neural network explanation

Integrated Decision Gradients: Compute Your Attributions Where the Model Makes Its Decision AAAI 2024 Shortcomings of Top-Down Randomization-Based Sanity Checks for Evaluations of Deep Neural Network Explanations CVPR 2023 Concept Activation Regions: A Generalized Framework For Concept-Based Explanations NeurIPS 2022 Distilled Gradient Aggregation: Purify Features for Input Attribution in the Deep Neural Network NeurIPS 2022 Do Explanations Explain? Model Knows Best CVPR 2022 InterpretDL: Explaining Deep Models in PaddlePaddle JMLR 2022 Neuron Dependency Graphs: A Causal Abstraction of Neural Networks ICML 2022 Towards Better Understanding Attribution Methods CVPR 2022 Fine-Grained Neural Network Explanation by Identifying Input Features with Predictive Information NeurIPS 2021 Representer Point Selection via Local Jacobian Expansion for Post-hoc Classifier Explanation of Deep Neural Networks and Ensemble Models NeurIPS 2021 FLEX: Faithful Linguistic Explanations for Neural Net Based Model Decisions AAAI 2019 Rule induction for global explanation of trained models EMNLP 2018