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Papers
Locally Distributed Activation Vectors for Guided Feature Attribution
COLING 2022
Logic Rule Guided Attribution with Dynamic Ablation
AAAI 2022
Necessity and Sufficiency for Explaining Text Classifiers: A Case Study in Hate Speech Detection
NAACL 2022
New Definitions and Evaluations for Saliency Methods: Staying Intrinsic, Complete and Sound
NeurIPS 2022
On the Impact of Temporal Concept Drift on Model Explanations
EMNLP 2022
OpenXAI: Towards a Transparent Evaluation of Model Explanations
NeurIPS 2022
Post hoc Explanations may be Ineffective for Detecting Unknown Spurious Correlation
ICLR 2022
RKHS-SHAP: Shapley Values for Kernel Methods
NeurIPS 2022
Sanity Simulations for Saliency Methods
ICML 2022
Selective Ensembles for Consistent Predictions
ICLR 2022
SHAP-Based Explanation Methods: A Review for NLP Interpretability
COLING 2022
Towards Better Understanding Attribution Methods
CVPR 2022
Translation Error Detection as Rationale Extraction
ACL 2022
Using Shapley Values and Variational Autoencoders to Explain Predictive Models with Dependent Mixed Features
JMLR 2022
WeightedSHAP: analyzing and improving Shapley based feature attributions
NeurIPS 2022
What Does My GNN Really Capture? On Exploring Internal GNN Representations
IJCAI 2022
“Why Not Other Classes?”: Towards Class-Contrastive Back-Propagation Explanations
NeurIPS 2022
“Will You Find These Shortcuts?” A Protocol for Evaluating the Faithfulness of Input Salience Methods for Text Classification
EMNLP 2022
XAI for Transformers: Better Explanations through Conservative Propagation
ICML 2022
You Mostly Walk Alone: Analyzing Feature Attribution in Trajectory Prediction
ICLR 2022
Adaptive wavelet distillation from neural networks through interpretations
NeurIPS 2021
Alibi Explain: Algorithms for Explaining Machine Learning Models
JMLR 2021
Attention Flows are Shapley Value Explanations
ACL 2021
Attention vs non-attention for a Shapley-based explanation method
NAACL 2021
Building Reliable Explanations of Unreliable Neural Networks: Locally Smoothing Perspective of Model Interpretation
CVPR 2021