explanation methods using hybrid documents and morphosyntactic agreement
ACL 2018
Explaining Multi-Criteria Decision Aiding Models with an Extended Shapley Value
IJCAI 2018
Learning how to explain neural networks: PatternNet and PatternAttribution
ICLR 2018