model interpretation

From Shapley Values to Generalized Additive Models and back AISTATS 2023 Learning with Explanation Constraints NeurIPS 2023 MM-SHAP: A Performance-agnostic Metric for Measuring Multimodal Contributions in Vision and Language Models & Tasks ACL 2023 NeuroX Library for Neuron Analysis of Deep NLP Models ACL 2023 PWSHAP: A Path-Wise Explanation Model for Targeted Variables ICML 2023 Re-calibrating Feature Attributions for Model Interpretation ICLR 2023 Rethinking Interpretation: Input-Agnostic Saliency Mapping of Deep Visual Classifiers AAAI 2023 Use perturbations when learning from explanations NeurIPS 2023 What does a Text Classifier Learn about Morality? An Explainable Method for Cross-Domain Comparison of Moral Rhetoric ACL 2023 XMD: An End-to-End Framework for Interactive Explanation-Based Debugging of NLP Models ACL 2023 An Adversarial Framework for Generating Unseen Images by Activation Maximization AAAI 2022 Consistent Explanations by Contrastive Learning CVPR 2022 Do Charge Prediction Models Learn Legal Theory? EMNLP 2022 Do Feature Attribution Methods Correctly Attribute Features? AAAI 2022 How (Un)Faithful is Attention? EMNLP 2022 If Influence Functions are the Answer, Then What is the Question? NeurIPS 2022 Improving Large-Scale Conversational Assistants using Model Interpretation based Training Sample Selection EMNLP 2022 InterpretDL: Explaining Deep Models in PaddlePaddle JMLR 2022 Learning by Interpreting IJCAI 2022 Logic Rule Guided Attribution with Dynamic Ablation AAAI 2022 On the Sensitivity and Stability of Model Interpretations in NLP ACL 2022 PlanT: Explainable Planning Transformers via Object-Level Representations CoRL 2022 Predicting Fine-Tuning Performance with Probing EMNLP 2022 Reliable Visualization for Deep Speaker Recognition Interspeech 2022 RKHS-SHAP: Shapley Values for Kernel Methods NeurIPS 2022