Co-occurring keywords · papers mentioning both
Papers
What You See is What You Classify: Black Box Attributions
NeurIPS 2022
A Unified Taylor Framework for Revisiting Attribution Methods
AAAI 2021
Connecting Attributions and QA Model Behavior on Realistic Counterfactuals
EMNLP 2021
Convolutional Dynamic Alignment Networks for Interpretable Classifications
CVPR 2021
Dissecting Generation Modes for Abstractive Summarization Models via Ablation and Attribution
ACL 2021
Enhanced Regularizers for Attributional Robustness
AAAI 2021
Enhancing Multiple-choice Machine Reading Comprehension by Punishing Illogical Interpretations
EMNLP 2021
Explainable Models with Consistent Interpretations
AAAI 2021
Explaining Convolutional Neural Networks through Attribution-Based Input Sampling and Block-Wise Feature Aggregation
AAAI 2021
Exploring the Role of BERT Token Representations to Explain Sentence Probing Results
EMNLP 2021
GANMEX: One-vs-One Attributions using GAN-based Model Explainability
ICML 2021
Generating Deep Networks Explanations with Robust Attribution Alignment
ACML 2021
Improving Molecular Graph Neural Network Explainability with Orthonormalization and Induced Sparsity
ICML 2021
Interpreting Deep Neural Networks with Relative Sectional Propagation by Analyzing Comparative Gradients and Hostile Activations
AAAI 2021
Interpreting Multivariate Shapley Interactions in DNNs
AAAI 2021
On Smoother Attributions using Neural Stochastic Differential Equations
IJCAI 2021
Saliency is a Possible Red Herring When Diagnosing Poor Generalization
ICLR 2021
Towards Rigorous Interpretations: a Formalisation of Feature Attribution
ICML 2021
Visualization of Supervised and Self-Supervised Neural Networks via Attribution Guided Factorization
AAAI 2021
Attribution in Scale and Space
CVPR 2020
CAUSE: Learning Granger Causality from Event Sequences using Attribution Methods
ICML 2020
Evaluating Attribution for Graph Neural Networks
NeurIPS 2020
Evaluating Attribution Methods using White-Box LSTMs
EMNLP 2020
Exploring Weaknesses of VQA Models through Attribution Driven Insights
ACL 2020
How do Decisions Emerge across Layers in Neural Models? Interpretation with Differentiable Masking
EMNLP 2020