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feature attribution

317 papers

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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