Co-occurring keywords · papers mentioning both
Papers
Evaluating and Aggregating Feature-based Model Explanations
IJCAI 2020
Explain Your Move: Understanding Agent Actions Using Specific and Relevant Feature Attribution
ICLR 2020
Fairwashing explanations with off-manifold detergent
ICML 2020
How does This Interaction Affect Me? Interpretable Attribution for Feature Interactions
NeurIPS 2020
ICAM: Interpretable Classification via Disentangled Representations and Feature Attribution Mapping
NeurIPS 2020
Inserting Information Bottlenecks for Attribution in Transformers
EMNLP 2020
Learning Deep Attribution Priors Based On Prior Knowledge
NeurIPS 2020
ML-LOO: Detecting Adversarial Examples with Feature Attribution
AAAI 2020
Neuron Shapley: Discovering the Responsible Neurons
NeurIPS 2020
Restricting the Flow: Information Bottlenecks for Attribution
ICLR 2020
Robust and Stable Black Box Explanations
ICML 2020
Smoothed Geometry for Robust Attribution
NeurIPS 2020
Structured Self-Attention Weights Encode Semantics in Sentiment Analysis
EMNLP 2020
The elephant in the interpretability room: Why use attention as explanation when we have saliency methods?
EMNLP 2020
The Many Shapley Values for Model Explanation
ICML 2020
There and Back Again: Revisiting Backpropagation Saliency Methods
CVPR 2020
The Shapley Taylor Interaction Index
ICML 2020
Bias Also Matters: Bias Attribution for Deep Neural Network Explanation
ICML 2019
Building Human-Machine Trust via Interpretability
AAAI 2019
Classifier-Agnostic Saliency Map Extraction
AAAI 2019
Explaining Neural Networks Semantically and Quantitatively
ICCV 2019
FLEX: Faithful Linguistic Explanations for Neural Net Based Model Decisions
AAAI 2019
Hierarchical interpretations for neural network predictions
ICLR 2019
How Important is a Neuron
ICLR 2019
Incorporating Priors with Feature Attribution on Text Classification
ACL 2019